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A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types
Different 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 develo...
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Format: | Default Article |
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2017
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Online Access: | https://hdl.handle.net/2134/26129 |
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author | Liangwen Yan Sijung Hu Abdullah Alzahrani Samah Alharbi Panos Blanos |
author_facet | Liangwen Yan Sijung Hu Abdullah Alzahrani Samah Alharbi Panos Blanos |
author_sort | Liangwen Yan (7209323) |
collection | Figshare |
description | Different 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. |
format | Default Article |
id | rr-article-9560252 |
institution | Loughborough University |
publishDate | 2017 |
record_format | Figshare |
spelling | rr-article-95602522017-06-21T00:00:00Z A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types Liangwen Yan (7209323) Sijung Hu (1250727) Abdullah Alzahrani (3372671) Samah Alharbi (7208843) Panos Blanos (3640846) Mechanical engineering not elsewhere classified Multi-wavelength Auto adaptive adjustment Opto-electronic patch sensor (OEPS) Skin pigments Von Luschan’s chromatic scale (VLCS) Mechanical Engineering not elsewhere classified Different 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. 2017-06-21T00:00:00Z Text Journal contribution 2134/26129 https://figshare.com/articles/journal_contribution/A_multi-wavelength_opto-electronic_patch_sensor_to_effectively_detect_physiological_changes_against_human_skin_types/9560252 CC BY 4.0 |
spellingShingle | Mechanical engineering not elsewhere classified Multi-wavelength Auto adaptive adjustment Opto-electronic patch sensor (OEPS) Skin pigments Von Luschan’s chromatic scale (VLCS) Mechanical Engineering not elsewhere classified Liangwen Yan Sijung Hu Abdullah Alzahrani Samah Alharbi Panos Blanos A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title | A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title_full | A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title_fullStr | A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title_full_unstemmed | A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title_short | A multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
title_sort | multi-wavelength opto-electronic patch sensor to effectively detect physiological changes against human skin types |
topic | Mechanical engineering not elsewhere classified Multi-wavelength Auto adaptive adjustment Opto-electronic patch sensor (OEPS) Skin pigments Von Luschan’s chromatic scale (VLCS) Mechanical Engineering not elsewhere classified |
url | https://hdl.handle.net/2134/26129 |