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=Volume 3 - 2021 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=The paper focuses on the extraction of cardiac sound components using multi-channel MEMS microphone based phonocardiography system. The proposed multi channel phonocardiography system classifies the cardiac sound components using artificial neural networks (ANN) and synaptic weights are calculated using the Inverse delayed(ID) function model of neuron. The proposed ANN model was simulated in MATLABR and implemented in field programmable gate array (FPGA). The proposed system examined the both abnormal and normal samples collected from 30 patients. Experimental results revealed a good sensitivity of 99.1% and accuracy of 0.9.