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MeiRiYiCheng_1_old/YBDevice.Body/BodyFatHelper/BodyFatHelperService.cs

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using Furion;
using Furion.DependencyInjection;
using Hinse.Health.Service;
using Nirvana.Common;
using YBDevice.Core;
using YBDevice.Entity;
namespace YBDevice.Body.BodyFatHelper
{
/// <summary>
/// 体脂计算算法
/// </summary>
public class BodyFatHelperService : IBodyFatHelperService, ITransient
{
private static string RequestUrl = App.Configuration["BodyApiSettings:ApiUrl"];
private static string RequestaccessSecret = App.Configuration["BodyApiSettings:AccessSecret"];
private static string RequestaccessKey = App.Configuration["BodyApiSettings:AccessKey"];
private readonly IHttpClientFactory _clientFactory;
private readonly IHttp _http;
private readonly IHealthCalcService _healthcalcService;
public BodyFatHelperService(IHttpClientFactory clientFactory, IHttp http, IHealthCalcService healthCalcService)
{
_clientFactory = clientFactory;
_http = http;
_healthcalcService = healthCalcService;
}
/// <summary>
/// 身体得分
/// </summary>
/// <param name="bmi"></param>
/// <returns></returns>
public static double score(float bmi)
=> bmi switch
{
_ when bmi < 21.6 => bmi / 21.6 * 100,
_ when bmi >= 21.6 => 21.6 / bmi * 100,
_ => 60
};
/// <summary>
/// 体型
/// </summary>
/// <param name="fat_r">体脂率</param>
/// <param name="muscle">肌肉率</param>
/// <returns></returns>
public static string body(string fat_r, string muscle)
=> (fat_r, muscle) switch
{
_ when fat_r == NewLevelModel.Error || muscle == NewLevelModel.Error => NewLevelModel.Error,
_ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.notenu => NewLevelModel.hidefat,
_ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.normal => NewLevelModel.fat,
_ when (fat_r == NewLevelModel.high || fat_r == NewLevelModel.mhigh) && muscle == NewLevelModel.fine => NewLevelModel.strongfat,
_ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.notenu => NewLevelModel.notenumuscle,
_ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.normal => NewLevelModel.normalfat,
_ when (fat_r == NewLevelModel.normal) && muscle == NewLevelModel.fine => NewLevelModel.normalmuscle,
_ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.notenu => NewLevelModel.thin,
_ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.normal => NewLevelModel.thinmuscle,
_ when (fat_r == NewLevelModel.flat) && muscle == NewLevelModel.fine => NewLevelModel.perfetmuscle,
_ => NewLevelModel.hidefat
};
/// <summary>
/// 皮下脂肪标准
/// </summary>
/// <param name="sfr"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
public static string sfr(float sfr, double weight, int age, GenderType sex)
=> (weight, age, sex) switch
{
_ when sex == GenderType.Male && sfr < 7 && sfr > 0 => NewLevelModel.notenu,
_ when sex == GenderType.FeMale && sfr < 11 && sfr > 0 => NewLevelModel.notenu,
_ when sex == GenderType.Male && sfr >= 7 && sfr < 15 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && sfr >= 11 && sfr < 17 => NewLevelModel.normal,
_ when sex == GenderType.Male && sfr >= 15 => NewLevelModel.high,
_ when sex == GenderType.FeMale && sfr >= 17 => NewLevelModel.high,
_ => NewLevelModel.Error
};
/// <summary>
/// 体重标准
/// </summary>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <param name="height"></param>
/// <returns></returns>
public static string weight(double weight, int age, GenderType sex, int height)
=> (weight, age, sex, height) switch
{
_ when weight < 18.5 * Math.Pow(height / 100, 2) => NewLevelModel.thin,
_ when weight >= 18.5 * Math.Pow(height / 100, 2) && weight < 25 * Math.Pow(height / 100, 2) => NewLevelModel.normal,
_ when weight >= 25 * Math.Pow(height / 100, 2) && weight < 30 * Math.Pow(height / 100, 2) => NewLevelModel.fat,
_ when weight >= 30 * Math.Pow(height / 100, 2) => NewLevelModel.mfat,
_ => NewLevelModel.thin
};
/// <summary>
/// bmi标准
/// </summary>
/// <param name="bmi"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <param name="height"></param>
/// <returns></returns>
public static string bmi(float bmi, double weight, int age, GenderType sex, int height)
=> (weight, age, sex) switch
{
_ when bmi < 18.5 => NewLevelModel.thin,
_ when bmi >= 18.5 && bmi < 25 => NewLevelModel.normal,
_ when bmi >= 25 && bmi < 30 => NewLevelModel.fat,
_ when bmi >= 30 => NewLevelModel.mfat,
_ => NewLevelModel.thin
};
/// <summary>
/// 水份标准
/// </summary>
/// <param name="water"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
public static string water(float water, double weight, int age, GenderType sex)
=> (water, weight, age, sex) switch
{
_ when water <= 0 => NewLevelModel.Error,
_ when sex == GenderType.Male && water < 55 => NewLevelModel.notenu,
_ when sex == GenderType.FeMale && water < 45 => NewLevelModel.notenu,
_ when sex == GenderType.Male && water < 65 && water >= 55 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && water < 60 && water >= 45 => NewLevelModel.normal,
_ when sex == GenderType.Male && water >= 65 => NewLevelModel.fine,
_ when sex == GenderType.FeMale && water >= 60 => NewLevelModel.fine,
_ => NewLevelModel.notenu
};
public static string visceral(float visceral, double weight, int age, GenderType sex)
=> (visceral, weight, age, sex) switch
{
_ when visceral <= 0 => NewLevelModel.Error,
_ when visceral < 9 && visceral > 0 => NewLevelModel.normal,
_ when visceral < 14 && visceral >= 9 => NewLevelModel.alert,
_ when visceral >= 14 => NewLevelModel.danger,
_ => NewLevelModel.Error
};
public static string protein(float protein, double weight, int age, GenderType sex)
=> (protein, weight, age, sex) switch
{
_ when protein <= 0 => NewLevelModel.Error,
_ when sex == GenderType.Male && protein < 16 => NewLevelModel.notenu,
_ when sex == GenderType.FeMale && protein < 14 => NewLevelModel.notenu,
_ when sex == GenderType.Male && protein >= 16 && protein < 18 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && protein >= 14 && protein < 16 => NewLevelModel.normal,
_ when sex == GenderType.Male && protein >= 18 => NewLevelModel.fine,
_ when sex == GenderType.FeMale && protein >= 16 => NewLevelModel.fine,
_ => NewLevelModel.notenu
};
/// <summary>
/// 内脂标准
/// </summary>
/// <param name="visceral"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
/// <summary>
/// 蛋白质标准
/// </summary>
/// <param name="protein"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
/// <summary>
/// 肌肉率标准
/// </summary>
/// <param name="muscle"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
public static string muscle(float muscle, double weight, int age, GenderType sex)
=> (muscle, weight, age, sex) switch
{
_ when muscle <= 0 => NewLevelModel.Error,
_ when sex == GenderType.Male && muscle < 40 => NewLevelModel.notenu,
_ when sex == GenderType.FeMale && muscle < 30 => NewLevelModel.notenu,
_ when sex == GenderType.Male && muscle >= 40 && muscle < 60 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && muscle >= 30 && muscle < 50 => NewLevelModel.normal,
_ when sex == GenderType.Male && muscle >= 60 => NewLevelModel.fine,
_ when sex == GenderType.FeMale && muscle >= 50 => NewLevelModel.fine,
_ => NewLevelModel.notenu
};
/// <summary>
/// 基础代谢计算标准
/// </summary>
/// <param name="kcal"></param>
/// <param name="weight"></param>
/// <param name="age"></param>
/// <param name="sex"></param>
/// <returns></returns>
public static string kcal(float kcal, double weight, int age, GenderType sex)
=> (kcal, weight, age, sex) switch
{
_ when kcal <= 0 => NewLevelModel.Error,
_ when age > 0 && age < 3 && ((kcal < (60.9 * weight - 54) && sex == GenderType.Male) || (kcal < (61.0 * weight - 51) && sex == GenderType.FeMale)) => NewLevelModel.flat,
_ when age > 0 && age < 3 && ((kcal >= (60.9 * weight - 54) && sex == GenderType.Male) || (kcal >= (61.0 * weight - 51) && sex == GenderType.FeMale)) => NewLevelModel.fine,
_ when age >= 3 && age < 10 && ((kcal < (22.7 * weight + 495) && sex == GenderType.Male) || (kcal < (22.5 * weight + 499) && sex == GenderType.FeMale)) => NewLevelModel.flat,
_ when age >= 3 && age < 10 && ((kcal >= (22.7 * weight + 495) && sex == GenderType.Male) || (kcal >= (22.5 * weight + 499) && sex == GenderType.FeMale)) => NewLevelModel.fine,
_ when age >= 10 && age < 18 && ((kcal < (17.5 * weight + 651) && sex == GenderType.Male) || (kcal < (12.2 * weight + 746) && sex == GenderType.FeMale)) => NewLevelModel.flat,
_ when age >= 10 && age < 18 && ((kcal >= (17.5 * weight + 651) && sex == GenderType.Male) || (kcal >= (12.2 * weight + 746) && sex == GenderType.FeMale)) => NewLevelModel.fine,
_ when age >= 18 && age < 30 && ((kcal < (15.3 * weight + 679) && sex == GenderType.Male) || (kcal < (14.7 * weight + 496) && sex == GenderType.FeMale)) => NewLevelModel.flat,
_ when age >= 18 && age < 30 && ((kcal >= (15.3 * weight + 679) && sex == GenderType.Male) || (kcal >= (14.7 * weight + 496) && sex == GenderType.FeMale)) => NewLevelModel.fine,
_ when age >= 30 && ((kcal < (11.6 * weight + 879) && sex == GenderType.Male) || (kcal < (8.7 * weight + 820) && sex == GenderType.FeMale)) => NewLevelModel.flat,
_ when age >= 30 && ((kcal >= (11.6 * weight + 879) && sex == GenderType.Male) || (kcal >= (8.7 * weight + 820) && sex == GenderType.FeMale)) => NewLevelModel.fine,
_ => NewLevelModel.flat
