Brain-computer interface signal analysis method, system, medium and equipment
A technology of brain-computer interface and analysis method, which is applied in the fields of diagnostic signal processing, computer components, medical science, etc. It can solve the problems of difficult detection of stimulus targets, achieve the effect of increasing modulation dimension, high communication rate, and improving resolution ability
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Embodiment 1
[0032] This embodiment provides a method for analyzing brain-computer interface signals, including:
[0033] Acquire several stimulation targets, and collect corresponding EEG signals according to the stimulation targets; wherein, the several stimulation targets have different shapes and have different stimulation frequencies and / or stimulation phases;
[0034] Performing one-to-one discriminant analysis of characteristic coefficients on the EEG signal and several prestored expected signals to obtain a discriminant analysis result, the discriminant analysis result including a frequency characteristic coefficient and a spatial intensity distribution coefficient;
[0035] Comparing the spatial intensity distribution coefficient with several pre-stored training data to obtain a spatial characteristic probability coefficient based on the training data corresponding to the spatial intensity distribution coefficient under the same stimulation target;
[0036] Weighting is performed ...
Embodiment 2
[0080] The present invention provides an analysis system of a brain-computer interface signal, and the analysis system of the brain-computer interface signal includes:
[0081] A signal acquisition module, configured to acquire several stimulation targets, and collect corresponding EEG signals according to the stimulation targets; wherein, several of the stimulation targets have different shapes and have different stimulation frequencies and / or stimulation phases;
[0082] The discriminant analysis module is used to perform one-to-one discriminant analysis of the characteristic coefficients of the EEG signal and several prestored expected signals to obtain a discriminant analysis result, and the discriminant result includes a frequency characteristic coefficient and a spatial intensity distribution coefficient;
[0083] A probability analysis module, configured to compare the spatial intensity distribution coefficient with several pre-stored training data to obtain a spatial ch...
Embodiment 3
[0101] This embodiment provides a device, including: 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, and the memory is used for The computer program is stored, 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 steps of the brain-computer interface signal analysis method described in Embodiment 1.
[0102] The system bus mentioned above may be a Peripheral Component Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (EISA for short) bus or the like. The system bus can be divided into address bus, data bus, control bus and so on. The communication interface is used to realize the communication between the database access device and other devic...
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