Abstract：
:In this paper, a comparative evaluation of state-of-the art feature extraction and classification methods is presented for five subjects in order to increase the performance of a cue-based Brain-Computer interface (BCI) system for imagery tasks (left and right hand movements). To select an informative feature with a reliable classifier features containing standard bandpower, AAR coefficients, and fractal dimension along with support vector machine (SVM), Adaboost and Fisher linear discriminant analysis (FLDA) classifiers have been assessed. In the single feature-classifier combinations, bandpower with FLDA gave the best results for three subjects, and fractal dimension and FLDA and SVM classifiers lead to the best results for two other subjects. A genetic algorithm has been used to find the best combination of the features with the aforementioned classifiers and led to dramatic reduction of the classification error and also best results in the four subjects. Genetic feature combination results have been compared with the simple feature combination to show the performance of the Genetic algorithm.
journal_name
Med Biol Eng Computjournal_title
Medical & biological engineering & computingauthors
Boostani R,Graimann B,Moradi MH,Pfurtscheller Gdoi
10.1007/s11517-007-0169-ysubject
Has Abstractpub_date
2007-04-01 00:00:00pages
403-12issue
4eissn
0140-0118issn
1741-0444journal_volume
45pub_type
杂志文章abstract：:Monitoring upper-limb activity in a free-living environment is important for the evaluation of rehabilitation. This study is a validation of the Strathclyde Upper-Limb Activity Monitor (SULAM) which records the vertical movement and position of each wrist, and assesses bimanual movement. Agreement between the SULAM an...
journal_title：Medical & biological engineering & computing
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abstract：: ...
journal_title：Medical & biological engineering & computing
pub_type： 杂志文章,撤回出版物
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journal_title：Medical & biological engineering & computing
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journal_title：Medical & biological engineering & computing
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doi：10.1007/s11517-010-0636-8
更新日期：2010-08-01 00:00:00
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journal_title：Medical & biological engineering & computing
pub_type： 杂志文章
doi：10.1007/s11517-007-0164-3
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