};
/// <summary>
/// 骨重标准
/// </summary>
/// <param name="bone">骨重</param>
/// <param name="weight"></param>
/// <param name="sex"></param>
/// <returns></returns>
public static string bone(float bone, double weight, GenderType sex)
=> (bone, weight, sex) switch
{
//_ when bone <= 0 => NewLevelModel.Error,
//_ when sex == GenderType.Male && ((weight < 60 && bone < 2.4) || (weight >= 60 && weight < 75 && bone < 2.8) || (weight >= 75 && bone < 3.1)) =>
//NewLevelModel.notenu,
//_ when sex == GenderType.FeMale && ((weight < 45 && bone < 1.7) || (weight >= 45 && weight < 60 && bone < 2.1) || (weight >= 60 && bone < 2.4)) =>
//NewLevelModel.notenu,
//_ when sex == GenderType.Male && ((weight < 60 && bone >= 2.4 && bone <= 2.6) || (weight >= 60 && weight < 75 && bone >= 2.8 && bone <= 30) || (weight >= 75 && bone >= 3.1 && bone <= 3.3)) =>
//NewLevelModel.normal,
//_ when sex == GenderType.FeMale && ((weight < 45 && bone >= 1.7 && bone <= 1.9) || (weight >= 45 && weight < 60 && bone <= 2.3 && bone >= 2.1) || (weight >= 60 && bone <= 2.6 && bone >= 2.4)) =>
//NewLevelModel.normal,
//_ when sex == GenderType.Male && ((weight < 60 && bone > 2.6) || (weight >= 60 && weight < 75 && bone > 3.0) || (weight >= 75 && bone > 3.3)) =>
//NewLevelModel.fine,
//_ when sex == GenderType.FeMale && ((weight < 45 && bone > 1.9) || (weight >= 45 && weight < 60 && bone > 2.3) || (weight >= 60 && bone > 2.6)) =>
//NewLevelModel.fine,
//_ => NewLevelModel.notenu
_ when bone <= 0 => NewLevelModel.Error,
_ when sex == GenderType.Male && ((weight < 60 && bone < 2.4.ToDecimal().ToFloat()) || (weight >= 60 && weight < 75 && bone < 2.8.ToDecimal().ToFloat()) || (weight >= 75 && bone < 3.1.ToDecimal().ToFloat())) =>
NewLevelModel.notenu,
_ when sex == GenderType.FeMale && ((weight < 45 && bone < 1.7.ToDecimal().ToFloat()) || (weight >= 45 && weight < 60 && bone < 2.1.ToDecimal().ToFloat()) || (weight >= 60 && bone < 2.4.ToDecimal().ToFloat())) =>
NewLevelModel.notenu,
_ when sex == GenderType.Male && ((weight < 60 && bone >= 2.4.ToDecimal().ToFloat() && bone <= 2.6.ToDecimal().ToFloat()) || (weight >= 60 && weight < 75 && bone >= 2.8.ToDecimal().ToFloat() && bone <= 3.0.ToDecimal().ToFloat()) || (weight >= 75 && bone >= 3.1.ToDecimal().ToFloat() && bone <= 3.3.ToDecimal().ToFloat())) =>
NewLevelModel.normal,
_ when sex == GenderType.FeMale && ((weight < 45 && bone >= 1.7.ToDecimal().ToFloat() && bone <= 1.9) || (weight >= 45 && weight < 60 && bone <= 2.3.ToDecimal().ToFloat() && bone >= 2.1.ToDecimal().ToFloat()) || (weight >= 60 && bone <= 2.6 && bone >= 2.4)) =>
NewLevelModel.normal,
_ when sex == GenderType.Male && ((weight < 60 && bone > 2.6.ToDecimal().ToFloat()) || (weight >= 60 && weight < 75 && bone > 3.0.ToDecimal().ToFloat()) || (weight >= 75 && bone > 3.3.ToDecimal().ToFloat())) =>
NewLevelModel.fine,
_ when sex == GenderType.FeMale && ((weight < 45 && bone > 1.9.ToDecimal().ToFloat()) || (weight >= 45 && weight < 60 && bone > 2.3.ToDecimal().ToFloat()) || (weight >= 60 && bone > 2.6.ToDecimal().ToFloat())) =>
NewLevelModel.fine,
_ => NewLevelModel.notenu
};
/// <summary>
/// 体龄计算方法
/// </summary>
/// <param name="bodyage"></param>
/// <param name="age"></param>
/// <returns></returns>
public static string bodyage(int bodyage, int age)
=> (bodyage, age) switch
{
_ when bodyage > age => NewLevelModel.big,
_ when bodyage == age => NewLevelModel.normal,
_ when bodyage <= 0 => NewLevelModel.Error,
_ => NewLevelModel.fine
};
/// <summary>
/// bmi 计算标准
/// </summary>
/// <param name="bmi">BMI</param>
/// <returns></returns>
public static string bmi(float bmi)
=> bmi switch
{
_ when bmi < 18.5 && bmi > 0 => BMILevelConst.Thin,
_ when bmi >= 18.5 && bmi < 25 => BMILevelConst.Normal,
_ when bmi >= 25 && bmi < 30 => BMILevelConst.OverWeight,
_ when bmi >= 30 && bmi <= 50 => BMILevelConst.Fat,
_ => LevelConst.Error
};
/// <summary>
/// 脂肪率标准计算
/// </summary>
/// <param name="fat_r">脂肪率</param>
/// <param name="sex">0-女,1-男</param>
/// <param name="age">年龄</param>
/// <returns></returns>
public static string Fat_r(float fat_r, GenderType sex, int age)
=> (fat_r, sex, age) switch
{
_ when sex == GenderType.Male && age < 30 && fat_r < 10 && fat_r > 0 => NewLevelModel.flat,
_ when sex == GenderType.Male && age >= 30 && fat_r < 11 && fat_r > 0 => NewLevelModel.flat,
_ when sex == GenderType.FeMale && age < 30 && fat_r < 20 && fat_r > 0 => NewLevelModel.flat,
_ when sex == GenderType.FeMale && age >= 30 && fat_r < 21 && fat_r > 0 => NewLevelModel.flat,
_ when sex == GenderType.Male && age < 30 && fat_r >= 10 && fat_r < 21 => NewLevelModel.normal,
_ when sex == GenderType.Male && age >= 30 && fat_r >= 11 && fat_r < 22 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && age < 30 && fat_r >= 20 && fat_r < 31 => NewLevelModel.normal,
_ when sex == GenderType.FeMale && age >= 30 && fat_r >= 21 && fat_r < 32 => NewLevelModel.normal,
_ when sex == GenderType.Male && age < 30 && fat_r > 21 && fat_r < 26 => NewLevelModel.high,
_ when sex == GenderType.Male && age >= 30 && fat_r >= 22 && fat_r < 27 => NewLevelModel.high,
_ when sex == GenderType.FeMale && age < 30 && fat_r >= 31 && fat_r < 38 => NewLevelModel.high,
_ when sex == GenderType.FeMale && age >= 30 && fat_r >= 32 && fat_r < 39 => NewLevelModel.high,
_ when sex == GenderType.Male && age < 30 && fat_r >= 26 && fat_r <= 80 => NewLevelModel.mhigh,
_ when sex == GenderType.Male && age >= 30 && fat_r >= 27 && fat_r <= 80 => NewLevelModel.mhigh,
_ when sex == GenderType.FeMale && age < 30 && fat_r >= 38 && fat_r <= 80 => NewLevelModel.mhigh,
_ when sex == GenderType.FeMale && age >= 30 && fat_r >= 39 && fat_r <= 80 => NewLevelModel.mhigh,
_ => NewLevelModel.Error
};
/// <summary>
/// 计算算法
/// </summary>
/// <param name="weight">体重</param>
/// <param name="height">身高</param>
/// <param name="age">年龄</param>
/// <param name="adc">阻抗</param>
/// <param name="sex">性别,1-男,2-女</param>
/// <returns></returns>
public static BodyfatItem GetBodyfatResults(double weight, double height, int age, int adc, int sex)
{
BodyfatItem bodyfatItem = new BodyfatItem();
double mheight = height / 100;//米为单位的身高
if ((weight <= 0.0) || (weight > 220.0) || (height <= 0.0) || (height > 270.0) || (age <= 0) || (age > 120) || (adc <= 0) || (adc > 0x3e8) || (sex < 0) || (sex > 1))
{
object[] arg = new object[] { weight, height, age, adc, sex };
if (weight != 0 && height != 0)
bodyfatItem.bmi = (((double)((int)((weight / (mheight * mheight)) * 10.0))) / 10.0).ToString("0.0");
return bodyfatItem;
}
double num = (double)(int)(weight / (mheight * mheight) * 10.0) / 10.0;
double num2 = 0.0;
double num3 = 0.0;
double num4 = 0.0;
double num5 = 0.0;
double num6 = 0.0;
double num7 = 0.0;
double num8 = 0.0;
double num9 = 0.0;
double num10 = 0.0;
double num11 = 0.0;
if (sex == 1)
{
num2 = 0.015 * weight + (2.0 - 0.00055 * (double)adc) * height / 100.0 - 1.15;
num3 = (0.0 - (0.00115 * (double)adc + 0.01)) * weight + (49.64 - 0.031 * (double)adc) * height / 100.0 + (double)adc * 0.08 + (double)age * 0.04 + 15.4;
num4 = 1000000.0 / (num * (2.688 * (double)adc - 78.28)) - (double)(10058 / adc) - 0.22 * (double)age + 52.6;
num5 = -930000.0 / num / (1.966 * (double)adc - 58.46) + (double)(13176 / adc) - 0.06 * (double)age + 40.0;
num6 = 0.898 * num5;
num7 = 0.895 * num4;
num8 = 0.8 * (100.0 - num5 - num4 - num2 / weight);
num9 = 0.304 * weight - 25.58 * height / 100.0 + 0.131 * (double)age + 0.005 * (double)adc + 22.0;
num10 = (9.0 + 0.0015 * (double)adc) * weight + (1350.0 - 0.88 * (double)adc) * height / 100.0 + (double)(188 / age) + 0.748 * (double)adc - 1053.0;
num11 = (double)age * (1.0 + 0.012 * (num - 1.0)) - 21.0 + (double)(30 - age) * 0.35 + (double)(adc - 450) * 0.02 + 11.0;
}
else
{
num2 = 2.2E-05 * (double)adc * weight + (4.99 - 0.00284 * (double)adc) * height / 100.0 + 0.0012 * (double)adc - 4.45;
num3 = (0.0 - (0.00115 * (double)adc + 0.01)) * weight + (49.64 - 0.031 * (double)adc) * height / 100.0 + (double)adc * 0.08 + (double)age * 0.04 + 6.0;
num4 = 1000000.0 / (num * (2.467 * (double)adc - 75.37)) - (double)(14215 / adc) - 0.034 * (double)age + 43.2;
num5 = -3030000.0 / (num + 20.0) / (1.966 * (double)adc - 58.46) + (double)(28176 / adc) - 0.06 * (double)age + 51.0;
num6 = 0.876 * num5 + 1.66;
num7 = 0.857 * num4 - 0.36;
num8 = 0.75 * (100.0 - num5 - num4 - num2 / weight);
num9 = 0.304 * weight - 25.58 * height / 100.0 + 0.131 * (double)age + 0.005 * (double)adc + 22.0;
num10 = (0.00307 * (double)adc + 1.5) * weight + (1459.0 - 0.989 * (double)adc) * height / 100.0 + (double)age * 0.9 + 0.923 * (double)adc - 950.0;
num11 = (double)age * (0.95 + 0.02 * (num - 21.2)) + (double)(adc - 500) * 0.02;
}
bodyfatItem.bmi = num.ToString("0.0");
num2 = ((num2 > weight * 0.15) ? (weight * 0.15) : num2);
bodyfatItem.bm = ((num2 < weight * 0.02) ? (weight * 0.02) : num2).ToString("0.0");
num3 = ((num3 > 75.0) ? 75.0 : num3);
bodyfatItem.rom = ((num3 < 15.0) ? 15.0 : num3).ToString("0.0");
num4 = ((num4 > 70.0) ? 70.0 : num4);
bodyfatItem.moi = ((num4 < 20.0) ? 20.0 : num4).ToString("0.0");
num5 = ((num5 > 50.0) ? 50.0 : num5);
bodyfatItem.bfr = ((num5 < 5.0) ? 5.0 : num5).ToString("0.0");
bodyfatItem.sfr = num6 <= 0 ? "0" : num6.ToString("0.0");
bodyfatItem.rosm = num7.ToString("0.0");
num8 = ((num8 > 50.0) ? 50.0 : num8);
