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Medical & Biological Engineering & Computing

Erschienen in:

01.05.2011 | Special Issue - Original Article

Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb

verfasst von: Petar Horki, Teodoro Solis-Escalante, Christa Neuper, Gernot Müller-Putz

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 5/2011

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Abstract

A Brain–Computer Interface (BCI) is a device that transforms brain signals, which are intentionally modulated by a user, into control commands. BCIs based on motor imagery (MI) and steady-state visual evoked potentials (SSVEP) can partially restore motor control in spinal cord injured patients. To determine whether these BCIs can be combined for grasp and elbow function control independently, we investigated a control method where the beta rebound after brisk feet MI is used to control the grasp function, and a two-class SSVEP-BCI the elbow function of a 2 degrees-of-freedom artificial upper limb. Subjective preferences for the BCI control were assessed with a questionnaire. The results of the initial evaluation of the system suggests that this is feasible.

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Titel: Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb
verfasst von: Petar Horki
Teodoro Solis-Escalante
Christa Neuper
Gernot Müller-Putz
Publikationsdatum: 01.05.2011
Verlag: Springer-Verlag
Erschienen in: Medical & Biological Engineering & Computing / Ausgabe 5/2011
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI: https://doi.org/10.1007/s11517-011-0750-2

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