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

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

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) a...

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Bibliographic Details
Main Authors: Madhubabu Anumukonda, Prasadraju Lakkamraju, Shubhajit Roy Chowdhury
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Medical Technology
Subjects:
phonocardiography
cardiac sounds
inverse delayed function model of neuron
artificial neural networks
field programmable gate array
Online Access:https://www.frontiersin.org/articles/10.3389/fmedt.2021.666650/full

Internet

https://www.frontiersin.org/articles/10.3389/fmedt.2021.666650/full

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