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.
|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|
|Number of pages||4|
|Publication status||Published - 13 Oct 2016|
|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
|Conference||38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)|
|Abbreviated title||EMBC 2016|
|Period||16/08/16 → 20/08/16|
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© 2016 IEEE.