bodyfatItem.pp = ((num8 < 10.0) ? 10.0 : num8).ToString("0.0");
num9 = ((num9 > 20.0) ? 20.0 : num9);
bodyfatItem.uvi = ((num9 < 1.0) ? 1.0 : num9).ToString("0");
bodyfatItem.bmr = num10 <= 0 ? "0" : num10.ToString("0");
if (age < 18)
{
num11 = age;
}
else
{
num11 = ((num11 > (double)(age + 10)) ? ((double)(age + 10)) : num11);
num11 = ((num11 < (double)(age - 10)) ? ((double)(age - 10)) : num11);
}
bodyfatItem.physicAge = num11.ToString("0");
bodyfatItem.weight = weight;
bodyfatItem.height = height;
bodyfatItem.age = age;
bodyfatItem.adc = adc;
bodyfatItem.sex = sex;
return bodyfatItem;
}
public static BodyfatItem Old_GetBodyfatResults(double weight, double height, int age, int adc, int sex)
{
BodyfatItem item = new BodyfatItem();
if ((weight <= 0.0) || ((weight > 220.0) || ((height <= 0.0) || ((height > 270.0) || ((age <= 0) || ((age > 120) || ((adc <= 0) || ((adc > 0x3e8) || ((sex < 0) || (sex > 1))))))))))
{
object[] arg = new object[] { weight, height, age, adc, sex };
Console.WriteLine("[input params invalid] weight:{0} height:{1} age:{2} adc:{3} sex:{4}", arg);
if (weight != 0 && height != 0)
item.bmi = (((double)((int)((weight / (height * height)) * 10.0))) / 10.0).ToString("0.0");
return item;
}
double bmi = ((double)((int)((weight / (height * height)) * 10.0))) / 10.0;
double bm = 0.0;//骨量
double rom = 0.0;//肌肉率
double moi = 0.0;//水份
double bfr = 0.0;//脂肪率
double sfr = 0.0;//皮下脂肪率
double rosm = 0.0;//骨骼肌率
double pp = 0.0;//蛋白率
double uvi = 0.0;//内脏脂肪指数
double bmr = 0.0;//基础代谢率
double physicAge = 0.0;//身体年龄
if (sex == 1)
{
bm = ((0.015 * weight) + (((2.0 - (0.00055 * adc)) * height) / 100.0)) + 1.15;
rom = ((((-((0.00115 * adc) + 0.01) * weight) + (((49.64 - (0.031 * adc)) * height) / 100.0)) + (adc * 0.08)) + (age * 0.04)) + 15.4;
moi = (((0xf_4240 / (bmi * ((2.688 * adc) - 78.28))) - (0x274a / adc)) - (0.22 * age)) + 52.6;
bfr = ((((-930_000.0 / bmi) / ((1.966 * adc) - 58.46)) + (0x3378 / adc)) - (0.06 * age)) + 40.0;
sfr = 0.898 * bfr;
rosm = 0.895 * moi;
pp = 0.8 * (((100.0 - bfr) - moi) - (bm / weight));
uvi = ((((0.304 * weight) + ((25.58 * height) / 100.0)) + (0.131 * age)) + (0.005 * adc)) - 0x16;
//bmr = (((((9.0 + (0.0015 * adc)) * weight) + (((0x546 - (0.88 * adc)) * height) / 100.0)) + (0xbc / age)) + (0.748 * adc)) - 0x41d;
bmr = 370 + 21.6 * weight * (1 - bfr / 100);
physicAge = ((((age * (1.0 + (0.012 * (bmi - 1.0)))) - 0x15) + ((30 - age) * 0.35)) + ((adc - 450) * 0.02)) + 11.0;
}
else
{
bm = ((((2.2E-05 * adc) * weight) + (((4.99 - (0.00284 * adc)) * height) / 100.0)) + (0.0012 * adc)) + 1.15;
rom = ((((-((0.00115 * adc) + 0.01) * weight) + (((49.64 - (0.031 * adc)) * height) / 100.0)) + (adc * 0.08)) + (age * 0.04)) + 6.0;
moi = (((0xf_4240 / (bmi * ((2.467 * adc) - 75.37))) - (0x3787 / adc)) - (0.034 * age)) + 43.2;
bfr = ((((-3_030_000.0 / (bmi + 20.0)) / ((1.966 * adc) - 58.46)) + (0x6e10 / adc)) - (0.06 * age)) + 0x33;
sfr = (0.876 * bfr) + 1.66;
rosm = (0.857 * moi) - 0.36;
pp = 0.75 * (((100.0 - bfr) - moi) - (bm / weight));
uvi = ((((0.304 * weight) + ((25.58 * height) / 100.0)) + (0.131 * age)) + (0.005 * adc)) - 0x16;
bmr = 370 + 21.6 * weight * (1 - bfr / 100);
//bmr = ((((((0.00307 * adc) + 1.5) * weight) + (((0x5b3 - (0.989 * adc)) * height) / 100.0)) + (age * 0.9)) + (0.923 * adc)) - 950.0;
physicAge = (age * (0.95 + (0.02 * (bmi - 21.2)))) + ((adc - 500) * 0.02);
}
item.bmi = bmi.ToString("0.0");
bm = (bm > (weight * 0.15)) ? (weight * 0.15) : bm;
item.bm = ((bm < (weight * 0.02)) ? (weight * 0.02) : bm).ToString("0.0");
rom = (rom > 0x4b) ? 0x4b : rom;
item.rom = ((rom < 15.0) ? 15.0 : rom).ToString("0.0");
moi = (moi > 70.0) ? 70.0 : moi;
item.moi = ((moi < 20.0) ? 20.0 : moi).ToString("0.0");
bfr = (bfr > 50.0) ? 50.0 : bfr;
item.bfr = ((bfr < 5.0) ? 5.0 : bfr).ToString("0.0");
item.sfr = sfr.ToString("0.0");
item.rosm = rosm.ToString("0.0");
pp = (pp > 50.0) ? 50.0 : pp;
item.pp = ((pp < 10.0) ? 10.0 : pp).ToString("0.0");
uvi = (uvi > 20.0) ? 20.0 : uvi;
item.uvi = ((uvi < 1.0) ? 1.0 : uvi).ToString("0");
item.bmr = bmr.ToString("0.0");
if (age < 0x12)
{
physicAge = age;
}
else
{
physicAge = (physicAge > (age + 10)) ? ((double)(age + 10)) : physicAge;
physicAge = (physicAge < (age - 10)) ? ((double)(age - 10)) : physicAge;
}
item.physicAge = physicAge.ToString("0");
item.weight = weight;
item.height = height;
item.age = age;
item.adc = adc;
item.sex = sex;
return item;
}
/// <summary>
/// BMI值计算
/// </summary>
/// <param name="height">身高,厘米</param>
/// <param name="weight">体重,公斤</param>
/// <returns></returns>
public decimal CalcBMi(decimal height, decimal weight)
{
if (height == 0 || weight == 0)
{
return 0;
}
decimal mheight = height / (100 * 1.0m);//转换为米
return (weight / (mheight * mheight) * 10.0m / 10.0m).ToDecimal(1);
}
/// <summary>
/// 结果计算
/// </summary>
/// <param name="model"></param>
/// <returns></returns>
public UserMeasureModel CalcBodyFat(MeasureCalcDto model)
{
//算法使用的性别为0-女,1-男
GenderType sex = model.sex;
int age = model.age;
double weight = model.weight.ToDouble();
int height = model.height.ToInt();
decimal dweight = weight.ToDecimal();
model.StandardWeight = standweight(height, sex).ToDecimal(2);
model.fat_w = (model.fat_r.ToDouble() * weight / 100).ToDecimal(2);
model.lbm = ((1 - model.fat_r.ToDouble() / 100) * weight).ToDecimal(2);
model.muscleval = (weight * (model.muscle.ToDouble() / 100)).ToDecimal(2);
model.proteinval = (weight * (model.protein.ToDouble() / 100)).ToDecimal(2);
if (model.imp <= 0)
{
decimal mheight = (height.ToDecimal()) / (100 * 1.0m);
var returndata = new UserMeasureModel
{
weight = model.height,
bmi = (((dweight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
standardWeight = standweight(height, sex).ToString("f2"),
};
returndata.bmiLevel = bmi(model.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
double levels = (weight - returndata.standardWeight.ToDouble()) / returndata.standardWeight.ToDouble();
returndata.fatLevel = fatlevel(levels);
returndata.fatlevlval = levels.ToString("f2");
return returndata;
}
var data = new UserMeasureModel
{
bmi = model.bmi,
bmiLevel = bmi(model.bmi.ToFloat()),
fat_r = model.fat_r,
fat_rLevel = Fat_r(model.fat_r.ToFloat(), sex, age),
bodyage = model.bodyage,
bodyageLevel = bodyage(model.bodyage, age),
fat_w = model.fat_w,
fat_wLevel = Fat_r(model.fat_r.ToFloat(), sex, age),
bone = model.bone,
boneLevel = bone(model.bone.ToFloat(), weight, sex),
kcal = model.kcal < 0 ? 0 : model.kcal,
kcalLevel = kcal(model.kcal.ToFloat(), weight, age, sex),
muscle = model.muscle,
muscleLevel = muscle(model.muscle.ToFloat(), weight, age, sex),
protein = model.protein,
proteinLevel = protein(model.protein.ToFloat(), weight, age, sex),
visceral = model.visceral,
visceralLevel = visceral(model.visceral.ToFloat(), weight, age, sex),
water = model.water,
waterLevel = water(model.water.ToFloat(), weight, age, sex),
cmi = score(model.bmi.ToFloat()).ToDecimal(1),
muscleval = model.muscleval,
proteinval = model.proteinval,
lbm = model.lbm,
standardWeight = model.StandardWeight.ToString(),
sfr = model.sfr.ToDecimal(2),
sfrLevel = sfr(model.sfr.ToFloat(), weight, age, sex),
body = "0",
standardfat_r = fa_r_value(sex, age).ToJson(),
standardbmi = bmi_value(sex, age).ToJson(),
standardmuscle = muscle_value(sex, age).ToJson(),
standardmuscleval = muscleval_value(sex, age, dweight).ToJson(),
standardwater = water_value(sex, age).ToJson(),
standardbone = bone_value(sex, age, dweight).ToJson(),
standardkcal = kcal_value(sex, age, dweight).ToJson(),
standardfat_w = fat_w_value(sex, age, dweight).ToJson(),
standardviscera = visceral_value(sex, age).ToJson(),
standardprotein = protein_value(sex, age).ToJson(),
standardproteinval = proteinval_value(sex, age, dweight).ToJson(),
standardbodyage = "",
standardsfr = sfr_value(sex, age).ToJson(),
weight = model.weight.ToDecimal(),
fatlevlval = model.fatlevlval
};
data.bodylevel = body(data.fat_rLevel, data.muscleLevel);
data.musulevalLevel = data.muscleLevel;
data.proteinvalLevel = data.proteinLevel;
// double level = (weight - data.standardWeight.ToDouble()) /
// data.standardWeight.ToDouble();
data.fatLevel = model.IsCalc == 1 ? model.fatlevlval : fatlevel(model.fatlevlval.ToDouble());
// data.fatlevlval = level.ToString("f2");
return data;
}
/// <summary>
/// 二、四电极计算体脂
/// </summary>
/// <param name="weight">体重,单位为kg</param>
/// <param name="height">身高,单位为厘米</param>
/// <param name="age">年龄</param>
/// <param name="adc">阻抗</param>
/// <param name="sex">性别,1-男，2-女,0-未知</param>
/// <returns></returns>
public UserMeasureModel CalcBodyFat(double weight, double height, int age, int adc, GenderType sex)
{
//算法使用的性别为0-女,1-男
int sexval = sex == GenderType.FeMale ? 0 : 1;
var result = GetBodyfatResults(weight, height, age, adc, sexval);
decimal dwegiht = weight.ToDecimal();
var data = new UserMeasureModel
{
bmi = result.bmi.ToDecimal(),
bmiLevel = bmi(result.bmi.ToFloat()),
fat_r = result.bfr.ToDecimal(),
fat_rLevel = Fat_r(result.bfr.ToFloat(), sex, age),
bodyage = result.physicAge.ToInt(),
bodyageLevel = bodyage(result.physicAge.ToInt(), age),
fat_w = (result.bfr.ToDouble() * weight / 100).ToDecimal(2),
fat_wLevel = Fat_r(result.bfr.ToFloat(), sex, age),
bone = result.bm.ToDecimal(),
boneLevel = bone(result.bm.ToFloat(), weight, sex),
