Wearble Noninvasive Glucose Estimation based on Multi-wavelength Reflective Photoplethysmography

被引：1
|
作者：
Nguyen Mai Hoang Long [1 ]
Wan-Young Chung [1 ]
机构：
[1] Pukyong Natl Univ, Dept AI Convergence, Busan, South Korea
来源：
2021 ANNUAL CONFERENCE OF THE IEEE PHOTONICS SOCIETY (IPC) | 2021年
基金：
新加坡国家研究基金会;
关键词：
PPG; noninvasive; continuous glucose monitoring; machine learning; wearable;
D O I：
10.1109/IPC48725.2021.9592997
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This study presents the experiment results of glucose concentration monitoring using reflective photoplethysmogram technique with four different wavelengths. It is observed that green wavelength has a high correlation with glucose concentration in one-hour-continuous-collected data, and the linear regression model achieved an 81% accuracy.
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页数：2
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