Near-infrared spectroscopy using period-chirped Si/SiO/SiO₂-based guided mode resonance filter

2021 ◽  
Author(s):  
Yung-Jr Hung ◽  
CHUAN-CI Yin ◽  
Zon-Ru Wu ◽  
CHIH-YUEH Lin ◽  
CHIA-WEI Kao ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Guided Mode ◽  
Guided Mode Resonance

Quantification of Silymarin in Silybum marianum with near-infrared spectroscopy: a comparison of benchtop vs. handheld devices

2019 ◽  
Author(s):  
S Mayr ◽  
S Strasser ◽  
CG Kirchler ◽  
S Stuppner ◽  
S Sturm ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Handheld Devices ◽  
Silybum Marianum

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

Dynamics of human neurovascular coupling resolved in the millisecond range using dc-magnetoencephalography and time-resolved near-infrared spectroscopy

2008 ◽  
Vol 39 (01) ◽  
Author(s):  
S Leistner ◽  
T Sander-Thoemmes ◽  
H Wabnitz ◽  
M Burghoff ◽  
L Trahms ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Neurovascular Coupling ◽  
Time Resolved ◽  
Millisecond Range

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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