A brain-computer interface with vibrotactile biofeedback for haptic information
A brain-computer interface with vibrotactile biofeedback for haptic information
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DOI：
10.1186/1743-0003-4-40
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发表时间：
2007-10-17
影响因子：
5.1
通讯作者：
Thakor, Nitish V.
中科院分区：
文献类型：
--
作者：
Chatterjee, Aniruddha;Aggarwal, Vikram;Thakor, Nitish V.
背景：有人认为脑机接口（BCI）有一天可能适用于控制神经假体。对于BCI的闭环操作，需要与神经假体应用兼容的触觉反馈通道。操作的EEG为基础的BCI只使用振动触觉反馈，一种常用的方法来传达触觉的接触和压力的感觉，演示了一个高水平的accuracy.Methods：一个穆节奏为基础的BCI使用的运动想象范例被用来控制虚拟光标的位置。光标的位置被显示在视觉上，以及通过调制的强度的振动触觉刺激的上肢触觉传输。共有6名受试者在两阶段目标任务中操作BCI，仅接收性能的振动触觉生物反馈。振动的位置也系统地改变了左，右手臂之间的位置依赖性的影响performance.Results和结论：受试者能够控制的BCI仅使用振动触觉反馈的平均准确度为56%，高达72%。如果受试者没有自主控制其Mu节律，则这些准确性显著高于随机机会预测的15%。本研究的结果表明，振动触觉反馈是一种有效的生物反馈方式来操作脑机接口使用运动想象。此外，研究表明，放置在二头肌同侧或对侧的运动想象的振动触觉刺激引入了显着的偏差在BCI的准确性。这种偏差与刺激对侧肢体产生的性能下降是一致的。用户证明了通过培训克服这种偏差的能力。
Background: It has been suggested that Brain-Computer Interfaces (BCI) may one day be suitable for controlling a neuroprosthesis. For closed-loop operation of BCI, a tactile feedback channel that is compatible with neuroprosthetic applications is desired. Operation of an EEG-based BCI using only vibrotactile feedback, a commonly used method to convey haptic senses of contact and pressure, is demonstrated with a high level of accuracy.Methods: A Mu-rhythm based BCI using a motor imagery paradigm was used to control the position of a virtual cursor. The cursor position was shown visually as well as transmitted haptically by modulating the intensity of a vibrotactile stimulus to the upper limb. A total of six subjects operated the BCI in a two-stage targeting task, receiving only vibrotactile biofeedback of performance. The location of the vibration was also systematically varied between the left and right arms to investigate location-dependent effects on performance.Results and Conclusion: Subjects are able to control the BCI using only vibrotactile feedback with an average accuracy of 56% and as high as 72%. These accuracies are significantly higher than the 15% predicted by random chance if the subject had no voluntary control of their Mu-rhythm. The results of this study demonstrate that vibrotactile feedback is an effective biofeedback modality to operate a BCI using motor imagery. In addition, the study shows that placement of the vibrotactile stimulation on the biceps ipsilateral or contralateral to the motor imagery introduces a significant bias in the BCI accuracy. This bias is consistent with a drop in performance generated by stimulation of the contralateral limb. Users demonstrated the capability to overcome this bias with training.