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Apparatus and method for providing information on epilepsy symptoms based on resting-state EEG
Apparatus and method for providing information on epilepsy symptoms based on resting-state EEG
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机译:基于静息状态脑电图提供癫痫症状信息的设备和方法
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摘要
The present invention relates to an apparatus and method for providing epilepsy diagnosis information for diagnosing the presence of epilepsy, and further, the degree of brain network change, using a patient''s resting EEG, which is used to generate a plurality of resting EEG from previously stored medical data. After obtaining, the brainwave data collection unit for classifying and storing according to the degree of change in the brain network; After measuring the patient''s EEG, the EEG measurement unit for extracting and providing only the EEG corresponding to the resting period; A functional connectivity matrix generator for generating a functional connectivity matrix for each resting EEG stored in the EEG data collection unit when learning a neural network, and for generating a functional connectivity matrix for the patient EEG when analyzing a patient EEG; A graph theory analysis unit for grasping a graph theory analysis value by performing a graph theory analysis on the functional connectivity matrix; When learning a neural network, the graph theory analysis value corresponding to each resting EEG stored in the EEG data collection unit is taken as an input condition, and a plurality of learning data having a degree of brain network change as an output condition is generated, and then the plurality of learning A neural network learning unit that repeatedly trains a neural network through data; And an epilepsy analyzer configured to grasp and report a degree of change in a brain network corresponding to a graph theory analysis value derived from the patient''s brain wave using the neural network when analyzing the patient EEG.
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