Brain disease prediction system

Abstract

The invention provides a brain disease prediction system, which comprises a mobile terminal, wherein the mobile terminal comprises an electroencephalogram signal acquisition device and a disease prediction module; the electroencephalogram signal acquisition device acquires the characteristic data of the electroencephalogram signal of a patient and sends the characteristic data to the disease prediction module; the disease prediction module receives the parameters of a prediction model of brain diseases of a patient, establishes the prediction model of the brain diseases of the patient according to the parameters, inputs the characteristic data of the electroencephalogram signal into the prediction model of the brain diseases of the patient, and performs real-time prediction on the brain diseases of the patient. The complex training task of the disease prediction model is completed outside the mobile terminal, the mobile terminal only receives the parameters of the disease prediction model and establishes the prediction model of the brain diseases of the patient according to the parameters, the requirements of low complexity and portability of the mobile terminal can be met, beforethe disease condition of the patient occurs, the system can quickly respond and remind the patient so as to greatly reduce the probability of the disease condition of the patient.

Description

technical field [0001] The present invention relates to the technical field of biological information, more specifically, to a brain disease prediction system. Background technique [0002] The occurrence of brain diseases (such as epilepsy, Parkinson's syndrome, etc.) will seriously endanger human health. When brain diseases occur, the neural activity of relevant brain regions is abnormal. EEG signals can reflect the electrical activity of brain nerve cells, reflect the neurocognitive process in real time, and have important reference value for the clinical diagnosis and treatment of brain diseases, and the acquisition of EEG signals will not cause trauma to the human body. Therefore, it is currently an effective diagnosis and treatment method to predict the state of brain disease by extracting and processing the patient's EEG signal and judging the current physiological state of the patient. [0003] However, the amplitude of the EEG signal is very weak and is easily subj...

AI Technical Summary

Problems solved by technology

[0003] However, the amplitude of the EEG signal is very weak, and it is susceptible to external interference. Accurate extraction takes a lot of time and requires high equipment processing capabilities.

Medical equipment for EEG signal detection usually requires complex hardware circuits to filter and process EEG signals, resulting in these devices are usually large in size and are only suitable for scientific research or clinical diagnosis and other fields that do not require portable equipment

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