Near-infrared spectroscopy of ethylene and ethylene dimer in superfluid helium droplets

2005 ◽  
Vol 122 (10) ◽  
pp. 104307 ◽  
Author(s):  
Iris Scheele ◽  
André Conjusteau ◽  
Carlo Callegari ◽  
Roman Schmied ◽  
Kevin K. Lehmann ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Superfluid Helium ◽  
Near Infrared ◽  
Helium Droplets ◽  
Ethylene Dimer

scholarly journals Large amplitude motion within acetylene–rare gas complexes hosted in helium droplets

2019 ◽  
Vol 21 (3) ◽  
pp. 1038-1045
Author(s):  
Marc Briant ◽  
Alexandra Viel ◽  
Ephriem Mengesha ◽  
Marc-André Gaveau ◽  
Benoît Soep ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Spectral Region ◽  
Large Amplitude ◽  
Near Infrared ◽  
Rare Gas ◽  
Helium Droplets ◽  
Large Amplitude Motion ◽  
Fermi Type

Near-infrared spectroscopy of the C2H2–Ar, Kr complexes was performed in the spectral region overlapping the ν3/ν2 + ν4 + ν5 Fermi-type resonance of C2H2. The HElium NanoDroplet Isolation (HENDI) technique was used for this purpose.

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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