鸿蒙跨设备心率监测系统：基于分布式技术的多终端脉搏协同分析方案 原创

鸿蒙跨设备心率监测系统：基于分布式技术的多终端脉搏协同分析方案

一、系统架构设计

!https://example.com/harmonyos-heartrate-arch.png

采用三层架构：
感知层：多设备摄像头采集指尖视频流

分析层：分布式脉搏波提取与心率计算

展示层：跨终端实时可视化与异常预警

二、核心模块实现
脉搏信号处理模块

// PulseAnalyzer.ts
import image from ‘@ohos.multimedia.image’;
import ppg from ‘@ohos.signalProcessing.ppg’;

interface PulseData {
timestamp: number;
deviceId: string;
rawSignal: number[];
heartRate?: number;
confidence: number;
export class PulseAnalyzer {

private readonly SAMPLE_RATE = 30; // 30fps
private readonly WINDOW_SIZE = 150; // 5秒数据窗
private signalBuffer: number[] = [];

async processFrame(image: image.Image): Promise<PulseData> {
const rgb = this.extractFingertipRGB(image);
this.signalBuffer.push(this.calculatePPG(rgb));

if (this.signalBuffer.length >= this.WINDOW_SIZE) {
  const hr = this.calculateHeartRate(this.signalBuffer);
  this.signalBuffer = []; // 清空缓冲区
  return {
    timestamp: Date.now(),
    deviceId: 'local_device',
    rawSignal: this.signalBuffer,
    heartRate: hr,
    confidence: this.calculateConfidence()
  };

return {

  timestamp: Date.now(),
  deviceId: 'local_device',
  rawSignal: this.signalBuffer,
  confidence: this.calculateConfidence()
};

private extractFingertipRGB(image: image.Image): [number, number, number] {

// 从ROI区域提取平均RGB值
const roi = this.detectFingertipROI(image);
const pixelData = image.getPixelData(roi);
let r = 0, g = 0, b = 0;

for (let i = 0; i < pixelData.length; i += 4) {

+= pixelData[i];

+= pixelData[i+1];

+= pixelData[i+2];

const count = pixelData.length / 4;

return [r/count, g/count, b/count];

private calculatePPG(rgb: [number, number, number]): number {

// 使用绿色通道作为主要PPG信号
return rgb[1]  0.8 + rgb[0]  0.1 + rgb[2] * 0.1;

private calculateHeartRate(signal: number[]): number {

// 使用FFT计算主频
const fft = new ppg.FFT(signal.length);
const spectrum = fft.forward(signal);
const peakFreq = this.findPeakFrequency(spectrum);
return Math.round(peakFreq * 60); // 转换为bpm

// 其他辅助方法…

分布式数据管理

// HealthDataSync.ts
import distributedData from ‘@ohos.data.distributedData’;

interface HealthSession {
sessionId: string;
participants: string[];
heartRates: Record<string, number>;
lastUpdate: number;
export class HealthDataSync {

private kvManager: distributedData.KVManager;
private kvStore: distributedData.KVStore;

async init() {
const context = getContext(this);
this.kvManager = distributedData.createKVManager({ context });

const options = {
  createIfMissing: true,
  encrypt: true,
  autoSync: true,
  kvStoreType: distributedData.KVStoreType.SINGLE_VERSION
};

this.kvStore = await this.kvManager.getKVStore('health_data', options);
this.setupDataListeners();

async createMonitoringSession(deviceIds: string[]): Promise<string> {

const sessionId = hr_session_${Date.now()};
const session: HealthSession = {
  sessionId,
  participants: deviceIds,
  heartRates: {},
  lastUpdate: Date.now()
};

await this.kvStore.put(sessionId, session);
return sessionId;

async updateHeartRate(sessionId: string, deviceId: string, hr: number) {

const session = await this.kvStore.get(sessionId);
if (!session) return;

session.heartRates[deviceId] = hr;
session.lastUpdate = Date.now();
await this.kvStore.put(sessionId, session);

private setupDataListeners() {

this.kvStore.on('dataChange', distributedData.SubscribeType.SUBSCRIBE_TYPE_REMOTE, 
  (changes) => {
    changes.forEach(({ key, value }) => {
      if (key.startsWith('hr_session_')) {
        this.handleSessionUpdate(value);

