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Method and device for detecting high-frequency oscillation rhythm based on integrated classification

A high-frequency oscillation and detection method technology, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as unbalanced high-frequency oscillation rhythms and non-high-frequency oscillation rhythms, and overcome class imbalances , Improve the effect of detection performance

Active Publication Date: 2022-04-12
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

[0007] The main purpose of the present invention is to solve the class imbalance problem between the high-frequency oscillation rhythm and the non-high-frequency oscillation rhythm that cannot be solved in the prior art

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  • Method and device for detecting high-frequency oscillation rhythm based on integrated classification
  • Method and device for detecting high-frequency oscillation rhythm based on integrated classification
  • Method and device for detecting high-frequency oscillation rhythm based on integrated classification

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Embodiment Construction

[0068] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0069] The invention provides a method for detecting high-frequency oscillation rhythm based on integrated classification. The method adopts the sample weight adjustment factor to adjust the weight of the training sample of the support vector machine integrated classifier based on self-adaptive promotion, and uses the integrated classification after the sample weight adjustment The detector detects the high-frequency oscillation rhythm, overcomes the class imbalance problem between the high-frequency oscillation rhythm and the non-high-frequency oscillation rhythm, thereby improving the detection performance of the high-frequency oscillation rhythm;

[0070] refer to figure 1 , a method for detecting high-frequency oscillation rhythm based on integrated classification, specifically comprising the following steps:

[...

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Abstract

The present invention relates to the field of epilepsy EEG signal processing, and provides a high-frequency oscillation rhythm detection method based on integrated classification, comprising the following steps: calculating the preprocessed EEG signal through the root mean square algorithm, and obtaining the preprocessed EEG signal The suspected high-frequency oscillatory rhythm in the sample; the feature extraction of the wavelet coefficients of the suspected high-frequency oscillatory rhythm is performed through the noise reduction self-encoder network, and the time-frequency domain characteristics of the suspected high-frequency oscillatory rhythm are obtained; the integration after adjusting the sample weight A classifier detects the time-frequency domain features to obtain a high-frequency oscillation rhythm. The invention performs integrated classification based on sample weight adjustment, overcomes the problem of class imbalance between the high-frequency oscillation rhythm and the non-high-frequency oscillation rhythm, and improves the detection performance of the high-frequency oscillation rhythm.

Description

technical field [0001] The invention relates to the field of epilepsy EEG signal processing, in particular to a method and device for detecting high-frequency oscillation rhythm based on integrated classification. Background technique [0002] Epilepsy is a common neurological disorder, with approximately 70 million epilepsy patients worldwide. Most epileptic patients can effectively suppress seizures by taking antiepileptic drugs (such as phenytoin, ethosuximide, carbamazepine, valproic acid, etc.), but about 30% of patients are still insensitive to drugs. These patients are difficult to suppress seizures with drugs, and thus are diagnosed as patients with intractable epilepsy. [0003] Surgical resection of epileptic foci is an effective method for the treatment of intractable epilepsy. In the past 20 years, a large number of studies have shown that high-frequency oscillatory rhythm is a significant biomarker of the onset of epileptic seizures. Surgical removal of the br...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/372G06K9/00G06K9/62
CPCA61B5/7203A61B5/726A61B5/7264A61B5/7225A61B5/4094G06V10/52G06F2218/06G06F2218/08G06F2218/12G06F18/2411
Inventor 吴敏覃宏振万雄波杜玉晓
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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