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 journalArticle


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
Issue number1
Publication statusPublished - 2013
MoE publication typeA1 Journal article-refereed



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

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