A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts

Taeryoung Seol; Sehwan Lee; Junghyup Lee

doi:10.1109/ISOCC.2018.8649897

A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts

Taeryoung Seol
, Sehwan Lee
, Junghyup Lee

Department of Electrical Engineering and Computer Science

Integrated Nano-Systems Laboratory

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

6 Scopus citations

Abstract

This study proposes a wearable system that can measure electrocardiogram (ECG) signals reliably in an environment with high motion induced noise. This system employs a motion artifact extraction method based on a triple-axis accelerometer attached to each electrode independently to remove motion artifact from ECG signals with high performance. Recursive Least Square (RLS) and Least Mean Square (LMS) algorithms remove extracted noise from the source signals, thereby obtaining a mean square error (MSE) of 0.0166 when using RLS and 0.0160 when using LMS. This means that the performance improved respectively by approximately 5.1% and 8.6% compared to that of the recently developed ECG monitoring system.

Original language	English
Title of host publication	Proceedings - International SoC Design Conference 2018, ISOCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-242
Number of pages	2
ISBN (Electronic)	9781538679609
DOIs	https://doi.org/10.1109/ISOCC.2018.8649897
State	Published - 2 Jul 2018
Event	15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of Duration: 12 Nov 2018 → 15 Nov 2018

Publication series

Name	Proceedings - International SoC Design Conference 2018, ISOCC 2018

Conference

Conference	15th International SoC Design Conference, ISOCC 2018
Country/Territory	Korea, Republic of
City	Daegu
Period	12/11/18 → 15/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Adaptive filtering
Electrocardiogram(ECG)
Mean Squared Error(MSE)
Motion artifact

Access to Document

10.1109/ISOCC.2018.8649897

Cite this

Seol, T., Lee, S., & Lee, J. (2018). A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts. In Proceedings - International SoC Design Conference 2018, ISOCC 2018 (pp. 241-242). Article 8649897 (Proceedings - International SoC Design Conference 2018, ISOCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC.2018.8649897

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title = "A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts",

abstract = "This study proposes a wearable system that can measure electrocardiogram (ECG) signals reliably in an environment with high motion induced noise. This system employs a motion artifact extraction method based on a triple-axis accelerometer attached to each electrode independently to remove motion artifact from ECG signals with high performance. Recursive Least Square (RLS) and Least Mean Square (LMS) algorithms remove extracted noise from the source signals, thereby obtaining a mean square error (MSE) of 0.0166 when using RLS and 0.0160 when using LMS. This means that the performance improved respectively by approximately 5.1\% and 8.6\% compared to that of the recently developed ECG monitoring system.",

keywords = "Adaptive filtering, Electrocardiogram(ECG), Mean Squared Error(MSE), Motion artifact",

author = "Taeryoung Seol and Sehwan Lee and Junghyup Lee",

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doi = "10.1109/ISOCC.2018.8649897",

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Seol, T, Lee, S & Lee, J 2018, A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts. in Proceedings - International SoC Design Conference 2018, ISOCC 2018., 8649897, Proceedings - International SoC Design Conference 2018, ISOCC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 241-242, 15th International SoC Design Conference, ISOCC 2018, Daegu, Korea, Republic of, 12/11/18. https://doi.org/10.1109/ISOCC.2018.8649897

A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts. / Seol, Taeryoung; Lee, Sehwan; Lee, Junghyup.
Proceedings - International SoC Design Conference 2018, ISOCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 241-242 8649897 (Proceedings - International SoC Design Conference 2018, ISOCC 2018).

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

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N2 - This study proposes a wearable system that can measure electrocardiogram (ECG) signals reliably in an environment with high motion induced noise. This system employs a motion artifact extraction method based on a triple-axis accelerometer attached to each electrode independently to remove motion artifact from ECG signals with high performance. Recursive Least Square (RLS) and Least Mean Square (LMS) algorithms remove extracted noise from the source signals, thereby obtaining a mean square error (MSE) of 0.0166 when using RLS and 0.0160 when using LMS. This means that the performance improved respectively by approximately 5.1% and 8.6% compared to that of the recently developed ECG monitoring system.

AB - This study proposes a wearable system that can measure electrocardiogram (ECG) signals reliably in an environment with high motion induced noise. This system employs a motion artifact extraction method based on a triple-axis accelerometer attached to each electrode independently to remove motion artifact from ECG signals with high performance. Recursive Least Square (RLS) and Least Mean Square (LMS) algorithms remove extracted noise from the source signals, thereby obtaining a mean square error (MSE) of 0.0166 when using RLS and 0.0160 when using LMS. This means that the performance improved respectively by approximately 5.1% and 8.6% compared to that of the recently developed ECG monitoring system.

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KW - Mean Squared Error(MSE)

KW - Motion artifact

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A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts

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