A Multi-Wavelength Opto-Electronic Patch Sensor to Effectively Detect Physiological Changes against Human Skin Types

被引:32
|
作者
Yan, Liangwen [1 ]
Hu, Sijung [2 ]
Alzahrani, Abdullah [2 ,3 ]
Alharbi, Samah [2 ]
Blanos, Panagiotis [2 ]
机构
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
[2] Loughborough Univ Technol, Sch Elect Elect & Syst Engn, Ashby Rd, Loughborough LE11 3TU, Leics, England
[3] Taif Univ, Coll Engn, Airport Rd,Al Hawiyah Area 888, At Taif 26571, Saudi Arabia
来源
BIOSENSORS-BASEL | 2017年 / 7卷 / 02期
关键词
multi-wavelength; auto adaptive adjustment; opto-electronic patch sensor (OEPS); skin pigments; Von Luschan's chromatic scale (VLCS); REFLECTANCE; PHOTOPLETHYSMOGRAPHY;
D O I
10.3390/bios7020022
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
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页数:12
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