Brain disease prediction system

A technology for predicting systems and diseases, applied in the field of bioinformatics, can solve problems such as being susceptible to external interference, weak EEG signal amplitude, and large volume

Inactive Publication Date: 2019-02-22
BEIJING UNIV OF POSTS & TELECOMM
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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 u...

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Embodiment Construction

[0012] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0013] Compared with normal EEG signals, the EEG signals of patients with brain diseases often present their own inherent characteristics. The detection of electrical signals requires high equipment processing capabilities and cannot be applied to portable devices. Therefore, it is difficult to detect the EEG signals of patients before symptoms occur in time.

[0014] In view of the above problems, the embodiment of the present invention provides a brain disease prediction system, such as figure 1 Shown is a structural block diagram of a brain disease prediction system according to an embodiment of the present invention, consisting of figure 1 It can be seen that the sys...

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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...

Claims

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Application Information

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IPC IPC(8): A61B5/0476
CPCA61B5/7246A61B5/369
Inventor 王莉常春起冯志勇丁峙艾渝童牟翰林
Owner BEIJING UNIV OF POSTS & TELECOMM
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