Prediction of ECG Cardiac Abnormality Signal using Supervised Prediction Model-Reference-Cited by-同舟云学术

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Prediction of ECG Cardiac Abnormality Signal using Supervised Prediction Model

Published:2023-12-16 Issue: Volume: Page:294-298
ISSN:
Container-title:2023 IEEE 11th Conference on Systems, Process & Control (ICSPC)
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Author:

Shaharuddin Shazreen¹,Rozi Nur Izzani Mat²,Miskan Maizatullifah¹,Hashim Fakroul Ridzuan²,Sabri Mohd Salman Mohd²,Saleh Mohd Sharil³

Affiliation:

1. Faculty of Medical & Defense Health Universiti Pertahanan Nasional Malaysia,Kuala Lumpur,Malaysia

2. Universiti Pertahanan Nasional Malaysia,Faculty of Engineering,Kuala Lumpur,Malaysia

3. Universiti Tun Hussein Onn Malaysia,Faculty of Electrical & Electronic Engineering,Batu Pahat,Johor,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419865/10419882/10420227.pdf?arnumber=10420227

Reference21 articles.

1. Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals

2. Channel Self-Attention Deep Learning Framework for Multi-Cardiac Abnormality Diagnosis from Varied-Lead ECG Signals

3. Multitask and Transfer Learning for Cardiac Abnormality Detection in Heart Sounds

4. Cardiac Abnormality Prediction using Logsig-Based MLP Network

5. Multilayer Perceptron Optimization of ECG Peaks for Cardiac Abnormality Detection

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