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Methods and Systems for Source Connectivity Estimation With Hierarchical Structural Vector Autoregressive Models
专利权人:
Inc.;Mitsubishi Electric Research Laboratories
发明人:
Pu Wang,Toshiaki Koike-Akino,Ye Wang
申请号:
US16250174
公开号:
US20200229730A1
申请日:
2019.01.17
申请国别(地区):
US
年份:
2020
代理人:
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.
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中国工程科技知识中心
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