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Simplified distributed dipole model establishment and identification method based on D-K partition

A recognition method and model-building technology, applied in the field of motor imagery EEG signal recognition, can solve the problems of high cost of generating feature data, information redundancy, loss of key information, etc., to avoid feature redundancy and improve the effect of recognition.

Pending Publication Date: 2022-06-17
BEIJING UNIV OF TECH
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Problems solved by technology

However, if the dipoles of the entire cortical layer are used to construct features, it may cause information redundancy and the cost of generating feature data is too high; if the region of interest (ROI) is selected, only part of the dipoles are used to construct features, and it may be loss of key information

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  • Simplified distributed dipole model establishment and identification method based on D-K partition
  • Simplified distributed dipole model establishment and identification method based on D-K partition
  • Simplified distributed dipole model establishment and identification method based on D-K partition

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Embodiment Construction

[0040]The present invention is specifically carried out under the MatlabR2014 simulation environment and the Tensorflow environment under the Windows 10 (64-bit) operating system.

[0041] The data set used in the present invention is BCI2000, which is collected by the international 10-10 standard 64-lead electrode cap, and the sampling frequency is 160 Hz. The dataset recorded MI-EEG signals from 109 subjects, each of whom performed four categories of motor imagery tasks: left fist, right fist, double fist, and double foot. The experiment lasted for a total of 5 s, which were 1 s in the resting state and 4 s in the motor imagery period. The present invention randomly selects 10 subjects for experimental analysis (S5, S6, . In the ablation experiment of this method, samples from 10 subjects will be analyzed as a whole. In addition, the method was tested on all 109 subjects to avoid random chance. All experiments were performed under the criterion of ten-fold cross-validatio...

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Abstract

The invention discloses a simplified distributed dipole model establishment and identification method based on D-K partition, and the method specifically comprises the steps: firstly, carrying out the filtering of an original MI-EEG through different band-pass filters, so as to select an optimal frequency band related to the motor imagery activity; then, electroencephalogram inverse transformation is carried out on each selected sub-band, and scalp EEG is converted into dipoles in the cerebral cortex; thirdly, obtaining a central dipole based on neuroanatomy D-K partition to construct a simplified distributed dipole model, regarding the activity of the cerebral cortex central dipole as a neurodynamic system, and constructing 4D data expression; and finally, fusing the multiband data expressions, inputting the fused multiband data expressions into a designed n-branch parallel nB3DCNN, and carrying out comprehensive feature extraction and recognition from three dimensions of time, frequency and space. According to the invention, under different frequency bands, the amplitude of the dipoles in the 3D space changes along with time, and a small number of central dipoles are utilized to reflect the neural electrical activity caused by motor imagery of the whole cerebral cortex layer.

Description

technical field [0001] The invention relates to brain source imaging (ESI) and three-dimensional convolutional neural network (3DCNN), which are used in the technical field of motor imagery electroencephalogram (MI-EEG) recognition. Background technique [0002] Brain-computer interface (BCI) technology based on motor imagery is an important direction in neurorehabilitation research. How to accurately detect changes in the cerebral cortex is crucial to the decoding of motor imagery. Through the establishment of a head model and EEG signals measured in the scalp, equivalent current dipoles can be calculated with high spatiotemporal resolution to represent neural electrical activity within the brain, providing new insights into cortical dynamics Research ideas. However, if the dipoles of the entire cortical layer are used to construct features, it may cause information redundancy, and the cost of generating feature data is too high. It will result in the loss of key informat...

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Application Information

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IPC IPC(8): A61B5/372
CPCA61B5/372
Inventor 李明爱阮秭威孙炎珺
Owner BEIJING UNIV OF TECH
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