Jie Hong∗ and Xiansheng Qin∗
Active rehabilitation, human–computer interaction, wheelchairs, lower limb, electroencephalography
Currently, robotics in lower limb active rehabilitation has attracted extensive attention in stroke rehabilitation. However, the existing devices have the disadvantages of high cost and poor mobility. To address this problem, wheelchair active rehabilitation method for lower limb of stroke patients is proposed in this paper. Firstly, the complete systems are designed for lower limb active rehabil- itation, including structure diagram of wheelchair kinematics and wheelchair interaction modes. Secondly, brain-controlled wheelchair (BCW) and its key technology are expressed. Thirdly, the recog- nition of electroencephalography (EEG) signals is conducted using Brain–Computer Interface (BCI) Competition III data set IVa, and the satisfactory performance is obtained through wavelet packet transforms (WPTs) and support vector machines (SVMs). Finally, discussion and conclusion are conducted. This work makes dual sense for stroke rehabilitation and the development of intelligent wheelchairs.
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