posted on 2018-04-17, 08:03authored byDmitry Iakovlev, Sijung HuSijung Hu, Harnani Hassan, Vincent Dwyer, Roya Ashayer-Soltani, Chris Hunt, Jinsong Shen
Imaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors. The aim of this study was to study how effective smart garment fabrics could be capturing physiological signs in a non-contact mode. The present work demonstrates a feasible approach of, instead of using conventional high-power illumination sources, integrating a grid of surface-mounted light emitting diodes (LEDs) into cotton fabric to spotlight the region of interest (ROI). The green and the red LEDs (525 and 660 nm) placed on a small cotton substrate were used to locally illuminate palm skin in a dual-wavelength iPPG setup, where the backscattered light is transmitted to a remote image sensor through the garment fabric. The results show that the illuminations from both wavelength LEDs can be used to extract heart rate (HR) reaching an accuracy of 90% compared to a contact PPG probe. Stretching the fabric over the skin surface alters the morphology of iPPG signals, demonstrating a significantly higher pulsatile amplitude in both channels of green and red illuminations. The skin compression by the fabric could be potentially utilised to enhance the penetration of illumination into cutaneous microvascular beds. The outcome could lead a new avenue of non-contact opto-physiological monitoring and assessment with functional garment fabrics.
Funding
The authors would like to thank Cotton Incorporated, USA, for financial support (Project contract No. 15-934) and the PhD research sponsorship of EPSRC-min CDT (2015-2018).
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
Biosensors
Citation
IAKOVLEV, D. ... et al, 2018. Smart garment fabrics to enable non-contact opto-physiological monitoring. Biosensors, 8 (2), 33.
This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/
Acceptance date
2018-03-26
Publication date
2018-03-29
Notes
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/