Comparative study of T-amplitude features for fitness monitoring using the ePatch® ECG recorder

Julia Rosemary Thorpe, Trine Saida, Jesper Mehlsen, Anne-Birgitte Mehlsen, Henning Langberg, Karsten Hoppe, Helge Bjarup Dissing Sørensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This study investigates ECG features, focusing on T-wave amplitude, from a wearable ECG device as a potential method for fitness monitoring in exercise rehabilitation. An automatic T-peak detection algorithm is presented that uses local baseline detection to overcome baseline drift without the need for preprocessing, and offers adequate performance on data recorded in noisy environments. The algorithm is applied to 24 hour data recordings from two subject groups with different physical activity histories. Results indicate that, while mean heart rate (HR) differs most significantly between the groups, T-amplitude features could be useful depending on the disparities in fitness level, and require further investigation on an individual basis.
    Original languageEnglish
    Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    PublisherIEEE
    Publication date2014
    Pages4172-4175
    ISBN (Print)978-1-4244-7929-0
    DOIs
    Publication statusPublished - 2014
    Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
    Duration: 26 Aug 201430 Aug 2014
    Conference number: 36
    http://embc.embs.org/2014/

    Conference

    Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Number36
    Country/TerritoryUnited States
    CityChicago, IL
    Period26/08/201430/08/2014
    Internet address

    Keywords

    • Bioengineering
    • Atmospheric measurements
    • Electrocardiography
    • Feature extraction
    • Heart rate
    • Particle measurements
    • Training
    • Transforms

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