Abstract
| 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 |
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Keywords
- CAD
- exercise monitoring
- rehabilitation
- wearable biosignal monitoring
Cite this
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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
TY - GEN
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 - 2012
Y1 - 2012
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
KW - CAD
KW - exercise monitoring
KW - rehabilitation
KW - wearable biosignal monitoring
M3 - Conference article in proceedings
SP - 181
EP - 184
BT - Proceedings of the 7th International Workshop on Biosignal Interpretation, BSI2012
ER -