This paper describes a paralyzed patient diagnosed with severe infantile cerebral palsy, trained over a period of several months to use an EEG-based brain-computer interface (BCI) for verbal communication. The patient learned to "produce" two distinct EEG patterns by mental imagery and to use this skill for BCI-controlled spelling. The EEG feedback training was conducted at a clinic for Assisted Communications, supervised from a distant laboratory with the help of a telemonitoring system. As a function of training sessions significant learning progress was found, resulting in an average accuracy level of 70\% correct responses for letter selection. At present, "copy spelling" can be performed with a rate of approximately one letter per minute. The proposed communication device, the "Virtual Keyboard", may improve actual levels of communication ability in completely paralyzed patients. "Telemonitoring-assisted" training facilitates clinical application in a larger number of patients.
%0 Journal Article
%1 Neuper2003
%A Neuper, C.
%A M?ller, G. R.
%A Staiger-S?lzer, P.
%A Skliris, D.
%A K?bler, A.
%A Birbaumer, N.
%A Pfurtscheller, G.
%D 2003
%J Rehabilitation (Stuttg)
%K Action Potentials; Biofeedback (Psychology); Cerebral Cortex; Palsy; Communication Aids for Disabled; Computer Systems; Terminals; Electroencephalography; Electromyography; Electrooculography; Humans; Imaginati; Microcomputers; Nonverbal Communication; Remote Consultation; Signal Processing, Computer-As; Telemetry; Thinking; User-Computer Interface; on; sisted
%N 6
%P 371--377
%R 10.1055/s-2003-812543
%T EEG-based communication--a new concept for rehabilitative support in patients with severe motor impairment
%U http://dx.doi.org/10.1055/s-2003-812543
%V 42
%X This paper describes a paralyzed patient diagnosed with severe infantile cerebral palsy, trained over a period of several months to use an EEG-based brain-computer interface (BCI) for verbal communication. The patient learned to "produce" two distinct EEG patterns by mental imagery and to use this skill for BCI-controlled spelling. The EEG feedback training was conducted at a clinic for Assisted Communications, supervised from a distant laboratory with the help of a telemonitoring system. As a function of training sessions significant learning progress was found, resulting in an average accuracy level of 70\% correct responses for letter selection. At present, "copy spelling" can be performed with a rate of approximately one letter per minute. The proposed communication device, the "Virtual Keyboard", may improve actual levels of communication ability in completely paralyzed patients. "Telemonitoring-assisted" training facilitates clinical application in a larger number of patients.
@article{Neuper2003,
abstract = {This paper describes a paralyzed patient diagnosed with severe infantile cerebral palsy, trained over a period of several months to use an EEG-based brain-computer interface (BCI) for verbal communication. The patient learned to "produce" two distinct EEG patterns by mental imagery and to use this skill for BCI-controlled spelling. The EEG feedback training was conducted at a clinic for Assisted Communications, supervised from a distant laboratory with the help of a telemonitoring system. As a function of training sessions significant learning progress was found, resulting in an average accuracy level of 70\% correct responses for letter selection. At present, "copy spelling" can be performed with a rate of approximately one letter per minute. The proposed communication device, the "Virtual Keyboard", may improve actual levels of communication ability in completely paralyzed patients. "Telemonitoring-assisted" training facilitates clinical application in a larger number of patients.},
added-at = {2014-07-19T20:54:23.000+0200},
author = {Neuper, C. and M?ller, G. R. and Staiger-S?lzer, P. and Skliris, D. and K?bler, A. and Birbaumer, N. and Pfurtscheller, G.},
biburl = {https://www.bibsonomy.org/bibtex/2cbaaa8a8e77ee9946c2acdbfc100ffb2/ar0berts},
doi = {10.1055/s-2003-812543},
groups = {public},
interhash = {22395ccf77e8ebb8f89126629b272018},
intrahash = {cbaaa8a8e77ee9946c2acdbfc100ffb2},
journal = {Rehabilitation (Stuttg)},
keywords = {Action Potentials; Biofeedback (Psychology); Cerebral Cortex; Palsy; Communication Aids for Disabled; Computer Systems; Terminals; Electroencephalography; Electromyography; Electrooculography; Humans; Imaginati; Microcomputers; Nonverbal Communication; Remote Consultation; Signal Processing, Computer-As; Telemetry; Thinking; User-Computer Interface; on; sisted},
month = Dec,
number = 6,
pages = {371--377},
pmid = {14677109},
timestamp = {2014-07-19T20:54:23.000+0200},
title = {[EEG-based communication--a new concept for rehabilitative support in patients with severe motor impairment]},
url = {http://dx.doi.org/10.1055/s-2003-812543},
username = {ar0berts},
volume = 42,
year = 2003
}