Time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms

Abstract

The present invention discloses a time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms. Firstly, acquiring brain electrical signals of an epileptic patient and also extracting original signals corresponding to the suspected high-frequency oscillation rhythms; then conducting peak signal detection on the original signals corresponding to the suspected high-frequency oscillation rhythms, removing the detected peak signals and obtaining the high-frequency oscillation rhythms with high precision. The detection of the peak signals uses the time-frequency-analysis-based method, a box-plot is used to obtain upper quartile and lower quartile of signal power, peak activity mixed in the high-frequency oscillation rhythms is detected,and the detection precision of the high-frequency oscillation rhythms of the epileptic brain electrical signals is improved. The present invention discloses a high-frequency oscillation rhythm detection device and a storage device and realizes the high-frequency oscillation rhythm detection method. The time-frequency-analysis-based method has the beneficial effects of improving the detection precision of the high-frequency oscillation rhythms of the epileptic brain electrical signals and helping doctors to diagnose epilepsia and remove epileptogenic focus.

Description

technical field [0001] The invention relates to a method for automatically separating peak activity in high-frequency oscillation rhythm based on time-frequency analysis, which belongs to the field of epilepsy EEG signal processing. Background technique [0002] Epilepsy is a common neurological disorder characterized by spontaneity and unpredictability. During a seizure, people often show abnormalities in movement and behavior. The prevalence of epilepsy in the world is 0.5%-1%, of which it is 0.7% in my country, and it is still increasing year by year. Most epilepsy patients can be treated with antiepileptic drugs, but there are still about 30% of patients whose seizures cannot be controlled by drugs, so they are diagnosed as intractable epilepsy patients. [0003] Refractory epilepsy refers to conventional and systematic antiepileptic drug treatment, the concentration of antiepileptic drugs in the blood remains within the effective range, but the patient's seizures cann...

AI Technical Summary

Problems solved by technology

However, the low-frequency frequency components detected by this method are easily interfered by other signals, which makes the positioning result wrong and leads to the failure of the resection operation.

At the same time, this method is very time-consuming, and the positioning time is about 24-72 hours, which increases the risk of surgery

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