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Published on: November 7, 2019
FPGA-Based High-Performance Phonocardiography System for Extraction of Cardiac Sound Components Using Inverse Delayed
Madhubabu Anumukonda1, Prasadraju Lakkamraju1, Shubhajit Roy Chowdhury2
1Center for Very Large Scale Integration and Embedded Systems Technology, International Institute of Information Technology Hyderabad, Hyderabad, India.
Abstract:
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 MATLABR 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.
