Low-Cost, Low-Power, and Low-Compute Based ECG Monitoring Systems: Comparative Analysis and Beyond-Reference-Cited by-同舟云学术

Low-Cost, Low-Power, and Low-Compute Based ECG Monitoring Systems: Comparative Analysis and Beyond

Published:2022-11-20 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
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Author:

Zishan Md Abu Obaida¹,Shihab H M¹,Islam Sabik Sadman¹,Riya Maliha Alam¹,Rahman Gazi Mashrur¹,Noor Jannatun¹

Affiliation:

1. BRAC University,Department of Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989532/9990057/09990730.pdf?arnumber=9990730

Reference22 articles.

1. A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach

2. ANSI/AAMI EC57:2012-Testing and ReportingPerformance results of cardiac rhythm and ST segment measurement algorithms;American National Standard,2013

3. Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia Detection

4. Low Cost, Portable ECG Monitoring and Alarming System Based on Deep Learning

5. A Personalized Point-of-Care Platform for Real-Time ECG Monitoring

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