NDLI: First study towards linear control of an upper-limb neuroprosthesis with an EEG-based Brain-Computer Interface

Content Provider	IEEE Xplore Digital Library
Author	Pascual, J. Velasco-Alvarez, F. Muller, K. Vidaurre, C.
Copyright Year	2012
Description	Author affiliation: Machine Learning Group, Berlin Inst. of Technol., Berlin, Germany (Pascual, J.; Muller, K.; Vidaurre, C.) \|\| Dept. of Electr. Eng., Univ. of Malaga, Malaga, Spain (Velasco-Alvarez, F.)
Abstract	In this study we show how healthy subjects are able to use a non-invasive Motor Imagery (MI)-based Brain Computer Interface (BCI) to achieve linear control of an upper-limb neuromuscular electrical stimulation (NMES) controlled neuroprosthesis in a simple binary target selection task. Linear BCI control can be achieved if two motor imagery classes can be discriminated with a reliability over 80% in single trial. The results presented in this work show that there was no significant loss of performance using the neuroproshesis in comparison to MI where no stimulation was present. However, it is remarkable how different the experience of the users was in the same experiment. The stimulation either provoked a positive reinforcement feedback, or prevented the user from concentrating in the task.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3269
Ending Page	3273
File Size	376124
Page Count	5
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346663
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Calibration Muscles Error analysis Brain computer interfaces Electroencephalography Trajectory
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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