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Electroencephalogram signal analyzing monitoring method and device thereof

A technology of EEG signal and analysis method, applied in diagnostic recording/measurement, medical science, complex mathematical operations, etc., can solve problems such as noise sensitivity, unstable results, and reduced real-time performance

Inactive Publication Date: 2008-09-10
李小俚
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AI Technical Summary

Problems solved by technology

The main disadvantages of these nonlinear dynamic analysis methods are the dependence on the data length and the sensitivity to noise
Too long data will reduce real-time performance, and too short data will make the results unstable; EEG signals contain different degrees of noise, which will directly affect the results

Method used

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  • Electroencephalogram signal analyzing monitoring method and device thereof
  • Electroencephalogram signal analyzing monitoring method and device thereof
  • Electroencephalogram signal analyzing monitoring method and device thereof

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Embodiment Construction

[0025] figure 1 Shown is the working flow chart of the present invention. First is step 101, collecting EEG signals. In this embodiment, EEG signals are collected from 9 patients undergoing surgical operations, including gynecology, general surgery, and plastic surgery. In this embodiment, the sampling frequency is 100 Hz. Using Entropy TM The company's combination electrodes record EEG signals on the forehead and temples, where the skin is washed and dried before measurements are taken.

[0026] Removing artifacts (artefact) in the original EEG signal is a very important step, such as step 102 . There are some typical artifacts in raw EEG signals, including EMG, eye movement, and white noise. EEG activity is a signal with a wide bandwidth (0-1000HZ), and external interference signals may also have various frequency components, so the EEG signal is equivalent to a signal with noise superimposed on each frequency component. Such as Figure 2A As shown in , it shows a raw...

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Abstract

The invention discloses a method and a device for analyzing brain wave signals, which comprises steps of: (1) collecting original brain wave signals; (2) removing artifacts or noises in the original brain wave signals; (3) phase-space reconstructing of the preprocessed brain wave signals for obtaining a recurrence plot; (4) quantitative analyzing of the recurrence plot for calculating assured value DET of the recurrence plot; wherein, the artifacts in the original brain wave signals are removed by a mixed method of wavelet transformation and empirical mode decomposition. The phase-space reconstructing reconstructs phase-space vector by a method of delaying time so as to obtain the recurrence plot and calculate the ratio of recursion points on diagonal structure of the recurrence plot to all recursion points for obtaining the assured value DET. The method and the device provide good quantified indexes for doctors and accurate and real-time changing situation of depth of anesthesia during the process of the anesthesia, or are used for researching and analyzing change of brain functions, situation of sedation and analgesis, change of a cognizing function, etc.

Description

technical field [0001] The invention relates to a method and a device for analyzing electroencephalogram signals, in particular to a method and a device for describing brain states by analyzing and monitoring electroencephalogram signals in real time. Background technique [0002] EEG signal monitoring and analysis is mainly used in the research of brain function changes, sedation and analgesia, cognitive function changes, anesthesia depth monitoring and anesthesia recovery changes. It usually converts complex EEG signals into a single index, At present, the EEG monitoring systems commonly used in clinical practice include EEG bispectral index (BIS), auditory evoked potential index (AEI), entropy index and so on. [0003] The bispectral index (BIS) analysis method is currently a common method for EEG monitoring of the degree of anesthesia and sedation (please refer to Ira J Rampil, A primer for EEG signal processing in anesthesia, Anesthesiology, 1998, 89: 980-1002), so far ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476G06F17/10
Inventor 李小俚崔素媛欧阳高翔
Owner 李小俚
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