kcal = result.bmr.ToDecimal() < 0 ? 0 : result.bmr.ToDecimal(),
kcalLevel = kcal(result.bmr.ToFloat(), weight, age, sex),
muscle = result.rom.ToDecimal(),
muscleLevel = muscle(result.rom.ToFloat(), weight, age, sex),
protein = result.pp.ToDecimal(),
proteinLevel = protein(result.pp.ToFloat(), weight, age, sex),
visceral = result.uvi.ToDecimal(),
visceralLevel = visceral(result.uvi.ToFloat(), weight, age, sex),
water = result.moi.ToDecimal(),
waterLevel = water(result.moi.ToFloat(), weight, age, sex),
cmi = score(result.bmi.ToFloat()).ToDecimal(1),
muscleval = (weight * (result.rom.ToDouble() / 100)).ToDecimal(2),
proteinval = (weight * (result.pp.ToDouble() / 100)).ToDecimal(2),
lbm = ((1 - result.bfr.ToDouble() / 100) * weight).ToDecimal(2),
standardWeight = standweight(height.ToInt(), sex).ToString("f2"),
sfr = result.sfr.ToDecimal(2),
sfrval = (weight * result.sfr.ToDouble() / 100).ToDecimal(2),
sfrLevel = sfr(result.sfr.ToFloat(), weight, age, sex),
body = "0",
standardfat_r = fa_r_value(sex, age).ToJson(),
standardbmi = bmi_value(sex, age).ToJson(),
standardmuscle = muscle_value(sex, age).ToJson(),
standardmuscleval = muscleval_value(sex, age, dwegiht).ToJson(),
standardwater = water_value(sex, age).ToJson(),
standardbone = bone_value(sex, age, dwegiht).ToJson(),
standardkcal = kcal_value(sex, age, dwegiht).ToJson(),
standardfat_w = fat_w_value(sex, age, dwegiht).ToJson(),
standardviscera = visceral_value(sex, age).ToJson(),
standardprotein = protein_value(sex, age).ToJson(),
standardproteinval = proteinval_value(sex, age, dwegiht).ToJson(),
standardbodyage = "",
standardsfr = sfr_value(sex, age).ToJson(),
weight = weight.ToDecimal(2),
height = height.ToDecimal(2),
skeletalmuscle = (weight * (result.rosm.ToDouble() / 100)).ToDecimal(2)
};
data.bodylevel = body(data.fat_rLevel, data.muscleLevel);
data.musulevalLevel = data.muscleLevel;
data.proteinvalLevel = data.proteinLevel;
double level = (weight - data.standardWeight.ToDouble()) / data.standardWeight.ToDouble();
data.fatLevel = fatlevel(level);
data.fatlevlval = level.ToString("f2");
return data;
}
/// <summary>
/// 八电极计算体脂
/// </summary>
/// <param name="weight">体重,单位为kg</param>
/// <param name="height">身高,单位为厘米</param>
/// <param name="age">年龄</param>
/// <param name="sex">性别,1-男，2-女,0-未知</param>
/// <param name="body">全身阻抗</param>
/// <param name="leftfoot">左脚阻抗</param>
/// <param name="lefthand">左手阻抗</param>
/// <param name="rightfoot">右脚阻抗</param>
/// <param name="righthand">右手阻抗</param>
public async Task<UserMeasureDto> CalcBody120FatAsync(decimal weight, decimal height, int age, GenderType sex, decimal lefthand, decimal righthand, decimal leftfoot, decimal rightfoot, decimal body)
{
if (weight == 0)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = 0,
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
if (height == 0)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = 0,
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = returndata.idealweight == 0 ? 0 : (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
var mheight = height / 100;
//阻抗测量失败
if (body <= 0 || body == 4294967295)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
//算法使用的是0-男,1-女
string sexval = sex == GenderType.FeMale ? "0" : "1";
var requestdata = new HetaiBodyRequestS2SDto
{
age = age.ToString(),
heightCm = height.ToString(),
peopleType = "0",
sex = sexval,
weightKg = weight.ToString(),
zLeftBodyEnCode = body.ToInt().ToString(),
zLeftArmEnCode = lefthand.ToInt().ToString(),
zLeftLegEnCode = leftfoot.ToInt().ToString(),
zRightArmEnCode = righthand.ToInt().ToString(),
zRightLegEnCode = rightfoot.ToInt().ToString()
};
//Console.WriteLine(requestdata.ToJson());
var hashtable = HashTableHelper.Object2Hashtable(requestdata);
var strA = Common.SortRequestParam(hashtable);
var accessSecret = RequestaccessSecret;
var accessKey = RequestaccessKey;
var timestamp = Common.GetTimestamps();
strA = $"{strA}&timestamp={timestamp}&accessSecret={accessSecret}";
var sign = Md5.md5(strA, 32).ToUpper();
var url = RequestUrl;
var loggerService = App.GetService<ILoggerService>();
string errmsg = String.Empty;
var response = await _http.PostBodyAsync(requestdata, accessKey, timestamp, sign, (res, erros) =>
{
errmsg = erros;
});
if (!string.IsNullOrEmpty(errmsg))
{
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{errmsg}",3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
var returnstr = await response.Content.ReadAsStringAsync();
if (response.IsSuccessStatusCode)
{
var codedata = returnstr.ToObject<BodyReponseInfo>();
if (codedata.code != 1000)
{
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}",3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
else
{
var responsedata = returnstr.ToObject<BodyReponseInfo<BodyResponseData>>();
var returndata = new UserMeasureDto()
{
weight = weight,
height = height
};
double dweight = weight.ToDouble();
foreach (var item in responsedata.data)
{
var name = item.name.ToLower();
if (name == "bmi")
{
returndata.bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1);
returndata.bmiLevel = GetBodyValueLevel(name, item);
returndata.bmiLevel = returndata.bmiLevel == "标准" ? "正常" : returndata.bmiLevel;
}
if (name == "bodyfatrate")
{
returndata.fat_r = GetBodyValue(name, item).ToDecimal();
//returndata.fat_rLevel = GetBodyValueLevel(name, item);
returndata.fat_rLevel = Fat_r((float)returndata.fat_r, sex, age);
returndata.fat_wLevel = returndata.fat_rLevel;
}
if (name == "bonekg")
{
returndata.bone = GetBodyValue(name, item).ToDecimal();
//returndata.boneLevel = GetBodyValueLevel(name, item);
returndata.boneLevel = bone((float)returndata.bone, dweight, sex);
}
if (name == "waterrate")
{
returndata.water = GetBodyValue(name, item).ToDecimal();
//returndata.waterLevel = GetBodyValueLevel(name, item);
returndata.waterLevel = water((float)returndata.water, dweight, age, sex);
}
if (name == "musclekg")
{
returndata.muscleval = GetBodyValue(name, item).ToDecimal();
//returndata.muscleLevel = GetBodyValueLevel(name, item);
}
if (name == "proteinrate")
{
returndata.protein = GetBodyValue(name, item).ToDecimal();
returndata.proteinval = (returndata.protein * weight / 100).ToDecimal(2);
//returndata.proteinLevel = GetBodyValueLevel(name, item);
returndata.proteinLevel = protein((float)returndata.protein, dweight, age, sex);
returndata.proteinvalLevel = returndata.proteinLevel;
}
if (name == "skeletalmusclekg")
{
returndata.SkeletalMuscle = GetBodyValue(name, item).ToDecimal();
returndata.SkeletalMuscleLevel = GetBodyValueLevel(name, item);
}
if (name == "bodyfatsubcutrate")
{
returndata.sfr = GetBodyValue(name, item).ToDecimal();
//returndata.sfrLevel = GetBodyValueLevel(name, item);
returndata.sfrLevel = sfr((float)returndata.sfr, dweight, age, sex);
}
if (name == "bmr")
{
returndata.kcal = GetBodyValue(name, item).ToDecimal();
//returndata.kcalLevel = GetBodyValueLevel(name, item);
returndata.kcalLevel = kcal((float)returndata.kcal, dweight, age, sex);
}
if (name == "vfal")
{
returndata.visceral = GetBodyValue(name, item).ToDecimal();
//returndata.visceralLevel = GetBodyValueLevel(name, item);
returndata.visceralLevel = visceral((float)returndata.visceral, dweight, age, sex);
}
if (name == "bodyage")
returndata.bodyage = GetBodyValue(name, item).ToInt();
if (name == "bodyscore")
returndata.cmi = GetBodyValue(name, item).ToDecimal();
if (name == "bodytype")
{
returndata.body = GetBodyValue(name, item);
returndata.bodylevel = returndata.body;
}
if (name == "idealweightkg")
returndata.idealweight = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkg")
returndata.fat_w = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatfreemasskg")
returndata.lbm = GetBodyValue(name, item).ToDecimal();
if (name == "musclerate")
{
returndata.muscle = GetBodyValue(name, item).ToDecimal();
returndata.muscleLevel = muscle((float)returndata.muscle, (double)weight, age, sex);
returndata.musulevalLevel = returndata.muscleLevel;
}
if (name == "bodyfatsubcutkg")
returndata.sfrval = GetBodyValue(name, item).ToDecimal();
if (name == "muscleratetrunk")
returndata.muscleratetrunk = GetBodyValue(name, item).ToDecimal();
if (name == "musclerateleftleg")
returndata.musclerateleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "muscleraterightleg")
returndata.muscleraterightleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclerateleftarm")
returndata.musclerateleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "muscleraterightarm")
returndata.muscleraterightarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatratetrunk")
returndata.bodyfatraterunk = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatrateleftleg")
returndata.bodyfatrateleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatraterightleg")
returndata.bodyfatraterightleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatrateleftarm")
returndata.bodyfatrateleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatraterightarm")
returndata.bodyfatraterightarm = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgtrunk")
returndata.musclekgtrunk = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgleftleg")
returndata.musclekgleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgrightleg")
returndata.musclekgrightleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgleftarm")
