Steady-state evoked potential brain-computer interface method based on motion turning vision sensing

Abstract

A steady-state evoked potential brain-computer interface method based on motion turning vision sensing comprises the steps of arranging an electrode on the head of a user, measuring brain electric signals and sending the measured brain electric signals to a computer, then simultaneously showing newton ring motion stimulating units to the user by a computer screen, in the stimulation showing process, contracting and expanding the newton ring motion stimulating units according to a sine modulation mode so as to form periodical reciprocating motion in two directions, after the newton ring motion stimulating units are formed, enabling the user to stare any one of the newton ring motion stimulating units, synchronously acquiring a stimulating start position and a stimulating end position by the computer, acquiring the brain electric signals by a test electrode, calculating a stimulating target with the maximum related coefficient, judging and indicating the target through the screen, and then executing the next target recognizing task. The steady-state evoked potential brain-computer interface method has the characteristics of low flickering rate and low adaptability, can not result in visual fatigue of the user and the reduction of brain response signals, and is suitable for occasions needing brain-computer interaction for a long time.

Description

technical field [0001] The invention relates to the technical fields of neuroengineering and brain-computer interface in biomedical engineering, in particular to a steady-state evoked potential brain-computer interface method based on motion reversal visual perception. Background technique [0002] Brain-computer interface is the abbreviation of human brain-computer interface. As an important information carrier of brain-computer interface, visual homeostasis evoked potential signal has the advantages of P300, event-related synchronization / desynchronization, spontaneous EEG signal, etc. Strong anti-interference ability, high information transmission rate, and the characteristics that all users can induce strong signals without training, so it is the most practical type of signal in all brain-computer interface systems. But the disadvantage is that the visual homeostasis evoked potential relies on the visual stimulation generated by light flicker to induce, which requires a s...

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Problems solved by technology

But the disadvantage is that the visual homeostasis evoked potential relies on the visual stimulation generated by light flicker to induce, which requires a strong light intensity, which is likely to cause discomfort to the user; especially at a lower stimulation frequency, the light flicker cycle is longer, The brightness of the stimulation unit changes significantly in a single cycle, which is more likely to cause visual fatigue of the user and reduce the response signal of the user's brain. It is not suitable for long-term use of brain-computer interaction occasions.

In the field of brain-computer interaction, the Chinese patent "Human-computer interaction method based on visual movement-related neural signals" (200910076207.6) is the first to use the transient N2 potential corresponding to the start of visual movement to realize the brain-computer interface paradigm based on motion perception, but The paradigm adopted is the transient paradigm. In a single-round experiment, the multi-stimulus units move in one direction in chronological order, the stimulus presentation time is longer, and the stimulation efficiency is lower; when the target is discriminated, the results of multiple rounds of experiments need to be coherently averaged. Improve the signal-to-noise ratio, and the discrimination time is longer

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