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

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

Keywords

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

Cite this

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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, 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.",
keywords = "coronary artery disease, exercise monitoring, rehabilitation, wearable biosignal processing",
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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pages = "20--25",
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Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation. / Runtti, Hilkka (Corresponding Author); Honka, Anita; Chouvarda, I.; Michail, E.; Kokonozi, A.; Merilahti, Juho; Pärkkä, Juha; van Gils, Mark.

In: International Journal of Bioelectromagnetism, Vol. 15, No. 1, 2013, p. 20-25.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Biosignal processing methods to guide cardiac patients to perform safe and beneficial exercise for rehabilitation

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

N1 - Project code: 18982 - EU_HeartCycle

PY - 2013

Y1 - 2013

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, 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.

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, 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.

KW - coronary artery disease

KW - exercise monitoring

KW - rehabilitation

KW - wearable biosignal processing

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EP - 25

JO - International Journal of Bioelectromagnetism

JF - International Journal of Bioelectromagnetism

SN - 1456-7857

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