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

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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, 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
Title of host publicationProceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012
Pages181-184
Publication statusPublished - 2012
MoE publication typeA4 Article in a conference publication
Event7th International Workshop on Biosignal Interpretation, BSI2012 - Como, Italy
Duration: 2 Jul 20124 Jul 2012

Conference

Conference7th International Workshop on Biosignal Interpretation, BSI2012
Abbreviated titleBSI2012
CountryItaly
CityComo
Period2/07/124/07/12

Fingerprint

Exercise Therapy
Exercise
Equipment and Supplies
Coronary Artery Disease
Electrocardiography
Rehabilitation
Heart Rate
Sensitivity and Specificity

Keywords

  • CAD
  • exercise monitoring
  • rehabilitation
  • wearable biosignal monitoring

Cite this

Runtti, H., Honka, A., Chouvarda, I., Michail, E., Kokonozi, A., Merilahti, J., ... van Gils, M. (2012). Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. In Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012 (pp. 181-184)
Runtti, Hilkka ; Honka, Anita ; Chouvarda, I. ; Michail, E. ; Kokonozi, A. ; Merilahti, Juho ; Pärkkä, Juha ; van Gils, Mark. / Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012. 2012. pp. 181-184
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title = "Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation",
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, 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",
keywords = "CAD, exercise monitoring, rehabilitation, wearable biosignal monitoring",
author = "Hilkka Runtti and Anita Honka and I. Chouvarda and E. Michail and A. Kokonozi and Juho Merilahti and Juha P{\"a}rkk{\"a} and {van Gils}, Mark",
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Runtti, H, Honka, A, Chouvarda, I, Michail, E, Kokonozi, A, Merilahti, J, Pärkkä, J & van Gils, M 2012, Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. in Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012. pp. 181-184, 7th International Workshop on Biosignal Interpretation, BSI2012, Como, Italy, 2/07/12.

Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. / Runtti, Hilkka; Honka, Anita; Chouvarda, I.; Michail, E.; Kokonozi, A.; Merilahti, Juho; Pärkkä, Juha; van Gils, Mark.

Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012. 2012. p. 181-184.

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

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AU - Runtti, Hilkka

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AU - Kokonozi, A.

AU - Merilahti, Juho

AU - Pärkkä, Juha

AU - van Gils, Mark

N1 - Project code: 18982 EU_HeartCycle

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N2 - 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, 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

AB - 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, 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

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Runtti H, Honka A, Chouvarda I, Michail E, Kokonozi A, Merilahti J et al. Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. In Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012. 2012. p. 181-184