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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...
Functional near infrared spectroscopy (fNIRS) as a relatively new brain imaging technique is increasingly being used for functional brain assessment. This however, needs robust hemodynamic features to be extracted in an appropriate time interval from proper brain's location. In this research, we performed a statistical analysis to evaluate the effect of such parameters as chromophore type, hemisphere,...
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...
Brain activity is usually measured by non-invasive modalities. Inter alia, the electroencephalogram (EEG) is used most commonly. However, EEG is very sensitive to other biosignals, so other bio-signal detection modalities must be used as supplementary systems. Functional near-infrared spectroscopy (fNIRS) has good characteristics for use as such a supplementary modality, because brain activities can...
This work investigates the potential of a four-class motor-imagery-based brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS). Four motor imagery tasks (right hand, left hand, right foot, and left foot tapping) were executed while motor cortex activity was recorded via fNIRS. Preliminary results from three participants suggest that this could be a viable BCI interface,...
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...
We describe here the design, set-up and first time classification results of a novel co-locational functional Near-Infrared Spectroscopy/Electroencephalography (fNIRS/EEG) recording device suitable for brain computer interfacing applications using neural-hemodynamic signals. Our dual-modality system recorded both hemodynamic and electrical activity at seven sites over the motor cortex during an overt...
A brain-computer interface (BCI) to detect motor imagery from cerebrum hemodynamic data measured by NIRS (near-infrared spectroscopy) was constructed and the effect of the online feedback training for subjects was evaluated. Concentrations of Oxy- and deOxy-hemoglobin in the motor cortex during motor imagery of subject's right hand was measured by 52-channel NIRS system, and the mean magnitude of...
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