Atrial Fibrillation Detection Using ECG Recordings Based on Genetic Optimization-Reference-Cited by-同舟云学术

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Atrial Fibrillation Detection Using ECG Recordings Based on Genetic Optimization

Published:2024-07-11 Issue: Volume:163 Page:21
ISSN:
Container-title:IPDIMS 2023
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Author:

Ummadisetty Sreenivasulu¹,Tatineni Madhavi²

Affiliation:

1. Department of Electrical, Electronics and Communication Engineering, GITAM School of Technology, Vishakapatnam 530045, Andhra Pradesh, India

2. Department of Electrical, Electronics and Communication Engineering, GITAM School of Technology, Hyderabad 502329, Telangana, India

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/66/1/21/pdf

Reference9 articles.

1. Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches;Jahan;Int. J. Med. Inform.,2022

2. A Real-Time QRS Detection Algorithm;Pan;IEEE Trans. Biomed. Eng.,1985

3. Automatic Atrial Fibrillation Detection Using Modified Moth Flame Optimization Algorithm;Ummadisetty;Int. J. Intell. Eng. Syst.,2023

4. Detection of atrial fibrillation using variable length genetic algorithm and convolutional neural network;Sheibani;Concurr. Comput. Pract. Exp.,2022

5. Parsi, A., Glavin, M., Jones, E., and Byrne, D. (2021). Prediction of paroxysmal atrial fibrillation using new heart rate variability features. Comput. Biol. Med., 133.

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