returndata.musclekgleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgrightarm")
returndata.musclekgrightarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgtrunk")
returndata.bodyfatkgtrunk = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgleftleg")
returndata.bodyfatkgleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgrightleg")
returndata.bodyfatkgrightleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgleftarm")
returndata.bodyfatkgleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgrightarm")
returndata.bodyfatkgrightarm = GetBodyValue(name, item).ToDecimal();
}
//returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
//returndata.muscleLevel = muscle(returndata.muscle.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.fat_rLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
//returndata.fat_wLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
//returndata.waterLevel = water(returndata.water.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.proteinLevel = protein(returndata.protein.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.boneLevel = bone(returndata.bone.ToFloat(), returndata.weight.ToFloat(), sex);
returndata.bodyageLevel = bodyage(returndata.bodyage.ToInt(), age);
//returndata.kcalLevel = kcal(returndata.kcal.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.visceralLevel = visceral(returndata.visceral.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.sfrLevel = sfr(returndata.sfr.ToFloat(), returndata.weight.ToFloat(), age, sex, height.ToInt());
var level = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(level.ToDouble());
return returndata;
}
}
else
{
//记录日志
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}", 3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
}
public async Task<object> CalcBody120Async(decimal weight, decimal height, int age, GenderType sex, decimal lefthand, decimal righthand, decimal leftfoot, decimal rightfoot, decimal body)
{
if (weight == 0)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = 0,
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
if (height == 0)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = 0,
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = returndata.idealweight == 0 ? 0 : (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
var mheight = height / 100;
//阻抗测量失败
if (body <= 0 || body == 4294967295)
{
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = CalcStandWeight(height, sex),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
//算法使用的是0-男,1-女
string sexval = sex == GenderType.FeMale ? "0" : "1";
var requestdata = new HetaiBodyRequestS2SDto
{
age = age.ToString(),
heightCm = height.ToString(),
peopleType = "0",
sex = sexval,
weightKg = weight.ToString(),
zLeftBodyEnCode = body.ToInt().ToString(),
zLeftArmEnCode = lefthand.ToInt().ToString(),
zLeftLegEnCode = leftfoot.ToInt().ToString(),
zRightArmEnCode = righthand.ToInt().ToString(),
zRightLegEnCode = rightfoot.ToInt().ToString()
};
//Console.WriteLine(requestdata.ToJson());
var hashtable = HashTableHelper.Object2Hashtable(requestdata);
var strA = Common.SortRequestParam(hashtable);
var accessSecret = RequestaccessSecret;
var accessKey = RequestaccessKey;
var timestamp = Common.GetTimestamps();
strA = $"{strA}&timestamp={timestamp}&accessSecret={accessSecret}";
var sign = Md5.md5(strA, 32).ToUpper();
var url = RequestUrl;
var loggerService = App.GetService<ILoggerService>();
string errmsg = String.Empty;
var response = await _http.PostBodyAsync(requestdata, accessKey, timestamp, sign, (res, erros) =>
{
errmsg = erros;
});
if (!string.IsNullOrEmpty(errmsg))
{
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{errmsg}", 3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
var returnstr = await response.Content.ReadAsStringAsync();
if (response.IsSuccessStatusCode)
{
var codedata = returnstr.ToObject<BodyReponseInfo>();
if (codedata.code != 1000)
{
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}", 3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
else
{
var responsedata = returnstr.ToObject<BodyReponseInfo<BodyResponseData>>();
var returndata = new UserMeasureDto()
{
weight = weight,
height = height
};
double dweight = weight.ToDouble();
foreach (var item in responsedata.data)
{
var name = item.name.ToLower();
if (name == "bmi")
{
returndata.bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1);
returndata.bmiLevel = GetBodyValueLevel(name, item);
returndata.bmiLevel = returndata.bmiLevel == "标准" ? "正常" : returndata.bmiLevel;
}
if (name == "bodyfatrate")
{
returndata.fat_r = GetBodyValue(name, item).ToDecimal();
//returndata.fat_rLevel = GetBodyValueLevel(name, item);
returndata.fat_rLevel = Fat_r((float)returndata.fat_r, sex, age);
returndata.fat_wLevel = returndata.fat_rLevel;
}
if (name == "bonekg")
{
returndata.bone = GetBodyValue(name, item).ToDecimal();
//returndata.boneLevel = GetBodyValueLevel(name, item);
returndata.boneLevel = bone((float)returndata.bone, dweight, sex);
}
if (name == "waterrate")
{
returndata.water = GetBodyValue(name, item).ToDecimal();
//returndata.waterLevel = GetBodyValueLevel(name, item);
returndata.waterLevel = water((float)returndata.water, dweight, age, sex);
}
if (name == "musclekg")
{
returndata.muscleval = GetBodyValue(name, item).ToDecimal();
//returndata.muscleLevel = GetBodyValueLevel(name, item);
}
if (name == "proteinrate")
{
returndata.protein = GetBodyValue(name, item).ToDecimal();
returndata.proteinval = (returndata.protein * weight / 100).ToDecimal(2);
//returndata.proteinLevel = GetBodyValueLevel(name, item);
returndata.proteinLevel = protein((float)returndata.protein, dweight, age, sex);
returndata.proteinvalLevel = returndata.proteinLevel;
}
if (name == "skeletalmusclekg")
{
returndata.SkeletalMuscle = GetBodyValue(name, item).ToDecimal();
returndata.SkeletalMuscleLevel = GetBodyValueLevel(name, item);
}
if (name == "bodyfatsubcutrate")
{
returndata.sfr = GetBodyValue(name, item).ToDecimal();
//returndata.sfrLevel = GetBodyValueLevel(name, item);
returndata.sfrLevel = sfr((float)returndata.sfr, dweight, age, sex);
}
if (name == "bmr")
{
returndata.kcal = GetBodyValue(name, item).ToDecimal();
//returndata.kcalLevel = GetBodyValueLevel(name, item);
returndata.kcalLevel = kcal((float)returndata.kcal, dweight, age, sex);
}
if (name == "vfal")
{
returndata.visceral = GetBodyValue(name, item).ToDecimal();
//returndata.visceralLevel = GetBodyValueLevel(name, item);
returndata.visceralLevel = visceral((float)returndata.visceral, dweight, age, sex);
}
if (name == "bodyage")
returndata.bodyage = GetBodyValue(name, item).ToInt();
if (name == "bodyscore")
returndata.cmi = GetBodyValue(name, item).ToDecimal();
if (name == "bodytype")
{
returndata.body = GetBodyValue(name, item);
returndata.bodylevel = returndata.body;
}
if (name == "idealweightkg")
returndata.idealweight = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkg")
returndata.fat_w = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatfreemasskg")
returndata.lbm = GetBodyValue(name, item).ToDecimal();
if (name == "musclerate")
{
returndata.muscle = GetBodyValue(name, item).ToDecimal();
returndata.muscleLevel = muscle((float)returndata.muscle, (double)weight, age, sex);
returndata.musulevalLevel = returndata.muscleLevel;
}
if (name == "bodyfatsubcutkg")
returndata.sfrval = GetBodyValue(name, item).ToDecimal();
if (name == "muscleratetrunk")
returndata.muscleratetrunk = GetBodyValue(name, item).ToDecimal();
if (name == "musclerateleftleg")
returndata.musclerateleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "muscleraterightleg")
returndata.muscleraterightleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclerateleftarm")
returndata.musclerateleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "muscleraterightarm")
returndata.muscleraterightarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatratetrunk")
returndata.bodyfatraterunk = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatrateleftleg")
returndata.bodyfatrateleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatraterightleg")
returndata.bodyfatraterightleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatrateleftarm")
returndata.bodyfatrateleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatraterightarm")
returndata.bodyfatraterightarm = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgtrunk")
returndata.musclekgtrunk = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgleftleg")
returndata.musclekgleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgrightleg")
returndata.musclekgrightleg = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgleftarm")
returndata.musclekgleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "musclekgrightarm")
returndata.musclekgrightarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgtrunk")
returndata.bodyfatkgtrunk = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgleftleg")
returndata.bodyfatkgleftleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgrightleg")
returndata.bodyfatkgrightleg = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgleftarm")
returndata.bodyfatkgleftarm = GetBodyValue(name, item).ToDecimal();
if (name == "bodyfatkgrightarm")
