Study on Brain Plasticity of EEG Signals Based on Motor Imagination Training
Science Innovation
Volume 8, Issue 2, April 2020, Pages: 48-53
Received: May 13, 2020; Published: May 19, 2020
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Authors
Yu Rui, Nanjing Research Institute of Electronic Technology, Nanjing, China
Yin Kuiying, Nanjing Research Institute of Electronic Technology, Nanjing, China
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Abstract
To explore the effects of hand motion imagery on brain plasticity for use in guiding disabled people to use robotic arms, this paper designed a comparison experiment between the disabled and normal people, and collected the EEG data of 4 subjects (2 disabled men who lost their right hands and 2 normal men) for five weeks of training. What’s more, this paper compared and analyzed the collected EEG rhythm through the brain topographic map. The results showed that after training, the disabled people could produce ERD in both the μ and β frequency bands, and the longer the training time, the more obvious the ERD phenomenon was. This paper also uses the common space pattern algorithm and support vector machine to extract and classify the features of EEG signals. The results show that the classification accuracy of the disabled can reach more than 85%, and that of the normal can reach more than 90%. Based on the results of brain topographical map and classification, this paper concludes that motor imagination training can have a positive effect on the brain of people with impaired motor area, which provides a neurophysiological basis for the extensive application of motor imagination training in the field of rehabilitation.
Keywords
Motion Imagination, Brain Plasticity, Brain Topographic Map, Feature Extraction
To cite this article
Yu Rui, Yin Kuiying, Study on Brain Plasticity of EEG Signals Based on Motor Imagination Training, Science Innovation. Vol. 8, No. 2, 2020, pp. 48-53. doi: 10.11648/j.si.20200802.16
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