Motor imagery controlled wheelchair system
Motor imagery controlled wheelchair system
复制标题
运动想象控制轮椅系统
DOI：
10.1109/iciea.2014.6931221
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Bo Jiang
中科院分区：
文献类型：
--
作者：
Lijun Jiang;E. Tham;M. Yeo;Zaixing Wang;Bo Jiang
运动想象（MI）的脑电图（EEG）记录的组成部分在科学应用中有着重要的作用。它是脑机接口（BCI）研究人员最常用的方法之一。然而，许多基于MI的设备由于依赖于复杂的EEG感测系统而昂贵且笨重。为了克服这些缺点，开发了一种低成本的原型，利用EEG信号和肌电图（EMG）信号的运动想象分量。基于来自14个通道的信号，该系统具有友好的GUI、高效的算法和易于使用的干传感器，可以检测和确定用户意图的至少4个运动方向：左、右、前、后。建议的系统是成本效益和易于使用。该系统已成功应用于轮椅控制平台。该系统的应用不仅可以扩展到患有脊髓损伤的人，还可以扩展到老年人或患有肢体肌肉疾病的人。
The motor imagery (MI) component of electroencephalogram (EEG) recordings has a substantial role in scientific applications. It is one of the commonest methodologies adopted by brain-computer interface (BCI) researchers. However, many MI based device is expensive and bulky due to the dependence on complex EEG sensing system. To overcome the drawbacks, a low-cost prototype is developed, leveraging on motor imagery component of EEG signal and Electromyography (EMG) signal. Based on signals from 14 channels, the system with friendly GUI, efficient algorithm, and easy-to-use dry sensors can detect and determine at least 4 movement directions of intention of a user: left, right, forward, backward. The proposed system is cost-effective and easy to use. The system has been successfully incorporated into a wheelchair control platform. The application of the system can extend to not only people who are suffering from spinal cord injuries, but also elderly or people suffering from limb muscle disorder.