Hu_YanEtAl2017biosensors-07-00022.pdf (811.53 kB)
A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types
journal contribution
posted on 2017-08-18, 12:20 authored by Liangwen Yan, Sijung HuSijung Hu, Abdullah Alzahrani, Samah Alharbi, Panos BlanosDifferent skin pigments among various ethnic group people have an impact on spectrometric illumination on skin surface. To effectively capture photoplethysmographic (PPG) signals, a multi-wavelength opto-electronic patch sensor (OEPS) together with a schematic
architecture of electronics were developed to overcome the drawback of present PPG sensor.
To perform a better in vivo physiological measurement against skin pigments, optimal illuminations in OEPS, whose wavelength is compatible with a specific skin type, were optimized to capture a reliable physiological sign of heart rate (HR). A protocol was designed to investigate an impact of five skin types in compliance with Von Luschan’s chromatic scale. Thirty-three healthy male
subjects between the ages of 18 and 41 were involved in the protocol implemented by means of the OEPS system. The results show that there is no significant difference (p: 0.09, F = 3.0) in five group tests with the skin types across various activities throughout a series of consistent measurements. The outcome of the present study demonstrates that the OEPS, with its multi-wavelength illumination
characteristics, could open a path in multiple applications of different ethnic groups with cost-effective health monitoring.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
BiosensorsVolume
7Issue
2Citation
YAN, L. ...et al., 2017. A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types. Biosensors, 7(2): 22.Publisher
MDPIVersion
- VoR (Version of Record)
Publisher statement
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
2017-06-16Publication date
2017-06-21Notes
This is an Open Access Article. It is published by MDPI under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/ISSN
2079-6374eISSN
2079-6374Publisher version
Language
- en