格拉茨脑机接口(BCI)研究的最新趋势。

G Pfurtscheller, C Neuper, C Guger, W Harkam, H Ramoser, A Schlögl, B Obermaier, M Pregenzer
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引用次数: 561

摘要

本文介绍了一种基于被试脑电模式识别的脑机接口(BCI)研究方法。在特定运动的心理想象过程中,从感觉运动区域记录的脑电图信号被在线分类,并用于光标控制等。在大量的在线实验中,对各种脑电信号特征提取和分类方法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current trends in Graz Brain-Computer Interface (BCI) research.

This paper describes a research approach to develop a brain-computer interface (BCI) based on recognition of subject-specific EEG patterns. EEG signals recorded from sensorimotor areas during mental imagination of specific movements are classified on-line and used e.g. for cursor control. In a number of on-line experiments, various methods for EEG feature extraction and classification have been evaluated.

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