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Brain electrical signal recovery method in brain-machine interaction

An EEG signal and brain-computer interaction technology, applied in the field of biomedical engineering, can solve problems such as difficulty in recovering scalp EEG signals, and achieve the effect of being conducive to detection and estimation and optimal output performance

Inactive Publication Date: 2008-01-09
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

When the noise is enhanced and the EEG signal is weak, the restoration of the scalp EEG signal becomes very difficult due to the limitation of the noise reduction ability of the method itself

Method used

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  • Brain electrical signal recovery method in brain-machine interaction
  • Brain electrical signal recovery method in brain-machine interaction
  • Brain electrical signal recovery method in brain-machine interaction

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Embodiment Construction

[0024] The present invention proposes a method for restoring weak scalp EEG signals in brain-computer interaction, wherein Fig. 1 is a schematic diagram of a sampled and amplified EEG analog signal, and Fig. 2 is a schematic diagram of an EEG digital signal not polluted by noise. The 0, 1 aperiodic sequence scalp EEG signal after detection, amplification and A / D conversion is used as the input signal of the nonlinear bistable restoration system, as shown in Figure 3.

[0025] The above nonlinear bistable recovery system model can be described by formula (1):

[0026] dx dt = ax - b x 3 + f ( t ) + ξ ( t ) - - - ( 1 )

[0027] Among them, the system p...

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Abstract

The invention includes steps: (1) converting detected brain electrical signal of scalp into digital sequence of brain electrical signal (DSBES), and obtaining recovered signal by processing the said digital sequence as the input signal of system; (2) under condition that the input brain electrical signal can be converted to super-threshold signal from hypo-threshold signal, the method obtains all system parameters corresponding to height of system potential barrier; (3) selecting system parameters from range of step (2) to make DSBES meet requirement of equal probability between positive and negative waveforms; (4) discriminating the result processed by the system by using mean of DSBES as threshold value. Comparing with prior art, the invention is in favor of detecting and estimating weak brain electrical signal in condition of strong noise, and obtains better-recovered result closer to original signal.

Description

technical field [0001] The invention relates to a method for processing electroencephalogram signals belonging to the field of biomedical engineering, in particular to a restoration method for weak scalp electroencephalogram signals in brain-computer interaction. Background technique [0002] The performance of brain-computer interaction systems is largely affected by the quality of scalp EEG signals. Since the scalp EEG signal is the electrical activity of the cerebral cortex guided through soft tissues such as the skull, muscles, and scalp, among which the skull, scalp, and blood will all reduce the potential of the EEG, so the scalp EEG signal has a weak signal and is susceptible to noise. interference etc. The currently widely used scalp EEG signal restoration method can make full use of the prior knowledge of signal degradation to eliminate noise, and the final restoration result can better approximate the scalp EEG signal that is not polluted by noise. However, these...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 范影乐李轶周丽霞张小鹏郭浙伟陈可刘亚景
Owner HANGZHOU DIANZI UNIV