Research Papers: Imaging

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems

[+] Author Affiliations
Robert Amelard, Alexander Wong

University of Waterloo, Department of Systems Design Engineering, 200 University Avenue West, Waterloo N2L 3G1, Canada

Schlegel-University of Waterloo Research Institute for Aging, 250 Laurelwood Drive, Waterloo N2J 0E2, Canada

David A. Clausi

University of Waterloo, Department of Systems Design Engineering, 200 University Avenue West, Waterloo N2L 3G1, Canada

J. Biomed. Opt. 21(11), 116010 (Nov 25, 2016). doi:10.1117/1.JBO.21.11.116010
History: Received July 28, 2016; Accepted November 4, 2016
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Abstract.  Photoplethysmographic imaging (PPGI) is a widefield noncontact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Although spatial context can provide insight into physiologically relevant sampling locations, existing PPGI systems rely on coarse spatial averaging with no anatomical priors for assessing arterial pulsatility. Here, we developed a continuous probabilistic pulsatility model for importance-weighted blood pulse waveform extraction. Using a data-driven approach, the model was constructed using a 23 participant sample with a large demographic variability (11/12 female/male, age 11 to 60 years, BMI 16.4 to 35.1  kg·m2). Using time-synchronized ground-truth blood pulse waveforms, spatial correlation priors were computed and projected into a coaligned importance-weighted Cartesian space. A modified Parzen–Rosenblatt kernel density estimation method was used to compute the continuous resolution-agnostic probabilistic pulsatility model. The model identified locations that consistently exhibited pulsatility across the sample. Blood pulse waveform signals extracted with the model exhibited significantly stronger temporal correlation (W=35,p<0.01) and spectral SNR (W=31,p<0.01) compared to uniform spatial averaging. Heart rate estimation was in strong agreement with true heart rate [r2=0.9619, error (μ,σ)=(0.52,1.69) bpm].

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Robert Amelard ; David A. Clausi and Alexander Wong
"Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems", J. Biomed. Opt. 21(11), 116010 (Nov 25, 2016). ; http://dx.doi.org/10.1117/1.JBO.21.11.116010


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