});

  });

// 其他方法…

主页面实现（ArkUI）

// HeartRateApp.ets
import { PulseAnalyzer } from ‘./PulseAnalyzer’;
import { HealthDataSync } from ‘./HealthDataSync’;

@Entry
@Component
struct HeartRateMonitor {
@State currentHR?: number;
@State participantsHR: Record<string, number> = {};
@State sessionId?: string;

private pulseAnalyzer = new PulseAnalyzer();
private healthSync = new HealthDataSync();
private cameraController?: CameraController;

async aboutToAppear() {
await this.pulseAnalyzer.init();
await this.healthSync.init();
startMonitoring() {

this.cameraController = new CameraController({
  onFrame: async (image: image.Image) => {
    const result = await this.pulseAnalyzer.processFrame(image);
    if (result.heartRate) {
      this.currentHR = result.heartRate;
      if (this.sessionId) {
        await this.healthSync.updateHeartRate(
          this.sessionId,
          'local_device',
          result.heartRate
        );

}

});

this.cameraController.start();

async startCollaborativeSession() {

const devices = await this.getTrustedDevices();
this.sessionId = await this.healthSync.createMonitoringSession(devices);
this.setupSessionListener();

build() {

Column() {
  // 本地心率显示
  if (this.currentHR) {
    HeartRateDisplay(this.currentHR)

else {

    Text('请将手指覆盖摄像头')

// 协作成员心率

  if (this.sessionId) {
    ParticipantHRList(this.participantsHR)

// 控制按钮

  Row() {
    Button('开始检测')
      .onClick(() => this.startMonitoring())
    Button('创建协作会话')
      .onClick(() => this.startCollaborativeSession())

}

// 其他方法…

@Component

struct HeartRateDisplay {
@Prop hr: number;

build() {
Column() {
Text(‘当前心率’)
.fontSize(18)
Text(${this.hr})
.fontSize(36)
.fontColor(this.getColor())
}

private getColor(): Resource {
if (this.hr < 60) return $r(‘app.color.blue’);
if (this.hr > 100) return $r(‘app.color.red’);
return $r(‘app.color.green’);
}

@Component
struct ParticipantHRList {
@Prop hrData: Record<string, number>;

build() {
List() {
ForEach(Object.entries(this.hrData), ([deviceId, hr]) => {
ListItem() {
Row() {
Text(deviceId.slice(0, 6))
Text(${hr} bpm)
.fontColor(this.getHrColor(hr))
}

  })

}

private getHrColor(hr: number): Resource {
return hr > 100 || hr < 60 ? r(‘app.color.alert’) : r(‘app.color.normal’);
}

三、跨设备协同关键实现
多设备数据融合

// 在HealthDataSync中添加
async getConsolidatedHR(sessionId: string): Promise<number> {
const session = await this.kvStore.get(sessionId);
if (!session) return 0;

const validHRs = Object.values(session.heartRates)
.filter(hr => hr > 30 && hr < 200);

if (validHRs.length === 0) return 0;

// 加权平均（根据设备类型赋予不同权重）
let sum = 0, totalWeight = 0;
validHRs.forEach(hr => {
const weight = this.getDeviceWeight(hr.deviceId);
sum += hr * weight;
totalWeight += weight;
});

return Math.round(sum / totalWeight);
private getDeviceWeight(deviceId: string): number {

// 手机摄像头通常比平板更准确
return deviceId.includes(‘phone’) ? 1.2 : 1.0;

