MI-OPTNET: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MYOCARDIAL INFARCTION DETECTION

MI-OPTNET: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MYOCARDIAL INFARCTION DETECTION

The conventional means of myocardial infarction (MI) detection using a 12-lead electrocardiogram (ECG) system include a pretrained network and machine learning interpretation of the complex ECG signals. They are computationally inefficient and demand high-performance hardware. Here, for the first ti...

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Bibliographic Details
Main Authors: Audrey Huong, Audrey Huong, KimGaik Tay, KimGaik Tay, KokBeng Gan, KokBeng Gan, Xavier Ngu, Xavier Ngu
Format: Article
Language:English
Published: 2024
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/11100/1/J17610_f94a2c5588b5b1c6112fea97f8bdf89e.pdf
http://eprints.uthm.edu.my/11100/
https://doi.org/10.11113/jurnalteknologi.v86.19348%7C
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English

Internet

http://eprints.uthm.edu.my/11100/1/J17610_f94a2c5588b5b1c6112fea97f8bdf89e.pdf
http://eprints.uthm.edu.my/11100/
https://doi.org/10.11113/jurnalteknologi.v86.19348%7C

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