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Active and passive training mode control system and method for rehabilitation robot based on electroencephalography

A rehabilitation robot and passive training technology, applied in muscle training equipment, passive exercise equipment, sports accessories, etc., can solve the problems of not being able to fully mobilize the patient's training initiative and the patient's control of the training speed of the rehabilitation robot, so as to improve enthusiasm and initiative Sexuality, prevent fatigue, and improve efficiency

Inactive Publication Date: 2019-04-05
SOUTHEAST UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the existing EEG-based rehabilitation training robots cannot use the patient's EEG information to directly control the training speed of the rehabilitation robot, and cannot fully mobilize the patient's training initiative

Method used

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  • Active and passive training mode control system and method for rehabilitation robot based on electroencephalography
  • Active and passive training mode control system and method for rehabilitation robot based on electroencephalography
  • Active and passive training mode control system and method for rehabilitation robot based on electroencephalography

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Embodiment Construction

[0050]This embodiment provides an active and passive training mode control system for rehabilitation robots based on EEG, such as figure 1 shown, including:

[0051] The imagination guidance module is used to play user-oriented motor imagination guidance audio and video, and induces the user to generate motor imagination EEG signals;

[0052] The signal acquisition module is used to collect motor imagery EEG signals generated by the user during audio and video playback, and perform preprocessing;

[0053] The signal processing module is used to decompose the signal output by the signal acquisition module into multi-layer wavelet, extract the wavelet coefficient of the preset frequency band signal, calculate the mean value, energy mean value and mean square error of the wavelet coefficient of the frequency band respectively, and use the linear discriminant classification algorithm ( Linear Discriminant Analysis, LDA) calculates the eigenvalue α in each imagination process of t...

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Abstract

The invention discloses an active and passive training mode control system and method for a rehabilitation robot based on electroencephalography. The system comprises an imagination guiding module, configured to play motion imagination guiding audio and video, a signal acquisition module, configured to acquire motion imagination electroencephalography signals generated when a user plays the audioand video, and pre-process the motion imagination electroencephalography signals, a signal processing module, configured to perform multilayer wavelet decomposition on the pre-processed signals, extract wavelet coefficients of signals of a preset frequency band, calculate a mean, an energy mean and a mean square error of the wavelet coefficients of the frequency band respectively, and calculate acharacteristic value alpha of the user in each imagination by using a linear discriminant classification algorithm, and a rehabilitation robot control module, configured to control the rehabilitationrobot to enter a passive training mode when the alpha is smaller than a threshold to train according to a preset angular velocity, or control the rehabilitation robot to enter an active training modewhen the alpha is greater than the threshold, and adjust the angular velocity of mechanical arms according to the alpha. By using the system and the method, the user can freely switch the active training mode and the passive training mode during the rehabilitation training.

Description

technical field [0001] The invention relates to robot control, in particular to an active and passive training mode control system and method for a rehabilitation robot based on brain electricity. Background technique [0002] In recent years, with the continuous improvement of China's economic level, people have higher and higher requirements for the services of the medical industry, and more and more patients need rehabilitation training. For example, for some patients with stroke and hemiplegia, in addition to early In addition to surgical treatment and drug treatment, it is particularly important to carry out correct and scientific rehabilitation training for the recovery of limb movement ability. However, the rehabilitation robots currently on the market have a single function and cannot fully tap the initiative of the human body to perform rehabilitation exercises. The introduction of Brain-Computer Interface (BCI) technology can solve the above problems well. Brain-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A63B23/12A63B21/00A63B71/06A61H1/02
CPCA61H1/0274A61H2201/1207A61H2201/1638A61H2205/06A61H2230/105A63B21/00178A63B23/12A63B71/0622A63B2230/105
Inventor 徐宝国李文龙张大林魏智唯宋爱国赵国普李会军曾洪
Owner SOUTHEAST UNIV
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