Cincotti Febo, Mattia Donatella, Babiloni Claudio, Carducci Filippo, Salinari Serenella, Bianchi Luigi, Marciani Maria Grazia, Babiloni Fabio
Laboratorio di Neurofisiopatologia, Fondazione Santa Lucia, 1-00174 Rome, Italy.
IEEE Trans Neural Syst Rehabil Eng. 2003 Jun;11(2):131-3. doi: 10.1109/TNSRE.2003.814455.
The opening of a communication channel between brain and computer [brain-computer interface (BCI)] is possible by using changes in electroencephalogram (EEG) power spectra related to the imagination of movements. In this paper, we present results obtained by recording EEG during an upper limb motor imagery task in a total of 18 subjects by using low-resolution surface Laplacian, different linear and quadratic classifiers, as well as a variable number of scalp electrodes, from 2 to 26. The results (variable correct classification rate of mental imagery between 75% and 95%) suggest that it is possible to recognize quite reliably ongoing mental movement imagery for BCI applications.
利用与运动想象相关的脑电图（EEG）功率谱变化，实现大脑与计算机之间通信通道（脑机接口，BCI）的开启是可行的。在本文中，我们展示了通过使用低分辨率表面拉普拉斯算法、不同的线性和二次分类器以及数量从2到26不等的头皮电极，在总共18名受试者进行上肢运动想象任务期间记录EEG所获得的结果。结果（心理意象的正确分类率在75%至95%之间变化）表明，对于BCI应用而言，相当可靠地识别正在进行的心理运动意象是可能的。
