Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor

L. Iozzia; L. Cerina; L.T. Mainardi

doi:10.1109/EMBC.2016.7590754

Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor

L. Iozzia, L. Cerina, L.T. Mainardi

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

11 Citaten (Scopus)

Samenvatting

Video photoplethysmography (videoPPG) has emerged as area of great interest thanks to the possibility of remotely assessment of cardiovascular parameters, as heart rate (HR), respiration rate (RR) and heart rate variability (HRV). The present article proposes a fully automated method based on chrominance model, that selects for each subject the best region of interest (ROI) to detect and evaluate the accuracy of beat detection and interbeat intervals (IBI) measurements. The experimental recordings were conducted on 26 subjects which underwent a rest-to-stand maneuver. The results show that the accuracy of beat detection is slightly better during supine position (95%) compared to the standing one (92%), due to the maintenance of the balance that introduces larger motion artifact in the signal dynamic. The error in the measurement (expressed as mean±sd) of instantaneous heart rate is of +0.04 ±3.29 bpm in rest and +0.01±4.26 bpm in stand.

Originele taal-2	Engels
Titel	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	521-524
Aantal pagina's	4
ISBN van elektronische versie	9781457702204
DOI's	https://doi.org/10.1109/EMBC.2016.7590754
Status	Gepubliceerd - 18 okt. 2016
Extern gepubliceerd	Ja
Evenement	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Disney’s Contemporary Resort , Orlando, Verenigde Staten van Amerika Duur: 16 aug. 2016 → 20 aug. 2016 Congresnummer: 38 http://embc.embs.org/2016/

Congres

Congres	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Verkorte titel	EMBC 2016
Land/Regio	Verenigde Staten van Amerika
Stad	Orlando
Periode	16/08/16 → 20/08/16
Internet adres	http://embc.embs.org/2016/

Bibliografische nota

Publisher Copyright:
© 2016 IEEE.

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10.1109/EMBC.2016.7590754

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Citeer dit

Iozzia, L., Cerina, L., & Mainardi, L. T. (2016). Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (blz. 521-524). Artikel 7590754 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2016.7590754

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title = "Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor",

abstract = "Video photoplethysmography (videoPPG) has emerged as area of great interest thanks to the possibility of remotely assessment of cardiovascular parameters, as heart rate (HR), respiration rate (RR) and heart rate variability (HRV). The present article proposes a fully automated method based on chrominance model, that selects for each subject the best region of interest (ROI) to detect and evaluate the accuracy of beat detection and interbeat intervals (IBI) measurements. The experimental recordings were conducted on 26 subjects which underwent a rest-to-stand maneuver. The results show that the accuracy of beat detection is slightly better during supine position (95%) compared to the standing one (92%), due to the maintenance of the balance that introduces larger motion artifact in the signal dynamic. The error in the measurement (expressed as mean±sd) of instantaneous heart rate is of +0.04 ±3.29 bpm in rest and +0.01±4.26 bpm in stand.",

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Iozzia, L, Cerina, L & Mainardi, LT 2016, Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7590754, Institute of Electrical and Electronics Engineers, blz. 521-524, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, Florida, Verenigde Staten van Amerika, 16/08/16. https://doi.org/10.1109/EMBC.2016.7590754

Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor. / Iozzia, L.; Cerina, L.; Mainardi, L.T.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers, 2016. blz. 521-524 7590754.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

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AU - Iozzia, L.

AU - Cerina, L.

AU - Mainardi, L.T.

N1 - Conference code: 38

PY - 2016/10/18

Y1 - 2016/10/18

N2 - Video photoplethysmography (videoPPG) has emerged as area of great interest thanks to the possibility of remotely assessment of cardiovascular parameters, as heart rate (HR), respiration rate (RR) and heart rate variability (HRV). The present article proposes a fully automated method based on chrominance model, that selects for each subject the best region of interest (ROI) to detect and evaluate the accuracy of beat detection and interbeat intervals (IBI) measurements. The experimental recordings were conducted on 26 subjects which underwent a rest-to-stand maneuver. The results show that the accuracy of beat detection is slightly better during supine position (95%) compared to the standing one (92%), due to the maintenance of the balance that introduces larger motion artifact in the signal dynamic. The error in the measurement (expressed as mean±sd) of instantaneous heart rate is of +0.04 ±3.29 bpm in rest and +0.01±4.26 bpm in stand.

AB - Video photoplethysmography (videoPPG) has emerged as area of great interest thanks to the possibility of remotely assessment of cardiovascular parameters, as heart rate (HR), respiration rate (RR) and heart rate variability (HRV). The present article proposes a fully automated method based on chrominance model, that selects for each subject the best region of interest (ROI) to detect and evaluate the accuracy of beat detection and interbeat intervals (IBI) measurements. The experimental recordings were conducted on 26 subjects which underwent a rest-to-stand maneuver. The results show that the accuracy of beat detection is slightly better during supine position (95%) compared to the standing one (92%), due to the maintenance of the balance that introduces larger motion artifact in the signal dynamic. The error in the measurement (expressed as mean±sd) of instantaneous heart rate is of +0.04 ±3.29 bpm in rest and +0.01±4.26 bpm in stand.

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Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor

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