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In this paper, we have used a linear combination of three gamma functions to estimate the location of cortical activation during right-hand thumb finger (RHTF) flexion/extension using functional near-infrared spectroscopy (fNIRS). The three gamma functions are used to model the initial dip, conventional hemodynamic response, and undershoot of oxy-hemoglobin signals. The brain signals of five healthy...
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 generated four active commands using hybrid electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) for quadcopter control in online environment. Mental arithmetic, left hand clench imagery, and left and right eye-movements are used to navigate the quadcopter. Mental arithmetic task (decoded by fNIRS from the prefrontal cortex) is used to move the quadcopter...
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...
A new threshold circle to minimize possible misclassification of initial dips in the functional near-infrared spectroscopy (fNIRS) signals using the vector-based phase analysis is investigated. In contrast to the work in [20] (i.e., the square root of the sum of the squares of oxy- and deoxy-hemoglobins), the peak value of oxy- or deoxy-hemoglobin during the resting state is used. The experiment was...
Transcranial direct current stimulation (tDCS) is one of the noninvasive brain stimulation methods that have been used to study many neuropsychiatric and neurological disorders in humans. tDCS can excite or inhibit the neurons depending upon its polarity. In this study, we have investigated the effect of anodal tDCS on human prefrontal cortex using functional near-infrared spectroscopy (fNIRS), which...
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...
In this paper we analyze and compare the performance of support vector machine (SVM) and artificial neural network (ANN) for classification of fNIRS signals. fNIRS signals due to mental arithmetic and mental counting are acquired from the prefrontal cortex of ten healthy subjects. After preprocessing and filtering, SVM and ANN classification is performed on the same feature set - mean and slope of...
In this paper, we have investigated the feasibility of detecting drowsiness using hemodynamic brain signals for a passive brain-computer interface (BCI). Functional near-infrared spectroscopy (fNIRS) is used to measure the right dorsolateral-prefrontal brain region in order to investigate the hemodynamic changes corresponding to drowsy and alert states. The data is recorded using five drowsy subjects...
In this paper, we have investigated the electroencephalography (EEG) and near-infrared spectroscopy (NIRS) correlates to identify the stimulated brain region for brain-computer interface (BCI). The brain activity of four subjects is recorded using simultaneous acquisition of EEG and NIRS data for a finger tapping motor task. The active brain region is investigated using the brain maps from EEG electrodes...
In this paper, we have proposed a novel control strategy for a quadcopter control using brain signals. A brain-computer interface (BCI) technology is developed using hybrid electroencephalography — near-infrared spectroscopy (EEG-NIRS) system and two commands are used to operate the quadcopter. An active brain signal upon the user's own will is generated using a motor imagery task and a reactive brain...
In this paper, we have evaluated the performance of motor imagery (MI), before and after training by a rehabilitation robot, for brain-computer interface (BCI). A hybrid electroencephalography and near-infrared spectroscopy (EEG-NIRS) system is used to detect the MI by placing the electrodes and optodes around the motor cortex region. Five healthy subjects have participated in the experiment. The...
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,...
The prepartal dietary energy level is tightly correlated with the degree of tissue mobilization that the animal experiences around parturition (giving birth). To better understand the link between the dry period dietary energy management and the inflammatory status around parturition, 12 multiparous Holstein cows were fed for the entire dry period either a high-wheat straw/lower-energy diet to supply...
In this paper, we have combined electroencephalography (EEG) and functional near-infrared spectroscopy (fNRIS) to make a hybrid EEG-NIRS based system for brain-computer interface (BCI). The EEG electrodes were placed on the motor cortex region and the NIRS optodes were set on the prefrontal region. The data of four subjects was acquired using mental arithmetic tasks and motor imageries of the left-...
In this paper, we have demonstrated the ability of a new multi-channel near-infrared spectroscopy (NIRS) system to detect deception in a concealed information test (CIT) paradigm. Brain signals from prefrontal cortex area of four healthy male subjects are collected using two different machines for comparison. Oxy and deoxy-hemoglobin (HbO and HbR) signals are used to define the features and then data...
One of the aims of brain-computer interface (BCI) is to restore the means of communication for people suffering severe motor impairment, anarthria, or persisting in a vegetative state. Yes/no decoding with the help of an imaging technology such as functional near-infrared spectroscopy (fNIRS) can make this goal a reality. fNIRS is a relatively new non-invasive optical imaging modality offering the...
In this paper we have classified two movement intensions (left and right) using mental arithmetic and mental counting for development of brain-computer interface (BCI). Mental arithmetic task was associated to left movement intension and right movement intension was acquired using mental counting. The brain signals of four healthy subjects were acquired using functional near-infrared spectroscopy...
It is known that approximately 80% of blood is composed of water (H2O); we developed an algorithm which compensates the light absorbed by the water to improve the signal strength of oxy- and deoxy-hemoglobin (HbO and HbR) during mental activity. To practically implement the proposed algorithm, a new tri-wavelength LED based NIRS systems is used which is capable of detecting not only the concentration...
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