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ROI Selection for Remote Photoplethysmography

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Bildverarbeitung für die Medizin 2013

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

Camera-based remote photoplethysmography (rPPG) is a technique that can be used to measure vital signs contactlessly. In order to optimize the extraction of photoplethysmographic signals from video sequences, we investigate the spatial dependence of the photoplethysmographic signal. For an evaluation of the suitability of various regions of interest for rPPG measurements, we conducted a study on 20 healthy subjects. We analysed the videos using a refined pulse amplitude mapping approach. Our results show that the signal-to-noise ratio of rPPG signals can be improved by limiting the region of interest to certain regions of the face.

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Literatur

  • Blazek V, Wu T, Hoelscher D. Near-infrared CCD imaging: possibilities for non-invasive and contactless 2D mapping of dermal venous hemodynamics. Proc SPIE. 2000;3923:2.

    Google Scholar 

  • Poh MZ, McDuff DJ, Picard RW. Advancements in noncontact, multiparameter physiological measurements using a webcam. Biomed Eng. 2011;58(1):7–11.

    Google Scholar 

  • Lewandowska M, Nowak J. Measuring pulse rate with a webcam. J Med Imaging Health Inform. 2012;2(1):87–92.

    Google Scholar 

  • Sun Y, Hu S, Azorin-Peris V, et al. Motion-compensated noncontact imaging photoplethysmography to monitor cardiorespiratory status during exercise. J Biomed Opt. 2011;16:077010.

    Google Scholar 

  • Takano C, Ohta Y. Heart rate measurement based on a time-lapse image. Med Eng Phys. 2007;29(8):853–7.

    Google Scholar 

  • Verkruysse W, Svaasand LO, Nelson JS. Remote plethysmographic imaging using ambient light. Opt Expr. 2008;16(26):21434–45.

    Google Scholar 

  • Huelsbusch M, Blazek V. Contactless mapping of rhythmical phenomena in tissue perfusion using PPGI. Proc SPIE. 2002;4683:110.

    Google Scholar 

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Correspondence to Georg Lempe .

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© 2013 Springer-Verlag Berlin Heidelberg

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Lempe, G., Zaunseder, S., Wirthgen, T., Zipser, S., Malberg, H. (2013). ROI Selection for Remote Photoplethysmography. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_19

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