An EMG-based Brain-Computer Interface for Communication-impaired Patients: A Case Study

An EMG-based Brain-Computer Interface for Communication-impaired Patients: A Case Study

Abstract

Electromyography (EMG)–based brain-computer interface (BCI) systems primarily rely on electrical signals generated by muscle activity instead of the typically used brain activity measured via electroencephalography (EEG). Such EMG-BCIs are promising systems that enhance communication and control. This study introduces a simple EMG-BCI communication system developed as a football game for a communication-impaired participant. The football in the game can be moved to a left-side or a right-side goal, representing answers to two-state queries, i.e., yes-or-no-questions. By using restricted game controls, correctly following verbal instructions, and showing movement-related brain activity preceding muscle contractions, our participant can deliberately control the directions of the ball movements and, thus, successfully use our game for communication.

Grafik Top
Authors
  • Raggam, Philipp
  • Eder, Manuel
  • Popa, Alexia-Theodora
  • Fugger, Peter
  • Grosse-Wentrup, Moritz
Grafik Top
Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
9th Graz Brain-Computer Interface Conference 2024
Divisions
Neuroinformatics
Subjects
Programmierung Allgemeines
Kuenstliche Intelligenz
Angewandte Informatik
Informatik in Beziehung zu Mensch und Gesellschaft
Event Location
Graz
Event Type
Conference
Event Dates
9-12 Sep 2024
Series Name
Proceedings of the 9th Graz Brain-Computer Interface Conference 2024
ISSN/ISBN
ISSN: 2311-0422 || ISBN: 978-3-99161-014-4
Page Range
pp. 145-149
Date
9 September 2024
Export
Grafik Top