Biosensor-based feature extraction and physiological parameters measurement for biomedical applications

Physiological signal processing has significantly increased recently among the biomedical researchers for developing wearable standalone devices. Wearable devices are essential in hospital which is used for various biomedical applications such as heart rate and blood pressure measurement. In noisy environment, producing an algorithm for the physiological signal processing and feature extraction is an essential task which depends on the physiological conditions. In this paper, the software-based algorithms are developed for physiological signal processing and physiological parameter measurement. This paper presents biosensor-based real-time acquisition, processing and peak detection of ECG and PPG signals for heart rate, pulse rate and blood pressure measurement. ECG and PPG amplifiers were designed and the real-time signals are acquired through analogue devices and processed using LabVIEW and MatLab environment. The advantages of proposed work are very simple, low cost, easy integration with programming environment and gives continuous monitoring of physiological signals.