In vivo evaluation of a chip based near infrared sensor for continuous glucose monitoring
Autor: | Thomas R. Pieber, Lukas Schaupp, Michael Göddel, Thomas Klotzbuecher, Knut Welzel, Susanne Sigloch, Lhoucine Ben Mohammadi |
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Rok vydání: | 2014 |
Předmět: |
Blood Glucose
Coefficient of determination Absorption spectroscopy Microdialysis Biomedical Engineering Biophysics Analytical chemistry Monitoring Ambulatory Biosensing Techniques 02 engineering and technology 01 natural sciences Signal Electrochemistry Humans Spectroscopy Spectroscopy Near-Infrared Chemistry 010401 analytical chemistry Near-infrared spectroscopy Overtone band General Medicine 021001 nanoscience & nanotechnology Chip 0104 chemical sciences Wavelength Diabetes Mellitus Type 1 0210 nano-technology Biotechnology |
Zdroj: | Biosensors and Bioelectronics |
ISSN: | 0956-5663 |
DOI: | 10.1016/j.bios.2013.09.043 |
Popis: | In this paper we describe the concept and in vivo results of a minimally invasive, chip-based near infrared (NIR) sensor, combined with microdialysis, for continuous glucose monitoring. The sensor principle is based on difference absorption spectroscopy in selected wavelength bands of the near infrared spectrum (1300 nm, 1450 nm, and 1550 nm) in the 1st overtone band. In vitro measurements revealed a linear relationship between glucose concentration and the integrated difference spectroscopy signal with a coefficient of determination of 99% in the concentration range of 0-400mg/dl. The absolute error in this case is about 5mg/dl, corresponding to a relative error of about 5% for glucose concentrations larger than 50mg/dl and about 12% in the hypoglycemic range (50mg/dl). In vivo measurements on 10 patients showed that the NIR-CGM sensor data reflects the blood reference values adequately, if a proper calibration and a signal drift correction is applied. The mean MARE (mean absolute relative error) value taken over all patient data is 13.8%. The best achieved MARE value is at 4.8%, whereas the worst lies at 25.8%, leading to a standard deviation of 5.5%. |
Databáze: | OpenAIRE |
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