returndata.bodyfatkgrightarm = GetBodyValue(name, item).ToDecimal();
}
//returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
//returndata.muscleLevel = muscle(returndata.muscle.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.fat_rLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
//returndata.fat_wLevel = Fat_r(returndata.fat_r.ToFloat(), sex, age);
//returndata.waterLevel = water(returndata.water.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.proteinLevel = protein(returndata.protein.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.boneLevel = bone(returndata.bone.ToFloat(), returndata.weight.ToFloat(), sex);
returndata.bodyageLevel = bodyage(returndata.bodyage.ToInt(), age);
//returndata.kcalLevel = kcal(returndata.kcal.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.visceralLevel = visceral(returndata.visceral.ToFloat(), returndata.weight.ToFloat(), age, sex);
//returndata.sfrLevel = sfr(returndata.sfr.ToFloat(), returndata.weight.ToFloat(), age, sex, height.ToInt());
var level = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(level.ToDouble());
return returndata;
}
}
else
{
//记录日志
loggerService.AddLogger($"八电极算法请求失败,参数:{requestdata.ToJson()},错误信息:{returnstr}", 3);
var returndata = new UserMeasureDto
{
weight = weight,
bmi = (((weight / (mheight * mheight)) * 10.0m) / 10.0m).ToDecimal(1),
idealweight = standweight(height.ToInt(), sex).ToDecimal(2),
height = height
};
returndata.bmiLevel = bmi(returndata.bmi.ToFloat());
returndata.cmi = score(returndata.bmi.ToFloat()).ToDecimal(1);
decimal levels = (weight - returndata.idealweight) / returndata.idealweight;
returndata.fatLevel = fatlevel(levels.ToDouble());
return returndata;
}
}
/// <summary>
/// 肥胖等级
/// </summary>
/// <param name="level">level=(体重-标准体重)/标准体重</param>
/// <returns></returns>
public string fatlevel(double level)
=> level switch
{
//_ when level == 0 => NewLevelModel.Error,
_ when level < -0.2 => NewLevelModel.weightnotenu,
_ when level >= -0.2 && level < -0.1 => NewLevelModel.thin,
_ when level >= -0.1 && level <= 0.1 => NewLevelModel.normal,
_ when level > 0.1 && level <= 0.2 => NewLevelModel.weight,
_ when level > 0.2 => NewLevelModel.mweight,
_ => NewLevelModel.weightnotenu
};
/// <summary>
/// 标准体重
/// </summary>
/// <param name="height"></param>
/// <param name="sex">性别,1-男,2-女</param>
/// <returns></returns>
public double standweight(int height, GenderType sex)
=> (height, sex) switch
{
_ when sex == GenderType.Male => (height - 80) * 0.7,
_ => (height - 70) * 0.6
};
/// <summary>
/// 标准体重计算
/// </summary>
/// <param name="height">身高,厘米</param>
/// <param name="sex">性别,1-男,2-女</param>
/// <returns></returns>
public decimal CalcStandWeight(decimal height, GenderType sex)
{
decimal standheight = 0;
if (sex == GenderType.Male)
{
standheight = (height - 80.0m) * 0.7m;
}
else
{
standheight = (height - 70.0m) * 0.6m;
}
return standheight < 0 ? 0 : standheight.ToDecimal(1);
}
/// <summary>
/// 根据等级获取标准颜色
/// </summary>
/// <param name="level"></param>
/// <returns></returns>
public string GetLevelColor(string level)
=> level switch
{
BMILevel.Thin or NewLevelModel.thin or NewLevelModel.notenu or NewLevelModel.flat or HeightLevel.LittleLow or WeightLevel.LittleLow => LevelColor.Thin,
BMILevel.Normal or NewLevelModel.normal or NewLevelModel.reach or HeightLevel.Normal or WeightLevel.Normal => LevelColor.Normal,
BMILevel.OverWeight or NewLevelModel.fat or NewLevelModel.high or NewLevelModel.alert or HeightLevel.Low or WeightLevel.Height => LevelColor.OverWeight,
NewLevelModel.fine or HeightLevel.Height => LevelColor.Fine,
BMILevel.Fat or NewLevelModel.mfat or NewLevelModel.danger or HeightLevel.MoreLow => LevelColor.Fat,
_ => LevelColor.Error
};
/// <summary>
/// 计算算法
/// </summary>
/// <param name="weight"></param>
/// <param name="height"></param>
/// <param name="age"></param>
/// <param name="adc"></param>
/// <param name="sex"></param>
/// <returns></returns>
/// <summary>
/// BMI标准的范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public MeasureInfoItemValue bmi_stand(GenderType sex, int age)
{
return bmi_value(sex, age).Skip(1).Take(1).FirstOrDefault();
}
/// <summary>
/// 成人bmi范围标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> bmi_value(GenderType sex, int age)
{
var list = new List<MeasureInfoItemValue>();
list.Add(new MeasureInfoItemValue
{
maxvalue = 18.5m,
minvalue = 0,
text = BMILevelConst.Thin,
color = LevelColor.Thin
});
list.Add(new MeasureInfoItemValue
{
maxvalue = 25,
minvalue = 18.5m,
text = BMILevelConst.Normal,
color = LevelColor.Normal
});
list.Add(new MeasureInfoItemValue
{
maxvalue = 30,
minvalue = 25,
text = BMILevelConst.OverWeight,
color = LevelColor.OverWeight
});
list.Add(new MeasureInfoItemValue
{
maxvalue = 50,
minvalue = 30,
text = BMILevelConst.Fat,
color = LevelColor.Fat
});
return list;
}
/// <summary>
/// 肌肉量标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight"></param>
/// <returns></returns>
public MeasureInfoItemValue muscleval_stand(GenderType sex, int age, decimal weight)
{
return muscleval_value(sex, age, weight).Skip(1).Take(1).FirstOrDefault();
}
/// <summary>
/// 肌肉重量标准范围
/// </summary>
/// <param name="sex">性别</param>
/// <param name="age">年龄</param>
/// <param name="weight">重量,kg</param>
/// <returns></returns>
public List<MeasureInfoItemValue> muscleval_value(GenderType sex, int age, decimal weight)
{
var list = new List<MeasureInfoItemValue>();
var values = muscle_value(sex, age);
values.ForEach(x =>
{
list.Add(new MeasureInfoItemValue
{
maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
text = x.text,
color = x.color
});
});
return list;
}
/// <summary>
/// 脂肪重量标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight"></param>
/// <returns></returns>
public MeasureInfoItemValue fat_w_stand(GenderType sex, int age, decimal weight)
{
return fat_w_value(sex, age, weight).Skip(1).Take(1).FirstOrDefault();
}
/// <summary>
/// 脂肪重量标准范围
/// </summary>
/// <param name="sex">性别</param>
/// <param name="age">年龄</param>
/// <param name="weight">重量,kg</param>
/// <returns></returns>
public List<MeasureInfoItemValue> fat_w_value(GenderType sex, int age, decimal weight)
{
var list = new List<MeasureInfoItemValue>();
var values = fa_r_value(sex, age);
values.ForEach(x =>
{
list.Add(new MeasureInfoItemValue
{
maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
text = x.text,
color = x.color
});
});
return list;
}
/// <summary>
/// 脂肪率/体脂率标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public MeasureInfoItemValue fat_r_stand(GenderType sex, int age)
{
return fa_r_value(sex, age).Skip(1).Take(1).FirstOrDefault();
}
/// <summary>
/// 脂肪率/体脂率范围标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> fa_r_value(GenderType sex, int age)
=> (sex, age) switch
{
_ when sex == GenderType.Male && age < 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=10,
minvalue=0,
text = NewLevelModel.flat,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=21,
minvalue=10,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=26,
minvalue=21,
text = NewLevelModel.high,
color = LevelColor.OverWeight
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=26,
text = NewLevelModel.mhigh,
color = LevelColor.Fat
}
},
_ when sex == GenderType.Male && age >= 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=11,
minvalue=0,
text = NewLevelModel.flat,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=22,
minvalue=11,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=27,
minvalue=22,
text = NewLevelModel.high,
color = LevelColor.OverWeight
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=27,
text = NewLevelModel.mhigh,
color = LevelColor.Fat
}
},
_ when sex == GenderType.FeMale && age < 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=20,
minvalue=0,
text = NewLevelModel.flat,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=31,
minvalue=20,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=38,
minvalue=31,
text = NewLevelModel.high,
color = LevelColor.OverWeight
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=38,
text = NewLevelModel.mhigh,
color = LevelColor.Fat
}
},
_ when sex == GenderType.FeMale && age >= 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=21,
minvalue=0,
text = NewLevelModel.flat,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=32,
minvalue=21,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=39,
minvalue=32,
text = NewLevelModel.high,
color = LevelColor.OverWeight
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=39,
text = NewLevelModel.mhigh,
color = LevelColor.Fat
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 肌肉率范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> muscle_value(GenderType sex, int age)
=> (sex, age) switch
{
_ when sex == GenderType.Male => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=40,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=60,
minvalue=40,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=80,
minvalue=60,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=30,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=30,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=80,
minvalue=50,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 水份范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> water_value(GenderType sex, int age)
