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Feature extraction method based on electroencephalogram and near infrared signal

A feature extraction and EEG signal technology, applied in the field of brain intention recognition, can solve problems such as lack of researchers, speed up the progress of rehabilitation, and solve the effect of low intention recognition rate

Inactive Publication Date: 2017-06-13
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

However, no researchers have been engaged in the study of different motion parameters, as well as the method of feature extraction and fusion in the joint acquisition of EEG and near-infrared

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  • Feature extraction method based on electroencephalogram and near infrared signal
  • Feature extraction method based on electroencephalogram and near infrared signal
  • Feature extraction method based on electroencephalogram and near infrared signal

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Embodiment Construction

[0046] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0047] The present invention comprises the following steps:

[0048] Under the motor imagery paradigm of different grasping speeds and grasping forces, EEG electrodes and near-infrared probe electrodes were used to jointly collect EEG signals and near-infrared cerebral blood oxygen signals;

[0049] Perform denoising and normalization processing on the collected EEG signals and near-infrared cerebral blood oxygen signals. The denoising and normalization processing can refer to the literature: Yin, X., Xu, B., Jiang, C., Fu, Y., Wang, Z., Li, H., & Shi, G. NIRS-based classification of cleaner force and speed motor imagery with the use of empirical mode decomposition for BCI. Medical engineering & physics, 2015,37(3):280 -286.

[0050] Feature extraction is performed on the EEG signal after denoising and normalization processing and the near-i...

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Abstract

The invention belongs to the field of biomedical engineering and computers, and puts forward a feature extraction method based on an electroencephalogram and near infrared signal. The method mainly comprises the following steps that: (1) simultaneously collecting electroencephalogram and near infrared data; (2) preprocessing the electroencephalogram and near infrared data; (3) carrying out the feature extraction of the electroencephalogram and near infrared data; (4) carrying out the feature fusion of the electroencephalogram and near infrared data; and (5) carrying out brain intention identification. By use of the method, the problems of low brain intention identification rate and few identification instructions in a brain-computer interface are solved, and powerful support is provided for the neurological rehabilitation of patients who suffer from stroke and spinal injury.

Description

technical field [0001] The invention relates to a feature extraction method based on EEG and near-infrared signals, and a brain intention recognition method, belonging to the fields of biomedical engineering and computers. Background technique [0002] Brain-Computer Interface (BCI) is a novel human-computer interface technology, which does not depend on the normal output pathways of the brain (peripheral nerves and muscle tissue), and directly uses brain information to control peripheral computers and other equipment. Realize "mind control". Electroencephalogram (EEG) is the most widely used measurement signal in the brain-computer interface. EEG measures the electric field changes on the scalp surface caused by the post-synaptic potential of a large number of cortical neurons in excited and inhibited states. Due to the influence of the scalp, skull, meninges and cerebrospinal fluid, the measured neuron activity potential has a large attenuation in amplitude and frequency....

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
CPCG06V30/194G06F2218/08
Inventor 石刚尹旭贤赵伟
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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