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Real-time monitoring video induction-based motor imagery BCI system

A motor imaging and real-time monitoring technology, applied in CCTV systems, components of TV systems, components of color TVs, etc., can solve the problems of restricting the development and application of motor imaging BCI, achieve good rehabilitation effect and reduce fatigue , the effect of speeding up the recovery effect

Inactive Publication Date: 2017-02-15
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

All the above-mentioned shortcomings have become the bottleneck restricting the development and application of motor imagery BCI

Method used

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  • Real-time monitoring video induction-based motor imagery BCI system
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  • Real-time monitoring video induction-based motor imagery BCI system

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Embodiment Construction

[0036] The design includes EEG acquisition equipment such as EEG acquisition cap and EEG amplifier, real-time monitoring video induction platform and computer off-line data processing module and other parts. In the experiment, the 64-lead EEG acquisition system produced by Neuroscan was used to collect EEG. During the imaginative action experiment, the subjects were required to sit quietly on a chair about 1m away from the computer monitor that displayed the video. The experiments were divided into two categories The experiment was carried out, that is, the control group without video stimulation and the experimental group with video stimulation. The two types of experimental environments and experimental procedures are the same, the only difference is that in the video-induced experimental group, the subjects performed motor imagery while watching the video, while in the no-video-induced control group, the subjects only performed pure leg-raising motor imagery . The comparis...

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Abstract

The invention discloses a real-time monitoring video induction-based motor imagery BCI (Brain-Computer Interface) system. A set of motor imagery experimental paradigm induced by a real-time monitoring video is designed, the realization is simple, and the operation is easy; when a person with limb movement disorder performs imagery motor rehabilitation training by applying the system, the person can see a rehabilitation state of the limb with the movement disorder in real time conveniently, so that the positivity and activeness of the examinee in participating in the rehabilitation training can be greatly improved and the recovery of original injured neural pathways can be accelerated; the induction of the real-time monitoring video is added, so that the visual motor imagery effect of the examinee is enhanced, the experimental immersion of the examinee is improved, the fatigue of the examinee is relieved, and a motor imagery electroencephalogram signal with relatively high information source quality can be induced; and a control group experiment, namely, a pure visual motor imagery electroencephalogram experiment without induction of real-time video monitoring is introduced, and ERD (event-related desynchronization) characteristics of motor imagery electroencephalogram signals acquired by a new paradigm experiment and the control group experiment are compared, so that the correctness of a conclusion is verified.

Description

technical field [0001] The invention designs a motor imagination experiment paradigm based on real-time monitoring video induction, and belongs to the technical field of brain-computer interface (Brain-Computer Interface, BCI). The technical process is: design new paradigm experiments and comparative experiments, build the EEG signal acquisition device required for the experiment, and then under the guidance of the experimental system, collect the EEG signal data of the subjects, store it and then carry out certain procedures. Preprocessing, feature extraction, and then compare the EEG characteristics of the experimental data of the new paradigm experiment with the experimental data of the control group, and analyze their differences and significance. Background technique [0002] At present, there are mainly four types of BCI based on EEG signals: steady-state visual evoked potential (SSVEP) BCI, event-related P300 evoked potential BCI, imagined action BCI, and slow cortica...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06F3/14H04N5/225H04N5/265H04N7/18
CPCH04N5/265H04N7/183G06F3/011G06F3/015G06F3/14H04N23/54
Inventor 李鹏海方振东宋延娟王丽余刘瀛涛白鑫宇浦文慧
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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