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Methods and Systems for Source Connectivity Estimation With Hierarchical Structural Vector Autoregressive Models

机译:分层结构向量自回归模型的源连通性估计方法和系统

摘要

Devices, systems and methods for a brain-computer interface (BCI) system for correlating brain activity of a user to a predetermined physiological response, a predetermined classification of a user intention or a predetermined mental state to control, for actuating a control action. The BCI system including an input interface to receive brain signals indicative of an activity of a brain of the user. An encoder to encode the received brain signals to produce a sparse connectivity map of correlations among active regions of the brain. Wherein the sparse connectivity map specifies more zero correlations than non-zero correlations between various active regions of the brain. A classifier to classify the sparse connectivity map as an intended predetermined physiological response intended by the user. A controller to communicate a control signal for actuating the control action according to the intended predetermined physiological response to a device.
机译:用于脑计算机接口(BCI)系统的装置,系统和方法,用于将用户的大脑活动与预定的生理反应,用户意图的预定分类或要控制的预定精神状态相关联,以启动控制动作。 BCI系统包括用于接收指示用户的大脑活动的大脑信号的输入接口。编码器对接收到的大脑信号进行编码,以生成大脑活动区域之间相关性的稀疏连接图。其中,稀疏连通性图指定的零相关性比大脑各个活动区域之间的非零相关性更多。将稀疏连接图分类为用户预期的预定生理反应的分类器。控制器将控制信号传送到设备,该控制信号用于根据预期的预定生理响应来致动控制动作。

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