CLASSIFICATION OF DANGEROUS ARRHYTHMIAS USING ECG SCALOGRAMS WITH DEEP CONVOLUTIONAL NEURAL NETWORKS
In modern medicine, the problem of detecting and classifying life-threatening arrhythmias based on ECG data remains relevant and critically important for continuous patient monitoring. This study is dedicated to developing a method for the automatic classification of six classes of dangerous arrhyt...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Al-Farabi Kazakh National University
2024-03-01
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| Sarja: | Journal of Problems in Computer Science and Information Technologies |
| Aiheet: | |
| Linkit: | https://jpcsit.kaznu.kz/index.php/kaznu/article/view/108 |
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