An Experimental Study of Contactless Photoplethysmography Techniques

Author:

Semchuk I. P.,Zmievskoy G. N.,Muravskaya N. P.,Volkov A. K.,Murashko M. A.,Samorodov A. V.

Publisher

Springer Science and Business Media LLC

Subject

Medical Laboratory Technology,Biomedical Engineering,Medicine (miscellaneous)

Reference11 articles.

1. Mok, W. Q., Wang, W., Liaw, S. Y., “Vital signs monitoring to detect patient deterioration: An integrative literature review,” Int. J. Nurs. Prac., 21, Suppl. 2, 91-98 (2015).

2. Allen, J. “Photoplethysmography and its application in clinical physiological measurement,” Physiol. Meas., 28, No. 3, 1-39 (2007).

3. Galkin, M. A., Zmievskoy, G. N., Laryushin, A. I., and Novikov, V. I., “Cardiac diagnostics based on photoplethysmography using a two-channel plethysmograph,” Fotonika, No. 3, 30-35 (2008).

4. Wu, T., “PPGI: New development in noninvasive and contactless diagnosis of dermal perfusion using nearinfrared light,” J. GCPD e.V., 7, No. 1, 17-24 (2003).

5. Blazek, V., Blanik, N., Blazek, C. R., Paul, M., Pereira, C., Koeny, M., Venema, B., and Leonhardt, S., “Active and passive optical imaging modality for unobtrusive cardiorespiratory monitoring and facial expression assessment,” Anesth. Analg., 124, No. 1, 104-119 (2017).

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1. Machine Learning Approach for Contactless Photoplethysmographic Measurement Verification;Pattern Recognition. ICPR International Workshops and Challenges;2021

2. The study of the facial skin surface blood flow dynamics;XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019);2019

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