基于移动端的非接触心率检测系统研究与设计

Research and design of non-contact heart rate detection system based on mobile terminal

摘要:

心率的检测对人体健康监护有重要的意义，目前主流心率检测设备需与皮肤直接接触，容易引起传染性疾病的传播风险并给用户带来负担；为了解决这些问题，开发了一款基于安卓移动端设备的心率检测应用，可实现非接触式的心率检测并将检测结果展示在主界面上，完成用户自主的心率检测功能；根据远程光电容积描记法，可从人体皮肤的图像数据中提取出心率信息，因此应用中封装了欧拉视频放大算法来实现非接触式心率信号检测，可通过采集面部图像数据来进行人体心率的估计；该应用操作简便，使用场景也不受限制，在真实环境中的实验结果表明，其检测结果与真实心率间的均方根误差为2.93，误差较小且与真实心率具有较高一致性，其检测精度能够满足用户使用需求。

Abstract:

The detection of heart rate is of great significance to human health. Currently, the mainstream heart rate detection equipment needs to be in direct contact with the skin, which can easily lead to the transmission of infectious diseases and bring burdens to users. In order to solve these problems, this paper develops a heart rate detection application based on Android devices, which can be used for non-contact heart rate detection and display the detection results on the interface, and realize self-detection of the user"s heart rate. The heart rate detection algorithm packaged in the application is the Euler video magnification algorithm, which can estimate the human heart rate through facial images. The designed application is easy to operate, and the usage scenarios are not limited. The experimental results in real environment show that the root mean square error between the detection results and the real heart rate is 2.93, which is small and has a high consistency with the real heart rate. The detection accuracy can meet the needs of users.