Details

Title

Distant Measurement of Plethysmographic Signal in Various Lighting Conditions Using Configurable Frame-Rate Camera

Journal title

Metrology and Measurement Systems

Yearbook

2016

Volume

vol. 23

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2016

Identifier

ISSN 0860-8229

References

Cardoso (1999), High - order contrasts for independent component analysis, Neural Comput, 11, 157, doi.org/10.1162/089976699300016863 ; Sugita (2015), Techniques for estimating blood pressure variation using video images Engineering in Medicine and Biology th Annual International Conference of the IEEE, Society, 13, 4218. ; Soleymani (2012), A multimodal database for affect recognition and implicit tagging IEEE Transactions on Affective, Computing, 3, 42. ; McDuff (2014), Remote detection of photoplethysmographic systolic and diastolic peaks using a digital camera Transactions on Biomedical, IEEE Engineering, 61, 2948, doi.org/10.1109/TBME.2014.2340991 ; Trzupek (2011), Intelligent image content semantic description for cardiac visualisations Engineering Applications of Artificial, Intelligence, 17, 1410. ; Mestha (2014), Towards continuous monitoring of pulse rate in neonatal intensive care unit with a webcam Engineering in Medicine and Biology th Annual International Conference of the IEEE, Society, 36, 3817. ; Sur (2014), Sensor noise measurement in the presence of a flickering illumination IEEE International Conference on, Image Processing, 1763. ; Poh (2010), Non - contact , automated cardiac pulse measurements using video imaging and blind source separation, Optics express, 18, 10762, doi.org/10.1364/OE.18.010762 ; Verkruysse (2008), Remote plethysmographic imaging using ambient light, Optics express, 1, 21434, doi.org/10.1364/OE.16.021434 ; Couderc (2015), Detection of atrial fibrillation using contactless facial video monitoring, Heart Rhythm, 8, 195, doi.org/10.1016/j.hrthm.2014.08.035 ; Tarassenko (2014), Non - contact video - based vital sign monitoring using ambient light and auto - regressive models, Physiological measurement, 35, 807, doi.org/10.1088/0967-3334/35/5/807 ; Balakrishnan (2013), Detecting pulse from head motions in video of the IEEE Conference on Computer Vision and Pattern Recognition, Proc, 3430. ; Li (2014), Remote heart rate measurement from face videos under realistic situations of the IEEE Conference on Computer Vision and Pattern Recognition, Proc, 4264.

DOI

10.1515/mms-2016-0052

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