Wearable-band type visible-near infrared optical biosensor for non-invasive blood glucose monitoring
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Another approach extracted blood glucose levels by applying four wavelengths of light on the wrist using partial least squares algorithm as calibration.
“The next approach extracted blood glucose levels by applying four wavelengths of light (green, red, and two IRs) on the wrist using a partial least squares algorithm as the calibration [92].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [92]
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- Authors
- Rachim, V. P., & Chung, W.-Y.
- Affiliations
- Pukyong National University (KR)
- Corresponding author
- Chung, Wan-Young
- Venue
- Sensors and Actuators B Chemical
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 286
- Pages
- 173-180
- ISSN
- 0925-4005 (ISSN-L)
- OpenAlex
- W2913260502
- Cited by
- 200
- References
- 40
- Citations by year
- 2026: 13 · 2025: 37 · 2024: 24 · 2023: 36 · 2022: 46 · 2021: 21 · 2020: 20 · 2019: 3
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sensors and Actuators B Chemical (publishedVersion)
- Funders
- MEST (2016R1A2B4015)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- non-invasive glucose monitoring, continuous glucose monitoring, wearable biosensors, visible and near-infrared spectroscopy, diabetes mellitus, sensor calibration, carbohydrate-rich meal
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