Skip to main content

ROI Selection for Remote Photoplethysmography

  • Conference paper
  • First Online:
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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

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 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Georg Lempe .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

Publish with us

Policies and ethics