Brain-computer interface communication device

Abstract

The invention discloses a brain-computer interface communication device. According to the brain-computer interface communication device, the whole performance and the reliability are improved, and theproblems that a collected and detected electroencephalogram signal is very weak and is inevitably blended with various noises, the signal to noise ratio of the data is relatively low, and therefore,the signal communication needs to be realized by virtue of a reliable technique are solved. The brain-computer interface communication device comprises a brain module, a receiving module and a brain-computer connector.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a brain-computer interface communication device. Background technique [0002] In the definition of BCI, brain refers to the brain or nervous system of an organic life form, and machine refers to any processing or computing device, which can be in the form of a simple circuit to a silicon chip. Among them, the invasive brain-computer interface is mainly used to reconstruct special senses (such as vision) and motor functions of paralyzed patients. Such brain-computer interfaces are usually implanted directly into the gray matter of the brain, so the quality of the neural signals obtained is relatively high. But its disadvantage is that it is easy to trigger immune response and callus, which will lead to the decline or even disappearance of signal quality. Partially invasive BCIs are typically implanted in the cranial cavity, but outside the gray matter. ...

AI Technical Summary

Problems solved by technology

Although this non-invasive device is convenient to wear on the human body, the resolution of the recorded signal is not high due to the attenuation effect of the skull on the signal and the dispersion and blurring effect on the electromagnetic waves emitted by the neurons.

The signal wave can still be detected, but it is difficult to pinpoint the brain region that emits the signal or the firing of individual neurons involved

At present, there are still many difficulties in signal acquisition and communication technology in the field of brain-computer interface. Although the use of advanced signal acquisition equipment can detect very weak EEG signals, the EEG signals are inevitably mixed with various noises, making The signal-to-noise ratio of the data is low, and reliable technology is required to realize the communication of the signal. At present, there are not many research and application results in this area.

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