Noninvasive Intracranial Pressure Detection System Based On Spontaneous And Visually Induced EEG Signals

Intracranial pressure(ICP)refers to the pressure of the cranial contents on the wall of the cranial cavity.Due to physiological regulation,the intracranial pressure of normal people is maintained at a relatively stable value.Intracranial hypertension is the main cause of secondary brain injury.The degree and duration of intracranial hypertension have been shown to be directly related to patient survival and permanent brain dysfunction.Therefore,the dynamic continuous monitoring of ICP is very important for patients with craniocerebral injury and severe neurological diseases,and is the basis for preventing and controlling intracranial hypertension and determining treatment options.Invasive ICP detection methods based on lumbar puncture and intraventricular puncture have risks of intracranial infection,brain damage,and bleeding,and are not suitable for long-term monitoring;ICP detection methods based on transcranial Doppler,optic nerve sheath diameter,flash visual evoked potential,etc.generally have the problem of low detection accuracy and cannot meet the clinical detection requirements.Therefore,a safe,accurate,non-destructive and convenient intracranial pressure detection method is urgently needed to meet the application requirements of clinical medicine.In view of the above problems,this paper designs an intracranial pressure detection system based on EEG signals.The system mainly consists of a file module,patient information acquisition and input module,experimental paradigm design and data acquisition module,and EEG data preprocessing module,EEG data analysis module,statistical analysis module.Among them,the file module is responsible for importing EEG signals in different formats,clearing the work area,and shutting down the system.Patient information and input module is used to input and record the patient's basic information,disease information and medication information;The design of experimental paradigm and data acquisition module completed the collection of patients' resting-state EEG and steady-state visual-evoked EEG signals(SSVEP);The EEG preprocessing module implements functions such as removing bad channels,filtering,and removing artifacts,so as to obtain clean and effectiveEEG signals,which guarantees the accuracy of subsequent analysis and processing results;The data analysis module completes time-domain and frequency-domain analysis of EEG data,and builds brain networks.The statistics module is responsible for optimizing the combination of the characteristics obtained from the analysis of EEG data,completing the classification of EEG and detecting the intracranial pressure value,and provides a reference for the diagnosis and treatment of patients by the doctor.The innovations completed in this article are as follows:(1)A modular intracranial pressure detection system based on mixed programming of Matlab and C language is designed.This system has strong data processing capabilities,friendly interface and convenient operation functions,which is convenient for doctors to operate independently;(2)Designed an intracranial pressure detection method based on spontaneous and visually induced EEG signals,using two experimental modes of task state and resting state and using multi-lead dry electrodes to collect EEG,Not only can it expand the applicable population,realize the diversification of EEG features,improve the versatility of detection,but also avoid the complicated steps of wet electrode operation,and the simple operation can be used for long-term detection;(3)The combination of brain function network features and power spectrum features,and the use of support vector machines to achieve regression detection of patients' intracranial pressure signals,and achieved good detection results.