Method for extracting brain electrical character of imagine movement of single side podosoma

An extraction method and motion technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of difficult linear separability of feature vectors and low recognition rate

Inactive Publication Date: 2008-07-16
BEIJING UNIV OF TECH
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Problems solved by technology

However, due to the nonlinearity of EEG, the resulting feature vectors are hardly linearly separable, so lin

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  • Method for extracting brain electrical character of imagine movement of single side podosoma
  • Method for extracting brain electrical character of imagine movement of single side podosoma
  • Method for extracting brain electrical character of imagine movement of single side podosoma

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[0046] The 16-channel electrode cap is used to collect electroencephalogram signals (EEG). The EEG signals are amplified by the EEG amplifier and A / D converted. The number of left and right hand imagination trials is 210, and 140 of them (the number of left and right hand trials are 70 each) are taken as the training data set.

[0047] 1) Design a 48-order FIR filter with 512 sampling points to filter the data in the low frequency band of 0-3Hz, set a time window of 500ms before the imaginary action occurs, and take the arithmetic mean of the data after 140 times of frequency domain and time domain filtering. data2, prepare for the construction of CSP left and right hand action space filter.

[0048] 2) Design a 48-order FIR filter with 512 sampling points to perform 8-30Hz band-pass filtering on the data, and set a time window of 1-2s after the imaginary action occurs. Take the square value of the data in this data segment, and set a 200ms sliding time window to prepare for ...

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Abstract

The invention relates to an extraction method of EEG characteristics of imagination of single-side limb motion in a brain-computer interface device. The classification of the characteristics of imagination of single-side motion has stronger pertinence, which is decided by the nature of excluding same tasks and extracting different tasks of a CSP space filtering method; at the same time, due to the combination of CSP algorithm and FDA characteristics extraction, the dimension of input vectors is reduced, and the marketability of a classifier is enhanced; therefore, the classification accuracy rate is enhanced to a certain extent; adopting Fisher Differentiation and Analysis (FDA), ten-dimension input vector v1, v2(v1 is four-dimension, and v2 is six-dimension) are reduced into two one-dimension input vectors f1, f2, and then classification is carried out by a support vector machine, thereby not only improving classification accuracy rate, but also avoiding the problem of dimension disaster caused by too high dimension ,as well as being beneficial to the popularization of the classifier.

Description

technical field [0001] The invention relates to a method for extracting imaginary action potentials in a brain-computer interface (BCI) system. Background technique [0002] At present, there are many diseases that can damage the neuromuscular pathways that communicate and control the brain with the external environment, such as cerebral palsy, multiple sclerosis and amyotrophic lateral sclerosis (Amyotrophic Lateral Sclerosis, ALS). These disorders cause a person to lose some or all of their voluntary muscle control. Modern life support technology can prolong the life time of patients, but the quality of life of patients is low, and the burden on families and society is also very heavy. [0003] With the advancement of computer technology and the deepening of brain function research, people began to try to establish a new communication and control pathway that does not depend on muscles to transmit information and commands between the brain and the outside world. This is t...

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Application Information

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IPC IPC(8): A61B5/048A61B5/0476A61B5/374
Inventor 李明爱刘净瑜王蕊乔俊飞郝冬梅于建均龚道雄
Owner BEIJING UNIV OF TECH
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