Title :
Phase Synchronization Analysis and Support Vector Machine for Recognition of Mental Tasks
Author :
Aihua, Zhang ; Yuhan, Zhao
Author_Institution :
Lanzhou Univ. of Technol.
Abstract :
A measuring method of phase synchronization is presented for analyzing event-related electroencephalogram (EEG) recordings. The mean phase coherence (MPC) of EEG recordings during imagination of hand movement is calculated. Furthermore, the support vector machine is used for classification of the mental tasks. The preliminary results suggest that MPC could be promising method for brain-computer interfaces. Dynamic MPC measurement provides a new idea for recognition of mental tasks
Keywords :
electroencephalography; handicapped aids; medical signal processing; signal classification; support vector machines; EEG; brain-computer interfaces; event-related electroencephalogram; hand movement imagination; mean phase coherence; mental task classification; mental task recognition; phase synchronization analysis; support vector machine; Biomedical measurements; Brain computer interfaces; Brain modeling; Electroencephalography; Feature extraction; Frequency estimation; Frequency synchronization; Phase measurement; Support vector machine classification; Support vector machines;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615696
