基于qualcomm平台实现心率变化的检测功能
一.前言：随着人均寿命的延长、出生率的下降和人们对健康的关注，现代社会人们需要更好的 医疗系统。这样，远程医疗、电子医疗（e-health）就显得非常急需。借助于物联网/云计算 技术、人工智能的专家系统、嵌入式系统的智能化设备，可以构建起完美的物联网医疗体系，使全民平等地享受顶级的医疗服务，解决或减少由于医疗资源缺乏，导致看病难、医 患关系紧张、事故频发等现象。智能医疗结合无线网技术、条码
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一.前言：
随着人均寿命的延长、出生率的下降和人们对健康的关注，现代社会人们需要更好的 医疗系统。这样，远程医疗、电子医疗（e-health）就显得非常急需。借助于物联网/云计算 技术、人工智能的专家系统、嵌入式系统的智能化设备，可以构建起完美的物联网医疗体系，使全民平等地享受顶级的医疗服务，解决或减少由于医疗资源缺乏，导致看病难、医 患关系紧张、事故频发等现象。
智能医疗结合无线网技术、条码RFID、物联网技术、移动计算技术、数据融合技术等，将进一步提升医疗诊疗流程的服务效率和服务质量，提升医院综合管理水平，实现监护工作无线化，全面改变和解决现代化数字医疗模式、智能医疗及健康管理、医院信息系统等的问题和困难，并大幅度提体现医疗资源高度共享，降低公众医疗成本。通过电子医疗和RFID物联网技术能够使大量的医疗监护的工作实施无线化，而远程医疗和自助医疗，信息及时采集和高度共享，可缓解资源短缺、资源分配不均的窘境，降低公众的医疗成本。博主今天要给大家介绍怎么简单地基于Qualcomm平台去实现心率变化的检测功能。
二.原理：
人体的的心率变化是能通过人体自身指针的毛细血管的周期性的博动反馈出来的，而毛细血管的博动是能通过感光元件清晰地捕捉到的。目前大家最常见的感光元件就是摄像头，换言之，传感器部分我们只需要闪光灯与摄像头，就有条件实现最基本的心率检测功能。实现过程如下：当打开软件时，手机的闪光灯也会被自动打开，用户将手指放在摄像头上时，指尖皮下血管由于有血液被压入，被光源照射的手指亮度（红色的深度）会有轻微的变化。这个过程可以凭借感光元件捕捉到。这样毛细血管的搏动就能通过画面明度的周期性变化反映出来，从而绘制出一幅人体心率周期性的变化图。
三.核心code：
1.主Activity:MainActivity
package com.example.xinlv;
import java.util.Timer;
import java.util.TimerTask;
import java.util.concurrent.atomic.AtomicBoolean;
import org.achartengine.ChartFactory;
import org.achartengine.GraphicalView;
import org.achartengine.chart.PointStyle;
import org.achartengine.model.XYMultipleSeriesDataset;
import org.achartengine.model.XYSeries;
import org.achartengine.renderer.XYMultipleSeriesRenderer;
import org.achartengine.renderer.XYSeriesRenderer;
import com.jwetherell.heart_rate_monitor.ImageProcessing;
import android.os.Bundle;
import android.os.Handler;
import android.os.Message;
import android.os.PowerManager;
import android.os.PowerManager.WakeLock;
import android.app.Activity;
import android.content.Context;
import android.content.res.Configuration;
import android.graphics.Color;
import android.graphics.Paint.Align;
import android.hardware.Camera;
import android.hardware.Camera.PreviewCallback;
import android.util.Log;
import android.view.SurfaceHolder;
import android.view.SurfaceView;
import android.view.ViewGroup.LayoutParams;
import android.widget.LinearLayout;
import android.widget.Toast;
//import android.view.View;
import android.widget.TextView;
public class MainActivity extends Activity {
// 曲线
private Timer timer = new Timer();
private TimerTask task;
private static int gx;
private static int j;
private static double flag=1;
private Handler handler;
private String title = "pulse";
private XYSeries series;
private XYMultipleSeriesDataset mDataset;
private GraphicalView chart;
private XYMultipleSeriesRenderer renderer;
private Context context;
private int addX = -1;
double addY;
int[] xv = new int[300];
int[] yv = new int[300];
int[] hua=new int[]{9,10,11,12,13,14,13,12,11,10,9,8,7,6,7,8,9,10,11,10,10};
// private static final String TAG = "HeartRateMonitor";
private static final AtomicBoolean processing = new AtomicBoolean(false);
private static SurfaceView preview = null;
private static SurfaceHolder previewHolder = null;
private static Camera camera = null;
// private static View image = null;
private static TextView text = null;
private static TextView text1 = null;
private static TextView text2 = null;
private static WakeLock wakeLock = null;
private static int averageIndex = 0;
private static final int averageArraySize = 4;
private static final int[] averageArray = new int[averageArraySize];
