Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks

Hasitha Kuruwita; Ng Shu Kay; Alan Liew; Brent Richards; Kelvin Ross; Kuldeep Kumar; Luke  Haseler; Meghan McConnell; Ping Zhang

doi:10.1109/BIBM55620.2022.9995477

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks

Hasitha Kuruwita, Ng Shu Kay, Alan Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke Haseler, Meghan McConnell, Ping Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Abstract

Electrocardiogram (ECG) signal analysis is widely used to diagnose various cardiac and non-cardiac diseases. Detecting abnormalities on ECG is critical for preventing the onset of life-threatening cardiac arrhythmias. This paper proposed a method based on deep convolutional neural network (DCNN) to detect abnormal heartbeats such as ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). The proposed model was trained and validated on two large-sample PhysioNet's MIT-BIH datasets. A separate test result showed overall accuracy of 96% on distinguishing three types of heartbeats VEB, SVEB, and other heartbeats which are not ectopic beat (NOTEB).

Original language	English
Title of host publication	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Editors	Donald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu
Publisher	IEEE
Pages	3535-3540
Number of pages	6
ISBN (Electronic)	978-1-6654-6819-0
DOIs	https://doi.org/10.1109/BIBM55620.2022.9995477
Publication status	Published - 2022
Event	2022 IEEE International Conference on Bioinformatics and Biomedicine - Las Vegas, USA & Changsha, China Duration: 6 Dec 2022 → 8 Dec 2022

Publication series

Name	Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

Conference

Conference	2022 IEEE International Conference on Bioinformatics and Biomedicine
Abbreviated title	BIBM
Period	6/12/22 → 8/12/22

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Kuruwita, H., Shu Kay, N., Liew, A., Richards, B., Ross, K., Kumar, K., Haseler, L., McConnell, M., & Zhang, P. (2022). Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. In D. Adjeroh, Q. Long, X. Shi, F. Guo, X. Hu, S. Aluru, G. Narasimhan, J. Wang, M. Kang, A. M. Mondal, & J. Liu (Eds.), 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3535-3540). (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). IEEE. https://doi.org/10.1109/BIBM55620.2022.9995477

Kuruwita, Hasitha ; Shu Kay, Ng ; Liew, Alan et al. / Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). editor / Donald Adjeroh ; Qi Long ; Xinghua Shi ; Fei Guo ; Xiaohua Hu ; Srinivas Aluru ; Giri Narasimhan ; Jianxin Wang ; Mingon Kang ; Ananda M. Mondal ; Jin Liu. IEEE, 2022. pp. 3535-3540 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

@inproceedings{7d28b0aa6e87444195bb5cb7df8f022a,

title = "Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks",

abstract = "Electrocardiogram (ECG) signal analysis is widely used to diagnose various cardiac and non-cardiac diseases. Detecting abnormalities on ECG is critical for preventing the onset of life-threatening cardiac arrhythmias. This paper proposed a method based on deep convolutional neural network (DCNN) to detect abnormal heartbeats such as ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). The proposed model was trained and validated on two large-sample PhysioNet's MIT-BIH datasets. A separate test result showed overall accuracy of 96% on distinguishing three types of heartbeats VEB, SVEB, and other heartbeats which are not ectopic beat (NOTEB).",

author = "Hasitha Kuruwita and {Shu Kay}, Ng and Alan Liew and Brent Richards and Kelvin Ross and Kuldeep Kumar and Luke Haseler and Meghan McConnell and Ping Zhang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM ; Conference date: 06-12-2022 Through 08-12-2022",

year = "2022",

doi = "10.1109/BIBM55620.2022.9995477",

language = "English",

series = "Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022",

publisher = "IEEE",

pages = "3535--3540",

editor = "Donald Adjeroh and Qi Long and Xinghua Shi and Fei Guo and Xiaohua Hu and Srinivas Aluru and Giri Narasimhan and Jianxin Wang and Mingon Kang and Mondal, {Ananda M.} and Jin Liu",

booktitle = "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",

}

Kuruwita, H, Shu Kay, N, Liew, A, Richards, B, Ross, K, Kumar, K, Haseler, L, McConnell, M & Zhang, P 2022, Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. in D Adjeroh, Q Long, X Shi, F Guo, X Hu, S Aluru, G Narasimhan, J Wang, M Kang, AM Mondal & J Liu (eds), 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, IEEE, pp. 3535-3540, 2022 IEEE International Conference on Bioinformatics and Biomedicine, 6/12/22. https://doi.org/10.1109/BIBM55620.2022.9995477

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. / Kuruwita, Hasitha; Shu Kay, Ng; Liew, Alan et al.
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). ed. / Donald Adjeroh; Qi Long; Xinghua Shi; Fei Guo; Xiaohua Hu; Srinivas Aluru; Giri Narasimhan; Jianxin Wang; Mingon Kang; Ananda M. Mondal; Jin Liu. IEEE, 2022. p. 3535-3540 (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

TY - GEN

T1 - Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks

AU - Kuruwita, Hasitha

AU - Shu Kay, Ng

AU - Liew, Alan

AU - Richards, Brent

AU - Ross, Kelvin

AU - Kumar, Kuldeep

AU - Haseler, Luke

AU - McConnell, Meghan

AU - Zhang, Ping

PY - 2022

Y1 - 2022

N2 - Electrocardiogram (ECG) signal analysis is widely used to diagnose various cardiac and non-cardiac diseases. Detecting abnormalities on ECG is critical for preventing the onset of life-threatening cardiac arrhythmias. This paper proposed a method based on deep convolutional neural network (DCNN) to detect abnormal heartbeats such as ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). The proposed model was trained and validated on two large-sample PhysioNet's MIT-BIH datasets. A separate test result showed overall accuracy of 96% on distinguishing three types of heartbeats VEB, SVEB, and other heartbeats which are not ectopic beat (NOTEB).

AB - Electrocardiogram (ECG) signal analysis is widely used to diagnose various cardiac and non-cardiac diseases. Detecting abnormalities on ECG is critical for preventing the onset of life-threatening cardiac arrhythmias. This paper proposed a method based on deep convolutional neural network (DCNN) to detect abnormal heartbeats such as ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB). The proposed model was trained and validated on two large-sample PhysioNet's MIT-BIH datasets. A separate test result showed overall accuracy of 96% on distinguishing three types of heartbeats VEB, SVEB, and other heartbeats which are not ectopic beat (NOTEB).

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U2 - 10.1109/BIBM55620.2022.9995477

DO - 10.1109/BIBM55620.2022.9995477

M3 - Conference contribution

T3 - Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

SP - 3535

EP - 3540

BT - 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A2 - Adjeroh, Donald

A2 - Long, Qi

A2 - Shi, Xinghua

A2 - Guo, Fei

A2 - Hu, Xiaohua

A2 - Aluru, Srinivas

A2 - Narasimhan, Giri

A2 - Wang, Jianxin

A2 - Kang, Mingon

A2 - Mondal, Ananda M.

A2 - Liu, Jin

PB - IEEE

T2 - 2022 IEEE International Conference on Bioinformatics and Biomedicine

Y2 - 6 December 2022 through 8 December 2022

ER -

Kuruwita H, Shu Kay N, Liew A, Richards B, Ross K, Kumar K et al. Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. In Adjeroh D, Long Q, Shi X, Guo F, Hu X, Aluru S, Narasimhan G, Wang J, Kang M, Mondal AM, Liu J, editors, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE. 2022. p. 3535-3540. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022). doi: 10.1109/BIBM55620.2022.9995477

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks

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