College of IT Engineering, Kyungpook National University, Daegu 702-701, South Korea.
Neurosci Lett. 2012 Oct 24;528(2):137-42. doi: 10.1016/j.neulet.2012.09.001. Epub 2012 Sep 17.
The event-related desynchronization (ERD) is a magnitude decrease phenomenon which can be found in electroencephalogram (EEG) mu-rhythm in a certain narrow frequency band (reactive band) during different sensorimotor tasks and stimuli. The success of ERD detection depends on proper identification of subject specific reactive band. An adaptive algorithm band limited multiple Fourier linear combiner (BMFLC) is employed in this paper for identification of subject specific reactive band for real-time ERD detection. With the time-frequency mapping obtained with BMFLC, a procedure is formulated for reactive band identification. Improved classification is obtained by applying this method to a standard BCI data set compared to traditional ERD detection methods. Study conducted with 8 subjects drawn from BCI Competition IV data set show a 22% increase in ERD and 10% improvement in classification with the proposed method compared to standard ERD based classification.
事件相关去同步化（ERD）是一种幅度减小现象，可在不同感觉运动任务和刺激期间在脑电图（EEG）μ节律的特定窄频带（反应带）中找到。ERD 检测的成功取决于对特定于主体的反应带的正确识别。本文采用自适应算法带限多傅里叶线性组合器（BMFLC）来识别用于实时 ERD 检测的特定于主体的反应带。使用 BMFLC 获得的时频映射，制定了用于反应带识别的过程。与传统的 ERD 检测方法相比，将该方法应用于标准 BCI 数据集可获得更好的分类效果。与基于标准 ERD 的分类相比，对来自 BCI 竞赛 IV 数据集的 8 个受试者进行的研究表明，该方法可使 ERD 增加 22%，分类提高 10%。
