Non-contact Reflection Photoplethysmography towards Effective Human Physiological Monitoring

A non-contact reflection photoplethysmography (NRPPG) with its engineering model was created to access human physiological information. The NRPPG engineering setup with a vertical cavity surface emitting laser (VCSEL) as a light source and a high-speed PiN photodiode as a photodetector was configured based upon the principles of light-tissue interaction and Beer-Lambert's law. In this paper, we present three aspects of the NRPPG performance: (1) photonics engineering work to capture photoplethysmographic signals with a non-contact manner in an optimal setup of the NRPPG; (2) a 5-minute protocol with 22 participants to determine a good agreement between NRPPG and contact photoplethysmography (CPPG) by means of Bland-Altman statistical analysis and Pearson's correlation coefficient; and (3) a physiological experiment designed for cardiac-physiological monitoring utilizing NRPPG. The experimental results suggest that clean PPG signal can be obtained between 30-110 mm. The outcome from agreement study indicates that the performance of NRPPG is compatible with CPPG. The NRPPG technique has great potential in cardiac-physiological assessment in a required clinical circumstance.

[1]  D. Altman,et al.  STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT , 1986, The Lancet.

[2]  M. Schweiger,et al.  Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head. , 1997, Applied optics.

[3]  Y. Mendelson Pulse oximetry: theory and applications for noninvasive monitoring. , 1992, Clinical chemistry.

[4]  D. Altman,et al.  Measuring agreement in method comparison studies , 1999, Statistical methods in medical research.

[5]  Peck-Yeng Cheang Feasibility of non-contact photoplethysmography , 2008 .

[6]  M. Nitzan,et al.  The variability of the photoplethysmographic signal - a potential method for the evaluation of the autonomic nervous system , 1998, Physiological measurement.

[7]  T. Seppänen,et al.  Quantitative beat-to-beat analysis of heart rate dynamics during exercise. , 1996, The American journal of physiology.

[8]  Sijung Hu,et al.  Feasibility of Imaging Photoplethysmography , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[9]  B. Chance,et al.  Photon migration in the presence of a single defect: a perturbation analysis. , 1995, Applied optics.

[10]  J B Harness,et al.  Skin photoplethysmography--a review. , 1989, Computer methods and programs in biomedicine.

[11]  F. Mastik,et al.  Contactless Multiple Wavelength Photoplethysmographic Imaging: A First Step Toward “SpO2 Camera” Technology , 2005, Annals of Biomedical Engineering.

[12]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[13]  John Allen Photoplethysmography and its application in clinical physiological measurement , 2007, Physiological measurement.

[14]  S J Barker,et al.  The Effect of Sensor Malpositioning on Pulse Oximeter Accuracy during Hypoxemia , 1993, Anesthesiology.

[15]  M. J. Hayes,et al.  Artefact reduction in photoplethysmography , 1998 .