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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...

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Príomhchruthaitheoirí: Orken Mamyrbayev, Dina Oralbekova, Sholpan Zhumagulova, Ernat Azanbekov
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Al-Farabi Kazakh National University 2024-03-01
Sraith:Journal of Problems in Computer Science and Information Technologies
Ábhair:
Rochtain ar líne:https://jpcsit.kaznu.kz/index.php/kaznu/article/view/108
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