Prediction of motor and somatosensory function from human ECoG

Seokyun Ryun, June Sic Kim, Donghyuk Lee, Chun Kee Chung

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

One of the most challenging issues in recent BCI research is not only achieving high performance, but also creating a sense of ownership of artificial devices. To investigate this issue, sensory-motor integrated BMI system should be considered. In this study, we attempted to predict the somatosensory property of tactile stimulus as well as the movement trajectory and type using elctrocorticography (ECoG) signals. We showed that 1) single-trial 3-D movement trajectory can be estimated from low-frequency ECoG signals with relatively high performance, 2) high-gamma activity can be a robust feature for movement type classification, and 3) the location of pressure stimulation can be classified by macro ECoG signals from sensory-related cortical areas. These results might be applied to the closed-loop BMBI systems which simultaneously encode sensory information during movement decoding.

Original languageEnglish
Title of host publication2018 6th International Conference on Brain-Computer Interface, BCI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
Volume2018-January
ISBN (Electronic)9781538625743
DOIs
StatePublished - 9 Mar 2018
Event6th International Conference on Brain-Computer Interface, BCI 2018 - GangWon, Korea, Republic of
Duration: 15 Jan 201817 Jan 2018

Other

Other6th International Conference on Brain-Computer Interface, BCI 2018
CountryKorea, Republic of
CityGangWon
Period15/01/1817/01/18

Fingerprint

Ownership
Touch
Trajectories
Pressure
Equipment and Supplies
Research
Closed loop systems
Macros
Decoding

Keywords

  • brain-machine interface
  • electrocorticography
  • primary motor cortex
  • primary somatosensory cortex

Cite this

Ryun, S., Kim, J. S., Lee, D., & Chung, C. K. (2018). Prediction of motor and somatosensory function from human ECoG. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018 (Vol. 2018-January, pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2018.8311505
Ryun, Seokyun ; Kim, June Sic ; Lee, Donghyuk ; Chung, Chun Kee. / Prediction of motor and somatosensory function from human ECoG. 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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Ryun, S, Kim, JS, Lee, D & Chung, CK 2018, Prediction of motor and somatosensory function from human ECoG. in 2018 6th International Conference on Brain-Computer Interface, BCI 2018. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 6th International Conference on Brain-Computer Interface, BCI 2018, GangWon, Korea, Republic of, 15/01/18. https://doi.org/10.1109/IWW-BCI.2018.8311505

Prediction of motor and somatosensory function from human ECoG. / Ryun, Seokyun; Kim, June Sic; Lee, Donghyuk; Chung, Chun Kee.

2018 6th International Conference on Brain-Computer Interface, BCI 2018. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Ryun S, Kim JS, Lee D, Chung CK. Prediction of motor and somatosensory function from human ECoG. In 2018 6th International Conference on Brain-Computer Interface, BCI 2018. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.1109/IWW-BCI.2018.8311505