Hybrid brain-computer interface based on asynchronous parallel induction strategy
A computer interface and asynchronous technology, applied in the field of brain-computer interface, can solve the problems of difficult information transmission efficiency, insufficient mining, and long blocking time, so as to improve the classification accuracy rate and information transmission rate, and increase the available information Features, the effect of stabilizing EEG characteristic signals
Inactive Publication Date: 2016-08-10
TIANJIN UNIV
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Problems solved by technology
However, due to problems such as synchronous blocking and long blocking time, the efficiency of information transmission is still difficult to achieve.
The reason for the analysis is that the system has not yet fully utilized the advantages of multiple EEG-induced combination paradigms, and has not yet fully tapped its inherent potential to increase the rate of information transmission.
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[0020] A mixed-paradigm brain-computer interface (SP-BCI) system that combines steady-state visual evoked potential (SSVEP) with the P300 component of event-related potential can simultaneously induce two characteristic EEG signals and integrate the former's high signal-to-noise ratio and asynchronous compatibility The characteristics and the latter's large instruction set advantage have the potential ability to improve the system information transmission rate. The present invention designs a new strategy in which SSVEP is asynchronously induced and blocked (induces SSVEP-B features) according to their respective frequencies and induced in parallel with P300, and then fuses SSVEP, SSVEP-B and P300 feature information for EEG classification and recognition. The off-line test results show that this strategy is helpful to improve the accuracy of BCI information recognition and information transmission rate, and the relevant research ideas and technologies can be used as a referenc...
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The present invention relates to the technical field of brain-computer interface. In order to induce more stable EEG characteristic signals and obtain a perfect brain-computer interface system, the technical solution adopted in the present invention is a mixed paradigm brain-computer interface based on an asynchronous parallel induction strategy , use the field programmable gate array FPGA to generate signals to control the LED flashing stimulation module to generate visual stimulation, collect the EEG signals of the subjects, amplify them through the EEG amplifier, and combine the signals generated by the FPGA, and transmit them to the computer through USB for EEG Classification recognition, wherein, FPGA controls several LED flickering stimulation modules, and the signal generated by FPGA is SSVEP signal, and SSVEP signal makes each flickering stimulation module asynchronously induce SSVEP‑B characteristics and blocking according to their respective frequencies, and induces them in parallel with P300, and fuses them on the computer , EEG classification recognition. The invention is mainly applied to the design and manufacture of brain-computer interface equipment.
Description
technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular, to a mixed paradigm brain-computer interface based on asynchronous parallel induction strategy. Background technique [0002] Brain-Computer Interface (BCI), referred to as Brain-Computer Interface, refers to a new technology that the brain does not rely on conventional output means such as peripheral nerves and skeletal muscles, but only relies on brain thinking information to control external devices through computers. The emergence of BCI technology not only provides a new way for the brain to communicate and control external information, but also provides a new way for people with physical disabilities or damaged speech systems to communicate with the outside world. BCI requires that the system can effectively induce users' willingness to exchange information and control externally, accurately detect their thinking information and convert it into releva...
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CPCG06F3/015
Inventor 肖晓琳綦宏志许敏鹏汤佳贝明东
Owner TIANJIN UNIV