Automatic Arrhythmia Detection Based on the Probabilistic Neural Network with FPGA Implementation

Automatic Arrhythmia Detection Based on the Probabilistic Neural Network with FPGA Implementation

This paper presents a prototype implementation of arrhythmia classification using Probabilistic neural network (PNN). Arrhythmia is an irregular heartbeat, resulting in severe heart problems if not diagnosed early. Therefore, accurate and robust arrhythmia classification is a vital task for cardiac...

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Bibliographic Details
Main Authors:	Alenezi, F. (Author), Alhudhaif, A. (Author), Althubiti, S.A (Author), Kumar, B. (Author), Polat, K. (Author), Srivastava, R. (Author)
Format:	Article
Language:	English
Published:	Hindawi Limited 2022
Subjects:	Arrhythmia classification Arrhythmia detection Cardiac patients Diseases ECG features Electrocardiography Field programmable gate arrays (FPGA) FPGA implementations FPGAs implementation Heart-rate Neural networks Neural-networks Probabilistics Prototype implementations
Online Access:	View Fulltext in Publisher

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