Cross-subject motor imagery electroencephalogram signal processing method, medium and equipment

An EEG signal and motor imagery technology, which is applied in medical science, instruments, character and pattern recognition, etc., can solve the problem of long offline training time, poor reusability of motor imagery EEG signals, and poor classification accuracy of small-sample training and other issues to achieve the effect of enhancing reusability, improving classification accuracy, and reducing offline training time

Pending Publication Date: 2022-04-15
BEIJING MECHANICAL EQUIP INST
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Problems solved by technology

[0003] Aiming at the problems existing in the prior art, the first purpose of the present invention is to provide a cross-subject small cross-subject solution to solve the problems of poor reusability of motor imagery EEG signals, long offline training time and poor classification accuracy of small sample training. Sample Motor Imagery EEG Signal Processing Method

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  • Cross-subject motor imagery electroencephalogram signal processing method, medium and equipment
  • Cross-subject motor imagery electroencephalogram signal processing method, medium and equipment
  • Cross-subject motor imagery electroencephalogram signal processing method, medium and equipment

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[0044] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art.

[0045] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, apparatus, implem...

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Abstract

The invention discloses a cross-subject motor imagery electroencephalogram signal processing method, medium and equipment, and the method comprises the steps: mixing samples of other auxiliary subjects with small training samples of a target subject, calculating the classification accuracy, improving the contribution degree and weight, and optimizing the feature distribution of the small samples; finally, the purpose of improving the training classification accuracy of the target tested small sample is achieved. According to the method, the phenomenon that data of different subjects cannot be used for cross-subject training due to differences is changed, the reusability of the data is enhanced, and the purposes of reducing the offline training time and improving the classification accuracy of small sample training can be achieved.

Description

technical field [0001] The invention relates to the field of motor imagery EEG signal processing, in particular to a small-sample motor imagery EEG signal processing method across subjects. Background technique [0002] In the field of motor imagery electroencephalography (EEG) signal processing, the number of training samples is a key factor affecting the classification accuracy. Insufficient number of training samples usually leads to overfitting of the model trained by the classifier, resulting in poor classification accuracy. Due to the non-stationarity of the motor imagery EEG signal itself, there are differences in the signal characteristics collected between different subjects or the same subject at different time links, which makes the motor imagery EEG signal reusable. Sex is bad. When each subject is performing a motor imagery experiment, some existing signal processing methods need to spend a lot of time on offline training to obtain sufficient data that is in l...

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Application Information

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IPC IPC(8): A61B5/372G06K9/62
Inventor代峥秦昌宇陈远方
OwnerBEIJING MECHANICAL EQUIP INST