Analysis of key factors on ERD production for BCI neuro-robotic rehabilitation

Yohei Takata, Midori Saeki, Jun Izawa, Kotaro Takeda, Yohei Otaka, Koji Ito, Toshiyuki Kondo

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

2 Citations (Scopus)

Abstract

According to recent neuro-rehabilitation research, an appropriate reafferent sensory feedback synchronized with a voluntary motor intention would be effective for promoting neural plasticity during stroke rehabilitation. Therefore, a BCI-based neuro-rehabilitation is considered to be a promising approach. To detect the motor intention, an event-related desynchronization (ERD), which can be evoked by intrinsic motor imagery, is usually used. However there exists various factors that affect ERD production, and its neural mechanism is still an open question. As a preliminary stage for developing an effective neuro-rehabilitation system, in this study, we evaluate the mutual effects of extrinsic (visual and somatosensory stimuli) and intrinsic (spontaneous motor imagery) factors on ERD production. Experimental results indicate that these three factors interact with each other in a complex relationship and probably affect a person's sense of agency.

Original languageEnglish
Title of host publication2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
Pages240-245
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012 - Rome, Italy
Duration: 24-06-201227-06-2012

Publication series

NameProceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics
ISSN (Print)2155-1774

Other

Other2012 4th IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2012
Country/TerritoryItaly
CityRome
Period24-06-1227-06-12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Biomedical Engineering
  • Mechanical Engineering

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