基于时频空分析的运动想象任务分类在脑机接口中的应用

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. Pub Date : 2005-03-16 DOI:10.1109/CNE.2005.1419636

L. Qin, B. Kamousi, Z.M. Liu, L. Ding, B. He

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引用次数: 10

摘要

我们通过分析单次头皮EEG信号的时间、频率和空间域，开发了用于脑机接口应用的运动图像任务分类的新算法。这些新算法已经使用公开可用的数据集进行了评估。结果很有希望，表明新开发的算法可能为非侵入性脑机接口应用提供有用的替代方案

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Classification of Motor Imagery Tasks by means of Time-Frequency-Spatial Analysis for Brain-Computer Interface Applications

We have developed new algorithms for classification of motor imagery tasks for brain-computer interface applications by analyzing single trial scalp EEG signals in the time-, frequency-, and space-domains. These new algorithms have been evaluated using a publically available dataset. The results are promising, suggesting that the newly developed algorithms may provide useful alternative for noninvasive brain-computer interface applications

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Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.

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