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Phase Information for Classification Between Clench Speed and Clench Force Motor Imagery
Xu BL(徐保磊); Fu YF(伏云发); Shi G(石刚); Yin XX(尹旭贤); Wang ZD(王志东); Li HY(李洪谊)
Department机器人学研究室
Source PublicationSensors & Transducers
ISSN2306-8515
2014
Volume170Issue:5Pages:234-240
Indexed ByEI
EI Accession number20151100627118
Contribution Rank1
KeywordPhase Brain-computer Interface (Bci) Motor Parameters Imagery Memd Hilbert Transform
AbstractIn this paper, we investigate the phase information for classification between clench speed and clench force motor imagery for BCI applications. The multivariate extensions of empirical mode decomposition (MEMD) are used to decompose EEG data into intrinsic mode functions (IMFs). Then, the phase information is got by transforming IMFs into analytic signal using Hiblert transforms. Six feature types are compared in the paper for channel C3, Cz and C4: the amplitude of IMFs, the power of IMFs, the amplitude of the corresponding analytic signal, the instantaneous phase of the analytic signal, the instantaneous frequency of the analytic signal and the phase-locking value (PLV) between two channels. The support vector machine with 5-fold crossvalidation is used to classify clench speed motor imagery from clench force motor imagery. The results show that for some subjects the instantaneous phase can get the best results, while PLV never performs best compared with other features. The minimum classification error rate of 0.25 is reached in our research.
Language英语
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15471
Collection机器人学研究室
Corresponding AuthorXu BL(徐保磊)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.School of Automation and Information Engineering, Kunming University of Science and Technology, Kunming, China
4.Dept of Advanced Robotics, Chiba Institute of Technology, Chiba, Japan
5.School of Mechanical Engineering & Automation, Northeastern University, Shenyang, China
Recommended Citation
GB/T 7714
Xu BL,Fu YF,Shi G,et al. Phase Information for Classification Between Clench Speed and Clench Force Motor Imagery[J]. Sensors & Transducers,2014,170(5):234-240.
APA Xu BL,Fu YF,Shi G,Yin XX,Wang ZD,&Li HY.(2014).Phase Information for Classification Between Clench Speed and Clench Force Motor Imagery.Sensors & Transducers,170(5),234-240.
MLA Xu BL,et al."Phase Information for Classification Between Clench Speed and Clench Force Motor Imagery".Sensors & Transducers 170.5(2014):234-240.
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