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Multifunctional Photoplethysmography Sensor Design for Respiratory and Cardiovascular Diagnosis

  • Durmus Umutcan Uguz
  • Boudewijn Venema
  • Steffen Leonhardt
  • Daniel Teichmann
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 68/2)

Abstract

Photoplethysmography (PPG) is a transcutaneous optical signal acquisition method to monitor blood volume variations to assess cardiovascular health. Using a light source and a photodetector, PPG signals can be acquired and used in a vast application area. For the estimation of vital parameters like respiratory and heart rate, different properties of this pulsatile wave need to be further analyzed. This demands the utilization of different sensor techniques to be used like motion sensors, skin temperature monitoring and different wavelengths of light sources. This paper represents the proposed multipurpose PPG sensor design, called SmartPPG, which is able to measure multi-wavelength PPG from different skin penetration depths as well as skin temperature while providing motion tracking via an accelerometer. The manufactured prototype was tested for different PPG techniques to evaluate its applicability for arterial, venous and respiratory diagnosis.

Keywords

Photoplethysmography Pulse oximetry Respiratory rate Cardiovascular diagnostic Venous muscle pump test 

Notes

Acknowledgements

The authors acknowledge ELCAT GmbH, Wolfratshausen for their cooperation in this project funded by the Federal Ministry for Economic Affairs and Energy under The Central Innovation Programme. The authors would like to thank Prof. Dr-Ing. Vladimir Blazek for his helpful comments and valuable discussions.

Ethics Statement and Conflict of Interest

The Institution’s Ethical Review Board approved all experimental procedures involving human subjects under the reference code EK 024/18. The authors declare that they have no conflict of interest.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Durmus Umutcan Uguz
    • 1
  • Boudewijn Venema
    • 2
  • Steffen Leonhardt
    • 1
  • Daniel Teichmann
    • 1
  1. 1.Chair for Medical Information TechnologyRWTH Aachen UniversityAachenGermany
  2. 2.Department of Optical SensorsHuf Huelsbeck & Fuerst GmbH & Co. KGVelbertGermany

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