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基于空间能力的上肢康复运动想象脑机接口性能预测因素

Performance predictors of motor imagery brain-computer interface based on spatial abilities for upper limb rehabilitation.

作者信息

Pacheco Kevin, Acuna Kevin, Carranza Erick, Achanccaray David, Andreu-Perez Javier

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1014-1017. doi: 10.1109/EMBC.2017.8036998.

DOI:10.1109/EMBC.2017.8036998
PMID:29060046
Abstract

Motor Imagery based BCIs (MI-BCIs) allow the control of devices and communication by imagining different mental tasks. Despite many years of research, BCIs are still not the most accurate systems to control applications, due to two main factors: signal processing with classification, and users. It is admitted that BCI control involves certain characteristics and abilities in its users for optimal results. In this study, spatial abilities are evaluated in relation to MI-BCI control regarding flexion and extension mental tasks. Results show considerable correlation (r=0.49) between block design test (visual motor execution and spatial visualization) and extension-rest tasks. Additionally, rotation test (mental rotation task) presents significant correlation (r=0.56) to flexion-rest tasks.

摘要

基于运动想象的脑机接口(MI-BCIs)允许通过想象不同的心理任务来控制设备和进行通信。尽管经过多年研究,但由于两个主要因素,脑机接口仍不是控制应用最精确的系统:信号处理与分类以及用户。人们公认,脑机接口控制要求其用户具备某些特征和能力才能获得最佳效果。在本研究中,针对屈伸心理任务,评估了与MI-BCI控制相关的空间能力。结果显示,积木设计测试(视觉运动执行和空间可视化)与伸展-休息任务之间存在显著相关性(r = 0.49)。此外,旋转测试(心理旋转任务)与屈曲-休息任务呈现出显著相关性(r = 0.56)。

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The Current Research of Spatial Cognitive Evaluation and Training With Brain-Computer Interface and Virtual Reality.脑机接口与虚拟现实在空间认知评估与训练方面的当前研究
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