public static enum TYPE {
GREEN, RED
};
private static TYPE currentType = TYPE.GREEN;
public static TYPE getCurrent() {
return currentType;
}
private static int beatsIndex = 0;
private static final int beatsArraySize = 3;
private static final int[] beatsArray = new int[beatsArraySize];
private static double beats = 0;
private static long startTime = 0;
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
// 曲线
context = getApplicationContext();
//这里获得main界面上的布局，下面会把图表画在这个布局里面
LinearLayout layout = (LinearLayout)findViewById(R.id.linearLayout1);
//这个类用来放置曲线上的所有点，是一个点的集合，根据这些点画出曲线
series = new XYSeries(title);
//创建一个数据集的实例，这个数据集将被用来创建图表
mDataset = new XYMultipleSeriesDataset();
//将点集添加到这个数据集中
mDataset.addSeries(series);
//以下都是曲线的样式和属性等等的设置，renderer相当于一个用来给图表做渲染的句柄
int color = Color.GREEN;
PointStyle style = PointStyle.CIRCLE;
renderer = buildRenderer(color, style, true);
//设置好图表的样式
setChartSettings(renderer, "X", "Y", 0, 300, 4, 16, Color.WHITE, Color.WHITE);
//生成图表
chart = ChartFactory.getLineChartView(context, mDataset, renderer);
//将图表添加到布局中去
layout.addView(chart, new LayoutParams(LayoutParams.FILL_PARENT, LayoutParams.FILL_PARENT));
/* thread = new Thread(){
public void arrayList(int u) {
ArrayList arrayList = new ArrayList();
arrayList.add(HardwareControler.readADC());
}
};*/
//这里的Handler实例将配合下面的Timer实例，完成定时更新图表的功能
handler = new Handler() {
@Override
public void handleMessage(Message msg) {
// 刷新图表
updateChart();
super.handleMessage(msg);
}
};
task = new TimerTask() {
@Override
public void run() {
Message message = new Message();
message.what = 1;
handler.sendMessage(message);
}
};
timer.schedule(task, 1,20); //曲线
preview = (SurfaceView) findViewById(R.id.preview);
previewHolder = preview.getHolder();
previewHolder.addCallback(surfaceCallback);
previewHolder.setType(SurfaceHolder.SURFACE_TYPE_PUSH_BUFFERS);
// image = findViewById(R.id.image);
text = (TextView) findViewById(R.id.text);
text1 = (TextView) findViewById(R.id.text1);
text2 = (TextView) findViewById(R.id.text2);
PowerManager pm = (PowerManager) getSystemService(Context.POWER_SERVICE);
wakeLock = pm.newWakeLock(PowerManager.FULL_WAKE_LOCK, "DoNotDimScreen");
}
// 曲线
@Override
public void onDestroy() {
//当结束程序时关掉Timer
timer.cancel();
super.onDestroy();
};
protected XYMultipleSeriesRenderer buildRenderer(int color, PointStyle style, boolean fill) {
XYMultipleSeriesRenderer renderer = new XYMultipleSeriesRenderer();
//设置图表中曲线本身的样式，包括颜色、点的大小以及线的粗细等
XYSeriesRenderer r = new XYSeriesRenderer();
r.setColor(Color.RED);
// r.setPointStyle(null);
// r.setFillPoints(fill);
r.setLineWidth(1);
renderer.addSeriesRenderer(r);
return renderer;
}
protected void setChartSettings(XYMultipleSeriesRenderer renderer, String xTitle, String yTitle,
double xMin, double xMax, double yMin, double yMax, int axesColor, int labelsColor) {
//有关对图表的渲染可参看api文档
renderer.setChartTitle(title);
renderer.setXTitle(xTitle);
renderer.setYTitle(yTitle);
renderer.setXAxisMin(xMin);
renderer.setXAxisMax(xMax);
renderer.setYAxisMin(yMin);
renderer.setYAxisMax(yMax);
renderer.setAxesColor(axesColor);
renderer.setLabelsColor(labelsColor);
renderer.setShowGrid(true);
renderer.setGridColor(Color.GREEN);
renderer.setXLabels(20);
renderer.setYLabels(10);
renderer.setXTitle("Time");
renderer.setYTitle("mmHg");
renderer.setYLabelsAlign(Align.RIGHT);
renderer.setPointSize((float) 3 );
renderer.setShowLegend(false);
