Pfurtscheller G, Neuper C, Guger C, Harkam W, Ramoser H, Schlögl A, Obermaier B, Pregenzer M
Department of Medical Informatics, Institute for Biomedical Engineering, University of Technology Graz, Austria.
IEEE Trans Rehabil Eng. 2000 Jun;8(2):216-9. doi: 10.1109/86.847821.
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.
本文描述了一种基于识别特定受试者脑电图模式来开发脑机接口（BCI）的研究方法。在对特定运动进行心理想象时，从感觉运动区域记录的脑电图信号被在线分类，并用于例如光标控制。在一系列在线实验中，对脑电图特征提取和分类的各种方法进行了评估。
