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Reducing motion artifacts for robust QRS detection in capacitive sensor arrays

Published: 26 October 2011 Publication History

Abstract

Non-contact capacitive ECG measurements (cECG) have applications in various unobtrusive and ubiquitous systems. However, cECG signals are frequently corrupted by interference and motion artifacts. In this work array processing methods, such as blind source separation, were used to reduce the impact of motion artifacts on QRS detection. The capacitive sensor array was integrated in a bed mattress and covered with two insulating sheets. The array processing methods were compared in terms of their QRS detection error rates (De). Results of our study with five healthy subjects in different recording conditions showed that, when using array processing methods, QRS detection performance during body motion can be substantially improved (De reduced from 0.46 on raw sensor data to 0.06 for a channel difference method). We concluded that array processing is a promising approach to achieve motion-resistant QRS detection and thus suggest wider use of capacitive sensor arrays.

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    cover image ACM Other conferences
    ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
    October 2011
    949 pages
    ISBN:9781450309134
    DOI:10.1145/2093698
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
    • River Publishers: River Publishers
    • CTTC: Technological Center for Telecommunications of Catalonia
    • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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    Published: 26 October 2011

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    View all
    • (2022)Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health MonitoringBiosensors10.3390/bios1208063012:8(630)Online publication date: 11-Aug-2022
    • (2021)Wearable Multiple Modality Bio-Signal Recording and Processing on Chip: A ReviewIEEE Sensors Journal10.1109/JSEN.2020.301611521:2(1108-1123)Online publication date: 15-Jan-2021
    • (2020)Car Seats with Capacitive ECG Electrodes Can Detect Cardiac Pacemaker SpikesSensors10.3390/s2021628820:21(6288)Online publication date: 4-Nov-2020
    • (2019)Capacitive multi-electrode array with real-time electrode selection for unobtrusive ECG & BIOZ monitoring2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2019.8857150(5621-5624)Online publication date: Jul-2019
    • (2017)Closed-Loop Control of Humidification for Artifact Reduction in Capacitive ECG MeasurementsIEEE Transactions on Biomedical Circuits and Systems10.1109/TBCAS.2016.261309711:2(300-313)Online publication date: Apr-2017
    • (2016)Capacitive Biopotential Measurement for Electrophysiological Signal Acquisition: A ReviewIEEE Sensors Journal10.1109/JSEN.2016.251939216:9(2832-2853)Online publication date: May-2016

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