Non-invasive glucose measurement based on selective near infrared absorption

Requirements on instrumentation and spectral range

Jussi Tenhunen (Corresponding Author), Harri Kopola, Risto Myllylä

Research output: Contribution to journalArticleScientificpeer-review

39 Citations (Scopus)

Abstract

A tight control of the level of blood glucose is known to reduce the long-term complications of diabetic patients.
A non-invasive measurement method suitable for home use would allow a more accurate and frequent control of glucose level, along with reducing the long-term health care costs of diabetic patients and improving their quality of life.
In clinical use, the non-invasive method would be suitable for several applications, such as rapid monitoring of glucose levels in emergency rooms [G. Cote, J. Clin. Engrg. 22 (4) (1997) 253–259]. In this work, the potential of near infrared (NIR) spectroscopy as a non-invasive method has been evaluated on the basis of theoretical considerations and measurements on water–glucose solutions and a test person.
The partial least squares (PLS) algorithm was used in calibration.
The standard deviation of the error of prediction was 0.97 and 1.14 mmol/l for measurements from water–glucose solutions and the test person respectively.
Original languageEnglish
Pages (from-to)173-177
JournalMeasurement
Volume24
Issue number3
DOIs
Publication statusPublished - 1998
MoE publication typeA1 Journal article-refereed

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Infrared absorption
glucose
infrared absorption
Glucose
requirements
Emergency rooms
Near infrared spectroscopy
emergencies
Health care
health
blood
rooms
standard deviation
Blood
infrared spectroscopy
Calibration
costs
Monitoring
predictions
Costs

Cite this

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abstract = "A tight control of the level of blood glucose is known to reduce the long-term complications of diabetic patients. A non-invasive measurement method suitable for home use would allow a more accurate and frequent control of glucose level, along with reducing the long-term health care costs of diabetic patients and improving their quality of life. In clinical use, the non-invasive method would be suitable for several applications, such as rapid monitoring of glucose levels in emergency rooms [G. Cote, J. Clin. Engrg. 22 (4) (1997) 253–259]. In this work, the potential of near infrared (NIR) spectroscopy as a non-invasive method has been evaluated on the basis of theoretical considerations and measurements on water–glucose solutions and a test person. The partial least squares (PLS) algorithm was used in calibration. The standard deviation of the error of prediction was 0.97 and 1.14 mmol/l for measurements from water–glucose solutions and the test person respectively.",
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Non-invasive glucose measurement based on selective near infrared absorption : Requirements on instrumentation and spectral range. / Tenhunen, Jussi (Corresponding Author); Kopola, Harri; Myllylä, Risto.

In: Measurement, Vol. 24, No. 3, 1998, p. 173-177.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Non-invasive glucose measurement based on selective near infrared absorption

T2 - Requirements on instrumentation and spectral range

AU - Tenhunen, Jussi

AU - Kopola, Harri

AU - Myllylä, Risto

PY - 1998

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AB - A tight control of the level of blood glucose is known to reduce the long-term complications of diabetic patients. A non-invasive measurement method suitable for home use would allow a more accurate and frequent control of glucose level, along with reducing the long-term health care costs of diabetic patients and improving their quality of life. In clinical use, the non-invasive method would be suitable for several applications, such as rapid monitoring of glucose levels in emergency rooms [G. Cote, J. Clin. Engrg. 22 (4) (1997) 253–259]. In this work, the potential of near infrared (NIR) spectroscopy as a non-invasive method has been evaluated on the basis of theoretical considerations and measurements on water–glucose solutions and a test person. The partial least squares (PLS) algorithm was used in calibration. The standard deviation of the error of prediction was 0.97 and 1.14 mmol/l for measurements from water–glucose solutions and the test person respectively.

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