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Found 1 from your keywords: author=Setiadi, Raihan Mufid

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KLASIFIKASI ABNORMALITAS ATRIAL FIBRILATION PADA SINYAL ECG MENGGUNAKAN DEEP …

Atrial fibrillation is a type of heart rhythm disorder that most often occurs in the world and can cause death. Atrial fibrillation can be diagnosed by reading an Electrocardiograph (ECG) recording, however, an ECG reading takes a long time and requires specialists to analyze the type of signal pattern. The use of deep learning to classify Atrial Fibrillation abnormalities in ECG signals was ch…

Edition: -
ISBN/ISSN: -
Collation: xii, 116 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T789052022

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