Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation

Hilkka Runtti (Corresponding Author), Anita Honka, I. Chouvarda, E. Michail, A. Kokonozi, Juho Merilahti, Juha Pärkkä, Mark van Gils

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    This paper describes biosignal interpretation methods in an application to support a CAD (Coronary Artery Disease) patient during rehabilitation. The methods use physiological signals from a wearable device (embedded in a shirt) to guide the patient through safe and beneficial exercise. The paper describes the different design considerations of the processing chain: signal quality verification; on-line analysis and feedback; recovery analysis and exercise summary analysis. The system components have been validated: differences in heart rate between the device and the reference were small, electrocardiograph (ECG) signal quality estimation algorithm had high sensitivity and specificity, and the on-line feedback algorithms perform well enough for use during exercise in practice. A study regarding the clinical usefulness of the overall system is carried in 2012 in the context of the EU project Heartcycle.
    Original languageEnglish
    Pages (from-to)20-25
    Number of pages6
    JournalInternational Journal of Bioelectromagnetism
    Volume15
    Issue number1
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

    Keywords

    • coronary artery disease
    • exercise monitoring
    • rehabilitation
    • wearable biosignal processing

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