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Synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method

An analytical method, a synergistic technology, applied in the field of rehabilitation engineering

Active Publication Date: 2012-09-05
禹锡科技(天津)有限公司
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Problems solved by technology

But the coherence coefficient has its limitations, it can only reflect the information of some bands of the signal spectrum analysis

Method used

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  • Synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method
  • Synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method
  • Synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method

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Embodiment Construction

[0038] As far as its source is concerned, the electrophysiological signal can be regarded as a signal collected from a complex system composed of multiple interacting subsystems, which makes the EEG signal and EMG signal have nonlinear and non-stationary characteristics, while Spectral analysis methods such as coherence coefficients are only maximally sensitive to data that are linear and interdependently symmetric. The synchronization likelihood method designed in the present invention is a time-domain-based evaluation technology for multivariate signals produced by nonlinear non-stationary systems. By using the synchronization likelihood to analyze the EEG synergy, the Accurate information on the synchronization of EEG and EMG under different external stimuli.

[0039] 1.1 System settings and data collection

[0040] figure 1 The interactive man-machine interface for the data collection of this system can be used to establish the operation panel of real instruments and met...

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Abstract

The invention relates to the fields of researches of rehabilitation engineering and motion mechanism. In order to completely remain full waveband information of electroencephalographic signals and electromyographic signals and obtain complete synergistic evaluation results in time domain and frequency domain so as to improve medical auxiliary facility evaluation parameters and motion mechanism evaluation parameters, the technical scheme adopted in the invention is as follows: a synchronization likehood-based electroencephalograph and electromyography synergistic analyzing method comprises thesteps of: 1, signal acquisition: 1.1 electroencephalographic signal acquisition, and1.2 electromyographic signal acquisition; and 2, data processing: 1.1 data preprocessing: respectively filtering the electroencephalo-graphic signals and the electromyographic signals by using a Butterworth three-order band-pass filter, selecting electroencephalo-graphic signal cut-off frequencies of 2Hz and 40Hz and electromyographic signal cut-off frequencies of 2Hz and 200Hz according to effective frequency band characteristics of the signals, and 1.2 carrying out a synchronization likehood analysis method.The invention is mainly applied to design and manufacture of rehabilitation devices.

Description

technical field [0001] The invention relates to the field of rehabilitation engineering and the field of motion mechanism research, in particular to a synchronous likelihood-based brain electromyography synergy analysis method. Background technique [0002] Electroencephalogram (EEG) signals and electromyography (EMG) signals are representative signals of the human body command center and executive terminal respectively, and their importance in the field of body motor function is self-evident. At the end of the 20th century, the research on the correlation analysis of two signals has been carried out. In 1995, Conway et al. recorded the magnetoencephalogram (MEG) and EMG data in the state of steady grip force at the same time, and by analyzing the self-power spectrum and cross-spectrum information between signals of different signals, they initially obtained the EEG and EMG data in different band ranges. Related Information. Subsequent studies gradually used EEG signals to...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0488A61B5/0476
Inventor 任玥明东綦宏志袁丁万柏坤
Owner 禹锡科技(天津)有限公司
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