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Steady-state visual evoked potential brain-computer interface method based on cross-modulation frequency

A steady-state visual induction and cross-modulation technology, applied in the field of brain-computer interface, to achieve the effect of increasing the number of targets, easy implementation, and overcoming the limitation of flicker frequency points

Active Publication Date: 2018-02-09
INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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  • Abstract
  • Description
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a steady-state visual evoked potential brain-computer interface method based on cross-modulation frequency, solve the problem of encoding multiple targets with one stimulation frequency, and greatly increase the number of targets

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  • Steady-state visual evoked potential brain-computer interface method based on cross-modulation frequency
  • Steady-state visual evoked potential brain-computer interface method based on cross-modulation frequency

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Embodiment Construction

[0025] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0026] A steady-state visually evoked potential brain-computer interface method based on cross-modulation frequency, which adopts the cross-modulation frequency encoding method as the induction method of steady-state visually evoked potential, and the EEG acquisition equipment collects the user's EEG signal, stores it and performs pre-processing. Processing (segmentation, down-sampling and band-pass filtering of the EEG signals recorded by the electrodes according to the synchronous signal); frequency features are extracted from the preprocessed steady-state visual evoked potentials, and the extracted frequency features are classified and identified , and finally output the control command. Specifically include the following steps:

[0027] Step 1. Place measurement electrodes at Pz, PO5, PO3, POz, PO4, PO6, O1, Oz, and O2 in the occipital area of...

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Abstract

The present invention relates to a steady-state visual evoked potential brain-computer interface method based on cross modulation frequency. The method has the technical characteristics that a cross modulation frequency encoding method is used as an evoking manner for a steady-state visual evoked potential; an alternating frequency is introduced on the basis of obtaining a stimulation with frequency of F by frequency division of a screen refresh rate; and different cross modulation frequency components F+ / -fi (i = 1, ..., 2xF-1) are generated by changing the alternating frequency fi = F / (i + 1) so as to realize the effect of encoding 2xF-1 different targets by using one stimulation. Compared with a conventional target presentation mode, the number of the targets that can be achieved by the method is improved by 2xF-1 times and the disadvantage that the previous alternative flicker frequency points are restricted is overcome so as to lay a foundation for promoting the utility process of the brain-computer interface; and compared with the existing multi-frequency combined encoding mode, the method is easier to implement, and has important theoretical study and practical application significance.

Description

technical field [0001] The invention belongs to the technical field of brain-computer interface, in particular to a steady-state visual evoked potential brain-computer interface method based on cross-modulation frequency. Background technique [0002] A brain-computer interface is a communication or control system that allows the human brain to interact with external devices in real time. The brain-computer interface can realize computer-based communication or control of external devices by measuring the characteristics of brain signals that carry the user's will and converting them into corresponding device control signals. There are many ways to monitor brain activity, all of which can provide input signals for brain-computer interface in principle. Methods to monitor brain activity include scalp EEG, cortical EEG, single neuron recordings, magnetoencephalography, positron emission computed tomography, functional magnetic resonance imaging, and functional near-infrared im...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01
Inventor 陈小刚高小榕徐圣普谢小波胡勇
Owner INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI
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