Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG
Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG
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DOI：
10.1016/j.cogbrainres.2005.08.014
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发表时间：
2005-12-01
期刊：
影响因子：
--
通讯作者：
Pfurtscheller, G
中科院分区：
文献类型：
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作者：
Neuper, C;Scherer, R;Pfurtscheller, G
单次运动想象分类是许多脑机接口（BCI）系统的组成部分。使用以下实验条件：动觉运动想象（MIK），视觉运动想象（MIV），运动执行（ME）和运动观察（OOM），可能的意义的图像，涉及相当动觉或视觉表征的行动。基于14名右手参与者的多通道脑电信号记录，我们应用了一种学习分类器，即区分敏感学习矢量量化（DSLVQ）来识别相关特征（即，频带、电极部位）用于识别相应的精神状态。对于ME和OOM，总体分类准确率约为80%。MIK（67%）的结果优于MIV（56%）。此外，在动觉图像的活动焦点被发现接近感觉运动的手区，而视觉运动图像没有揭示一个明确的空间模式。因此，为了提高基于运动想象的BCI控制，用户培训应强调动觉体验，而不是动作的视觉表示。(c)2005 Elsevier B.V.保留所有权利。
Single-trial motor imagery classification is an integral part of a number of brain-computer interface (BCI) systems. The possible significance of the kind of imagery, involving rather kinesthetic or visual representations of actions, was addressed using the following experimental conditions: kinesthetic motor imagery (MIK), visual-motor imagery (MIV), motor execution (ME) and observation of movement (OOM). Based on multi-channel EEG recordings in 14 right-handed participants, we applied a learning classifier, the distinction sensitive learning vector quantization (DSLVQ) to identify relevant features (i.e., frequency bands, electrode sites) for recognition of the respective mental states. For ME and OOM, the overall classification accuracies were about 80%. The rates obtained for MIK (67%) were better than the results of MIV (56%). Moreover, the focus of activity during kinesthetic imagery was found close to the sensorimotor hand area, whereas visual-motor imagery did not reveal a clear spatial pattern. Consequently, to improve motor-imagery-based BCI control, user training should emphasize kinesthetic experiences instead of visual representations of actions. (c) 2005 Elsevier B.V. All rights reserved.