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Intelligent wheelchair based on multimode brain-machine interface

A brain-computer interface, multi-modal technology, applied in the patient's chair or special transportation means, user/computer interaction input/output, computer parts and other directions, can solve the problem of low practicability, inability to accelerate, decelerate and start , stop, visual fatigue and other problems, to achieve the effect of improving system information transmission rate, meeting real-time requirements, and increasing practical performance

Inactive Publication Date: 2012-01-11
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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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  • Intelligent wheelchair based on multimode brain-machine interface
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  • Intelligent wheelchair based on multimode brain-machine interface

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Embodiment

[0021] like figure 1 As shown, the intelligent wheelchair of the modal brain-computer interface includes a sequentially connected visual stimulation interface, an EEG acquisition platform, a multi-modal brain-computer interface, a control module, and an electric wheelchair. The subject wore a 32-lead electrode cap and sat on the seat of an electric wheelchair. The portable EEG acquisition instrument was placed in the wheelchair's back bag, and the vehicle-mounted notebook was placed on the wheelchair table. The visual stimulation interface was provided by the LCD screen of the vehicle-mounted notebook. The processing algorithm of the modal brain-computer interface module is provided by the vehicle-mounted notebook programming, and the communication unit and controller of the control module are fixed at the armrest of the wheelchair.

[0022] like figure 2 As shown, there are 5 P300 flashing keys in the visual stimulation interface, and the subjects can generate EEG signals b...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61G5/04G06F3/01
Inventor 李远清王洪涛
Owner SOUTH CHINA UNIV OF TECH
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