IEEE Trans Biomed Circuits Syst. 2019 Dec;13(6):1462-1470. doi: 10.1109/TBCAS.2019.2936414. Epub 2019 Aug 21.
This paper reports a system for monitoring pulse transit time (PTT). Using an Android smartphone and a customized sensing circuit, the system collects seismo-cardiogram (SCG), gyro-cardiogram (GCG), and photoplethysmogram (PPG) recordings. There is no need for any other external stand-alone systems. The SCG and GCG signals are recorded with the inertial sensors of the smartphone, while the PPG signal is recorded using a sensing circuit connected to the audio jack of the phone. The sensing circuit is battery-less, powered by the audio output of the smartphone using an energy harvester that converts audio tones into DC power. PPG waveforms are sampled via the microphone channel. A signal processing framework is developed and the system is experimentally verified on twenty healthy subjects at rest. The PTT is measured as the time difference between the aortic valve (AO) opening points in SCG or GCG and the fiducial points in PPG. The root-mean-square errors between the results from a stand-alone sensor system and the proposed system report 3.9 ms from SCG-based results and 3.4 ms from GCG-based results. The detection rates report more than 97.92% from both SCG and GCG results. This performance is comparable with stand-alone sensor nodes at a much lower cost.
本文报告了一种监测脉搏传输时间(PTT)的系统。该系统使用安卓智能手机和定制的感应电路,采集心震图(SCG)、陀螺心图(GCG)和光体积描记图(PPG)记录。无需任何其他外部独立系统。SCG 和 GCG 信号由智能手机的惯性传感器记录,而 PPG 信号则通过连接到手机音频插孔的感应电路记录。感应电路无电池,由智能手机的音频输出通过将音频调制成直流电源的能量收集器供电。PPG 波形通过麦克风通道进行采样。开发了一个信号处理框架,并在二十名健康受试者的休息状态下进行了实验验证。PTT 被测量为 SCG 或 GCG 中的主动脉瓣(AO)开口点与 PPG 中的基准点之间的时间差。从独立传感器系统和提出的系统的结果之间的均方根误差报告了 3.9 毫秒的 SCG 结果和 3.4 毫秒的 GCG 结果。来自 SCG 和 GCG 结果的检测率均超过 97.92%。这种性能与独立传感器节点相当,但成本要低得多。