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Epileptic electroencephalogram characteristic extraction method based on wearable device

A wearable device and extraction method technology, which is applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problem of small feasibility and achieve the effect of accurate feature extraction and result prediction

Inactive Publication Date: 2017-08-18
苏州国科康成医疗科技有限公司
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Problems solved by technology

[0003] Wearable EEG detection equipment provides great convenience for patients and medical staff, but due to its specificity and timeliness, the feasibility of manual marking is very small

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  • Epileptic electroencephalogram characteristic extraction method based on wearable device
  • Epileptic electroencephalogram characteristic extraction method based on wearable device
  • Epileptic electroencephalogram characteristic extraction method based on wearable device

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Embodiment approach

[0069] As another embodiment of the present invention, the epileptic EEG feature extraction method based on the wearable device also includes steps:

[0070] S30, adding the unlabeled real-time epilepsy EEG data collected by the wearable device to the unlabeled epilepsy EEG data, performing calculation processing together with the marked epilepsy EEG data collected by the hospital, and outputting a real-time updated classifier.

[0071] In this embodiment, the unlabeled real-time epilepsy EEG data collected by the wearable device is added to the unlabeled epilepsy EEG data, and is processed together with the marked epilepsy EEG data collected by the hospital to update the classifier in real time, that is, real-time Update the second classifier above. As the unlabeled real-time epilepsy EEG data collected by wearable devices is constantly changing and updating, the model of the second classifier will be gradually optimized to improve the accuracy of classification.

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Abstract

The invention discloses an epileptic electroencephalogram characteristic extraction method based on a wearable device. The extraction method includes the steps: outputting a classifier with characteristic migration through operational treatment of kernel principle component analysis, a multi-kernel support vector machine and migration characteristic calculation according to marked epileptic electroencephalogram data acquired by a hospital and unmarked epileptic electroencephalogram data acquired by the wearable device; performing characteristic extraction on the unmarked real-time epileptic electroencephalogram data acquired by the wearable device by the aid of kernel principle component analysis, and placing the unmarked real-time epileptic electroencephalogram data after characteristic extraction into the classifier to output predicting results. According to the method, image resources of image departments of various hospitals and image centers are integrated to form an epileptic electroencephalogram characteristic extraction method served for clinic and based on the wearable device, and clinical working efficiency is improved. The epileptic electroencephalogram characteristic extraction method can be rapidly and accurately used for characteristic extraction and result prediction of epileptic electroencephalogram of the wearable device.

Description

technical field [0001] The present invention relates to the technical field of EEG data processing, and more specifically, the present invention relates to a wearable device-based epileptic EEG feature extraction method. Background technique [0002] Epilepsy is a transient brain dysfunction caused by sudden abnormalities of brain neurons, which is characterized by complexity and recurrence. EEG (electroencephalogram, electroencephalogram) is an important means of identifying epilepsy, and the EEG recognition of epilepsy based on feature extraction technology has recently attracted more and more attention. [0003] Wearable EEG detection equipment provides great convenience for patients and medical staff, but due to its specificity and timeliness, the feasibility of manual marking is very small. Contents of the invention [0004] Aiming at the deficiencies in the above technologies, the present invention provides a wearable device-based epilepsy EEG feature extraction met...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0476
CPCA61B5/6801A61B5/7203A61B5/7264A61B5/369
Inventor 刘燕刘伟楠戴亚康佟宝同赵凌霄
Owner 苏州国科康成医疗科技有限公司
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