Human brain consciousness state prediction device

Abstract

The invention relates to the technical field of medical imaging, and particularly provides a human brain consciousness state prediction device, for solving the technical problem of predicting the human brain consciousness state. The human brain consciousness state prediction device comprises a consciousness state prediction model which can predict human brain consciousness state according to imaging characteristics of the human brain and corresponding clinical information. Specifically, an imaging characteristic calculation module of the consciousness state prediction model can calculate imaging characteristics for representing brain connection state of a patient, an imaging characteristic screening module can screen out the imaging characteristics having high prognosis relevance, an imaging characteristic processing module can combine the imaging characteristics with the clinical information to acquire new characteristic vector, and a model training module can train the partial leastsquares regression model according to the characteristic vector so as to obtain the final prediction model. The prediction device can predict human brain consciousness state effectively from all sideby combination of the clinical information and the imaging detection information.

Description

technical field [0001] The invention relates to the technical field of medical imaging, in particular to a device for predicting the state of consciousness of the human brain. Background technique [0002] Impairment of consciousness refers to the impairment of people's ability to recognize and perceive the surrounding environment and their own state, which is mainly caused by the impairment of high-level nervous center function activities, and can be specifically manifested as drowsiness, confusion, drowsiness, and coma. [0003] At present, the prediction of the brain state of consciousness in coma can use Glasgow Coma Scale (Glasgow ComaScale, GCS), prediction methods based on changes in behavioral characteristics, prediction methods based on EEG, prediction methods based on evoked potentials, brain CT images or Prediction methods based on brain MRI images, and prediction methods based on brain and systemic physiological changes. [0004] Specifically, the Glasgow Coma S...

AI Technical Summary

Problems solved by technology

[0004] Specifically, the Glasgow Coma Scale (GCS) can objectively predict the brain state of consciousness of coma patients, but this method relies on the doctor's clinical observation of the patient and has a high misjudgment rate

Images