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A practical method for motor imagery based real-time prosthesis control

机译:一种基于运动图像的实时假体控制的实用方法

摘要

A potential application of BCI is the way of prosthesis control, while the traditional ways are not appropriate for those who got the high SCI (Spinal Cord Injury). In this paper, considering the practicality of BCI based prosthesis control, especially the avoidance of appended devices, the spontaneous EEG of motor imagery was used as the control signals. The motor imagery is limited in pattern variety, so in our work a careful control strategy was designed for controlling prosthesis with elbow, wrist, and hand joint. Three motor imageries including left/right hand, and feet were used in this system. One was used for switching the current controlling joint and the others were for the forward and reverse of the joints rotation. By this method, the real-time controlling of the three joints prosthesis was achieved. This paper described the auditory paradigm of motor imagery for prosthesis control at first and the relevant coefficient was used for signal analysis and recognition. Then the strategy of controlling 3 joints prosthesis was designed and finally the experiments were carried out to evaluate the ability of prosthesis controlling. © 2012 IEEE.
机译:BCI的潜在应用是假体控制的方法,而传统方法不适合那些SCI高(脊髓损伤)的人。在本文中,考虑到基于BCI的假体控制的实用性,特别是避免附加设备,将运动图像的自发EEG用作控制信号。运动图像的图案种类有限,因此在我们的工作中,设计了一种谨慎的控制策略来控制肘,腕和手关节的假体。该系统使用了三个运动图像,包括左/右手和脚。一种用于切换电流控制关节,另一种用于关节旋转的正向和反向。通过这种方法,可以实现对三个关节假体的实时控制。本文首先描述了用于运动假体控制的运动图像听觉范例,并将相关系数用于信号分析和识别。然后设计了控制3个关节假体的策略,最后进行了实验以评估假体控制的能力。 ©2012 IEEE。

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