摘要
为解决市场上心率测量方法成本高、测量精度低的问题,基于Android平台设计实现了指尖视频心率检测定位系统。系统利用手机摄像头,采集分析人体指尖图像视频信号,采用小波阈值去噪算法去除输入信号中的噪声项,获得准确的实时心率测量结果。同时系统基于百度地图API的定位SDK,提供了及时且精确的位置服务,当判定心率异常时,将自动发送异常警告至监护人手机,并报告当前位置信息。测试结果表明,系统大大提高了心率测量结果的精度,平均相对误差仅2.08%,异常警报亦能正常发送,达到实际应用需求。
To mitigate the problem of high cost and low accuracy of the heart rate measurement,authors have presented an Android based heart rate detection position system.The system uses the built-in camera,collects and analyses the human fingertip video imaging data signal,uses wavelets threshold method to de-noise signal to obtain accurate real-time heart rate measurement.System also provides timely and accurate location services using positioning SDK in Baidu Map API,which automatically sends warnings and current location to the guardians＇ automatically when determine abnormal conditions.The result indicates that proposed method has successfully enhanced accuracy,the average relative error is 2.08%,as well as the abnormal information and the real-time location.
出处
《数字技术与应用》
2017年第12期89-90,共2页
Digital Technology & Application
基金
四川省科技攻关项目(项目编号:2015FZ0061)
关键词
心率检测
小波阈值去噪
定位服务
heart rate detection
wavelet threshold de-noising
positioning service
作者简介
李欣（1993-），女，汉族，山西太原人，研究生在读，研究方向：现代信号处理、GPS理论与应用、前端开发。
