Cantillo-Negrete Jessica, Gutiérrez-Martínez Josefina, Flores-Rodríguez Teodoro B, Cariño-Escobar Rubén I, Elías-Viñas David
Subdirección de Investigación Tecnológica. Instituto Nacional de Rehabilitación.
Rev Invest Clin. 2014 Jul;66 Suppl 1:S111-21.
Brain computer interface systems (BCI) translate the intentions of patients affected with locked-in syndrome through the EEG signal characteristics, which are converted into commands used to control external devices. One of the strategies used, is to decode the motor imagery of the subject, which can modify the neuronal activity in the sensory-motor areas in a similar way to which it is observed in real movement. The present study shows the activation patterns that are registered in motor and motor imagery tasks of right and left hand movement in a sample of young healthy subjects of Mexican nationality. By means of frequency analysis it was possible to determine the difference conditions of motor imagery and movement. Using U Mann- Whitney tests, differences with statistical significance (p < 0.05) where obtained, in the EEG channels C3, Cz, C4, T3 and P3 in the mu and beta rhythms, for subjects with similar characteristics (age, gender, and education). With these results, it would be possible to define a classifier or decoder by gender that improves the performance rate and diminishes the training time, with the goal of designing a functional BCI system that can be transferred from the laboratory to the clinical application in patients with motor disabilities.
脑机接口系统（BCI）通过脑电图信号特征来解读闭锁综合征患者的意图，这些信号特征被转换为用于控制外部设备的指令。所采用的策略之一是解码受试者的运动想象，这可以以与真实运动中观察到的类似方式改变感觉运动区域的神经元活动。本研究展示了在墨西哥国籍的年轻健康受试者样本中，右手和左手运动的运动任务及运动想象任务中所记录的激活模式。通过频率分析，能够确定运动想象和运动的不同状态。使用U曼-惠特尼检验，在具有相似特征（年龄、性别和教育程度）的受试者中，在脑电图通道C3、Cz、C4、T3和P3的μ和β节律中获得了具有统计学意义（p < 0.05）的差异。基于这些结果，有可能按性别定义一个分类器或解码器，以提高准确率并减少训练时间，目标是设计一个功能性脑机接口系统，使其能够从实验室转移到运动障碍患者的临床应用中。
