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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| 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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