A Study on ECG Monitoring Embedded Systems

Jaehyuk Kim; Eunchan Kim; Yeunwoong Kyung; Haneul Ko

doi:10.1109/ICTC55196.2022.9952978

A Study on ECG Monitoring Embedded Systems

Jaehyuk Kim, Eunchan Kim, Yeunwoong Kyung, Haneul Ko

Electronic Engineering Program

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

2 Scopus citations

Abstract

The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.

Original language	English
Title of host publication	ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Accelerating Digital Transformation with ICT Innovation
Publisher	IEEE Computer Society
Pages	1671-1673
Number of pages	3
ISBN (Electronic)	9781665499392
DOIs	https://doi.org/10.1109/ICTC55196.2022.9952978
State	Published - 2022
Event	13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of Duration: 19 Oct 2022 → 21 Oct 2022

Publication series

Name	International Conference on ICT Convergence
Volume	2022-October
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/Territory	Korea, Republic of
City	Jeju Island
Period	19/10/22 → 21/10/22

Keywords

ECG
Embedded System
Holter
TinyML

Access to Document

10.1109/ICTC55196.2022.9952978

Cite this

Kim, J., Kim, E., Kyung, Y., & Ko, H. (2022). A Study on ECG Monitoring Embedded Systems. In ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation (pp. 1671-1673). (International Conference on ICT Convergence; Vol. 2022-October). IEEE Computer Society. https://doi.org/10.1109/ICTC55196.2022.9952978

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title = "A Study on ECG Monitoring Embedded Systems",

abstract = "The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.",

keywords = "ECG, Embedded System, Holter, TinyML",

author = "Jaehyuk Kim and Eunchan Kim and Yeunwoong Kyung and Haneul Ko",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; Conference date: 19-10-2022 Through 21-10-2022",

year = "2022",

doi = "10.1109/ICTC55196.2022.9952978",

language = "English",

series = "International Conference on ICT Convergence",

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Kim, J, Kim, E, Kyung, Y & Ko, H 2022, A Study on ECG Monitoring Embedded Systems. in ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. International Conference on ICT Convergence, vol. 2022-October, IEEE Computer Society, pp. 1671-1673, 13th International Conference on Information and Communication Technology Convergence, ICTC 2022, Jeju Island, Korea, Republic of, 19/10/22. https://doi.org/10.1109/ICTC55196.2022.9952978

A Study on ECG Monitoring Embedded Systems. / Kim, Jaehyuk; Kim, Eunchan; Kyung, Yeunwoong et al.
ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence: Accelerating Digital Transformation with ICT Innovation. IEEE Computer Society, 2022. p. 1671-1673 (International Conference on ICT Convergence; Vol. 2022-October).

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

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AB - The technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. This is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. This means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. Therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems.

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A Study on ECG Monitoring Embedded Systems

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