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Geometric Brownian motion (GBM) random process model appears to be an excellent choice for modeling realizations of PERCLOS signals - 2017
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Article (Scientific journals)
Geometric Brownian motion (GBM) random process model appears to be an excellent choice for modeling realizations of PERCLOS signals
Ebrahimbabaie Varnosfaderani, Pouyan
;
Verly, Jacques
2017
•
In
Sleep Medicine, 40
(1), p. 86
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/2268/220935
DOI
10.1016/j.sleep.2017.11.246
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PERCLOS-Sleep Medcine Jouranal-20180214.pdf
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Keywords :
Geometric Brownian motion; GBM; Percentage Closure; PERCLOS; Random process; Drowsiness; Somnolence; Sleep; Driving
Disciplines :
Electrical & electronics engineering
Author, co-author :
Ebrahimbabaie Varnosfaderani, Pouyan
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore)
Verly, Jacques
;
Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore)
Language :
English
Title :
Geometric Brownian motion (GBM) random process model appears to be an excellent choice for modeling realizations of PERCLOS signals
Publication date :
December 2017
Journal title :
Sleep Medicine
ISSN :
1389-9457
eISSN :
1878-5506
Publisher :
Elsevier, liege, Netherlands
Volume :
40
Issue :
1
Pages :
e86
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 02 March 2018
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