Evolutionary optimization of classifiers and features for single-trial EEG Discrimination
State-of-the-art signal processing methods are known to detect information in single-trial event-related EEG data, a crucial aspect in development of real-time applications such as brain computer interfaces. This paper investigates one such novel approach, evaluating how individual classifier and fe...
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Published in | Biomedical engineering online Vol. 6; no. 1; p. 32 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
23.08.2007
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
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