ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks

ECG-based cardiac arrhythmia classification using fuzzy encoded features and deep neural networks

Cardiac arrhythmia, characterized by an irregular heart rhythm, is a leading cause of sudden and unexpected deaths among patients with cardiovascular diseases. The electrocardiogram (ECG) is a widely utilized non-invasive tool for detecting cardiac arrhythmias. This study investigates the effectiven...

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Bibliographic Details
Main Authors: Kiruthika Balakrishnan, Durgadevi Velusamy, Karthikeyan Ramasamy, Lisiane Pruinelli
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Biomedical Engineering Advances
Subjects:
Electrocardiogram (ECG) signal
Cardiac arrhythmia
Fourier–Bessel series expansion-based Tunable Q wavelet transform features (FBSE-TQWT)
Principal component analysis
Fuzzy-deep learning classifier
Online Access:http://www.sciencedirect.com/science/article/pii/S2667099225000234
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