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Manoj Kumar Mukul,Fumitoshi Matsuno 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
To curtail the Electrode placement time and accelerate the process it is required to record two channels placed on right and left hemisphere of brain based on active region depending on mental task. Raw EEG signals are contaminated with various kinds of noise such as ocular artifacts (EOG) and high frequency mussel noise etc. This paper is an application of wavelet transform based on Filter bank approach whereby it is possible to extract the noise free sub-band signal from noisy EEG signal. The performance of the Extracted Sub-band Components has been evaluated by taking the Power Spectral density for left hemisphere as well as right hemisphere channel sub-band components.
Relative Spectral Power and Power Spectral Density Changes in Motor Rhythm for Movement Imagination
Manoj Kumar Mukul,Rajkishore Prasad,Fumitoshi Matsuno 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
EEG signals are not the direct access to the level of thought and thought related actions but it represents shadow of that and hence to some extent thought related patterns can be inferred and used for controlling action The Useful information contained in EEG signal is in the form of EEG Rhythm. Rhythmic analysis of EEG signal is very important for extraction of good features for classification of movement imagery data. This paper proposed the feature which is sum of power spectral density of left hemisphere channel (C3) as well as right hemisphere channel (C4) for movement imagery trials.