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

Internet

https://www.mdpi.com/1424-8220/21/3/951

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