| 基于移动平台的运动想象脑电分析方法研究 |
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| 引用本文： | 王锦丽,穆振东.基于移动平台的运动想象脑电分析方法研究[J].科技广场,2011(3). |
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| 作者姓名： | 王锦丽 穆振东 |
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| 作者单位： | 江西蓝天学院信息技术研究所,江西,南昌,330098 |
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| 基金项目： | 江西蓝天学院自然科学研究项目(XYKJ08YB02) |
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| 摘 要： | BCI系统的研究,经过二十多年的发展,已经慢慢地走出实验室,面向应用。为更方便对运动功能障碍人士进行帮助,把传统BCI系统移植到移动平台上就显得尤为重要。本文利用AR模型把时域信号转换到频域,然后利用Fisher距离进行特征提取,利用定义的线性分类器进行分类。结果表明,利用本方法能很好地识别三种不同运动想象类型。
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| 关 键 词： | 移动平台 BCI 脑电信号 |
Research of Motor Imagery EEG Method Based on Mobile Platform |
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| Wang Jinli,Mu Zhendong.Research of Motor Imagery EEG Method Based on Mobile Platform[J].Science Mosaic,2011(3). |
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| Authors: | Wang Jinli Mu Zhendong |
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| Institution: | Wang Jinli Mu Zhendong(Institute of Information and Technology,Jiangxi Blue Sky University,Jiangxi Nanchang 330098) |
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| Abstract: | After more than twenty years of development,the research of BCI system has gone out of the laboratory for application.It is very important to transplant BCI system to mobile platforms for helping persons with disabilities.Applying AR model,the time domain signal has been transformed into the frequency domain signal,then features are extracted by fisher distance and classified by linear classifier.It is shown that three different types of motor imagery are identified effectively using this method. |
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| Keywords: | Mobile Platform BCI EEG |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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