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Information transfer rate in a five-classes brain-computer interface

Obermaier, B., Neuper, C., Guger, C., Pfurtscheller, G.·2001·IEEE Transactions on Neural Systems and Rehabilitation Engineering

Abstract

The information transfer rate, given in bits per trial, is used as an evaluation measurement in a brain-computer interface (BCI). Three subjects performed four motor-imagery (left hand, right hand, foot, and tongue) and one mental-calculation task. Classification of the electroencephalogram (EEG) patterns is based on band power estimates and hidden Markov models (HMMs). We propose a method that combines the EEG patterns based on separability into subsets of two, three, four, and five mental tasks. The information transfer rates of the BCI systems comprised of these subsets are reported. The achieved information transfer rates vary from 0.42 to 0.81 bits per trial and reveal that the upper limit of different mental tasks for a BCI system is three. In each subject, different combinations of three tasks resulted in the best performance.

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Metadata

Authors
Obermaier, B., Neuper, C., Guger, C., & Pfurtscheller, G.
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2001-09
Volume
9
Issue
3
Pages
283-288
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W2115854344
Cited by
337
References
1
FWCI
3.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Information transfer rate in a five-classes brain-computer interface. https://app.cochat.ai/papers/10.1109/7333.948456
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Obermaier, B., Neuper, C., Guger, C., & Pfurtscheller, G. (2001). Information transfer rate in a five-classes brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/7333.948456

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