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Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

4 Issues per year


IMPACT FACTOR 2016: 1.598

CiteScore 2016: 1.58

SCImago Journal Rank (SJR) 2016: 0.460
Source Normalized Impact per Paper (SNIP) 2016: 1.228

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Online
ISSN
2300-1941
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Volume 23, Issue 4 (Dec 2016)

Issues

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

Jaromir Przybyło
  • Corresponding author
  • AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland
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/ Eliasz Kańtoch
  • AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland
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/ Mirosław Jabłoński
  • AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland
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  • De Gruyter OnlineGoogle Scholar
/ Piotr Augustyniak
  • AGH University of Science and Technology, Faculty of Electrical Engineering Automatics, Computer Science and Biomedical Engineering, Al. Mickiewicza 30, Kraków, Poland
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Published Online: 2016-12-13 | DOI: https://doi.org/10.1515/mms-2016-0052

Abstract

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.

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

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About the article

Received: 2016-01-29

Accepted: 2016-07-17

Published Online: 2016-12-13

Published in Print: 2016-12-01


Citation Information: Metrology and Measurement Systems, ISSN (Online) 2300-1941, DOI: https://doi.org/10.1515/mms-2016-0052.

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