Periodical correlation analysis of digital data pulses for real-time medical applications

Abstract

The main aim of the biomedical signal processing is to extract information from a biological signal. Biomedical signal processing involves recording of the biological events such as heart-beats etc. The feasibility of extracting accurate Heart-Rate is demonstrated by measuring the variability in the photoelectric plethysmography signals. The Pulse Rate is obtained from the systolic peaks of the pulse wave measured from a Heart-Beat sensor. From the Pulse Rate the Heart-Rate can be calculated. Digital Data Processing system involves real-time processing of Heart-Beat pulses. The captured data is processed in real time using Pulse Shape Discrimination Algorithm and verified on a field programmable gate array device. This study opens a way to derive heart rate from pulse rate with a simple assessment which can be applied to many persons suffering with various heart diseases. It is also analyzed the various distorted signals caused by motion artifacts are removed using morphological operators such as erosion and dilation without the help of any filters, and designed a PSD algorithm to calibrate the signals for better accuracy. The main focus is on the operation of Correlation with which the PSD has been designed. The proposed Algorithm is designed using Xilinx ISE 13.4.