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 proceedingConference contributionScientificpeer-review

9 Citations (Scopus)
382 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 languageEnglish
Title of host publicationProceedings of the 21st International Conference on Information Fusion, FUSION 2018
PublisherIEEE
Pages780-787
Number of pages8
ISBN (Print)9780996452762
DOIs
Publication statusPublished - 5 Sep 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Information Fusion - Cambridge, United Kingdom
Duration: 10 Jul 201813 Jul 2018
Conference number: 21

Conference

ConferenceInternational Conference on Information Fusion
Abbreviated titleFUSION
Country/TerritoryUnited Kingdom
CityCambridge
Period10/07/201813/07/2018

Keywords

  • biomedical signal processing
  • Electrocardiography
  • inertial measurement units
  • Kalman filters
  • signal reconstruction

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