Detection method, system, medium and device for brain-computer interface based on EEG signal

A technology of EEG signal and brain-computer interface, which is applied in the field of blind detection calculation of brain-computer interface, can solve the problems of inconvenient use, and achieve the effect of improving detection accuracy, high recognition accuracy, and high communication rate

Active Publication Date: 2022-07-05
SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These detection algorithms that require training have high detection accuracy, but the disadvantages are also obvious: this algorithm requires the user to collect EEG signals before use, and once the user's use environment changes, it needs to be retrained. Obviously it will cause inconvenience to users

Method used

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  • Detection method, system, medium and device for brain-computer interface based on EEG signal
  • Detection method, system, medium and device for brain-computer interface based on EEG signal
  • Detection method, system, medium and device for brain-computer interface based on EEG signal

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Embodiment 1

[0035] This embodiment provides a method for detecting a brain-computer interface based on an EEG signal, including:

[0036] Obtaining the original EEG signal; the original EEG signal is the signal generated by the user gazing at different frequencies to stimulate the target;

[0037] Performing the cyclic shift processing of the corresponding multiplication frequency of all the stimulation target frequencies on the original EEG signal to obtain the cyclically shifted signal;

[0038] Calculate the short-term autocorrelation function of the cyclically shifted signal under different frequency stimuli;

[0039] According to the short-term autocorrelation function, the frequency multiplier corresponding to the frequency that the user is watching is determined.

[0040] The method for detecting a brain-computer interface based on an EEG signal provided by this embodiment will be described in detail below with reference to the drawings. Before executing the method for detecting ...

Embodiment 2

[0070] This embodiment provides a brain-computer interface detection system based on EEG signals, including:

[0071] a signal acquisition module, used for acquiring original EEG signals; the original EEG signals are signals generated by the user gazing at different frequencies to stimulate the target;

[0072] a cyclic shift processing module, configured to perform cyclic shift processing on the original EEG signals corresponding to multipliers of all stimulation target frequencies to obtain cyclically shifted signals;

[0073] The calculation module is used to calculate the short-term autocorrelation function of the cyclically shifted signal under different frequency stimuli;

[0074] The determining module is used for determining the frequency multiplier corresponding to the frequency that the user is watching according to the short-term autocorrelation function.

[0075] The detection system of the brain-computer interface based on EEG signals according to this embodiment...

Embodiment 3

[0091] This embodiment provides a device, the device includes: a processor, a memory, a transceiver, a communication interface or / and a system bus; the memory and the communication interface are connected to the processor and the transceiver through the system bus and complete mutual communication, The memory is used to store the computer program, the communication interface is used to communicate with other devices, the processor and the transceiver are used to run the computer program, so that the device executes the various steps of the brain-computer interface detection method based on the EEG signal as described in the first embodiment . The apparatus can be connected to a collection device.

[0092] The system bus mentioned above may be a Peripheral Component Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA for short) bus or the like. The system bus can be divided into address bus, data bus, co...

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Abstract

The present invention provides a method, system, medium and device for detecting a brain-computer interface based on an EEG signal. The method for detecting a brain-computer interface based on an EEG signal includes: acquiring an original EEG signal; the original EEG signal It is the signal generated by the user staring at different frequencies to stimulate the target; the original EEG signal is subjected to the cyclic shift processing of the corresponding octave frequency of all the stimulation target frequencies to obtain the cyclically shifted signal; the different frequency stimulation is calculated The short-term autocorrelation function of the cyclically shifted signal; according to the short-term autocorrelation function, the frequency multiplication corresponding to the frequency that the user is watching is determined. The present invention effectively utilizes the periodicity of the SSVEP signal, utilizes the autocorrelation function to detect the period of the SSVEP signal, successfully realizes the blind detection of the SSVEP signal, and has higher short-term identification accuracy.

Description

technical field [0001] The invention belongs to the field of blind detection and calculation of brain-computer interfaces, and relates to a detection method and system, in particular to a brain-computer interface detection method, system, medium and equipment based on EEG signals. Background technique [0002] Brain-computer interface technology is a new type of human-computer interaction method that realizes the control of electronic devices such as computers and mobile phones by the human brain by translating the EEG signals transmitted from the scalp in real time. Brain-computer interface technology can be mainly divided into active brain-computer interface and passive brain-computer interface. The active brain-computer interface is represented by a motor imagery brain-computer interface. The user's brain imagines the action he wants the computer to complete, and then the computer analyzes the corresponding EEG signals collected, and then executes the analysis results. T...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06F3/01
CPCG06F3/015G06F2218/12
Inventor 赵曦王振宇张敏胡宏林周婷徐天衡朱正航
Owner SHANGHAI ADVANCED RES INST CHINESE ACADEMY OF SCI
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