ECG monitoring of cardiac patients at home: experiences with scenarios and signal processing methods

Juho Merilahti, Mark van Gils, Tuula Petäkoski-Hult, Outi Kenttä, Esko Hyvärinen, Jari Hyttinen, Harri Kailanto

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    1 Citation (Scopus)

    Abstract

    Controlled cardiac rehabilitation has shown to be an effective and cost-efficient form of treatment. However, it could be supported by technology. We used a scenario-based method to approach the issue and to consider it from the technical perspective. We also tried out signal processing methods in rejection of artifacts and quantization of ECG features from ECG data collected with two different portable recorders. For example correct R-peak detection rates ranged between 98.2% and 99.9% with 5 different tested R-peak detection routines. Conclusions: comments resulted from the scenario work was educative and simple ECG signal processing results promising.
    Original languageEnglish
    Title of host publication2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages281 - 284
    ISBN (Print)978-963-9799-15-8
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA4 Article in a conference publication

    Keywords

    • ECG
    • signal processing
    • scenario evaluation
    • cardiac patient

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