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EMD and CSP fusion optimal wavelength space filtering electroencephalogram characteristic extraction method

An optimal wavelength, spatial filtering technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve problems such as multiple input, lack of frequency domain information, etc.

Inactive Publication Date: 2018-09-25
NANJING UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

3) Calculate the optimal wavelength of the signal matrix, and then decompose the public space mode to solve the problem of CSP multi-input and lack of frequency domain information

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  • EMD and CSP fusion optimal wavelength space filtering electroencephalogram characteristic extraction method
  • EMD and CSP fusion optimal wavelength space filtering electroencephalogram characteristic extraction method
  • EMD and CSP fusion optimal wavelength space filtering electroencephalogram characteristic extraction method

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Embodiment Construction

[0077] The present invention will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0078] Such as figure 1 As shown, the method of the present invention includes the following steps:

[0079] Step 1: Collect the EEG signals of each subject. Select the EEG signals of 9 subjects as the training set and test set, and preprocess the signals in the two channels C3 and C4 of a single subject respectively;

[0080] Step 2: Perform empirical mode decomposition on the preprocessed EEG signal x(t); obtain a series of intrinsic mode functions IMF i (i is the order of the intrinsic mode function) and draw all intrinsic mode function energy spectra;

[0081] The specific steps for empirical mode decomposition of EEG signal are as follows:

[0082] (1) Judge the local extremum of each x(t), use cubic spline curve to fit the curve, and the local maximum forms the upper envelope e max (t), the local minimum forms the lower envelope e min (t...

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Abstract

The invention discloses an EMD and CSP fusion optimal wavelength space filtering electroencephalogram characteristic extraction method. The method is characterized by carrying out empirical mode (EMD)decomposition on a preprocessed signal and acquiring intrinsic mode functions (IMFs); observing and calculating the energy spectrum of each IMF component, screening an effective IMF frequency range (5-28Hz), forming a new signal matrix and carrying out optimal wavelength calculating; using a CSP filter to carry out filtering and acquiring a characteristic; and finally using a support vector machine (SVM) to carry out classification. A classification result shows that the average classification accuracy of nine subject imaginary movements is over 95%, which ensures the feasibility and effectiveness of the method.

Description

Technical field [0001] The present invention relates to an EMD and CSP fusion optimal wavelength space filter EEG feature extraction method, and belongs to the technical field of intelligent information processing. Background technique [0002] The traditional exercise channel is composed of brain nerves and muscles. The nerves conduct impulses and the muscles cooperate to complete the corresponding actions. The Brain-Computer Interface (BCI) provides another exercise channel without relying on traditional exercises. Channel, the brain consciousness is directly connected to the external device to establish a movement channel, and the human brain consciousness is used to control the external device without nerve conduction and muscle movement. It provides a new way of movement for patients with nerve or muscle damage. You need to rely on the care of others to complete the exercise yourself. The development of brain-computer interface technology can not only help paralyzed patient...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/08G06F2218/12G06F18/2134G06F18/2411
Inventor 张学军王龙强黄婉露何涛成谢锋
Owner NANJING UNIV OF POSTS & TELECOMM
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