=> (sex, age) switch
{
_ when sex == GenderType.Male => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=55,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=65,
minvalue=55,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=80,
minvalue=65,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=45,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=60,
minvalue=45,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=80,
minvalue=60,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 骨骼肌量范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> skeletalmusclekg(GenderType sex, int age)
{
return new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=20,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=35,
minvalue=20,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=50,
minvalue=35,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
};
}
/// <summary>
/// 骨量范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight">体重</param>
/// <returns></returns>
public List<MeasureInfoItemValue> bone_value(GenderType sex, int age, decimal weight)
=> (sex, age, weight) switch
{
_ when sex == GenderType.Male && weight < 60 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=2.4m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=2.6m,
minvalue=2.4m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=2.6m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.Male && weight < 75 && weight >= 60 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=2.8m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=3.0m,
minvalue=2.8m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=3.0m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.Male && weight >= 75 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=3.1m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=3.3m,
minvalue=3.1m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=3.3m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale && weight < 45 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=1.7m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=1.9m,
minvalue=1.7m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=1.9m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale && weight < 60 && weight >= 45 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=2.1m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=2.3m,
minvalue=2.1m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=2.3m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale && weight >= 60 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
maxvalue=2.4m,
minvalue=0,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
maxvalue=2.6m,
minvalue=2.4m,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
maxvalue=5,
minvalue=2.6m,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 基础代谢范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> kcal_value(GenderType sex, int age, decimal weight)
=> (sex, age, weight) switch
{
_ when sex == GenderType.Male && age < 3 && age > 0 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (60.9*weight.ToDouble()-54).ToDecimal(2),
maxvalue = (60.9*weight.ToDouble()-54).ToDecimal(2)
}
},
_ when sex == GenderType.Male && age < 10 && age >= 3 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (22.7*weight.ToDouble()+495).ToDecimal(2),
maxvalue = (22.7*weight.ToDouble()+495).ToDecimal(2),
}
},
_ when sex == GenderType.Male && age < 18 && age >= 10 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (17.5*weight.ToDouble()+651).ToDecimal(2),
maxvalue = (17.5*weight.ToDouble()+651).ToDecimal(2)
}
},
_ when sex == GenderType.Male && age < 30 && age >= 18 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (15.3*weight.ToDouble()+679).ToDecimal(2),
maxvalue = (15.3*weight.ToDouble()+679).ToDecimal(2)
}
},
_ when sex == GenderType.Male && age >= 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (11.6*weight.ToDouble()+879).ToDecimal(2),
maxvalue = (11.6*weight.ToDouble()+879).ToDecimal(2)
}
},
_ when sex == GenderType.FeMale && age < 3 && age > 0 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (61.0*weight.ToDouble()-51).ToDecimal(2),
maxvalue = (61.0*weight.ToDouble()-51).ToDecimal(2)
}
},
_ when sex == GenderType.FeMale && age < 10 && age >= 3 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (22.5*weight.ToDouble()+499).ToDecimal(2),
maxvalue = (22.5*weight.ToDouble()+499).ToDecimal(2),
}
},
_ when sex == GenderType.FeMale && age < 18 && age >= 10 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (12.2*weight.ToDouble()+746).ToDecimal(2),
maxvalue = (12.2*weight.ToDouble()+746).ToDecimal(2)
}
},
_ when sex == GenderType.FeMale && age < 30 && age >= 18 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (14.7*weight.ToDouble()+496).ToDecimal(2),
maxvalue = (14.7*weight.ToDouble()+496).ToDecimal(2)
}
},
_ when sex == GenderType.FeMale && age >= 30 => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue = (8.7*weight.ToDouble()+820).ToDecimal(2),
maxvalue = (8.7*weight.ToDouble()+820).ToDecimal(2)
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 内脂范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> visceral_value(GenderType sex, int age)
=> (sex, age) switch
{
_ => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=0,
maxvalue=9,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=9,
maxvalue=14,
text = NewLevelModel.alert,
color = LevelColor.OverWeight
},
new MeasureInfoItemValue
{
minvalue=14,
maxvalue=20,
text = NewLevelModel.danger,
color = LevelColor.Fat
}
}
};
/// <summary>
/// 蛋白量标准范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> proteinval_value(GenderType sex, int age, decimal weight)
{
var list = new List<MeasureInfoItemValue>();
var values = protein_value(sex, age);
values.ForEach(x =>
{
list.Add(new MeasureInfoItemValue
{
maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
text = x.text,
color = x.color
});
});
return list;
}
/// <summary>
/// 蛋白质范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> protein_value(GenderType sex, int age)
=> (sex, age) switch
{
_ when sex == GenderType.Male => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=0,
maxvalue=16,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
minvalue=16,
maxvalue=18,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=18,
maxvalue=25,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ when sex == GenderType.FeMale => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=0,
maxvalue=14,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
minvalue=14,
maxvalue=16,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=16,
maxvalue=25,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 皮下脂肪范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> sfr_value(GenderType sex, int age)
=> (sex, age) switch
{
_ when sex == GenderType.Male => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=0,
maxvalue=7,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
minvalue=7,
maxvalue=15,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=15,
maxvalue=25,
text = NewLevelModel.high,
color = LevelColor.OverWeight
}
},
_ when sex == GenderType.FeMale => new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=0,
maxvalue=11,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
minvalue=11,
maxvalue=17,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=17,
maxvalue=25,
text = NewLevelModel.high,
color = LevelColor.OverWeight
}
},
_ => new List<MeasureInfoItemValue>()
};
/// <summary>
/// 皮下脂肪量范围
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="weight"></param>
/// <returns></returns>
public List<MeasureInfoItemValue> sfrval_value(GenderType sex, int age, decimal weight)
{
var list = new List<MeasureInfoItemValue>();
var values = sfr_value(sex, age);
values.ForEach(x =>
{
list.Add(new MeasureInfoItemValue
{
maxvalue = ((x.maxvalue / 100.0m) * weight).ToDecimal(1),
minvalue = ((x.minvalue / 100.0m) * weight).ToDecimal(1),
text = x.text,
color = x.color
});
});
return list;
}
/// <summary>
/// 骨骼肌量标准
/// </summary>
/// <param name="sex"></param>
/// <param name="age"></param>
/// <param name="val">骨骼肌值</param>
/// <returns></returns>
public List<MeasureInfoItemValue> skeletalmusclekg_val(GenderType sex, int age, decimal val)
{
decimal maxval = 50;
if (val > maxval)
{
maxval = val;
}
return new List<MeasureInfoItemValue> {
new MeasureInfoItemValue
{
minvalue=1,
maxvalue=20,
text = NewLevelModel.notenu,
color = LevelColor.Thin
},
new MeasureInfoItemValue
{
minvalue=20,
maxvalue=35,
text = NewLevelModel.normal,
color = LevelColor.Normal
},
new MeasureInfoItemValue
{
minvalue=35,
maxvalue=maxval,
text = NewLevelModel.fine,
color = LevelColor.Fine
}
};
}
/// <summary>
/// 获取儿童身高范围
/// </summary>
/// <param name="sex">1-男,2-女</param>
/// <param name="month">月龄</param>
/// <returns></returns>
public List<MeasureInfoItemValue> ChildHeightStand(GenderType sex, int month)
{
return null;
}
/// <summary>
/// 获取儿童体重范围
/// </summary>
/// <param name="sex">1-男,2-女</param>
/// <param name="month">月龄</param>
/// <returns></returns>
public List<MeasureInfoItemValue> ChildWeightStand(GenderType sex, int month)
{
return null;
}
/// <summary>
/// 品传2/4电极计算体脂
/// </summary>
/// <param name="weight">体重,单位为kg</param>
/// <param name="height">身高,单位为厘米</param>
/// <param name="age">年龄</param>
