A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal

Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering from various cardiovascular diseases (CVDs). This research aims to develop a robust algorithm that can accurately classify the electrocardiogram signal even in the presence of environmental noise. A one...

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Bibliographic Details
Main Authors:	Amin Ullah, Sadaqat ur Rehman, Shanshan Tu, Raja Majid Mehmood, Fawad, Muhammad Ehatisham-ul-haq
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Sensors
Subjects:	electrocardiogram signal arrhythmia classification 2D CNN MIT-BIH arrhythmia database
Online Access:	https://www.mdpi.com/1424-8220/21/3/951

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