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

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 proceeding › Conference article in proceedings › Scientific › peer-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 language	English
Title of host publication	Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012
Pages	181-184
Publication status	Published - 2012
MoE publication type	A4 Article in a conference publication
Event	7th International Workshop on Biosignal Interpretation, BSI2012 - Como, Italy Duration: 2 Jul 2012 → 4 Jul 2012

Conference

Conference	7th International Workshop on Biosignal Interpretation, BSI2012
Abbreviated title	BSI2012
Country	Italy
City	Como
Period	2/07/12 → 4/07/12

Keywords

CAD
exercise monitoring
rehabilitation
wearable biosignal monitoring

Access to Document

http://www.biomed.polimi.it/BSI2012/BSIarticles/00960098.pdf

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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) http://www.biomed.polimi.it/BSI2012/BSIarticles/00960098.pdf

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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",

note = "Project code: 18982 EU_HeartCycle; 7th International Workshop on Biosignal Interpretation, BSI2012, BSI2012 ; Conference date: 02-07-2012 Through 04-07-2012",

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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. <http://www.biomed.polimi.it/BSI2012/BSIarticles/00960098.pdf>

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 proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Runtti, Hilkka

AU - Honka, Anita

AU - Chouvarda, I.

AU - Michail, E.

AU - Kokonozi, A.

AU - Merilahti, Juho

AU - Pärkkä, Juha

AU - van Gils, Mark

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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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