In-vivo optical spectroscopy in the time-domain beyond 1100 nm

2013 ◽  
Author(s):  
I. Bargigia ◽  
A. Tosi ◽  
A. Bahgat Shehata ◽  
A. Della Frera ◽  
A. Farina ◽  
...  
Keyword(s):  
Optical Spectroscopy ◽  
Time Domain ◽  
The Time Domain

scholarly journals Special Issue on New Horizons in Time Domain Diffuse Optical Spectroscopy and Imaging

2020 ◽  
Vol 10 (8) ◽  
pp. 2752
Author(s):  
Yoko Hoshi
Keyword(s):  
Infrared Spectroscopy ◽  
Optical Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Time Domain ◽  
Near Infrared ◽  
Special Issue ◽  
Diffuse Optical Spectroscopy ◽  
New Horizons

In 1977, Jöbsis first described the in vivo application of near-infrared spectroscopy (NIRS) [...]

Improving data acquisition parameters of 31P in vivo spectra for signal analysis in the time domain

Biochimie ◽  
1992 ◽  
Vol 74 (9-10) ◽  
pp. 769-776 ◽  
Author(s):  
Y. Zaim-Wadghiri ◽  
A. Diop ◽  
D. Graveron-Demilly ◽  
A. Briguet
Keyword(s):  
Data Acquisition ◽  
Time Domain ◽  
Signal Analysis ◽  
The Time Domain

scholarly journals In vivo time domain speckle contrast optical spectroscopy

2019 ◽  
Author(s):  
Marco Pagliazzi ◽  
Ernesto E. Vidal-Rosas ◽  
Sanathana Konugolu Venkata Sekar ◽  
Laura Di Sieno ◽  
Lorenzo Colombo ◽  
...  
Keyword(s):  
Optical Spectroscopy ◽  
Time Domain ◽  
Speckle Contrast

Coherence at 16-32 Hz Can Be Caused by Short-Term Synchrony of Motor Units

2005 ◽  
Vol 94 (1) ◽  
pp. 105-118 ◽  
Author(s):  
Chet T. Moritz ◽  
Evangelos A. Christou ◽  
François G. Meyer ◽  
Roger M. Enoka
Keyword(s):  
Motor Unit ◽  
Motor Neurons ◽  
Time Domain ◽  
Motor Units ◽  
Motor Unit Synchronization ◽  
The Cross ◽  
Highly Correlated ◽  
The Time Domain ◽  
Coherence Spectrum

Time- and frequency-domain measures of discharge times for pairs of motor units are used to infer the proportion of common synaptic input received by motor neurons. The physiological mechanisms that can produce the experimentally observed peaks in the cross-correlation histogram and the coherence spectrum are uncertain. The present study used a computational model to impose synchronization on the discharge times of motor units. Randomly selected discharge times of a unit that was being synchronized to a reference unit were aligned with some of the discharge times of the reference unit, provided the original discharge time was within 30 ms of the discharge by the reference unit. All time-domain measures (indexes CIS, E, and k′) were sensitive to changes in the level of imposed motor-unit synchronization ( P < 0.01). In addition, synchronization caused a peak between 16 and 32 Hz in the coherence spectrum. The shape of the cross-correlogram determined the frequency at which the peak occurred in the coherence spectrum. Further, the magnitude of the coherence peak was highly correlated with the time-domain measures of motor-unit synchronization ( r2 > 0.80), with the highest correlation occurring for index E ( r2 = 0.98). Thus the peak in the 16- to 32-Hz band of the coherence spectrum can be caused by the time that individual discharges are advanced or delayed to produce synchrony. Although the in vivo processes that adjust the timing of motor-unit discharges are not fully understood, these results suggest that they may not depend entirely on an oscillatory drive by the CNS.

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