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A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.
- Source :
-
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2008 Aug; Vol. 119 (8), pp. 1909-1916. Date of Electronic Publication: 2008 Jun 20. - Publication Year :
- 2008
-
Abstract
- Objective: The current study evaluates the efficacy of a P300-based brain-computer interface (BCI) communication device for individuals with advanced ALS.<br />Methods: Participants attended to one cell of a N x N matrix while the N rows and N columns flashed randomly. Each cell of the matrix contained one character. Every flash of an attended character served as a rare event in an oddball sequence and elicited a P300 response. Classification coefficients derived using a stepwise linear discriminant function were applied to the data after each set of flashes. The character receiving the highest discriminant score was presented as feedback.<br />Results: In Phase I, six participants used a 6 x 6 matrix on 12 separate days with a mean rate of 1.2 selections/min and mean online and offline accuracies of 62% and 82%, respectively. In Phase II, four participants used either a 6 x 6 or a 7 x 7 matrix to produce novel and spontaneous statements with a mean online rate of 2.1 selections/min and online accuracy of 79%. The amplitude and latency of the P300 remained stable over 40 weeks.<br />Conclusions: Participants could communicate with the P300-based BCI and performance was stable over many months.<br />Significance: BCIs could provide an alternative communication and control technology in the daily lives of people severely disabled by ALS.
- Subjects :
- Adult
Aged
Discriminant Analysis
Electroencephalography methods
Feedback, Psychological
Female
Humans
Male
Middle Aged
Pattern Recognition, Visual physiology
Photic Stimulation
Reaction Time
Amyotrophic Lateral Sclerosis pathology
Amyotrophic Lateral Sclerosis physiopathology
Brain physiopathology
Event-Related Potentials, P300 physiology
User-Computer Interface
Subjects
Details
- Language :
- English
- ISSN :
- 1388-2457
- Volume :
- 119
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
- Publication Type :
- Academic Journal
- Accession number :
- 18571984
- Full Text :
- https://doi.org/10.1016/j.clinph.2008.03.034