A Longitudinal Study of p300 Brain-Computer Interface and Progression of Amyotrophic Lateral Sclerosis
Document Type
Conference Proceeding
Publication Date
7-19-2011
Description
BCI can provide communication for people locked in by amyotrophic lateral sclerosis (ALS). Empirical examination of how disease progression affects brain-computer interface (BCI) performance has not been investigated. This pilot study uses a longitudinal design to investigate changes in P300-BCI use as ALS disability increases. We aimed to (a) examine the relationship between BCI accuracy and the ALS/Functional Rating Scale and (b) examine changes in the event-related potential (ERP) components across time. Eight subjects have been enrolled in the study. BCI accuracy was measured and ERP components were assessed by a principal component analysis (PCA). Two subjects have been followed for an average of nine-months, and BCI accuracy is 99.6%. While many research obstacles remain, these preliminary data help elucidate the relationship between BCI performance and disease progression.
Citation Information
Gates, Nathan A.; Hauser, Christopher K.; and Sellers, Eric W.. 2011. A Longitudinal Study of p300 Brain-Computer Interface and Progression of Amyotrophic Lateral Sclerosis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.6780 LNAI 475-483. https://doi.org/10.1007/978-3-642-21852-1_54 ISSN: 0302-9743 ISBN: 9783642218514
