Brain section coupling analysis method based on synchronous screening

A coupling analysis and coupling technology, applied in the field of signal processing, can solve problems such as increasing computational complexity, large data size, and annihilation

Active Publication Date: 2018-04-06
HANGZHOU DIANZI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, a problem faced when dealing with motion-related EEG is that EEG contains a large number of non-motion-related components. These non-related component

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  • Brain section coupling analysis method based on synchronous screening
  • Brain section coupling analysis method based on synchronous screening
  • Brain section coupling analysis method based on synchronous screening

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Embodiment Construction

[0035] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operating procedures.

[0036] in figure 2 is a schematic diagram of asynchronous components;

[0037] Such as figure 1 As shown, this embodiment includes the following steps:

[0038] In step 1, 32 channels of electroencephalogram (EEG) and 12 channels of electromyography (EMG) were collected synchronously with different grip force outputs. The specific collection operation is as follows:

[0039] Select 6 healthy subjects without any medical history. In a quiet laboratory, the subjects sit upright on a wooden chair and place the dynamometer on the palms of the subjects. Immediately after receiving the signal, the subject gripped the dynamometer from zero scale to the target scale (the targe...

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Abstract

The invention discloses a brain section coupling analysis method based on synchronous screening. The method comprises first synchronously acquiring EEG signals in 32 channels and EMG signals in 12 channels when different gripping power is output; in order to research a coupling relation of an EEG motor area and a sensory area in a gripping power output process, analyzing the EEG signals and brachioradialis signals of multiple channels, such as leads C3, C4, CP5, and CP6, in the motor area and the sensory area of the brain; then extracting the synchronous information of the EEG and the EMG by using a synchronous screening algorithm to obtain SSEM (Synchronous Screening of EEG Signals Based on EMG Signals); and finally calculating the symbol transfer entropy of the SSEM to determine its coupling relation. The method can remove data unrelated to motion and reduce a data size.

Description

technical field [0001] The invention belongs to the field of signal processing, and relates to a method for coupling electroencephalogram and electromyography signals, in particular to a method for analyzing states of brain intervals. Background technique [0002] The electroencephalogram (EEG) and electromyography (EMG) signals of the motor cortex respectively reflect motor control information and the functional response information of muscles to the brain's control intention, and there is synchronization between EEG and EMG. Different brain areas have their own special functions, but the brain is an organic whole, and there must be some kind of connection between each brain area. When the brain controls the movement of the upper limbs, the motor nervous system transmits movement control information through the synchronous oscillation of the nerves, and the related brain regions and muscle tissue-related peripheral nerves are also automatically synchronized, thereby stimula...

Claims

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Application Information

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IPC IPC(8): G16H50/50G16H50/70A61B5/0476A61B5/0488
CPCA61B5/7203A61B5/369A61B5/389
Inventor 高云园苏慧需任磊磊孟明佘青山张启忠马玉良
Owner HANGZHOU DIANZI UNIV
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