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In this paper, we investigate active brain regions for motor execution and motor imagination tasks after training with a rehabilitation robot. Functional near-infrared spectroscopy (fNIRS) is used to measure the hemodynamic responses in the motor cortices of five subjects. An assistive robot (IMT 2.0, connected to the right hand) is used during the training session to make the subject to reach a target...
In this study, we have used functional near-infrared spectroscopy (fNIRS) to measure the hemodynamic response in the visual cortex. We concurrently measure and discriminate the fNIRS signals evoked by three different color stimuli: red, green, and blue (RGB) colors. Seven healthy subjects were asked to perform the RGB color stimuli experiment during a 10 s task and 25 s rest period. Using a continuous-wave...
In this paper, we investigate the feasibility of identifying the functional near-infrared spectroscopy (fNIRS) signal occurred from a single trial arithmetic task, in which the rest state hemodynamic response (HR), the occurrence of an initial dip, and the regular hemodynamic response are involved. fNIRS signals are measured from five healthy subjects for mental arithmetic tasks from the prefrontal...
In this research, we have investigated the detection of drowsiness activity in dorsolateral-prefrontal cortex in three different time windows (0∼3 sec, 0∼4 sec and 0∼5 sec) using functional near-infrared spectroscopy (fNIRS). Five drowsy subjects participated in a simulated driving task while their brain activity is monitored using fNIRS. The recorded brain activity is segmented into three windows...
The ‘cocktail party effect’ has the ability to focus on one audio stimulus while interfered from other stimuli or noise. It will be interesting to extract multi-response in human auditory cortex for multi audio-stimuli. Functional near-infrared spectroscopy (fNIRS) technique is used to measure hemoglobin changes in the auditory cortex, when a subject listens to the multiple audio-stimuli. As a silent...
In this paper, we have demonstrated the ability of functional near-infrared spectroscopy (fNIRS) system to detect spontaneous lie in an interactive game paradigm. Brain signals from prefrontal cortex area of four healthy male subjects were collected using wireless fNIRS system. Oxy and deoxy-hemoglobin (HbO and HbR) signals were used to define the features and then data was classified using linear...
In this paper we investigate the role of different temporal windows in classification of functional near-infrared spectroscopy (fNIRS) signals corresponding to mental arithmetic and mental counting for development of a brain-computer interface. Signals are acquired from the prefrontal cortex of four healthy subjects during mental arithmetic and mental counting tasks using a continuous-wave fNIRS system,...
This paper presents a methodology for online estimation of brain activities with reduction in the effects of physiological noises in functional near-infrared spectroscopy signals. The input–output characteristics of a hemodynamic response are modeled as an autoregressive moving average model together with exogenous physical signals (i.e., ARMAX). In contrast to the fixed design matrix in the conventional...
In this paper we classify the functional near-infrared spectroscopy (fNIRS) signals corresponding to right-and left-wrist motor imagery using various temporal windows of the response data. Signals are acquired from the primary motor cortex of five healthy subjects during right- and left-wrist motor imagery tasks using a continuous wave fNIRS system. Linear discriminant analysis is used to classify...
The purpose in this paper is to reduced noise of hemodynamic response including physiological noises and motion artifacts. We measured neuronal activation coupled hemodynamic response using functional near infrared spectroscopy (fNIRS) from five subjects during arithmetical task in the prefrontal cortex. Blind separation into independent components (ICs) as good technique for signal processing is...
Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique that recently has been used to measure changes in cerebral blood oxygenation associated with brain activity. Numbers of research groups have applied general linear model (GLM) based method to analyze the NIRS data. However, classical GLM based method cannot provide on-line analysis. Therefore, its usage is constrained in processing...
Near infrared spectroscopy (NIRS) is an effective technique for examining functional brain activity during cognitive tasks by enabling the measurement of the concentration changes of oxy-hemoglobin and deoxy-hemoglobin. In NIRS data analysis, accurate estimation of the hemodynamic response function (HRF) is still under investigation. Most existing methods assume that the shape of the HRF to be known...
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