AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector
Author:
Affiliation:
1. Department of Electrical Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India
2. Department of Electrical Engineering, Indian Institute of Technology Palakkad, Palakkad, Kerala, India
Funder
Indian Council of Medical Research (ICMR), New Delhi, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/8919/10363413/10229937.pdf?arnumber=10229937
Reference49 articles.
1. Guidelines for the management of atrial fibrillation: The Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC)
2. A Tri-Mode Compressed Analytics Engine for Low-Power AF Detection With On-Demand EKG Reconstruction
3. Considerations on Performance Evaluation of Atrial Fibrillation Detectors
4. A Review on the State of the Art in Atrial Fibrillation Detection Enabled by Machine Learning
5. Design of DNN-Based Low-Power VLSI Architecture to Classify Atrial Fibrillation for Wearable Devices
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