High-frequency oscillation automatic detection system based on calculation of baseline of maximum peak point distribution

Abstract

The present invention relates to a high-frequency oscillation automatic detection system based on calculation of a baseline of maximum peak point distribution. The system consists of the following modules: a high-frequency oscillation automatic detection module (1), an individualized brain model preparation module (2), and a result integration and report output module (3). The high-frequency oscillation automatic detection module (1) obtains data from an original electroencephalogram of a patient, and after carrying out calculation to obtain a baseline by using an algorithm of calculating a dynamic baseline based on a maximum distribution peal point, obtains a data result; the individualized brain model preparation module (2) obtains data from a nuclear magnetic resonance and CT scanning result, combines the data with the data result obtained by the high-frequency oscillation automatic detection module (1) to draw an individualized brain model jointly; and the result integration and report output module (3) outputs a clinical test report.

Description

Technical field: [0001] The invention relates to a medical electroencephalogram signal detection system, in particular to an automatic high-frequency oscillation detection system based on the maximum peak point distribution calculation baseline. Background technique: [0002] Epilepsy is a common central nervous system disease with an incidence rate of 0.7% in my country. Although drug therapy is the first choice for epilepsy treatment, antiepileptic drugs can only control the seizures of about 60-70% of epilepsy patients and develop into drug-resistant epilepsy. Currently, surgery is the treatment of choice for patients with drug-refractory epilepsy. The key to the success of the operation is whether the epileptogenic zone can be accurately located. At present, due to the inability to accurately locate the epileptogenic zone, the area of ​​surgical resection cannot be clearly defined, so surgery is not possible, or the surgical effect is not good. [0003] In the past te...

AI Technical Summary

Problems solved by technology

[0005] 1. The currently developed automatic detection program cannot accurately measure the baseline when high-frequency oscillation or high-frequency noise occurs frequently

This will seriously affect the accuracy of automatic high-frequency oscillation analysis results

[0006] 2. Although there are some brain model vegetation programs, there is no way to combine the high-frequency oscillation detection results with the patient's individualized brain model to display the form of high-frequency oscillation, making it difficult for clinicians to intuitively analyze high-frequency oscillation and epilepsy Initiation zone or epileptogenic zone relationship

Due to inaccurate baseline measurement, the accuracy of high-frequency oscillation detection and analysis is seriously affected

In addition, the previous high-frequency oscillation detection programs have given results in the form of numerical values, which makes it difficult for clinicians to intuitively understand the relationship between high-frequency oscillations and the onset zone or epileptogenic zone of epilepsy, which also limits the results of high-frequency oscillations. Clinical application

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