}
private void updateChart() {
//设置好下一个需要增加的节点
// addX = 10;
//addY = (int)(Math.random() * 90 + 50);
// addY = (int)(HardwareControler.readADC());
// addY=10+addY;
// if(addY>1400)
// addY=10;
if(flag==1)
addY=10;
else{
// addY=250;
flag=1;
if(gx<200){
if(hua[20]>1){
Toast.makeText(MainActivity.this, "请用您的指尖盖住摄像头镜头！", Toast.LENGTH_SHORT).show();
hua[20]=0;}
hua[20]++;
return;}
else
hua[20]=10;
j=0;
}
if(j<20){
addY=hua[j];
j++;
}
//移除数据集中旧的点集
mDataset.removeSeries(series);
//判断当前点集中到底有多少点，因为屏幕总共只能容纳100个，所以当点数超过100时，长度永远是100
int length = series.getItemCount();
int bz=0;
// addX = length;
if (length > 300) {
length = 300;
bz=1;
}
addX = length;
//将旧的点集中x和y的数值取出来放入backup中，并且将x的值加1，造成曲线向右平移的效果
for (int i = 0; i < length; i++) {
xv[i] = (int) series.getX(i) -bz;
yv[i] = (int) series.getY(i);
}
//点集先清空，为了做成新的点集而准备
series.clear();
mDataset.addSeries(series);
//将新产生的点首先加入到点集中，然后在循环体中将坐标变换后的一系列点都重新加入到点集中
//这里可以试验一下把顺序颠倒过来是什么效果，即先运行循环体，再添加新产生的点
series.add(addX, addY);
for (int k = 0; k < length; k++) {
series.add(xv[k], yv[k]);
}
//在数据集中添加新的点集
// mDataset.addSeries(series);
//视图更新，没有这一步，曲线不会呈现动态
//如果在非UI主线程中，需要调用postInvalidate()，具体参考api
chart.invalidate();
} //曲线
@Override
public void onConfigurationChanged(Configuration newConfig) {
super.onConfigurationChanged(newConfig);
}
@Override
public void onResume() {
super.onResume();
wakeLock.acquire();
camera = Camera.open();
startTime = System.currentTimeMillis();
}
@Override
public void onPause() {
super.onPause();
wakeLock.release();
camera.setPreviewCallback(null);
camera.stopPreview();
camera.release();
camera = null;
}
private static PreviewCallback previewCallback = new PreviewCallback() {
public void onPreviewFrame(byte[] data, Camera cam) {
if (data == null)
throw new NullPointerException();
Camera.Size size = cam.getParameters().getPreviewSize();
if (size == null)
throw new NullPointerException();
if (!processing.compareAndSet(false, true))
return;
int width = size.width;
int height = size.height;
//图像处理
int imgAvg = ImageProcessing.decodeYUV420SPtoRedAvg(data.clone(),height,width);
gx=imgAvg;
text1.setText("平均像素值是"+String.valueOf(imgAvg));
//像素平均值imgAvg,日志
// Log.i(TAG, "imgAvg=" + imgAvg);
if (imgAvg == 0 || imgAvg == 255) {
processing.set(false);
return;
}
int averageArrayAvg = 0;
int averageArrayCnt = 0;
for (int i = 0; i < averageArray.length; i++) {
if (averageArray[i] > 0) {
averageArrayAvg += averageArray[i];
averageArrayCnt++;
}
}
int rollingAverage = (averageArrayCnt > 0)?(averageArrayAvg/averageArrayCnt):0;
TYPE newType = currentType;
if (imgAvg < rollingAverage) {
newType = TYPE.RED;
if (newType != currentType) {
beats++;
flag=0;
text2.setText("脉冲数是 "+String.valueOf(beats));
// Log.e(TAG, "BEAT!! beats=" + beats);
}
} else if (imgAvg > rollingAverage) {
newType = TYPE.GREEN;
}
if (averageIndex == averageArraySize)
averageIndex = 0;
averageArray[averageIndex] = imgAvg;
averageIndex++;
// Transitioned from one state to another to the same
if (newType != currentType) {
currentType = newType;
// image.postInvalidate();
}
//获取系统结束时间（ms）
long endTime = System.currentTimeMillis();
double totalTimeInSecs = (endTime - startTime) / 1000d;
if (totalTimeInSecs >= 2) {
double bps = (beats / totalTimeInSecs);
int dpm = (int) (bps * 60d);
if (dpm < 30 || dpm > 180||imgAvg<200) {
//获取系统开始时间（ms）
startTime = System.currentTimeMillis();
//beats心跳总数
beats = 0;
processing.set(false);
