Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller-Reference-Cited by-同舟云学术

Dense neural network based arrhythmia classification on low-cost and low-compute micro-controller

Published:2024-04 Issue: Volume:239 Page:122560
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zishan Md. Abu Obaida^ORCID,Shihab H.M.^ORCID,Islam Sabik Sadman^ORCID,Riya Maliha Alam^ORCID,Rahman Gazi Mashrur^ORCID,Noor Jannatun^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference37 articles.

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

2. World health statistics,2020

3. Low cost, portable ECG monitoring and alarming system based on deep learning;Ahsanuzzaman,2020

4. Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020;Alday;Physiological Measurement,2020

5. Single-lead, heart rate monitor,2022

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