Identification of gait-related brain activity CP using electroencephalographic signals

Jingwen Chai, Gong Chen, Pavithra Thangavel, Georgios N. Dimitrakopoulos, Ioannis Kakkos, Yu Sun, Zhongxiang Dai, Haoyong Yu, Nitish V Thakor, Anastasios Bezerianos, Junhua Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Restoring normal walking abilities following the loss of them is a challenge. Importantly, there is a growing need for a better understanding of brain plasticity CP and the neural involvements for the initiation and control of these abilities so as to develop better rehabilitation programmes and external support devices. In this paper, we attempt to identify gait-related neural activities by decoding neural signals obtained from electroencephalography (EEG) measurements while subjects performed three types of walking: without exoskeleton (free walking), and with exoskeleton support (zero force and assisting force). An average classification accuracy of 92.0% for training and 73.8% for testing sets was achieved using features extracted from mu and beta frequency bands. Furthermore, we found that mu band features contributed significantly to the classification accuracy and were localized mainly in sensorimotor regions that are associated with the control of the exoskeleton. These findings contribute meaningful insight on the neural dynamics associated with lower limb movements and provide useful information for future developments of orthotic devices and rehabilitation programs.

Original languageEnglish (US)
Title of host publication8th International IEEE EMBS Conference on Neural Engineering, NER 2017
PublisherIEEE Computer Society
Pages548-551
Number of pages4
ISBN (Electronic)9781538619162
DOIs
StatePublished - Aug 10 2017
Externally publishedYes
Event8th International IEEE EMBS Conference on Neural Engineering, NER 2017 - Shanghai, China
Duration: May 25 2017May 28 2017

Other

Other8th International IEEE EMBS Conference on Neural Engineering, NER 2017
CountryChina
CityShanghai
Period5/25/175/28/17

Fingerprint

Patient rehabilitation
Brain
Orthotics
Electroencephalography
Frequency bands
Plasticity
Decoding
Testing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Chai, J., Chen, G., Thangavel, P., Dimitrakopoulos, G. N., Kakkos, I., Sun, Y., ... Li, J. (2017). Identification of gait-related brain activity CP using electroencephalographic signals. In 8th International IEEE EMBS Conference on Neural Engineering, NER 2017 (pp. 548-551). [8008410] IEEE Computer Society. https://doi.org/10.1109/NER.2017.8008410

Identification of gait-related brain activity CP using electroencephalographic signals. / Chai, Jingwen; Chen, Gong; Thangavel, Pavithra; Dimitrakopoulos, Georgios N.; Kakkos, Ioannis; Sun, Yu; Dai, Zhongxiang; Yu, Haoyong; Thakor, Nitish V; Bezerianos, Anastasios; Li, Junhua.

8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society, 2017. p. 548-551 8008410.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chai, J, Chen, G, Thangavel, P, Dimitrakopoulos, GN, Kakkos, I, Sun, Y, Dai, Z, Yu, H, Thakor, NV, Bezerianos, A & Li, J 2017, Identification of gait-related brain activity CP using electroencephalographic signals. in 8th International IEEE EMBS Conference on Neural Engineering, NER 2017., 8008410, IEEE Computer Society, pp. 548-551, 8th International IEEE EMBS Conference on Neural Engineering, NER 2017, Shanghai, China, 5/25/17. https://doi.org/10.1109/NER.2017.8008410
Chai J, Chen G, Thangavel P, Dimitrakopoulos GN, Kakkos I, Sun Y et al. Identification of gait-related brain activity CP using electroencephalographic signals. In 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society. 2017. p. 548-551. 8008410 https://doi.org/10.1109/NER.2017.8008410
Chai, Jingwen ; Chen, Gong ; Thangavel, Pavithra ; Dimitrakopoulos, Georgios N. ; Kakkos, Ioannis ; Sun, Yu ; Dai, Zhongxiang ; Yu, Haoyong ; Thakor, Nitish V ; Bezerianos, Anastasios ; Li, Junhua. / Identification of gait-related brain activity CP using electroencephalographic signals. 8th International IEEE EMBS Conference on Neural Engineering, NER 2017. IEEE Computer Society, 2017. pp. 548-551
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