An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification

An Empiric Analysis of Wavelet-Based Feature Extraction on Deep Learning and Machine Learning Algorithms for Arrhythmia Classification

The aberration in human electrocardiogram (ECG) affects cardiovascular events that may lead to arrhythmias. Many automation systems for ECG classification exist, but the ambiguity to wisely employ the in-built feature extraction or expert based manual feature extraction before classification still n...

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Bibliographic Details
Main Authors: Ritu Singh, Navin Rajpal, Rajesh Mehta
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2021-05-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
ecg arrhythmia
long short term memory
support vector machine
wavelet
Online Access:https://www.ijimai.org/journal/bibcite/reference/2836

Internet

https://www.ijimai.org/journal/bibcite/reference/2836

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