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Remote spectral measurements of the blood volume pulse with applications for imaging photoplethysmography
Author(s): Ethan B. Blackford; Justin R. Estepp; Daniel J. McDuff
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Paper Abstract

Imaging photoplethysmography uses camera image sensors to measure variations in light absorption related to the delivery of the blood volume pulse to peripheral tissues. The characteristics of the measured BVP waveform depends on the spectral absorption of various tissue components including melanin, hemoglobin, water, and yellow pigments. Signal quality and artifact rejection can be enhanced by taking into account the spectral properties of the BVP waveform and surrounding tissue. The current literature regarding the spectral relationships of remote PPG is limited. To supplement this fundamental data, we present an analysis of remotely-measured, visible and near-infrared spectroscopy to better understand the spectral signature of remotely measured BVP signals. To do so, spectra were measured from the right cheek of 25, stationary participants whose heads were stabilized by a chinrest. A collimating lens was used to collect reflected light from a region of 3 cm in diameter. The spectrometer provided 3 nm resolution measurements from 500-1000 nm. Measurements were acquired at a rate of 50 complete spectra per second for a period of five minutes. Reference physiology, including electrocardiography was simultaneously and synchronously acquired. The spectral data were analyzed to determine the relationship between light wavelength and the resulting remote-BVP signal-to-noise ratio and to identify those bands best suited for pulse rate measurement. To our knowledge this is the most comprehensive dataset of remotely-measured spectral iPPG data. In due course, we plan to release this dataset for research purposes.

Paper Details

Date Published: 20 February 2018
PDF: 8 pages
Proc. SPIE 10501, Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 105010Z (20 February 2018); doi: 10.1117/12.2291073
Show Author Affiliations
Ethan B. Blackford, Ball Aerospace (United States)
Justin R. Estepp, Air Force Research Lab. (United States)
Daniel J. McDuff, Microsoft Research (United States)


Published in SPIE Proceedings Vol. 10501:
Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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