Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China.
College of Physics, Taiyuan University of Technology, Taiyuan 030024, China.
Sensors (Basel). 2023 Jan 11;23(2):835. doi: 10.3390/s23020835.
The human radial artery pulse carries a rich array of biomedical information. Accurate detection of pulse signal waveform and the identification of the corresponding pulse condition are helpful in understanding the health status of the human body. In the process of pulse detection, there are some problems, such as inaccurate location of radial artery key points, poor signal noise reduction effect and low accuracy of pulse recognition. In this system, the pulse signal waveform is collected by the main control circuit and the new piezoelectric sensor array combined with the wearable wristband, creating the hardware circuit. The key points of radial artery are located by an adaptive pulse finding algorithm. The pulse signal is denoised by wavelet transform, iterative sliding window and prediction reconstruction algorithm. The slippery pulse and the normal pulse are recognized by feature extraction and classification algorithm, so as to analyze the health status of the human body. The system has accurate pulse positioning, good noise reduction effect, and the accuracy of intelligent analysis is up to 98.4%, which can meet the needs of family health care.
人体桡动脉脉搏携带着丰富的生物医学信息。准确检测脉搏信号波形并识别相应的脉搏状态有助于了解人体的健康状况。在脉搏检测过程中，存在一些问题，例如桡动脉关键点定位不准确、信号降噪效果差以及脉搏识别精度低。在该系统中，脉搏信号由主控电路和新的压电传感器阵列结合可穿戴腕带采集，创建硬件电路。自适应脉搏查找算法定位桡动脉关键点。脉搏信号通过小波变换、迭代滑动窗口和预测重建算法进行去噪。通过特征提取和分类算法识别滑脉和正常脉，从而分析人体的健康状况。该系统具有准确的脉搏定位、良好的降噪效果，智能分析的准确率高达 98.4%，能够满足家庭保健的需求。