return;
}
// Log.e(TAG, "totalTimeInSecs=" + totalTimeInSecs + " beats="+ beats);
if (beatsIndex == beatsArraySize)
beatsIndex = 0;
beatsArray[beatsIndex] = dpm;
beatsIndex++;
int beatsArrayAvg = 0;
int beatsArrayCnt = 0;
for (int i = 0; i < beatsArray.length; i++) {
if (beatsArray[i] > 0) {
beatsArrayAvg += beatsArray[i];
beatsArrayCnt++;
}
}
int beatsAvg = (beatsArrayAvg / beatsArrayCnt);
text.setText("小毛同志的心率是"+String.valueOf(beatsAvg)+" zhi:"+String.valueOf(beatsArray.length)
+" "+String.valueOf(beatsIndex)+" "+String.valueOf(beatsArrayAvg)+" "+String.valueOf(beatsArrayCnt));
//获取系统时间（ms）
startTime = System.currentTimeMillis();
beats = 0;
}
processing.set(false);
}
};
private static SurfaceHolder.Callback surfaceCallback = new SurfaceHolder.Callback() {
public void surfaceCreated(SurfaceHolder holder) {
try {
camera.setPreviewDisplay(previewHolder);
camera.setPreviewCallback(previewCallback);
} catch (Throwable t) {
// Log.e("PreviewDemo-surfaceCallback","Exception in setPreviewDisplay()", t);
}
}
public void surfaceChanged(SurfaceHolder holder, int format, int width,
int height) {
Camera.Parameters parameters = camera.getParameters();
parameters.setFlashMode(Camera.Parameters.FLASH_MODE_TORCH);
Camera.Size size = getSmallestPreviewSize(width, height, parameters);
if (size != null) {
parameters.setPreviewSize(size.width, size.height);
// Log.d(TAG, "Using width=" + size.width + " height=" + size.height);
}
camera.setParameters(parameters);
camera.startPreview();
}
public void surfaceDestroyed(SurfaceHolder holder) {
// Ignore
}
};
private static Camera.Size getSmallestPreviewSize(int width, int height,
Camera.Parameters parameters) {
Camera.Size result = null;
for (Camera.Size size : parameters.getSupportedPreviewSizes()) {
if (size.width <= width && size.height <= height) {
if (result == null) {
result = size;
} else {
int resultArea = result.width * result.height;
int newArea = size.width * size.height;
if (newArea < resultArea)
result = size;
}
}
}
return result;
}
}
2.周期曲线绘制：ImageProcessing
package com.jwetherell.heart_rate_monitor;
public abstract class ImageProcessing {
private static int decodeYUV420SPtoRedSum(byte[] yuv420sp, int width,int height) {
if (yuv420sp == null)
return 0;
final int frameSize = width * height;
int sum = 0;
for (int j = 0, yp = 0; j < height; j++) {
int uvp = frameSize + (j >> 1) * width, u = 0, v = 0;
for (int i = 0; i < width; i++, yp++) {
int y = (0xff & ((int) yuv420sp[yp])) - 16;
if (y < 0)
y = 0;
if ((i & 1) == 0) {
v = (0xff & yuv420sp[uvp++]) - 128;
u = (0xff & yuv420sp[uvp++]) - 128;
}
int y1192 = 1192 * y;
int r = (y1192 + 1634 * v);
int g = (y1192 - 833 * v - 400 * u);
int b = (y1192 + 2066 * u);
if (r < 0)
r = 0;
else if (r > 262143)
r = 262143;
if (g < 0)
g = 0;
else if (g > 262143)
g = 262143;
if (b < 0)
b = 0;
else if (b > 262143)
b = 262143;
int pixel = 0xff000000 | ((r << 6) & 0xff0000)
| ((g >> 2) & 0xff00) | ((b >> 10) & 0xff);
int red = (pixel >> 16) & 0xff;
sum += red;
}
}
return sum;
}
public static int decodeYUV420SPtoRedAvg(byte[] yuv420sp, int width,
int height) {
if (yuv420sp == null)
return 0;
final int frameSize = width * height;
int sum = decodeYUV420SPtoRedSum(yuv420sp, width, height);
return (sum / frameSize);
}
}
四.运行效果：
这里我们采用的是
Qualcomm 骁龙平台的手机进行测试验证：
图1
图2
五.例程共享：
http://pan.baidu.com/s/1i5kFrcL
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