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Decoding Three-Dimensional Reaching Movements Using Electrocorticographic Signals in Humans

机译:使用人体的皮层电信号解码三维到达运动

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摘要

ObjectiveElectrocorticography (ECoG) signals have emerged as a potential control signal for brain-computer interface (BCI) applications due to balancing signal quality and implant invasiveness. While there have been numerous demonstrations in which ECoG signals were used to decode motor movements and to develop BCI systems, the extent of information that can be decoded has been uncertain. Therefore, we sought to determine if ECoG signals could be used to decode kinematics (speed, velocity, and position) of arm movements in 3D space.
机译:客观的脑电图(ECoG)信号由于平衡了信号质量和植入物的侵袭性,已成为脑机接口(BCI)应用的潜在控制信号。尽管已经有大量的演示将ECoG信号用于解码电机运动并开发BCI系统,但可以解码的信息范围尚不确定。因此,我们试图确定ECoG信号是否可用于解码3D空间中手臂运动的运动学(速度,速度和位置)。

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