Key result
An intelligent wearable wrist pulse detection system using a piezoelectric sensor array achieved an intelligent analysis accuracy of 98.4% for recognizing slippery and normal pulses.
Why the study?
Pulse detection faces challenges including inaccurate location of radial artery key points, poor signal noise reduction, and low accuracy of pulse recognition.
A novel wearable piezoelectric sensor array system demonstrates high accuracy (98.4%) in detecting and classifying radial artery pulse waveforms, showing potential for home health monitoring.
Supports further development of wearable pulse sensors for home monitoring; leaves open prospective validation in clinical populations.
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.
No takes yet. Share an insight, caveat, or question.
Liu et al. (2023) studied Pulse detection. Intelligent Wearable Wrist Pulse Detection System Based on Piezoelectric Sensor Array was evaluated on Accuracy of intelligent analysis for pulse recognition. An intelligent wearable wrist pulse detection system using a piezoelectric sensor array achieved an intelligent analysis accuracy of 98.4% for recognizing slippery and normal pulses.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: