Application of the generalized mean value function to the statistical detection of water in decane by near-infrared spectroscopy

2005 ◽  
Vol 352 (2-4) ◽  
pp. 379-396 ◽  
Author(s):  
Raoul R. Nigmatullin ◽  
Adam Moroz ◽  
Geoff Smith
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Value Function ◽  
Mean Value ◽  
Statistical Detection ◽  
Generalized Mean

Measurement of cerebral blood volume using near-infrared spectroscopy and indocyanine green elimination

1999 ◽  
Vol 87 (5) ◽  
pp. 1981-1987 ◽  
Author(s):  
P. Hopton ◽  
T. S. Walsh ◽  
A. Lee
Keyword(s):  
Infrared Spectroscopy ◽  
Indocyanine Green ◽  
Blood Volume ◽  
Near Infrared Spectroscopy ◽  
High Performance ◽  
Near Infrared ◽  
Cerebral Blood Volume ◽  
Mean Value ◽  
Cerebral Tissue ◽  
Adult Head

Methods for measuring cerebral blood volume (CBV) have traditionally used radioisotopes. More recently, near-infrared spectroscopy (NIRS) has been used to measure CBV by using a technique involving O2 desaturation of cerebral tissue, where the observed change in the concentration of oxygenated hemoglobin is a marker of the volume of blood contained within the brain. A new integration method employing NIRS is described by using indocyanine green (ICG) as the intravascular marker. After bolus injection, concentration-time integrals of cerebral tissue ICG concentration ([ICG]tissue) measured by NIRS are compared with corresponding integrals of the cerebral blood ICG concentrations ([ICG]blood) estimated by high-performance liquid chromatography of peripheral blood samples with allowance for cerebral-to-large-vessel hematocrit ratio. It is shown that[Formula: see text] Measurements in 10 adult volunteers gave a mean value of 1.1 ± 0.39 (SD) ml/100 g illuminated tissue. This result, although lower than previous NIRS estimations, is consistent with the long extracerebral path of light in the adult head. Scaling of results is required to take into account this component of the optical pathlength.

Near-infrared spectroscopy (NIRS) – a promising brain imaging method in Psychiatry?

2008 ◽  
Vol 39 (01) ◽  
Author(s):  
AJ Fallgatter ◽  
AC Ehlis ◽  
MM Richter ◽  
M Schecklmann ◽  
MM Plichta
Keyword(s):  
Infrared Spectroscopy ◽  
Brain Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Imaging Method

A Study of Frontal Signals in Brain Computer Interfaces: Interpretation of EEG & FNIRS

2020 ◽  
pp. 136-142
Author(s):  
S. Srilekha ◽  
B. Vanathi
Keyword(s):  
Infrared Spectroscopy ◽  
Healthy Subject ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Economic Conditions ◽  
Brain Computer Interfaces ◽  
Functional Near Infrared Spectroscopy ◽  
Computer Interfaces ◽  
Rehabilitation Devices

This paper focuses on electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) comparison to help the rehabilitation patients. Both methods have unique techniques and placement of electrodes. Usage of signals are different in application based on the economic conditions. This study helps in choosing the signal for the betterment of analysis. Ten healthy subject datasets of EEG & FNIRS are taken and applied to plot topography separately. Accuracy, Sensitivity, peaks, integral areas, etc are compared and plotted. The main advantages of this study are to prompt their necessities in the analysis of rehabilitation devices to manage their life as a typical individual.

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