scholarly journals A New Approach for Automatic Removal of Movement Artifacts in Near-Infrared Spectroscopy Time Series by Means of Acceleration Data

Algorithms ◽  
2015 ◽  
Vol 8 (4) ◽  
pp. 1052-1075 ◽  
Author(s):  
Andreas Metz ◽  
Martin Wolf ◽  
Peter Achermann ◽  
Felix Scholkmann
Heart & Lung ◽  
2010 ◽  
Vol 39 (6) ◽  
pp. 485-493 ◽  
Author(s):  
Céline Gélinas ◽  
Manon Choinière ◽  
Manon Ranger ◽  
André Denault ◽  
Alain Deschamps ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Truong Quang Dang Khoa ◽  
Vo Van Toi

Nonlinear physics presents us with a perplexing variety of complicated fractal objects and strange sets. Naturally one wishes to characterize the objects and describe the events occurring on them. Moreover, most time series found in “real-life” applications appear quite noisy. Therefore, at almost every point in time, they cannot be approximated either by the Taylor series or by the Fourier series of just a few terms. Many experimental time series have fractal features and display singular behavior, the so-called singularities. The multifractal spectrum quantifies the degree of fractals in the processes generating the time series. A novel definition is proposed called full-width Hölder exponents that indicate maximum expansion of multifractal spectrum. The obtained results have demonstrated the multifractal structure of near-infrared spectroscopy time series and the evidence for brain imagery activities.


NIR news ◽  
2005 ◽  
Vol 16 (6) ◽  
pp. 10-12
Author(s):  
Marina Zoccola ◽  
Raffaella Mossotti ◽  
Riccardo Innocenti ◽  
Dora I. Loria ◽  
Stefano Rosso ◽  
...  

2009 ◽  
Vol 48 (10) ◽  
pp. D280 ◽  
Author(s):  
Theodore J. Huppert ◽  
Solomon G. Diamond ◽  
Maria A. Franceschini ◽  
David A. Boas

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