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
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