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Brain wave analysis method

An analysis method and brain wave technology, applied in the field of brain wave analysis, can solve problems such as poor real-time performance, poor individual pertinence, and inability to perform quantitative analysis, and achieve the effect of improving accuracy and effectiveness

Inactive Publication Date: 2010-04-07
EAST CHINA UNIV OF SCI & TECH +1
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Problems solved by technology

[0019] The present invention provides a brain wave analysis method, which solves the problems of inability to perform quantitative analysis, poor real-time performance, and poor individual pertinence in the background technology, and solves problems of brain wave signal analysis by applying classic time-frequency domain analysis and principal component analysis methods. The difficult problem of feature extraction, successfully extracted the time-frequency domain parameters closely related to human tension, fatigue and relaxation, and mapped them to the principal component space, and also used the support vector machine to efficiently analyze the nonlinearity in the principal component space relationship, improving the accuracy and effectiveness of interpretation

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Embodiment Construction

[0107] based on the following Figure 1 ~ Figure 3 , specify the preferred embodiment of the present invention:

[0108]A method for analyzing brain waves, comprising the steps of:

[0109] Step 1, collecting EEG data;

[0110] Collect EEG data in a quiet independent room at room temperature of 25°C;

[0111] Refer to the international 10-20 system to place electrodes and bipolar leads, and use Nihon-KodenEEG1100 to collect, the sampling frequency is 200Hz, and the EEG components below 30Hz are collected. A total of 13 leads are collected, including:

[0112] 8-lead EEG: Fp1-A1, F3-A1, O1-A1, Fp2-A2, F4-A2, O2-A2, Fz-Aav and Cz-Aav;

[0113] 1 lead skin impedance SCR;

[0114] 1-lead ECG;

[0115] 1 lead level HEOG;

[0116] 1 lead vertical VEOG;

[0117] 1 lead myoelectric EMG;

[0118] Step 2, performing time-domain analysis on the collected EEG data;

[0119] Step 2.1, EEG playback, to understand whether there are obvious artifacts in the collected data;

[0120] ...

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Abstract

The invention provides a brain wave analysis method. The method uses classical time-frequency domain analysis and principal component analysis methods to solve the problem of electroencephalographic feature extraction, successfully extracts time-frequency domain parameters closely related to the tension, fatigue and relaxation of human bodies, maps the time-frequency domain parameters into principal component space, and uses a support vector machine to efficiently analyze non-linear relation in the principal component space so as to improve the accuracy and validity of interpretation.

Description

technical field [0001] The invention relates to human health engineering, neurophysiology, biomedical digital signal processing technology, pattern extraction and pattern classification, software engineering, and in particular to a brain wave analysis method. Background technique [0002] In addition to the prosperity of the city, the rapid urban rhythm and fierce market competition have brought us more and more work pressure on white-collar workers. As a result, more and more people are in a sub-health state. . The main symptoms of sub-health should include fatigue, insomnia, headache, muscle and joint pain, frequent colds, chest tightness, shortness of breath, heart palpitations, loss of appetite and other physical manifestations; depression, anxiety, fear, apathy, loneliness, jealousy, lack of energy, Psychological manifestations such as depression; and social adaptation manifestations such as inability to undertake corresponding social obligations and responsibilities w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/04A61B19/00
Inventor 邹俊忠陈兰岚张见王桂松张冬丽
Owner EAST CHINA UNIV OF SCI & TECH
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