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Use of Wavelets for Recognizing Types of Motion by Means of Data on the Electrical Activity of the Brain

机译:用小波通过关于大脑电活动的数据识别运动类型

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摘要

We consider the task of oscillatory pattern recognition on the fragments of electroencephalogram records obtained during motion and their mental representation for the development of a neurointerface software. Using a multiscale analysis, the number of channels is estimated that will provide reliable separation of motions of various types from background activity.
机译:我们考虑在运动期间获得的脑电图记录片段的振荡模式识别的任务及其心理表达,以便开发神经诊所软件。 使用多尺度分析,估计信道数量将提供从背景活动中可靠地分离各种类型的运动。

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