论文信息 - Spatial Auditory BCI/BMI Paradigm - Multichannel EMD Approach to Brain Responses Estimation

Spatial Auditory BCI/BMI Paradigm - Multichannel EMD Approach to Brain Responses Estimation

A novel spatial auditory BCI/BMI paradigm is proposed which is based on responses to 7.1 channels surround sound audio stimuli. The approach is based on a monitoring of brain electrical activity by means of the electroencephalogram (EEG) with utilization of a multichannel EMD technique. Owing to its non-invasive nature, the EEG based BCI/BMI are envisaged to be at the core of future intelligent prosthetic. A spatial auditory stimulus is a very interesting and not mentally demanding paradigm receiving recently more attention in computational neuroscience applications due to involvement of a secondary in human-machine-interaction auditory modality. We propose to utilize spatial audio stimuli design and application in n ew BCI/BMI paradigms where users intentionally direct their atten- tion to different locations in surround sound environment with steady-state tonal frequency stimuli.

[1] B. Blankertz,et al. A New Auditory Multi-Class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue , 2010, PloS one.

[2] Andrzej Cichocki,et al. Spatial auditory paradigms for brain computer/machine interfacing , 2009 .

[3] Andrzej Cichocki,et al. Emotional States Estimation from Multichannel EEG Maps , 2008 .

[4] Allan Kardec Barros,et al. A Multimodal Approach to Communicative Interactivity Classification , 2007, J. VLSI Signal Process..

[5] Ernst Fernando Lopes Da Silva Niedermeyer,et al. Electroencephalography, basic principles, clinical applications, and related fields , 1982 .

[6] Andrzej Cichocki,et al. Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach , 2008 .

[7] Fionn Murtagh,et al. Multidimensional clustering algorithms , 1985 .

[8] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[9] Toshihisa Tanaka,et al. Multichannel spectral pattern separation - An EEG processing application - , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.