Classification of heart diseases using time-frequency representations of electrocardiogram signals by transfer learning networks
It is crucial to monitor and diagnose cardiac function early to prevent the development of future, more severe issues. This study categorized 193 male and female subjects into three groups based on their ECG signals obtained during an exercise test: healthy, myocardial infarction, and left bundle b...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2025-03-01
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| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/10858 |
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