%0 Journal Article %J J Neural Eng %D 2006 %T Multi-channel linear descriptors for event-related EEG collected in brain computer interface. %A Pei, Xiao-Mei %A Zheng, Shi Dong %A Xu, Jin %A Bin, Guang-yu %A Zuoguan Wang %K Algorithms %K Electroencephalography %K Evoked Potentials, Motor %K Humans %K Imagination %K Motor Cortex %K Movement %K Pattern Recognition, Automated %K Reproducibility of Results %K Sensitivity and Specificity %K User-Computer Interface %X

By three multi-channel linear descriptors, i.e. spatial complexity (omega), field power (sigma) and frequency of field changes (phi), event-related EEG data within 8-30 Hz were investigated during imagination of left or right hand movement. Studies on the event-related EEG data indicate that a two-channel version of omega, sigma and phi could reflect the antagonistic ERD/ERS patterns over contralateral and ipsilateral areas and also characterize different phases of the changing brain states in the event-related paradigm. Based on the selective two-channel linear descriptors, the left and right hand motor imagery tasks are classified to obtain satisfactory results, which testify the validity of the three linear descriptors omega, sigma and phi for characterizing event-related EEG. The preliminary results show that omega, sigma together with phi have good separability for left and right hand motor imagery tasks, which could be considered for classification of two classes of EEG patterns in the application of brain computer interfaces.

%B J Neural Eng %V 3 %P 52-8 %8 03/2006 %G eng %U http://www.ncbi.nlm.nih.gov/pubmed/16510942 %N 1 %R 10.1088/1741-2560/3/1/006 %0 Journal Article %J Zhongguo Yi Liao Qi Xie Za Zhi %D 2006 %T Progress of brain-neural function informatics. %A Zheng, Shi Dong %A Pei, Xiao-Mei %A Xu, Jin %K Animals %K Biomedical Engineering %K Brain %K Brain Diseases %K Computing Methodologies %K Humans %K Informatics %K Nervous System Physiological Phenomena %X

Firstly the fundamental concept and research hotspots of Brain-Neural Function Informatics (BNFI) are described. Then the main study fields and progresses of BNFI are expounded. Finally the prospects of BNFI research are given. Studies on BNFI not only promote the "Brain Science" progress, but also boost the industry of a new kind of medical instruments - function rehabilitation equipment and artificial functional prostheses.

%B Zhongguo Yi Liao Qi Xie Za Zhi %V 30 %P 399-406, 462 %8 11/2006 %G eng %U http://www.ncbi.nlm.nih.gov/pubmed/17300003 %N 6