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

• Autorzy: Przybyło J. , Kańtoch E. , Jabłoński M. , Augustyniak P.

Identyfikatory

DOI

10.1515/mms-2016-0052

• Języki publikacji: EN

Abstrakty

EN

Videoplethysmography is currently recognized as a promising noninvasive heart rate measurement method advantageous for ubiquitous monitoring of humans in natural living conditions. Although the method is considered for application in several areas including telemedicine, sports and assisted living, its dependence on lighting conditions and camera performance is still not investigated enough. In this paper we report on research of various image acquisition aspects including the lighting spectrum, frame rate and compression. In the experimental part, we recorded five video sequences in various lighting conditions (fluorescent artificial light, dim daylight, infrared light, incandescent light bulb) using a programmable frame rate camera and a pulse oximeter as the reference. For a video sequence-based heart rate measurement we implemented a pulse detection algorithm based on the power spectral density, estimated using Welch’s technique. The results showed that lighting conditions and selected video camera settings including compression and the sampling frequency influence the heart rate detection accuracy. The average heart rate error also varies from 0.35 beats per minute (bpm) for fluorescent light to 6.6 bpm for dim daylight.

Słowa kluczowe

EN

photoplethysmography; remote patient monitoring; heart rate detection; video signal processing

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2016
• Tom: Vol. 23, nr 4
• Strony: 579--592
• Opis fizyczny: Bibliogr. 17 poz., rys., tab., wykr.

Twórcy

autor

Przybyło J.

• AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland

autor

Kańtoch E.

• AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland

autor

Jabłoński M.

• AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland

autor

Augustyniak P.

• AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland

Bibliografia

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Uwagi

EN

This scientific work is supported by the AGH University of Science and Technology in year 2016 as a research project No. 11.11.120.612.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).