异常检测协同预警

// HealthAlert.ts
export class HealthAlert {
static checkAbnormalHR(hr: number, age: number): boolean {
const maxHR = 220 - age;
return hr < 50 || hr > maxHR * 0.9;
static async notifyParticipants(sessionId: string, message: string) {

const session = await HealthDataSync.getInstance().getSession(sessionId);
if (!session) return;

await Promise.all(session.participants.map(deviceId => {
  return this.sendAlert(deviceId, message);
}));

private static async sendAlert(deviceId: string, message: string) {

try {
  await distributedNotification.publish({
    message,
    targetDevice: deviceId,
    urgency: 'high'
  });

catch (err) {

  console.error(发送警报失败: {err.code}, {err.message});

}

数据同步优化

// 在HealthDataSync中添加
private hrCache = new Map<string, number>();
private readonly SYNC_INTERVAL = 1000; // 1秒同步一次

async updateHeartRateOptimized(sessionId: string, deviceId: string, hr: number) {
this.hrCache.set({sessionId}_{deviceId}, hr);

if (!this.syncTimer) {
this.syncTimer = setTimeout(() => this.flushHrCache(), this.SYNC_INTERVAL);
}

private async flushHrCache() {
const updates: Promise<void>[] = [];

this.hrCache.forEach((hr, key) => {
const [sessionId, deviceId] = key.split(‘_’);
updates.push(this.updateHeartRate(sessionId, deviceId, hr));
});

await Promise.all(updates);
this.hrCache.clear();
this.syncTimer = undefined;

四、性能优化方案
图像处理优化

// 在PulseAnalyzer中添加
private optimizeImageProcessing(image: image.Image): image.Image {
// 缩小处理区域提高性能
const roi = this.detectFingertipROI(image);
return image.crop({
x: roi.x,
y: roi.y,
width: Math.min(roi.width, 120),
height: Math.min(roi.height, 120)
});

数据传输压缩

// 使用紧凑数据结构
interface CompactPulseData {
t: number; // timestamp
d: string; // deviceId
h?: number; // heartRate
c: number; // confidence
function compressPulseData(data: PulseData): CompactPulseData {

return {
t: data.timestamp,
d: data.deviceId,
h: data.heartRate,
c: data.confidence
};

本地缓存策略

const sessionCache = new Map<string, HealthSession>();

async getCachedSession(sessionId: string): Promise<HealthSession | undefined> {
if (sessionCache.has(sessionId)) {
return sessionCache.get(sessionId);
const session = await this.kvStore.get(sessionId);

if (session) {
sessionCache.set(sessionId, session);
return session;

五、安全与隐私保护
数据加密传输

// 在HealthDataSync初始化时
const secureOptions = {
encrypt: true,
securityLevel: distributedData.SecurityLevel.S2,
kvStoreType: distributedData.KVStoreType.DEVICE_COLLABORATION
};

权限控制

// module.json5
“requestPermissions”: [
“name”: “ohos.permission.CAMERA”

},
“name”: “ohos.permission.HEALTH_DATA”

},
“name”: “ohos.permission.DISTRIBUTED_DATASYNC”

]

六、应用场景扩展
家庭健康监护

class FamilyHealthMonitor {
async setupFamilySession(memberIds: string[]) {
// 建立家庭成员健康监测会话
}

运动训练指导

class WorkoutCoach {
async analyzeTrainingEffect(hrData: number[]) {
// 基于心率数据评估训练强度
}

远程医疗协作

class TelemedicineSession {
async shareWithDoctor(doctorId: string, sessionId: string) {
// 向医生共享实时心率数据
}

压力监测系统

class StressMonitor {
async calculateStressLevel(hrVariability: number) {
// 通过心率变异性评估压力水平
}

本系统充分利用HarmonyOS分布式能力，实现了：
多设备协同测量：综合多个设备的测量结果提高准确性

实时健康监护：秒级延迟的数据同步与预警

隐私安全保障：端到端加密的健康数据传输

自适应分析：根据设备性能动态调整处理算法

开发者可以基于此框架扩展更多健康监测场景，如血氧检测、呼吸频率分析等，构建全面的分布式健康管理系统。