Guo Binbin, Tang Hong, Xia Shufeng, Wang Miao, Hu Yating, Zhao Zehang
School of Biomedical Engineering, Dalian University of Technology, Dalian 116024, China.
Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System, Dalian University of Technology, Dalian 116024, China.
J Pers Med. 2022 Dec 4;12(12):2011. doi: 10.3390/jpm12122011.
A multi-channel wearable heart sound visualization system based on novel heart sound sensors for imaging cardiac acoustic maps was developed and designed. The cardiac acoustic map could be used to detect cardiac vibration and heart sound propagation. The visualization system acquired 72 heart sound signals and one ECG signal simultaneously using 72 heart sound sensors placed on the chest surface and one ECG analog front end. The novel heart sound sensors had the advantages of high signal quality, small size, and high sensitivity. Butterworth filtering and wavelet transform were used to reduce noise in the signals. The cardiac acoustic map was obtained based on the cubic spline interpolation of the heart sound signals. The results showed the heart sound signals on the chest surface could be detected and visualized by this system. The variations of heart sounds were clearly displayed. This study provided a way to select optimal position for auscultation of heart sounds. The visualization system could provide a technology for investigating the propagation of heart sound in the thoracic cavity.
开发并设计了一种基于新型心音传感器的多通道可穿戴心音可视化系统，用于成像心脏声学图。心脏声学图可用于检测心脏振动和心音传播。该可视化系统使用放置在胸部表面的72个心音传感器和一个心电模拟前端同时采集72个心音信号和一个心电信号。新型心音传感器具有信号质量高、体积小和灵敏度高的优点。采用巴特沃斯滤波和小波变换来降低信号中的噪声。基于心音信号的三次样条插值获得心脏声学图。结果表明，该系统能够检测并可视化胸部表面的心音信号。心音的变化清晰显示。本研究提供了一种选择心音听诊最佳位置的方法。该可视化系统可为研究心音在胸腔中的传播提供一种技术。
