Title :
Time-frequency optimized spatial patterns for movement-related EEG decoding
Author :
Bian Wu ; Yiwen Wang ; Weidong Chen ; Xiaoxiang Zheng
Author_Institution :
Dept. of of Biomed. Eng., Zhejiang Univ., Hangzhou, China
fDate :
April 27 2011-May 1 2011
Abstract :
The article presents a new method for motor-related EEG recognition which comprehensively optimizes the frequency-time-space features in a user-specific way. The method creates optimized time and frequency grids and adaptively selects channels for common spatial pattern (CSP) filters to enhance its power. The results show that the optimized features denotes a specific perspective to visualize frequency-time-spatial characteristics of motor-related EEGs, and can be used to achieve high classification accuracy.
Keywords :
biomechanics; decoding; electroencephalography; medical signal processing; signal classification; time-frequency analysis; common spatial pattern filters; frequency-time-space features; high classification accuracy; motor-related EEG recognition; movement-related EEG decoding; time-frequency optimized spatial patterns; Accuracy; Classification algorithms; Electroencephalography; Fingers; Merging; Pressing; Time frequency analysis;
Conference_Titel :
Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-4140-2
DOI :
10.1109/NER.2011.5910494
