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hitoeCap: wearable EMG sensor for monitoring masticatory muscles with PEDOT-PSS textile electrodes

Published: 11 September 2017 Publication History

Abstract

We present "hitoeCap", which has Poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT-PSS) textile electrodes for measuring electromyography (EMG) of the masticatory muscles. Masticatory muscle activity is relevant to several daily activities such as diet, sleep bruxism, and human motor control. Our aim is to leverage continuous EMG data of the masticatory muscles for monitoring daily activities. For motion artifact reduction, which is a major problem for measuring EMG with textile electrodes, we propose a new algorithm based on kinesiology by utilizing a correlation coefficient between the root mean square of the right side EMG and that of the left side EMG. We have developed a hitoeCap prototype and conducted experiments to verify the usability of the PEDOT-PSS electrodes and the feasibility of our proposed algorithm.

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    cover image ACM Conferences
    ISWC '17: Proceedings of the 2017 ACM International Symposium on Wearable Computers
    September 2017
    276 pages
    ISBN:9781450351881
    DOI:10.1145/3123021
    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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    Publication History

    Published: 11 September 2017

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    Author Tags

    1. PEDOT-PSS electrodes
    2. cap
    3. e-textiles
    4. electromyography
    5. lifelog
    6. masticatory muscle

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    Cited By

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    • (2024)Clothing suggestions based on comfort extracted from physiological and emotional parametersInternational Journal of Clothing Science and Technology10.1108/IJCST-10-2022-0141Online publication date: 4-Jul-2024
    • (2024)Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological IntegrationACS Sensors10.1021/acssensors.4c006049:9(4380-4401)Online publication date: 6-Sep-2024
    • (2024)Fabrication of Biomedical Electrodes Using Printing ApproachesBiomedical Materials & Devices10.1007/s44174-024-00176-23:1(127-152)Online publication date: 22-Apr-2024
    • (2023)A review on the recent developments in design and integration of electromyography textile electrodes for biosignal monitoringJournal of Industrial Textiles10.1177/1528083723117506253Online publication date: 17-May-2023
    • (2023)Smart e-textiles for personalized healthcare diagnosis and managementPROCEEDING OF INTERNATIONAL CONFERENCE ON ENERGY, MANUFACTURE, ADVANCED MATERIAL AND MECHATRONICS 202110.1063/5.0126237(040007)Online publication date: 2023
    • (2022)Electrodeless Heart and Respiratory Rate Estimation during Sleep Using a Single Fabric Band and Event-Based Edge ProcessingSensors10.3390/s2217668922:17(6689)Online publication date: 4-Sep-2022
    • (2022)Recent Trends, Construction, and Applications of Smart Textiles and Clothing for Monitoring of Health Activity: A Comprehensive Multidisciplinary ReviewIEEE Reviews in Biomedical Engineering10.1109/RBME.2020.304362315(36-60)Online publication date: 2022
    • (2022)Surface Electromyography as a Natural Human–Machine Interface: A ReviewIEEE Sensors Journal10.1109/JSEN.2022.316598822:10(9198-9214)Online publication date: 15-May-2022
    • (2021)Textile-Based Sensors for Biosignal Detection and MonitoringSensors10.3390/s2118604221:18(6042)Online publication date: 9-Sep-2021
    • (2021)The E-Textile for Biomedical Applications: A Systematic Review of LiteratureDiagnostics10.3390/diagnostics1112226311:12(2263)Online publication date: 3-Dec-2021
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