A device for predicting the state of consciousness of the human brain

Abstract

The present invention relates to the field of medical imaging technology, and specifically provides a device for predicting the state of consciousness of the human brain, aiming to solve the technical problem of how to accurately predict the state of consciousness of the human brain. To this end, the human brain consciousness state prediction device in the present invention includes a consciousness state prediction model, which can predict the consciousness state of the human brain based on the imaging characteristics of the human brain and corresponding clinical information. Specifically, the imaging feature calculation module in the state of consciousness prediction model can calculate imaging features that represent the patient's brain connection status, the imaging feature screening module can screen imaging features that are highly relevant to prognosis, and the imaging feature processing module can Imaging features and clinical information are combined into new feature vectors, and the model training module can train the partial least squares regression model based on the feature vectors to obtain the final prediction model. The prediction device in the present invention takes into account both clinical information and image detection information, thereby being able to comprehensively and effectively predict the state of brain consciousness.

Description

Technical field [0001] The invention relates to the field of medical imaging technology, and in particular to a device for predicting the state of human brain consciousness. Background technique [0002] Disorder of consciousness refers to an impairment in a person's ability to recognize and detect the surrounding environment and one's own state. It is mainly caused by impairment of high-level nerve center functional activities, and can specifically manifest as drowsiness, confusion, lethargy, and coma. [0003] At present, the prediction of coma's brain consciousness state can be based on the Glasgow Coma Scale (GCS), prediction methods based on changes in behavioral characteristics, prediction methods based on electroencephalography, prediction methods based on evoked potentials, prediction methods based on brain CT images or Prediction methods for brain MRI images, as well as prediction methods based on physiological changes in the brain and whole body. [0004] Specific...

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