[Mental activity hand orthosis control using the EEG: a case study]
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Updated: Oct 2, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
G Pfurtscheller1, G Müller, G Korisek
1Abteilung für medizinische Informatik, Institut für Elektro- und biomedizinische Technik, Technische Universität Graz, Osterreich. pfu@dpmi.tu-graz.ac.at
Abstract:
A report is given on the realization of a steering mechanism of a hand orthosis for a patient with paraplegia. An EEG-based Brain-Computer Interface (BCI) was used here for the first time, transferring purely mental activity to a control signal. This means that the patient has the capability to open or close the hand orthosis only by imagination of a movement. At this time, after a training period of about four months, the patient is able to move the hand orthosis with a certainty of almost hundred percent. The restored grasp function was verified by a grasp function test. Results are compared to those obtained using a conventional EMG-controlled orthosis.
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