AUTHOR=Anumukonda Madhubabu , Lakkamraju Prasadraju , Chowdhury Shubhajit Roy 

TITLE=FPGA-Based High-Performance Phonocardiography System for Extraction of Cardiac Sound Components Using Inverse Delayed Neuron Model

JOURNAL=Frontiers in Medical Technology

VOLUME=3

YEAR=2021

URL=https://www.frontiersin.org/journals/medical-technology/articles/10.3389/fmedt.2021.666650

DOI=10.3389/fmedt.2021.666650

ISSN=2673-3129

ABSTRACT=<p>The study focuses on the extraction of cardiac sound components using a multi-channel micro-electromechanical system (MEMS) microphone-based phonocardiography system. The proposed multi-channel phonocardiography system classifies the cardiac sound components using artificial neural networks (ANNs) and synaptic weights that are calculated using the inverse delayed (ID) function model of the neuron. The proposed ANN model was simulated in MATLAB<sup>R</sup> and implemented in a field-programmable gate array (FPGA). The proposed system examined both abnormal and normal samples collected from 30 patients. Experimental results revealed a good sensitivity of 99.1% and an accuracy of 0.9.</p>