Coded Hemodynamic Imaging (CHI)
Nominated for Millenium Technology Prize, Technology Academy Finland
Pulse transit visualization using coded hemodynamic imaging (slow motion, 1/6x speed)
We introduced coded hemodynamic imaging (CHI), a portable non-contact computational biophotonic (light-based) imaging system that is able to capture and assess arterial and venous hemodynamics across arbitrarily large tissue regions. This system leverages the fundamental properties of biophysical light-tissue interaction coupled with optical, electronic, hardware and software design for spatio-temporal analysis. Applications of the system are vast, including cardiac function assessment, cardiovascular response to exercise, arterial health analysis, and simultaneous multi-individual physiological monitoring.
CHI is the first touchless portable light-based imaging system that is able to assess the blood pulse as it traverses throughout the body. Conventionally, the blood pulse waveform can only be assessed in one location (e.g., fingertip), limiting the clinical field of view. CHI measures across many different locations within its field of view, effectively monitoring millions of "virtual sensors".
Whole-body blood pulse monitoring enables new possibilities for clinical cardiovascular assessment that could not be done with traditional devices, some of which include:
- neonatal monitoring, whose fragile skin and small anatomy prohibit the use of conventional devices;
- burn wound victim monitoring;
- multi-individual monitoring in naturalistic environments;
- pulse transit timing for assessing arterial stiffness and central blood pressure;
- non-invasive assessment of cardiac function through the jugular vein;
- integration with video analytics for affective mood assessment.
CHI received widespread international media coverage, including TV interviews, radio interviews, online articles and newspaper articles (see Press for selected media publications).
Related Publications
Journal Publications
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R. Amelard, R. L. Hughson, D. K. Greaves, K. J. Pfisterer, J. Leung, D. A. Clausi, A. Wong, “Non-contact hemodynamic imaging reveals the jugular venous pulse waveform,” Scientific Reports, Nature Publishing Group, vol. 6, no. 40150, 2017.
R. Amelard, D. A. Clausi, A. Wong, “Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems,” Journal of Biomedical Optics, vol. 21, no. 11, pp. 116010-1–116010-7, 2016. R. Amelard, D. A. Clausi, A. Wong, “A spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging,” Biomedical Optics Express, vol. 7, no. 12, pp. 4874-4885, 2016. R. Amelard, C. Scharfenberger, F. Kazemzadeh, K. J. Pfisterer, B. S. Lin, D. A. Clausi, A. Wong, “Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring,” Scientific Reports, Nature Publishing Group, vol. 5, no. 14637, 2015. Altmetric: 160 (top 1% of all research outputs of similar age) |
Conference Publications
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R. Amelard, R. L. Hughson, D. A. Clausi, A. Wong, “Non-contact arrhythmia assessment in natural settings: a step toward preventive cardiac care,” Diagnostic and Therapeutic Applications of Light in Cardiology, Feb 2017.
R. Amelard, R. L. Hughson, D. K. Greaves, D. A. Clausi, A. Wong, “Assessing photoplethysmographic imaging performance beyond facial perfusion analysis,” Optical Diagnostics and Sensing XVII, Feb 2017. Student Paper Award M. Wilson, R. Amelard, D. A. Clausi, A. Wong, “Co-integrating thermal and hemodynamic imaging for physiological monitoring,” Conference on Vision and Imaging Systems, vol.2, no. 1, doi: 10.15353/jcvis.v2i1.111, 2016. B. Chwyl, R. Amelard, D. Clausi, A. Wong, “A Bayesian multi-scale framework for photoplethysmogram imaging waveform processing,” Conference on Vision and Imaging Systems, vol. 2, no. 1, doi: 10.15353/jcvis.v2i1.114, 2016. B. Chwyl, Audrey G. Chung, R. Amelard, J. Deglint, D. A. Clausi, A. Wong, “SAPPHIRE: stochastically acquired photoplethysmogram for heart rate inference in realistic environments,” IEEE International Conference on Image Processing, Sep 2016. B. Chwyl, Audrey G. Chung, R. Amelard, J. Deglint, D. A. Clausi, A. Wong, “Time-frequency domain analysis via pulselets for non-contact heart rate estimation from remotely acquired photoplethysmograms,” 13th Conference on Computer and Robot Vision, Jun 2016. R. Amelard, D. A. Clausi, A. Wong, “Coded Hemodynamic Imaging for non-contact detection of abnormal blood pulse waveforms,” Imaging Network Ontario, Toronto, Mar 2016. R. Amelard, D. A. Clausi, A. Wong, “Spectral photoplethysmographic imaging sensor fusion for enhanced heart rate detection,” Multimodal Biomedical Imaging XI, San Francisco, Feb 2016. R. Amelard, K. J. Pfisterer, D. A. Clausi, A. Wong, “Non-contact hematoma damage and healing assessment using reflectance photoplethysmographic imaging,” Multimodal Biomedical Imaging XI, Feb 2016. J. Deglint, A. G. Chung, B. Chwyl, R. Amelard, F. Kazemzadeh, X.-Y. Wang, D. A. Clausi, A. Wong, “Photoplethysmographic imaging via spectrally demultiplexed erythema fluctuation analysis for remote heart rate monitoring,” Multimodal Biomedical Imaging XI, San Francisco, Feb 2016. R. Amelard, J. Leung, D. A. Clausi, A. Wong, “A portable plug-and-play imaging system for physiological monitoring,” Conference on Vision and Imaging Systems, vol. 1, no. 1, doi: 10.15353/vsnl.v1i1.57, 2015. R. Amelard, C. Scharfenberger, A. Wong, D. A. Clausi, “Non-contact assessment of melanin distribution via multispectral temporal illumination coding,” Proc SPIE 9316, San Francisco, Feb 2015. R. Amelard, C. Scharfenberger, A. Wong, D. A. Clausi, “Illumination-compensated non-contact imaging photoplethysmography via dual-mode temporally-coded illumination,” Proc. SPIE 9316, San Francisco, Feb 2015. A. Chung, X.-Y. Wang, R. Amelard, C. Scharfenberger, J. Leong, A. Wong, D. A. Clausi, “High-resolution motion-compensated photoplethysmographic imaging for remote heart rate monitoring,” Proc. SPIE, San Francisco, Feb 2015. |
Patents
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R. Amelard, A. Wong, “System and method for spatial cardiovascular monitoring,” U.S. Patent 62/270409, Patent Pending.
R. Amelard, A. Wong, “System and method for spatial cardiovascular monitoring,” Canada Patent 2,952,485, Patent Pending. |