Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

Roland Hostettler; Tuomas Lumikari; Lauri Palva; Tuomo Nieminen; Simo Särkkä

doi:10.23919/ICIF.2018.8455698

Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

Roland Hostettler, Tuomas Lumikari, Lauri Palva, Tuomo Nieminen, Simo Särkkä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

9 Citations (Scopus)

559 Downloads (Pure)

Abstract

Electrocardiography (ECG) using lightweight and inexpensive ambulatory ECG devices makes it possible to monitor patients during their daily activities and can give important insight in arrhythmias and other cardiac diseases. However, everyday activities cause several kinds of motion artifacts which deteriorate the ECG quality and thus complicate both automated and manual ECG analysis. In this paper, we discuss some of the challenges associated with long-term ambulatory ECG and propose a baseline wander compensation algorithm based on inertial measurement units (IMUs) attached to each ECG electrode. The IMUs are used for estimating the local electrode motion which in turn is used as the reference signal for baseline wander reduction. We evaluate the proposed algorithm on data gathered in clinical trials and show that the baseline wander is successfully removed, without compromising the ECG's morphology.

Original language	English
Title of host publication	Proceedings of the 21st International Conference on Information Fusion, FUSION 2018
Publisher	IEEE
Pages	780-787
Number of pages	8
ISBN (Print)	9780996452762
DOIs	https://doi.org/10.23919/ICIF.2018.8455698
Publication status	Published - 5 Sept 2018
MoE publication type	A4 Conference publication
Event	International Conference on Information Fusion - Cambridge, United Kingdom Duration: 10 Jul 2018 → 13 Jul 2018 Conference number: 21

Conference

Conference	International Conference on Information Fusion
Abbreviated title	FUSION
Country/Territory	United Kingdom
City	Cambridge
Period	10/07/2018 → 13/07/2018

Keywords

biomedical signal processing
Electrocardiography
inertial measurement units
Kalman filters
signal reconstruction

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10.23919/ICIF.2018.8455698

2018-fusion-ecgAccepted author manuscript, 1.52 MB

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title = "Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering",

abstract = "Electrocardiography (ECG) using lightweight and inexpensive ambulatory ECG devices makes it possible to monitor patients during their daily activities and can give important insight in arrhythmias and other cardiac diseases. However, everyday activities cause several kinds of motion artifacts which deteriorate the ECG quality and thus complicate both automated and manual ECG analysis. In this paper, we discuss some of the challenges associated with long-term ambulatory ECG and propose a baseline wander compensation algorithm based on inertial measurement units (IMUs) attached to each ECG electrode. The IMUs are used for estimating the local electrode motion which in turn is used as the reference signal for baseline wander reduction. We evaluate the proposed algorithm on data gathered in clinical trials and show that the baseline wander is successfully removed, without compromising the ECG's morphology.",

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author = "Roland Hostettler and Tuomas Lumikari and Lauri Palva and Tuomo Nieminen and Simo S{\"a}rkk{\"a}",

year = "2018",

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booktitle = "Proceedings of the 21st International Conference on Information Fusion, FUSION 2018",

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Hostettler, R, Lumikari, T, Palva, L, Nieminen, T & Särkkä, S 2018, Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering. in Proceedings of the 21st International Conference on Information Fusion, FUSION 2018., 8455698, IEEE, pp. 780-787, International Conference on Information Fusion, Cambridge, United Kingdom, 10/07/2018. https://doi.org/10.23919/ICIF.2018.8455698

Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering. / Hostettler, Roland; Lumikari, Tuomas; Palva, Lauri et al.
Proceedings of the 21st International Conference on Information Fusion, FUSION 2018. IEEE, 2018. p. 780-787 8455698.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

AU - Hostettler, Roland

AU - Lumikari, Tuomas

AU - Palva, Lauri

AU - Nieminen, Tuomo

AU - Särkkä, Simo

N1 - Conference code: 21

PY - 2018/9/5

Y1 - 2018/9/5

N2 - Electrocardiography (ECG) using lightweight and inexpensive ambulatory ECG devices makes it possible to monitor patients during their daily activities and can give important insight in arrhythmias and other cardiac diseases. However, everyday activities cause several kinds of motion artifacts which deteriorate the ECG quality and thus complicate both automated and manual ECG analysis. In this paper, we discuss some of the challenges associated with long-term ambulatory ECG and propose a baseline wander compensation algorithm based on inertial measurement units (IMUs) attached to each ECG electrode. The IMUs are used for estimating the local electrode motion which in turn is used as the reference signal for baseline wander reduction. We evaluate the proposed algorithm on data gathered in clinical trials and show that the baseline wander is successfully removed, without compromising the ECG's morphology.

AB - Electrocardiography (ECG) using lightweight and inexpensive ambulatory ECG devices makes it possible to monitor patients during their daily activities and can give important insight in arrhythmias and other cardiac diseases. However, everyday activities cause several kinds of motion artifacts which deteriorate the ECG quality and thus complicate both automated and manual ECG analysis. In this paper, we discuss some of the challenges associated with long-term ambulatory ECG and propose a baseline wander compensation algorithm based on inertial measurement units (IMUs) attached to each ECG electrode. The IMUs are used for estimating the local electrode motion which in turn is used as the reference signal for baseline wander reduction. We evaluate the proposed algorithm on data gathered in clinical trials and show that the baseline wander is successfully removed, without compromising the ECG's morphology.

KW - biomedical signal processing

KW - Electrocardiography

KW - inertial measurement units

KW - Kalman filters

KW - signal reconstruction

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M3 - Conference article in proceedings

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ER -

Motion Artifact Reduction in Ambulatory Electrocardiography Using Inertial Measurement Units and Kalman Filtering

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Keywords

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