A novel deep neural network heartbeats classifier for heart health monitoring

Author:

Sindhu Velagapudi Swapna,Lakshmi Kavuri Jaya,Tangellamudi Ameya Sanjanita,Ghousiya Begum K.ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Computer Networks and Communications,Artificial Intelligence

Reference37 articles.

1. Automated heartbeat classification and detection of arrhythmia using optimal orthogonal wavelet filters;Sharma;Inform. Med. Unlocked,2019

2. A pedagogical approach on digital signal processing for ECG signals;Abhijnan;Adv. Autom., Signal Process., Instrum., Control, Lect. Notes in Electr. Eng.,2021

3. Entropies for automated detection of coronary artery disease using ECG signals: a review;Acharya;Biocybern. Biomed. Eng.,2018

4. Heartbeat classification using disease-specific feature selection;Zhang;Comput. Biol. Med.,2014

5. ECG biometric with abnormal cardiac conditions in remote monitoring system;Sidek;IEEE Trans. Syst. Man, Cybern. Syst.,2014

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1. ACAC: Automatic Cardiac Arrhythmia Classification Based on 1D-Deep Resnet;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

2. Intelligent ECG-Based COVID-19 Diagnose Device Using CNN Deep Learning Approaches;Lecture Notes in Networks and Systems;2024

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