AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
BMC Medical Informatics and Decision Making2021Vol. 21(1), pp. 216–216
Citations Over TimeTop 10% of 2021 papers
Bambang Tutuko, Siti Nurmaini, Alexander Edo Tondas, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Ria Esafri, Firdaus Firdaus, Ade Iriani Sapitri
Abstract
These findings demonstrate that the proposed approach can use unknown data to derive feature maps and reliably detect the AF periods. We have found that our cloud-DL system is suitable for practical deployment.
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