Control of an electrical prosthesis with an SSVEP-based BCI
Control of an electrical prosthesis with an SSVEP-based BCI
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DOI：
10.1109/tbme.2007.897815
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发表时间：
2008-01-01
影响因子：
4.6
通讯作者：
Pfurtscheller, Gert
中科院分区：
文献类型：
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作者：
Mueller-Putz, Gernot R.;Pfurtscheller, Gert
脑机接口（BCI）是在人脑和计算机之间建立直接连接的系统，从而提供额外的通信通道。如今，它们在广泛的应用领域中使用。一个重要的问题是控制神经假体设备恢复的把握功能在脊髓损伤的人。在这次交流中，一个异步（自起搏）的四类脑机接口的基础上稳态视觉诱发电位（SSVEPs）被用来控制两轴电动假手。在训练过程中，四名健康参与者的在线分类准确率达到了44%至88%。异步控制假手，参与者达到了75.5至217.5秒的性能来复制一系列动作，而由设置确定的最快可能持续时间为64秒。假阴性（FN）决策的数量从0到10不等（最大可能决策为34）。可以说，基于SSVEP的BCI，在异步模式下操作，是可行的，用于控制神经假体设备与闪烁的灯安装在其表面上。
Brain-computer interfaces (BCIs) are systems that establish a direct connection between the human brain and a computer, thus providing an additional communication channel. They are used in a broad field of applications nowadays. One important issue is the control of neuroprosthetic devices for the restoration of the grasp function in spinal-cord-injured people. In this communication, an asynchronous (self-paced) four-class BCI based on steady-state visual evoked potentials (SSVEPs) was used to control a two-axes electrical hand prosthesis. During training, four healthy participants reached an online classification accuracy between 44% and 88%. Controlling the prosthetic hand asynchronously, the participants reached a performance of 75.5 to 217.5 s to copy a series of movements, whereas the fastest possible duration determined by the setup was 64 s. The number of false negative (FN) decisions varied from 0 to 10 (the maximal possible decisions were 34). It can be stated that the SSVEP-based BCI, operating in an asynchronous mode, is feasible for the control of neuroprosthetic devices with the flickering lights mounted on its surface.