Steady state visual evoked potential brain-computer interface signal identification method

Abstract

The invention discloses a steady state visual evoked potential brain-computer interface signal identification method, which comprises the following steps of: (1) simultaneously displaying a plurality of different pictures with different flicker frequencies through a visual stimulation unit and acquiring electroencephalogram signals of a testee who stares at the visual stimulation unit; (2) carrying out noise estimation and noise suppression on the electroencephalogram signals by a data processing unit, and then carrying out characteristic extraction and judgment on the processed electroencephalogram signals to primarily determine the picture at which the testee stares; and (3) upsetting the flicker frequencies of the displayed pictures, acquiring the electroencephalogram signals, then carrying out noise estimation and noise suppression on the currently acquired electroencephalogram signals, then carrying out characteristic extraction and judgment on the processed electroencephalogram signals to determine the picture at which the testee stares, if the currently determined picture is the same as the picture determined in the step 2, taking the picture as finally determined identification information to output, and if not, judging that the testee does not stare at any picture displayed by the visual stimulation unit. According to the steady state visual evoked potential brain-computer interface signal identification method, the electroencephalogram signal identification accuracy can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of neural engineering, and in particular relates to a steady-state visual evoked potential and a brain-computer interface signal recognition method. Background technique [0002] Brain-Computer Interface (BCI) is a system that realizes direct communication and control between the brain and computers or other devices based on EEG signals. The brain-computer interface can directly convert the information sent by the brain into commands that can drive external devices, and can replace human limbs to realize the communication between human and the external world and the control of the external environment. The brain-computer interface system has opened up a new way for the human brain to communicate and control information with the outside world, making it possible to use human brain signals to directly control external devices. [0003] Currently, there are two types of brain-computer interface systems: invasi...

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Problems solved by technology

[0005] The brain-computer interface system with steady-state visual evoked potential as the input signal has the advantages of high information transmission rate, short training time, and easy feature extraction. However, due to the instability of EEG signals and the interference of EMG signals, There are often some errors in the classification

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