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

A high-frequency oscillation, time-frequency analysis technology, applied in medical science, diagnostic signal processing, sensors, etc., can solve problems such as time-consuming, wrong positioning results, and low-frequency frequency components are easily interfered by other signals.

Active Publication Date: 2019-12-20
CHINA UNIV OF GEOSCIENCES (WUHAN)
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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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  • Time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms
  • Time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms
  • Time-frequency-analysis-based method for automatically separating peak activities in high-frequency oscillation rhythms

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Embodiment Construction

[0062] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.

[0063] Embodiments of the present invention provide a method for automatically separating peak activities in high-frequency oscillation rhythms based on time-frequency analysis.

[0064] Please refer to figure 1 , figure 1 It is a flowchart of a method for automatically separating peak activity in high-frequency oscillation rhythm based on time-frequency analysis in an embodiment of the present invention, specifically including the following steps:

[0065] S101: Collect the original EEG signals of epilepsy patients, and perform 50Hz frequency multiplication notch and 80-500Hz bandpass filtering on the original EEG signals, to obtain the preprocessed brain with the 50Hz frequency multiplication removed and the frequenc...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0476
CPCA61B5/4094A61B5/72A61B5/7225A61B5/369
Inventor 万雄波吴敏方泽林杜玉晓
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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