[1]Lu Peng,Niu Xin,Liu Sujie,et al.Study on Single Trial Detection of Readiness Potentials[J].Journal of Zhengzhou University (Engineering Science),2018,39(04):70-74.[doi:1013705/j.issn.1671-68332018.04003]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
39
Number of periods:
2018 04
Page number:
70-74
Column:
Public date:
2018-07-22
- Title:
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Study on Single Trial Detection of Readiness Potentials
- Author(s):
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Lu Peng; Niu Xin; Liu Sujie; Hu Yuxia; Hu Hanghang
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School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan 450001
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- Keywords:
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EEG signal; Myoelectric signal Motor; readiness potential; Wavelet packet transform; Power spectrum analysis; Support vector machine
- CLC:
-
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- DOI:
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1013705/j.issn.1671-68332018.04003
- Abstract:
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Aiming at locating the atarting time of autonomous motion, the EMG signal before the volunteers autonomous motion was taken as the research object. The EMG activation trigger point was selected as the starting time of autonomous motion, and then the effective time segment was determined. The frequency section of the motion preparation potential was difficult to be determined, the effective frequency band was determined by the method of combining the wavelet packet transform and the power spectrum analysis. The energy, mean and variance of the extracted signal were characterized by the support vector machine (SVM) for single detection of RP. The experimental resultts showed that: in the process of self motion of single detection RP, 15subjects in 9 experiment the highest detection rate was 77.5%-91.3%;each participant of the 9 groups the average detection rate was 68.2%-91.2%. The results of this paper could be useful to the application of motion preparation potential in asynchronous BCI system.