Intelligent training system and method for upper limb rehabilitation robot based on machine learning

A rehabilitation robot and machine learning technology, applied in the field of upper limb rehabilitation, can solve the problems of ignoring the physiological and psychological state factors of patients, the low efficiency of robot-assisted rehabilitation training, and the inability to provide personalized training prescriptions, so as to improve the efficiency of rehabilitation training and improve the input state Effect

Pending Publication Date: 2020-03-27
TSINGHUA UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, the previous research on robot-assisted rehabilitation technology focused on robotic equipment, and it was still in the training method of simulating rehabilitation physicians in terms of force and movement, ignoring the patient's own physi

Method used

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  • Intelligent training system and method for upper limb rehabilitation robot based on machine learning
  • Intelligent training system and method for upper limb rehabilitation robot based on machine learning
  • Intelligent training system and method for upper limb rehabilitation robot based on machine learning

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Embodiment Construction

[0031] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0032] The following describes the intelligent training system and method for upper limb rehabilitation robots based on machine learning according to the embodiments of the present invention with reference to the accompanying drawings. First, the intelligent training system for upper limb rehabilitation robots based on machine learning according to the embodiments of the present invention will be described with reference to the accompanying drawings.

[0033] figure 1It is a structural schematic diagram of an intelligent training...

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Abstract

The invention discloses an intelligent training system and method for an upper limb rehabilitation robot based on machine learning, and the system comprises a robot auxiliary subsystem which is used for assisting a patient to complete a rehabilitation training action through an upper limb rehabilitation robot when the patient is not enough to complete a rehabilitation training task; an input statemonitoring subsystem which is used for monitoring the input degree of the patient during training through the upper limb rehabilitation robot, the myoelectricity acquisition equipment and the electroencephalogram acquisition equipment when the upper limb rehabilitation robot assists the patient; an intelligent learning subsystem which is used for learning the influence of a previously applied stimulation test on the input degree according to the input degree of the current moment so as to recommend a personalized stimulation scheme suitable for the patient at the next moment and change a rehabilitation training mode; an input state improving subsystem which is used for detecting whether the input degree of the patient is reduced or not, and intervening the next training process if the input degree is reduced. According to the invention, the system can provide an intelligent training prescription and mobilize a patient according to the condition of the patient to ensure the input stateduring training.

Description

technical field [0001] The invention relates to the technical field of upper limb rehabilitation, in particular to an intelligent training system and method for an upper limb rehabilitation robot based on machine learning. Background technique [0002] With the intensification of the aging phenomenon, the number of patients with stroke and other cerebrovascular diseases in the world increases by tens of millions every year. Stroke is considered to be the second leading cause of death and the leading cause of disability in the world. Most of the damage to the nervous system caused by stroke is permanent, but the nervous system has plasticity and redundancy. Timely treatment and rehabilitation training after hemiplegia can effectively reduce the damage or even avoid disability, and significantly improve the daily life ability of patients , and long-term rehabilitation is particularly important for the recovery of motor function. Rehabilitation robots have a development histor...

Claims

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Application Information

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IPC IPC(8): G16H20/30G16H50/20B25J11/00
CPCG16H20/30G16H50/20B25J11/009
Inventor 季林红李翀钱超贾天宇
Owner TSINGHUA UNIV
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