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Electroencephalogram and electromyogram synchronous acquisition and information transfer characteristic analysis method

A technology of synchronous acquisition and information transmission, applied in the field of rehabilitation engineering, can solve the problems of no direction resolution, no consideration of specific information sequence and time, and inability to rule out the interference of homologous information, etc.

Inactive Publication Date: 2014-02-19
YANSHAN UNIV
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Problems solved by technology

This method was originally proposed for mechanical fault diagnosis, but the research on the control feedback mechanism of the motor nervous system still has the following deficiencies: the information transfer relationship is described by calculating the amount of information shared between two information sources, regardless of the order in which specific information appears and time, there is no direction resolution in essence, and the interference of homologous information cannot be ruled out

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  • Electroencephalogram and electromyogram synchronous acquisition and information transfer characteristic analysis method
  • Electroencephalogram and electromyogram synchronous acquisition and information transfer characteristic analysis method
  • Electroencephalogram and electromyogram synchronous acquisition and information transfer characteristic analysis method

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Embodiment Construction

[0037] The physiological electrical signal of the human body changes with external stimuli and changes in its own state, resulting in the non-stationarity of the physiological electrical signal, which makes the brain electrical signal and the electromyographic signal have nonlinear characteristics. Since information entropy can describe the linear and non-linear information correlation between signals, the present invention obtains the information transmission relationship between the cerebral cortex and muscles in different motion states by calculating the amount of common information between the newly added state of the signal and the historical state of the source signal , And then study the physiological mechanism of motor dysfunction. Specific methods include signal synchronization acquisition part and signal processing part;

[0038] (1) The signal synchronization acquisition part includes: EEG signal acquisition and EMG signal acquisition;

[0039] (1-1) The EEG signal coll...

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Abstract

The invention relates to the fields of rehabilitation engineering, neural engineering and dyskinesia mechanism research, in particular to an electroencephalogram and electromyogram synchronous acquisition and information transfer characteristic analysis method. The method includes an electroencephalogram and electromyogram synchronous acquisition step and a signal processing step, the electroencephalogram and electromyogram synchronous acquisition step includes electroencephalogram acquisition and electromyogram acquisition, and the signal processing step includes signal preprocessing and an electroencephalogram and electromyogram transfer characteristic analysis method. The method has applicability and adoptability and has significant application value in the rehabilitation medicine field.

Description

Technical field [0001] The invention relates to the field of rehabilitation engineering, neural engineering and dyskinesia mechanism research, in particular to a brain myoelectric information transmission characteristic analysis method based on the state transition rate under the synchronous brain myoelectric acquisition. Background technique [0002] Scalp electroencephalogram (EEG) is a manifestation of neuroelectric activity in the cerebral cortex, and surface electromyography (sEMG) is a manifestation of muscle electrical activity. The two are respectively used as the representative signals of the human body's command center and executive end. Important research significance. Since Conway discovered in 1995 that there is a correlation between muscle electrical signals and brain magnetic signals during exercise, studies have been carried out to explore the relationship between the cerebral sensory function cortex and muscle function based on the relevant synchronization charac...

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Application Information

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IPC IPC(8): A61B5/0476A61B5/0488
Inventor 谢平杜义浩马培培梁振虎苏玉萍
Owner YANSHAN UNIV
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