Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71123
Title: Neuronal optical response recognition based on chaos levels identification of near-infrared spectroscopy time series
Authors: Hu, X.-S.
Hong, K.-S.
Ge, S.S. 
Keywords: Brain Signal
Chaotic Characteristics
Fast Neuronal Response
Near-Infrared Spectroscopy (Nirs)
Issue Date: 2011
Source: Hu, X.-S.,Hong, K.-S.,Ge, S.S. (2011). Neuronal optical response recognition based on chaos levels identification of near-infrared spectroscopy time series. Proceedings of the 30th Chinese Control Conference, CCC 2011 : 3218-3220. ScholarBank@NUS Repository.
Abstract: Near-infrared spectroscopy (NIRS) can detect two different kinds of signals from the human brain: the hemodynamic (slow) optical response, and the neuronal (fast) optical response. This paper explores the nonlinear aspects of the tactile-stimulus-evoked neuronal optical response (fast optical response) over a NIRS time series (light intensity variation). The fast optical responses (FORs) over time series recorded in stimulus sessions are confirmed by event-related averaging. The chaos levels of NIRS time series recorded both in stimulus and in rest sessions are then identified according to the estimated largest Lyapunov exponent. The obtained results strongly suggest that the chaos level can be used to recognize the FORs in NIRS time series and, thereby, the state of the pertinent brain activity. © 2011 Chinese Assoc of Automati.
Source Title: Proceedings of the 30th Chinese Control Conference, CCC 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/71123
ISBN: 9789881725592
Appears in Collections:Staff Publications

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