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

  • Hilkka Runtti*
  • , Anita Honka
  • , Ionna Chouvarda
  • , Emmanouil Michail
  • , Athina Kokonozi
  • , Juho Merilahti
  • , Juha Pärkkä
  • , Mark van Gils
  • *Corresponding author for this work

    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
    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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