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学术报告 - Brain Computer Interfaces for Interacting with Electric and Electronic Devices at Home

来源:未知 时间:2010年07月29日 00:00:00 作者:刘华 点击:

计算机学院学术论坛报告

Academic Forum on Computer Science and Technology

特邀报告 总第133

主题报告 Brain Computer Interfaces for Interacting with Electric and Electronic Devices at Home

Dr. Fabio Babiloni(特邀)

报告时间   8月 2日(周一)13:00~14:00

报告地点   上海大学延长校区行健楼734

邀   请   人:    张博锋 教授

报告简介

    Brain Computer Interface (BCI) applications were initially designed to provide to the final user special capabilities like write letters on a screen in order to communicate with others without muscle efforts. In these last years, an interest was developed in the BCI scientific community to bring BCI applications outside the scientific laboratories, to provide useful applications in the normal life first and in a future in more complex environments such in space. Recently, we implemented the control of a domestic environment realized with BCI applications. In the present paper we analyze the methodological approach employed to allow the interaction between subjects and domestic devices by using non invasive EEG recordings. In particular, we analyze whether the use of the cortical activity estimated from non invasive EEG recordings could be useful to detect mental states related to the imagination of limb movements. We estimate cortical activity from high resolution EEG recordings in a group of healthy subjects by using realistic head models. Such cortical activity was estimated in Region of Interest associated with the subject’s Brodmann areas by using depth-weighted minimum norm solutions. Results showed that the use of the cortical estimated activity instead the unprocessed EEG improves the recognition of the mental states associated to the limb movement imagination in the group of normal subjects. The BCI methodology here presented has been used in a group of disable patients in order to give them a suitable control of several electronic devices disposed in a three room environment devoted to the neurorehabilitation. Four of six patients were able to control several electronic devices in the domotic context with the BCI system, having a percentage of correct responses in average over the 63%.

报告人: 

Fabio Babiloni was born in Rome in 1961. He got the master degree in Electronic Engineering at the University of Rome "La Sapienza"and the PhD in Computational Engineering at the Helsinki University of Technology, Helsinki. He is currently Associate Professor of Human Physiology at the Faculty of Medicine of the University of Rome "La Sapienza", Rome, Italy. He is author of more that 140 papers on bioengineering and neurophysiological topics on international peer-reviewed scientific journals, and more than 250 contributions to conferences and books chapter. His total impact factor is more than 290 and his H-index is 26. Prof. Babiloni is president of the International Society of Functional Source Imaging, member of the Italian Society of Physiology and the Italian Society of Clinical Neurophysiology. He is an Associate Editor of four scientific Journals "Frontiers in Neuroscience", "International Journal of Bioelectromagnetism","IEEE Trans. On Neural System and Rehabilitation Engineering", and "Computational Intelligence and Neuroscience".

 

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