Detection of movement-related desynchronization patterns in ongoing single-channel electrocorticogram
Detection of movement-related desynchronization patterns in ongoing single-channel electrocorticogram
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DOI：
10.1109/tnsre.2003.816863
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发表时间：
2003-09-01
影响因子：
4.9
通讯作者：
Pfurtscheller, G
中科院分区：
文献类型：
--
作者：
Graimann, B;Huggins, JE;Pfurtscheller, G
使用自适应自回归参数和线性分类器来检测从植入的电极网格获得的单通道皮层电图 (ECoG) 中与运动相关的去同步和同步模式。发现的最佳分类准确率超过 90%，误报率低于 10%。研究结果表明，ECoG 数据中与事件相关的去同步和同步检测可用于直接由大脑可靠地提供开关控制，因此非常适合作为直接大脑接口的基础。
Adaptive autoregressive parameters and a linear classifier were used to detect movement related desynchronization and synchronization patterns in single-channel electrocorticogram (ECoG) obtained from implanted electrode grids The best classification accuracies found had more than 90% hits and less than 10% false positives. The findings show that the detection of event-related desynchronization and synchronization in ECoG data can be used to reliably provide switch control directly by the brain and is therefore very suitable as the basis of a direct brain interface.