Toward a hybrid BCI for grasp rehabilitation

  • A. Savić*
  • , U. Kisić
  • , M. B. Popović
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

We present a feasibility study of hybrid brain-computer interface (BCI) for control of Functional Electrical stimulation (FES) during grasp rehabilitation. Proposed BCI operates in two stages sequentially. First stage is a steady-state visual evoked potential (SSVEP) based method for selection of one of the three objects for grasping. Second stage is event-related desynchronisation (ERD) based detection of the onset of reach-to-grasp selected object. In the first stage, adequate stimulation pattern for selected object is determined, while the second stage triggers FES to assist desired grasp. Mean detection accuracies of SSVEP based selection and ERD based detection of the onset of movement for three subjects tested were 98.1% and 100% respectively. Obtained results suggest that this approach could be tested for the control of FES during Functional Electrical Therapy (FET).

Original languageEnglish
Pages (from-to)806-809
Number of pages4
JournalIFMBE Proceedings
Volume37
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • ERD
  • FES
  • grasp rehabilitation
  • Hybrid BCI
  • SSVEP

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