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Switching between Manual Control and Brain-Computer Interface Using Long Term and Short Term Quality Measures

机译:使用长期和短期质量度量在手动控制和脑机接口之间切换

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摘要

Assistive devices for persons with limited motor control translate or amplify remaining functions to allow otherwise impossible actions. These assistive devices usually rely on just one type of input signal which can be derived from residual muscle functions or any other kind of biosignal. When only one signal is used, the functionality of the assistive device can be reduced as soon as the quality of the provided signal is impaired. The quality can decrease in case of fatigue, lack of concentration, high noise, spasms, tremors, depending on the type of signal. To overcome this dependency on one input signal, a combination of more inputs should be feasible. This work presents a hybrid Brain-Computer Interface (hBCI) approach where two different input signals (joystick and BCI) were monitored and only one of them was chosen as a control signal at a time. Users could move a car in a game-like feedback application to collect coins and avoid obstacles via either joystick or BCI control. Both control types were constantly monitored with four different long term quality measures to evaluate the current state of the signals. As soon as the quality dropped below a certain threshold, a monitoring system would switch to the other control mode and vice versa. Additionally, short term quality measures were applied to check for strong artifacts that could render voluntary control impossible. These measures were used to prohibit actions carried out during times when highly uncertain signals were recorded. The switching possibility allowed more functionality for the users. Moving the car was still possible even after one control mode was not working any more. The proposed system serves as a basis that shows how BCI can be used as an assistive device, especially in combination with other assistive technology.
机译:电机控制受限的人的辅助设备会平移或放大其余功能,以允许其他无法采取的措施。这些辅助设备通常仅依赖于一种类型的输入信号,该信号可以从残留的肌肉功能或任何其他种类的生物信号中得出。当仅使用一个信号时,一旦削弱了所提供信号的质量,辅助设备的功能就会降低。在疲劳,注意力不集中,高噪音,痉挛,震颤的情况下,质量可能会降低,具体取决于信号的类型。为了克服对一个输入信号的这种依赖性,更多输入的组合应该是可行的。这项工作提出了一种混合的脑机接口(hBCI)方法,其中监视了两个不同的输入信号(操纵杆和BCI),一次只选择了其中一个作为控制信号。用户可以在类似游戏的反馈应用程序中移动汽车,以通过操纵杆或BCI控制装置收集硬币并避开障碍物。两种控制类型均通过四种不同的长期质量指标进行持续监控,以评估信号的当前状态。一旦质量下降到某个阈值以下,监控系统就会切换到其他控制模式,反之亦然。此外,还采用了短期质量措施来检查是否有可能导致自愿控制的强烈伪影。这些措施用于禁止在记录高度不确定的信号时采取的措施。切换可能性为用户提供了更多功能。即使在一种控制模式不再起作用后,仍然可以移动汽车。拟议的系统作为基础,展示了如何将BCI用作辅助设备,特别是与其他辅助技术结合使用。

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