Add to Google Calendar
Date:  Tue, March 03, 2009
Time:  10:30 am
Location:  Holmes Hall 389
Speaker:  Dr. Tomasz M. Rutkowski

Abstract

A problem of information separation in multichannel recordings is important in engineering applications such as brain computer machine interfaces (BCI/BMI) which relay on responses to affective, emotional, musical stimuli recognition. Whereas this problem is not entirely new, engineering approaches connecting the mental states of humans and the observed electroencephalography (EEG) recordings are still in their infancy, mostly due to problems with electrophysiological signals denoising. The electrophysiological signals captured in form of the EEG carry brain activity in form of the neurophysiological components which are usually embedded in much higher power electrical muscle activity components (electromyography - EMG; electrooculography - EOG; etc.). We will present an approach which decomposes multichannel EEG (or multimodal signals in general) into subcomponents while preserving their non-linear and non-stationary features. Such decomposition allows us later to find similar subcomponents (activities) across different channels (modalities) leading to interference separation and stimuli related features extraction in time-frequency domain.

Dr. Tomasz M. Rutkowski is a research scientist in the RIKEN Brain Science Institute, Japan. He received a PhD in telecommunications and acoustics from Wroclaw University of Technology, Poland. He is a member of IEEE Engineering in Medicine and Biology and Signal Processing Societies, as well Japanese Neuroscience Society.