Intelligent wheelchair based on multimode brain-machine interface

Abstract

The invention discloses an intelligent wheelchair based on a multimode brain-machine interface, comprising a visual stimulus interface, a brain-electrical acquisition platform, the multimode brain-machine interface, a control module and an electric wheelchair which are connected in sequence, wherein a subject expresses control intention by watching the visual stimulus interface and active movement imagery; after finishing acquisition, amplification, filtering and digitalization of brain-electrical signals, the brain-electrical acquisition platform transmits the brain-electrical signals to the multimode brain-machine interface, then preprocessing, characteristic extraction and classification are carried out on real-time brain-electrical signals, the control intention of the subject is converted into an instruction which is sent to a communication unit of the control module, and the wheelchair is controlled by a controller, so that the seven types of movement such as starting, stopping, backward movement, leftward rotation, rightward rotation, acceleration and speed reduction of the wheelchair are realized. The intelligent wheelchair can help the patients with severe paralysis to expand new information output channels for the brain, provides a new idea for the study and the practice on multiple degree of freedom of the brain-machine interface, and has various values in the aspects such as medical rehabilitation, experiment on medical physiology and the like.

Description

technical field [0001] The invention relates to the field of brain-computer interface application research and artificial intelligence, in particular to a multi-modal brain-computer interface intelligent wheelchair. Background technique [0002] The concept of Brain-Computer Interface (BCI) began in 1973. It is a direct connection path established between the human or animal brain and external devices. Since the 1970s, with the development of neuroscience and computer technology, brain-computer interface has made great progress. At present, according to the different ways of obtaining brain signals, brain-computer interfaces can be divided into invasive and non-invasive. Implanting electrodes directly into the brain case is called invasive BCI; obtaining signals from the scalp is called non-invasive BCI. Electroencephalography (Electro-encephalography, EEG) is a macroscopic phenomenon produced by the discharge of brain cell groups. When the brain is active, specific EEG sig...

AI Technical Summary

Problems solved by technology

Steady-state visual evoking has been paid more and more attention due to its advantages of fast recognition speed and high accuracy, but it has the disadvantage of easily causing visual fatigue

[0007] At present, the research on the application of BCI in neurological assistance and rehabilitation of the disabled is still in its infancy. At present, the research on a single brain-computer interface is relatively common and relatively mature. Multiple control commands and quick recognition of control intentions, such as real-time, multi-degree-of-freedom control requirements for wheelchairs

Switzerland Josédel R. Millán et al. used the motor imagery brain-computer interface to successfully extract two instructions from event-related synchronization / desynchronization (RED / RES) and apply them to the left and right control of the wheelchair. The system adopts an asynchronous control mode, and the average information transmission rate of the system is It is: 30bits / min, but because the system uses a single-mode brain-computer interface, it cannot provide multiple degrees of freedom control signals, cannot accelerate, decelerate, start, and stop, and the system is not very practical

Patent CN200810053558 discloses an intelligent wheelchair control system based on brain-computer interface and its EEG signal processing method. A set of wheelchair control system based on α-wave brain-computer interface is designed by using the α-wave blocking phenomenon. , right four direction movement control, but because the wheelchair uses a single-mode brain-computer interface, it is difficult to provide multiple control signals, and cannot realize the acceleration, deceleration and backward functions

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