A Computational Methodology Based on Maximum Overlap Discrete Wavelet Transform and Autoencoders for Early Prediction of Sudden Cardiac Death

A Computational Methodology Based on Maximum Overlap Discrete Wavelet Transform and Autoencoders for Early Prediction of Sudden Cardiac Death

Cardiovascular diseases are among the major global health problems. For example, sudden cardiac death (SCD) accounts for approximately 4 million deaths worldwide. In particular, an SCD event can subtly change the electrocardiogram (ECG) signal before onset, which is generally undetectable by the pat...

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Bibliographic Details
Main Authors: Manuel A. Centeno-Bautista, Andrea V. Perez-Sanchez, Juan P. Amezquita-Sanchez, David Camarena-Martinez, Martin Valtierra-Rodriguez
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Computation
Subjects:
sudden cardiac death
electrocardiogram signal
maximum overlap discrete wavelet packet transform
stacked autoencoders
deep learning
Online Access:https://www.mdpi.com/2079-3197/13/6/130
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