TY - JOUR T1 - Multi-channel linear descriptors for event-related EEG collected in brain computer interface. JF - J Neural Eng Y1 - 2006 A1 - Pei, Xiao-Mei A1 - Zheng, Shi Dong A1 - Xu, Jin A1 - Bin, Guang-yu A1 - Zuoguan Wang KW - Algorithms KW - Electroencephalography KW - Evoked Potentials, Motor KW - Humans KW - Imagination KW - Motor Cortex KW - Movement KW - Pattern Recognition, Automated KW - Reproducibility of Results KW - Sensitivity and Specificity KW - User-Computer Interface AB -

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.

VL - 3 UR - http://www.ncbi.nlm.nih.gov/pubmed/16510942 IS - 1 ER - TY - JOUR T1 - Progress of brain-neural function informatics. JF - Zhongguo Yi Liao Qi Xie Za Zhi Y1 - 2006 A1 - Zheng, Shi Dong A1 - Pei, Xiao-Mei A1 - Xu, Jin KW - Animals KW - Biomedical Engineering KW - Brain KW - Brain Diseases KW - Computing Methodologies KW - Humans KW - Informatics KW - Nervous System Physiological Phenomena AB -

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.

VL - 30 UR - http://www.ncbi.nlm.nih.gov/pubmed/17300003 IS - 6 ER -