研究目的
Developing software-based algorithms for physiological signal processing and physiological parameter measurement, focusing on biosensor-based real-time acquisition, processing, and peak detection of ECG and PPG signals for heart rate, pulse rate, and blood pressure measurement.
研究成果
The proposed method provides a simple, low-cost solution for real-time acquisition, processing, and monitoring of physiological signals. It effectively uses graphical programming language and analogue devices for denoising, analyzing, and extracting physiological signals, offering advantages in automatic filtering of noise and estimation of critical cardiology parameters like blood pressure and pulse rate.
研究不足
The selection of wavelet depends on applications, which is a major limitation of this work. Future work includes applying filtering and wavelet analysis methods for different hospital-based physiological signal processing studies and analyzing signals with more parameters to make the monitoring system more efficient.
