Title | A self-paced brain interface system that uses movement related potentials and changes in the power of brain rhythms |
Publication Type | Journal Article |
Year of Publication | 2007 |
Authors | Fatourechi, M., G. E. Birch, and R. K. Ward |
Journal | J Comput Neurosci |
Volume | 23 |
Pagination | 21-37 |
Date Published | Aug |
Abstract | Movement execution results in the simultaneous generation of movement-related potentials (MRP) as well as changes in the power of Mu and Beta rhythms. This paper proposes a new self-paced multi-channel BI that combines features extracted from MRPs and from changes in the power of Mu and Beta rhythms. We developed a new algorithm to classify the high-dimensional feature space. It uses a two-stage multiple-classifier system (MCS). First, an MCS classifies each neurological phenomenon separately using the information extracted from specific EEG channels (EEG channels are selected by a genetic algorithm). In the second stage, another MCS combines the outputs of MCSs developed in the first stage. Analysis of the data of four able-bodied subjects shows the superior performance of the proposed algorithm compared with a scheme where the features were all combined in a single feature vector and then classified. |
URL | http://dx.doi.org/10.1007/s10827-006-0017-3 |
DOI | 10.1007/s10827-006-0017-3 |