NDLI: Novel feature of the EEG based motor imagery BCI system: Degree of imagery

Content Provider	IEEE Xplore Digital Library
Author	Yi-Hung Liu Ching-An Cheng Han-Pang Huang
Copyright Year	2011
Description	Author affiliation: Department of Mechanical Engineering, Chung Yuan Christian University, Chungli, Taiwan (Yi-Hung Liu) \|\| Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan (Ching-An Cheng; Han-Pang Huang)
Abstract	Motor imagery recognition has been considered an important topic in the brain-computer interface (BCI) community. Due to noises and artifacts in signals, how to gain satisfactory classification accuracy is still a critical issue. We propose in this paper a novel feature to address this issue. The method consists of three steps. Firstly, EEG signals from different electrodes are transformed by Time-Frequency Analysis method, in this paper Hilbert-Huang Transform. A set of features, Degree of Imagery (DOI) are then extracted from the spectrums by the proposed feature extraction method. The features can effectively represent the event-related-desynchronization (ERD) during motor imagery. Experimental results on the BCI 2003 competition dataset III indicate that our method achieves better classification accuracy and higher mutual information (MI) than other researches using the same dataset and with low computational time, which is capable of real-time usage.
Starting Page	515
Ending Page	520
File Size	197170
Page Count	6
File Format	PDF
ISBN	9781612843513
e-ISBN	9781612844718
e-ISBN	9781612844725
DOI	10.1109/ICSSE.2011.5961957
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Brain-computer interface Hilbert-Huang transform Accuracy Transforms Brain modeling Feature extraction Event related desynchronization Electroencephalography Motor imagery Degree of imagery (DOI) Mutual information
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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