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Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography

Published: 24 April 2023 Publication History

Abstract

Contact-free remote sensing is showing increasing potential for real-life use, especially for screening applications (e.g., thermal cameras to detect fever). We investigated the feasibility of estimating pulse transit time (PTT) – a marker known to be highly correlated with blood pressure – in a remote way from a single measuring site, using just a single modified RGB camera. We replaced the default infrared (IR) filter with a narrow-band triple-bandpass filter allowing us to remotely measure the PTT between green and near-infrared (NIR) wavelengths. Such a filter minimizes the inter-channel influence and band overlap, while also leveraging the non-traditional NIR information. We based the PTT measurements on the fact that different wavelengths penetrate to different skin layers. This allowed for the capture of slightly delayed blood pulses corresponding to different wavelengths and skins depth. Our early observations in 5-subject small-scale experiment show relatively consistent temporal delays between the waveforms from different wavelengths in accordance with expectations and related work. These early results show promise for further research in remote multi-wavelength PTT and blood pressure (BP) estimation, while also highlighting important fundamental and technical challenges to be considered.

References

[1]
John Allen. 2007. Photoplethysmography and its application in clinical physiological measurement. Physiological measurement 28, 3 (2007), R1.
[2]
Sangjin Han, Donggeun Roh, Junyung Park, and Hangsik Shin. 2019. Design of multi-wavelength optical sensor module for depth-dependent photoplethysmography. Sensors 19, 24 (2019), 5441.
[3]
Fatema-Tuz-Zohra Khanam, Ali Al-Naji, and Javaan Chahl. 2019. Remote monitoring of vital signs in diverse non-clinical and clinical scenarios using computer vision systems: A review. Applied Sciences 9, 20 (2019), 4474.
[4]
James D Lane, Lisa Greenstadt, David Shapiro, and Eduardo Rubinstein. 1983. Pulse transit time and blood pressure: an intensive analysis. Psychophysiology 20, 1 (1983), 45–49.
[5]
Dangdang Shao, Yuting Yang, Chenbin Liu, Francis Tsow, Hui Yu, and Nongjian Tao. 2014. Noncontact monitoring breathing pattern, exhalation flow rate and pulse transit time. IEEE Transactions on Biomedical Engineering 61, 11 (2014), 2760–2767.

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  1. Feasibility of Remote Pulse Transit Time Estimation Using Narrow-band Multi-wavelength Camera Photoplethysmography

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    cover image ACM Conferences
    UbiComp/ISWC '22 Adjunct: Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers
    September 2022
    538 pages
    ISBN:9781450394239
    DOI:10.1145/3544793
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 April 2023

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    Author Tags

    1. Multi-wavelength
    2. Photoplethysmography
    3. Pulse Transit Time
    4. Remote sensing

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    UbiComp/ISWC '22

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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