Classification of atrial fibrillation with pretrained convolutional neural network models
Atrial Fibrillation (AF) is the most common chronic arrhythmia. Effective detection of the AF would avoid serious consequences like stroke. Conventional AF detection methods need heuristic or hand-crafted features extraction. Recently, deep learning (DL) techniques with massive data have been used o...
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| Main Authors: | Qayyum, A., Meriaudeau, F., Chan, G.C.Y. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23542 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2019
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062798021&doi=10.1109%2fIECBES.2018.8626624&partnerID=40&md5=2690246934319c896f1a609ca447f2bc http://eprints.utp.edu.my/23542/ |
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