کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
504826 864440 2016 6 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Multiresolution analysis over graphs for a motor imagery based online BCI game
ترجمه فارسی عنوان
تحلیل چند رزولوشنی بر روی نمودارها برای یک بازی BCI آنلاین مبتنی بر تصاویر حرکتی
کلمات کلیدی
بازی BCI؛ EEG بازنمایی نمودار؛ تصاویر حرکتی ؛ بلند کردن اجسام موجک
BCI game; EEG graph representation; Motor imagery; Wavelet lifting
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی

Multiresolution analysis (MRA) over graph representation of EEG data has proved to be a promising method for offline brain–computer interfacing (BCI) data analysis. For the first time we aim to prove the feasibility of the graph lifting transform in an online BCI system. Instead of developing a pointer device or a wheel-chair controller as test bed for human–machine interaction, we have designed and developed an engaging game which can be controlled by means of imaginary limb movements. Some modifications to the existing MRA analysis over graphs for BCI have also been proposed, such as the use of common spatial patterns for feature extraction at the different levels of decomposition, and sequential floating forward search as a best basis selection technique. In the online game experiment we obtained for three classes an average classification rate of 63.0% for fourteen naive subjects. The application of a best basis selection method helps significantly decrease the computing resources needed. The present study allows us to further understand and assess the benefits of the use of tailored wavelet analysis for processing motor imagery data and contributes to the further development of BCI for gaming purposes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 68, 1 January 2016, Pages 21–26
نویسندگان
, , ,