Independent Component Analysis for Emerging Technique in Brain Signal Processing
In this research, we investigate the independent component analysis (ICA) in analyzing the source brain signals. The ICA has been utilized by many researchers in brain engineering fields including electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), functional magnetic resonance imaging (fMRI). The ICA has been a good technique to obtain the independent components of the unobservable source signals. Using the ICA method, it can enhance the detection of brain signals, in which the signal to noise ratio are increased during the particular tasks than while resting.
[Independent component analysis]
Hemodynamic response in the human auditory cortex
In humans, the brain asymmetry has been observed in terms of anatomy and function. The lateralization auditory cortex of the left hemisphere for speech processing and right hemisphere for music processing was one the earliest observation of brain asymmetry. In this research, we investigate the effects of different tasks in auditory cortex activation using functional near-infrared spectroscopy.
[Experimental paradigm and results of audio cortex activation]
Human can be able to focus one’s listening attention on a single stimulus among many conversations and background noise. In the second part, we investigate the hemodynamic response to reconstruct various audio stimuli.
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[Reconstructing audio stimuli from human auditory corte x]