Brain-computer interface wireless connection device

Abstract

The invention discloses a brain-computer interface wireless connection device. The device adopts a wireless communication technology to achieve data communication between a main control board of a brain-computer interface and a controlled device which included a vital sign device, a sensor and a driving device, and the defects that traditional communication modes are poor in safety of signal acquisition and exchanging and debugging and maintenance costs are high are effectively solved; overall performance and reliability are improved, and the device has obvious economic and social benefits.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a wireless connection device for brain-computer interface. Background technique [0002] With the rapid development of brain-computer interface technology, the shortcomings of traditional communication methods, such as poor security of signal acquisition and exchange, and high debugging and maintenance costs, limit the large-scale application of brain-computer interface. 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 n...

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 has been able to 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 brain-computer interface signals. At present, there are not many research and application results in this area.

Images