/// <param name="adc">阻抗</param>
/// <param name="sex">性别,1-男，2-女,0-未知</param>
/// <returns></returns>
public UserMeasureModel PCCalcBodyFat(double weight, double height, int age, int adc, GenderType sex)
{
adc = Adc(weight, height);
//算法使用的性别为1-男,2-女
int sexval = sex == GenderType.FeMale ? 2 : 1;
int IntHeight = height.ToInt();
var result = _healthcalcService.GetBodyFatResultsV3(new Hinse.Health.BodyCalcData24
{
Adc = adc,
Age = age,
Gender = sexval,
Height = IntHeight,
Weight = weight
});
decimal dwegiht = weight.ToDecimal();
var data = new UserMeasureModel
{
bmi = result.bmi.ToDecimal(2),
bmiLevel = bmi(result.bmi.ToFloat()),
fat_r = result.bfr.ToDecimal(2),
fat_rLevel = Fat_r(result.bfr.ToFloat(), sex, age),
bodyage = result.bodyage,
bodyageLevel = bodyage(result.bodyage, age),
fat_w = result.bfrval.ToDecimal(2),
fat_wLevel = Fat_r(result.bfr.ToFloat(), sex, age),
bone = result.bm.ToDecimal(2),
boneLevel = bone(result.bm.ToFloat(), weight, sex),
kcal = result.bmr.ToDecimal() < 0 ? 0 : result.bmr.ToDecimal(2),
kcalLevel = kcal(result.bmr.ToFloat(), weight, age, sex),
muscle = result.rom.ToDecimal(2),
muscleLevel = muscle(result.rom.ToFloat(), weight, age, sex),
protein = result.pp.ToDecimal(2),
proteinLevel = protein(result.pp.ToFloat(), weight, age, sex),
visceral = result.uvi.ToDecimal(2),
visceralLevel = visceral(result.uvi.ToFloat(), weight, age, sex),
water = result.vwc.ToDecimal(3),
waterLevel = water(result.vwc.ToFloat(), weight, age, sex),
cmi = score(result.bmi.ToFloat()).ToDecimal(1),
muscleval = result.romval.ToDecimal(2),
proteinval = result.ppval.ToDecimal(3),
lbm = result.lbm.ToDecimal(2),
standardWeight = standweight(IntHeight, sex).ToString("f2"),
sfr = result.sfr.ToDecimal(2),
sfrLevel = sfr(result.sfr.ToFloat(), weight, age, sex),
body = "0",
standardfat_r = fa_r_value(sex, age).ToJson(),
standardbmi = bmi_value(sex, age).ToJson(),
standardmuscle = muscle_value(sex, age).ToJson(),
standardmuscleval = muscleval_value(sex, age, dwegiht).ToJson(),
standardwater = water_value(sex, age).ToJson(),
standardbone = bone_value(sex, age, dwegiht).ToJson(),
standardkcal = kcal_value(sex, age, dwegiht).ToJson(),
standardfat_w = fat_w_value(sex, age, dwegiht).ToJson(),
standardviscera = visceral_value(sex, age).ToJson(),
standardprotein = protein_value(sex, age).ToJson(),
standardproteinval = proteinval_value(sex, age, dwegiht).ToJson(),
standardbodyage = "",
standardsfr = sfr_value(sex, age).ToJson(),
weight = weight.ToDecimal(2),
height = height.ToDecimal(2),
skeletalmuscle = 0
};
data.bodylevel = body(data.fat_rLevel, data.muscleLevel);
data.musulevalLevel = data.muscleLevel;
data.proteinvalLevel = data.proteinLevel;
double level = (weight - data.standardWeight.ToDouble()) / data.standardWeight.ToDouble();
data.fatLevel = fatlevel(level);
data.fatlevlval = level.ToString("f2");
return data;
}
/// <summary>
/// 获取八电极每项值
/// </summary>
/// <param name="name"></param>
/// <param name="data"></param>
/// <returns></returns>
private static string GetBodyValue(string name, BodyResponseData data)
=> (name, data) switch
{
_ when name == "exerciseplanner" => data.value == null ? "" : data.value.ToString(), //训练计划
_ => data.value == null ? "" : data.value.ToString()
};
/// <summary>
/// 获取八电极每项值的标准
/// </summary>
/// <param name="name"></param>
/// <param name="data"></param>
/// <returns></returns>
private static string GetBodyValueLevel(string name, BodyResponseData data)
=> (name, data) switch
{
_ when name == "exerciseplanner" => "", //训练计划
_ => data.level.value.ToString().Length == 1 ? $"偏{data.level.value}" : data.level.value.ToString()
};
/// <summary>
/// TODO:动态生成阻抗值,按照每变0.1BMI变化1.6阻抗值，20230321
/// </summary>
/// <param name="weight">体重,kg</param>
/// <param name="height">身高,cm</param>
/// <returns></returns>
private int Adc(double weight, double height)
{
var mheight = height / 100.0;
var bmi = (weight / (mheight * mheight) * 10.0) / 10.0;
double standval = 500; //基础变量
double val = 550; //标准阻抗
if (bmi < 18.5)
{
//每减少1点BMI值,则阻抗 550-n*10
val = standval - (18.5 - bmi) * 10.0;
val = val < 450 ? 450 : val;
}
if (bmi >= 24 && bmi < 28)
{
//每增加1点BMI值,则阻抗 550+n*23
val = standval + (bmi - 24) * 30.0;
}
if (bmi >= 28)
{
//每增加1点BMI值,则阻抗 550+n*43
val = standval + (bmi - 24) * 53.0;
val = val > 1000 ? 1000 : val;
}
return val.ToInt();
}
/// <summary>
/// BMI指标标准
/// </summary>
public class BMILevel
{
/// <summary>
/// 异常
/// </summary>
public const string Error = "异常";
/// <summary>
/// 消瘦
/// </summary>
public const string Thin = "偏瘦";
/// <summary>
/// 正常
/// </summary>
public const string Normal = "正常";
/// <summary>
/// 超重
/// </summary>
public const string OverWeight = "超重";
/// <summary>
/// 肥胖
/// </summary>
public const string Fat = "肥胖";
}
/// <summary>
/// 身高标准
/// </summary>
public class HeightLevel
{
/// <summary>
/// 异常
/// </summary>
public const string Error = "异常";
/// <summary>
/// 严重偏矮
/// </summary>
public const string MoreLow = "严重偏矮";
/// <summary>
/// 矮
/// </summary>
public const string Low = "矮";
/// <summary>
/// 偏矮
/// </summary>
public const string LittleLow = "偏矮";
/// <summary>
/// 正常
/// </summary>
public const string Normal = "正常";
/// <summary>
/// 高
/// </summary>
public const string Height = "高";
}
/// <summary>
/// 体重标准
/// </summary>
public class WeightLevel
{
/// <summary>
/// 异常
/// </summary>
public const string Error = "异常";
/// <summary>
/// 偏低
/// </summary>
public const string LittleLow = "偏低";
/// <summary>
/// 正常
/// </summary>
public const string Normal = "正常";
/// <summary>
/// 偏高
/// </summary>
public const string Height = "偏高";
}
/// <summary>
/// 算法返回结果定义
/// </summary>
public class BodyfatItem
{
/// <summary>
/// bmi
/// </summary>
public string bmi;
/// <summary>
/// 骨量
/// </summary>
public string bm;
/// <summary>
/// 肌肉率
/// </summary>
public string rom;
/// <summary>
/// 水分
/// </summary>
public string moi;
/// <summary>
/// 脂肪率
/// </summary>
public string bfr;
/// <summary>
/// 皮下脂肪率
/// </summary>
public string sfr;
/// <summary>
/// 骨骼肌率
/// </summary>
public string rosm;
/// <summary>
/// 蛋白率
/// </summary>
public string pp;
/// <summary>
/// 内脏脂肪指数
/// </summary>
public string uvi;
/// <summary>
/// 基础代谢率
/// </summary>
public string bmr;
/// <summary>
/// 身体年龄
/// </summary>
public string physicAge;
/// <summary>
/// 体重
/// </summary>
public double weight;
/// <summary>
/// 身高
/// </summary>
public double height;
/// <summary>
/// 年龄
/// </summary>
public int age;
/// <summary>
/// 阻抗
/// </summary>
public int adc;
/// <summary>
/// 性别,0-女,1-男
/// </summary>
public int sex;
}
/// <summary>
/// 盛群八电极算法返回的结果
/// </summary>
public class HTBodyFatReturnData : HTBodyFatReturnItem
{
/// <summary>
/// 返回状态 GetBodyFatOk(所有参数有效)
/// UserZTwoLegsError/UserAgeError/UserGenderError(除BMI及李想体重外都无效)(除BMI及理想体重外都无效)
/// UserWeightError/UserHeightError(所有参数无效)
/// </summary>
public string ErrorType { get; set; }
/// <summary>
/// 体脂算法版本号,两位小数
/// </summary>
public decimal VersionNumber { get; set; }
/// <summary>
/// 更新信息
/// </summary>
public string UpdateInfo { get; set; } = "";
/// <summary>
/// 脚对脚阻抗值,范围200.0-1200.0
/// </summary>
public decimal ZTwoLegs { get; set; }
}
/// <summary>
/// 盛群八电极算法返回的测量结果
/// </summary>
public class HTBodyFatReturnItem
{
/// <summary>
/// 理想体重,若体重或身高参数有误,则返回0
/// </summary>
public decimal IdealWeightKg { get; set; }
/// <summary>
/// 人体质量指数,分辨率0.1，范围10.0-90.0
/// </summary>
public decimal BMI { get; set; }
/// <summary>
/// 人体质量标准,有三个uansu,分别对应,瘦-普通,普通-偏胖,偏胖-肥胖的分界值
/// </summary>
public List<decimal> BMIRatingList { get; set; }
/// <summary>
/// 基础代谢,分辨率1,范围500-10000
/// </summary>
public int BMR { get; set; }
/// <summary>
/// 基础代谢健康标准,需先调用BMR()，一个元素，对应"偏低－达标"的分界值
/// </summary>
public List<int> BMRRatingList { get; set; }
/// <summary>
/// 脂肪率(%), 分辨率0.1, 范围5.0% ~ 75.0%
/// </summary>
public decimal BodyfatPercentage { get; set; }
/// <summary>
/// 脂肪率健康标准，需先调用BodyfatPercentage()，返回的数组有四个元素，对应"偏瘦－标准"、“标准－警惕”、“警惕－偏胖”、“偏胖－肥胖”的分界值
/// </summary>
public List<decimal> BodyfatRatingList { get; set; }
/// <summary>
/// 骨量(kg), 分辨率0.1, 范围0.5 ~ 8.0
/// </summary>
public decimal BoneKg { get; set; }
/// <summary>
/// 骨量等级标准,需先调用BoneKg()，两个元素，对应"不足－标准"、“标准－优秀”的分界值
/// </summary>
public List<decimal> BoneRatingList { get; set; }
/// <summary>
/// 肌肉量(kg), 分辨率0.1, 范围10.0 ~ 120.0
/// </summary>
public decimal Muscle { get; set; }
/// <summary>
/// 肌肉量健康标准，需先调用Muscle()，两个元素，对应"不足－标准"、“标准－优秀”的分界值
/// </summary>
public List<decimal> MuscleRatingList { get; set; }
/// <summary>
/// 内脏脂肪, 分辨率1, 范围1 ~ 6
/// </summary>
public int VFAL { get; set; }
/// <summary>
/// 内脏脂肪等级标准,两个元素，对应"标准-警惕"、"警惕-危险"的分界值
/// </summary>
public List<int> VFALRatingList { get; set; }
/// <summary>
/// 水分率(%), 分辨率0.1, 范围35.0% ~ 75.0%
/// </summary>
public decimal WaterPercentage { get; set; }
/// <summary>
/// 水分率健康标准，两个元素，对应"不足－标准"、“标准－优秀”
/// </summary>
public List<decimal> WaterRatingList { get; set; }
/// <summary>
/// 体龄
/// </summary>
public int BodyAge { get; set; }
/// <summary>
/// ProteinPercentage
/// </summary>
public decimal ProteinPercentage { get; set; }
/// <summary>
/// 蛋白质健康标准，两个元素，对应"不足－标准"、“标准－优秀”
/// </summary>
public List<decimal> ProteinRatingList { get; set; }
}
}
}
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