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author:

Lin, Z. (Lin, Z..) [1] | Huang, Z. (Huang, Z..) [2]

Indexed by:

Scopus

Abstract:

The prospect of Motor Imagery (MI) BCI is attracting the researchers around the world. For MI BCI, training a user is a difficult and time-consuming task. This study aims at finding the pattern of Event-related Potentials, by which we can improve the training process, during training MI users. We designed the experiments, acquired the EEG signals and analyzed them during the periods when the subjects were executing the training trials and when they completed the training trials. The results show that the obvious potential patterns that are related to small probability events exist in the both situations and the elicited potentials on frontal lobe are commonly stronger than ones on other brain areas. We speculate that Attention Mechanism is deeply involved in the process of MI training. The finding would underlie our future work intending to develop the new MI training means and algorithm. © 2017 IEEE.

Keyword:

Brain-computer interface (BCI); Continuous feedback; EEG; Event-related potentials (ERPs); Motor Imagery

Community:

  • [ 1 ] [Lin, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Huang, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Huang, Z.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017

Year: 2018

Volume: 2018-January

Page: 1-6

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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