کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
558100 874853 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Wavelet Common Spatial Pattern in asynchronous offline brain computer interfaces
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Wavelet Common Spatial Pattern in asynchronous offline brain computer interfaces
چکیده انگلیسی

Common Spatial Pattern (CSP) is the most popular technique used in the brain computer interfacing (BCI) context. It aims to decorrelate electroencephalography (EEG) signals obtained from different electrodes. This increases the accuracy of synchronous systems wherein users are only able to send signals during certain predefined window lengths. However CSP has poor performance and accuracy in true asynchronous BCI systems wherein users send commands at any time during the interaction with various durations of imaginations. This is more desirable and flexible compared to the synchronous version. CSP's poor performance is mainly due to the nonstationary properties of EEG signals and the need to incorporate flexible control timing. A new Wavelet Common Spatial Pattern (WCSP) technique is introduced in this paper in which EEG signals are decomposed using wavelet packets. For each packet discriminatory features are extracted and discriminative packets are selected for each subject using fuzzy logic. Classification results indicate WCSP outperforms CSP for the true asynchronous BCI system with an average Kappa increase of 0.4. The apparent poor performance of CSP in this study compared to other published articles was a consequence of using a true asynchronous system, i.e. having variable imagination durations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedical Signal Processing and Control - Volume 6, Issue 2, April 2011, Pages 121–128
نویسندگان
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