Potential of Near-Infrared Optical Techniques for Non-invasive Blood Glucose Measurement: A Pilot Study

被引:0
|
作者
Fathimal, M. Sameera [1 ]
Kumar, Janardanan Subramonia [2 ]
Prabha, A. Jeya [1 ]
Selvaraj, Jothiraj [1 ]
Shilparani, F. Fabiola Jemmie [1 ]
Kirubha, S. P. Angeline [1 ]
机构
[1] SRM Inst Sci & Technol, Coll Engn & Technol, Dept Biomed Engn, Kattankulathur 603203, Tamil Nadu, India
[2] SRM Inst Sci & Technol, SRM Med Coll Hosp & Res Ctr, Dept Gen Med, Kattankulathur 603203, Tamil Nadu, India
关键词
Diabetes mellitus; Glucose monitoring; Non-invasive method; Near-infrared wavelength; Optical device; TISSUE; SPECTROSCOPY;
D O I
10.1016/j.irbm.2024.100870
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Background: Diabetes mellitus manifested by escalated blood glucose, demands periodic or continuous glucose monitoring in the pursuit of improved control, optimal management, and appropriate medication. The existing state-of-the-art for blood glucose estimation are invasive methodologies necessitating the acquisition of blood sample through either a finger-stick or venipuncture. Methods: We propose a dual Near-infrared wavelength integrated in a 3D printed enclosure as the optical prototype for non-invasive glucose estimation. We acquired data from both diabetic and healthy subjects with the developed system and subsequently validated the system. Results: The system demonstrated commendable clinical accuracy, as evidenced by the alignment of data pairs representing actual blood glucose levels and blood glucose levels predicted by our optical system within the A+B zones of the Parkes error grid and zones of no-risk and lower risk as defined by the surveillance error grid. We achieved compliant pairs percentage of 95.6%, which satisfies the accuracy requirements of the blood glucose monitoring surveillance study. The mean absolute percentage error attained with the proposed device (5.99%) was significant in predicting the blood glucose. Conclusion: We successfully deployed the NIR wavelengths functionality as the promising approach for glucose monitoring, offering new possibilities for improved medical interventions. (c) 2024 AGBM. Published by Elsevier Masson SAS. All rights are reserved, including those for text and
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页数:14
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