Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features

Automatic Segmentation and Classification of Heart Sounds Using Modified Empirical Wavelet Transform and Power Features

A system for the automatic classification of cardiac sounds can be of great help for doctors in the diagnosis of cardiac diseases. Generally speaking, the main stages of such systems are (i) the pre-processing of the heart sound signal, (ii) the segmentation of the cardiac cycles, (iii) feature extr...

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Bibliographic Details
Main Authors: Pedro Narváez, Steven Gutierrez, Winston S. Percybrooks
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
EWT
Shannon energy
power features
automatic segmentation
feature extraction
machine learning
Online Access:https://www.mdpi.com/2076-3417/10/14/4791

Internet

https://www.mdpi.com/2076-3417/10/14/4791

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