RETRACTED: Enhanced X-wave recognition in ECG signal using max–min thresholds and detection of QRS complex-Reference-Cited by-同舟云学术

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RETRACTED: Enhanced X-wave recognition in ECG signal using max–min thresholds and detection of QRS complex

Published:2024-04-25 Issue: Volume: Page:1-11
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Velusamy Saravanan¹,Murugan Pallikonda Rajasekaran²,Vishnuvarthanan G.³,Thiyagarajan Arunprasath²,Ramaraj Kottaimalai²,Kamalakkannan Vidyavathi⁴

Affiliation:

1. Department of ECE, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

2. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education Krishnankoil, Tamil Nadu, India

3. Data Science–Division School of Computing Science and Engineering VIT Bhopal University, Kothrikalan, Sehore Madhya Pradesh, India

4. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference22 articles.

1. Recognition system using fusion normalization based on morphological features of post-exercise ECG for intelligent biometrics;Choi;Sensors,2020

2. Chen C. , Hua Z. , Zhang R. , Liu G. , Wen W. , Automated arrhythmia classification based on a combination network of CNN and LSTM, Biomedical Signal Processing and Control 57 (2020), article 101819.

3. Huang J.S. , Chen B.Q. , Zeng N.Y. , Cao X.C. , Li Y. , Accurate classification of ECG arrhythmia using MOWPT enhanced fast compression deep learning networks, Journal of Ambient Intelligence and Humanized Computing 2 (2020).

4. LSTM-based ECG classification for continuous monitoring on personal wearable devices;Saadatnejad;IEEE Journal of Biomedical & Health Informatics,2020

5. Person identification using fusion of iris and periocular deep features;Umer;Neural Netw,2020

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