2014
DOI: 10.1039/c4ra07579j
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Threshold concentration monitoring based on pattern recognition analysis of differential near-infrared spectra

Abstract: A threshold concentration monitoring procedure based on near-infrared (near-IR) spectroscopy is described for use in continuous process monitoring applications.

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Cited by 3 publications
(5 citation statements)
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“…Overview of Hypoglycemic Alarm Algorithm. The algorithm used to detect instances of hypoglycemia from continuously sampled near-IR spectra has been described previously 22,24 and will be summarized here. A conventional invasive blood glucose measurement is made at the start of the monitoring period, and a reference tissue spectrum is collected concurrently.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
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“…Overview of Hypoglycemic Alarm Algorithm. The algorithm used to detect instances of hypoglycemia from continuously sampled near-IR spectra has been described previously 22,24 and will be summarized here. A conventional invasive blood glucose measurement is made at the start of the monitoring period, and a reference tissue spectrum is collected concurrently.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…We have recently completed three studies that constitute important steps toward the development of a noninvasive hypoglycemic alarm. The first reported on the development of a general-purpose data analysis algorithm for threshold monitoring applications . In this study, the algorithm was tested with near-IR spectra of solutions of glucose in water along with a minimum of interfering background components.…”
mentioning
confidence: 99%
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“…We have recently introduced a threshold monitoring algorithm for near-IR spectroscopy that provides an automated capability for detecting when an analyte concentration exceeds or goes below a specified threshold. 15 Using data collected with the tissue phantom, we are investigating the performance of an alarm algorithm for the detection of occurrences of hypoglycemia during the sleep period of a diabetic patient.…”
Section: Discussionmentioning
confidence: 99%
“…14 Our laboratory has performed a number of studies directed to the determination of glucose in biological matrixes using transmission measurements in the near-IR combination region (4000-5000 cm −1 , 2.0-2.5 µm). [15][16][17] This region contains combination bands associated with C-H, N-H, and O-H vibrations and offers a spectral window between the strong water absorption bands centered near 3300 and 5200 cm −1 . 18 This work has largely been based on the measurement of discrete in vitro samples constructed from relatively simple sample matrixes.…”
Section: Introductionmentioning
confidence: 99%