Using Actual and Imagined Walking Related Desynchronization Features in a BCI

摘要: Recently, brain–computer interface (BCI) research has extended to investigate its possible use in motor rehabilitation. Most of these investigations have focused on the upper body. Only few studies consider gait because difficulty recording EEG during gross movements. However, for stroke patients rehabilitation is crucial importance. Therefore, this study investigates if a BCI can be based walking related desynchronization features. Furthermore, influence complexity movements classification performance investigated. Two experiments were conducted which healthy subjects performed cued task, more complex task (backward or adaptive walking), and imagination same tasks. data tasks was classified into no-walking. The results from both show that despite automaticity difficulties, brain signals could rapidly reliably. Classification higher actual than imagined There no significant increase backward compared with These are promising developing gait.