LSTM based electroencephalogram signal source location method

A technology of EEG signal and source location, applied in the field of EEG signal processing

Active Publication Date: 2019-08-06
BEIJING UNIV OF TECH
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Problems solved by technology

However, the above methods all rely on the selection of constraints. Good constraints can bring good results, but limited by the development of neurobiology, the selection of constraints basically depends on guesswork and experimentation, and there is no scientific guidance. As a result, the traditional EEG signal source location method has not achieved a good effect and has been widely used in clinical medicine.

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  • LSTM based electroencephalogram signal source location method
  • LSTM based electroencephalogram signal source location method
  • LSTM based electroencephalogram signal source location method

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0020] The flowchart of the method involved in the present invention is as figure 1 shown, including the following steps:

[0021] Step 1: Simulated EEG data generation

[0022] The invention generates simulated EEG data through the Fieldtrip toolkit. The MRI images of the standard head phantom and the standard BIOSEMI-128 EEG system were used to generate scalp EEG signals. The corresponding head model was established by using FEM. The brain tissue was divided into five types: gray matter, white matter, cerebrospinal fluid, skull, and scalp. The corresponding conductivities were set to 0.43, 0.0024, 1.79, 0.14, and 0.33, respectively. The location of the source signal is randomly selected from all voxels corresponding to the gray matter and white matter. It is generally believed that the dipole source exists in the cerebral cortex, where the...

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Abstract

The invention discloses an LSTM based electroencephalogram signal source location method. The method includes the following steps: step (1) generating analog electroencephalogram data; step (2) constructing an LSTM based location model; step (3) training the location model by using the analog electroencephalogram data; step (4) performing pre-processing on real electroencephalogram data; and step(5) performing location on the signal source of the real electroencephalogram data. According to the technical schemes, the position of the signal source in the brain can be conjectured according to collected electroencephalogram signals.

Description

technical field [0001] The invention belongs to the field of EEG signal processing, and in particular relates to an LSTM-based EEG signal source location method, which provides technical means for estimating the activity of intracranial neurons based on EEG data. Background technique [0002] Electroencephalogram (Electroencephalograph, EEG) is the discharge of brain neuron cells collected through scalp-covered electrodes and conductive media. It is a very popular non-invasive technology for detecting human brain activity, and it has instantaneous resolution at the millisecond level. It has been widely used in the research of brain network and brain-computer interface, and has become an important means of brain science research. EEG signals are the comprehensive performance of the action potential of intracranial neuron clusters. Reconstructing the activity of intracranial neurons through scalp electroencephalography (EEG) is called EEG source imaging, which mainly involves ...

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Application Information

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IPC IPC(8): A61B5/0476G06N3/04G06N3/08
CPCG06N3/08A61B5/369G06N3/044G06N3/045
Inventor 段立娟徐凡崔嵩乔元华
Owner BEIJING UNIV OF TECH
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