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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

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.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers
Pages	521-524
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7590754
Publication status	Published - 18 Oct 2016
Externally published	Yes
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Disney’s Contemporary Resort , Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016 Conference number: 38 http://embc.embs.org/2016/

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Abbreviated title	EMBC 2016
Country/Territory	United States
City	Orlando
Period	16/08/16 → 20/08/16
Internet address	http://embc.embs.org/2016/

Access to Document

10.1109/EMBC.2016.7590754

Cite this

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 (pp. 521-524). Article 7590754 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2016.7590754

@inproceedings{fe158694b6794d5bae5158e639c7d143,

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.",

author = "L. Iozzia and L. Cerina and L.T. Mainardi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

year = "2016",

month = oct,

day = "18",

doi = "10.1109/EMBC.2016.7590754",

language = "English",

pages = "521--524",

booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

url = "http://embc.embs.org/2016/",

}

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, pp. 521-524, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, Florida, United States, 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. p. 521-524 7590754.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Assessment of beat-to-beat heart rate detection method using a camera as contactless sensor

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.

UR - http://www.scopus.com/inward/record.url?scp=85009073057&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590754

DO - 10.1109/EMBC.2016.7590754

M3 - Conference contribution

C2 - 28268384

AN - SCOPUS:85009073057

SP - 521

EP - 524

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

Y2 - 16 August 2016 through 20 August 2016

ER -

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

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this