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Virtual scene parameter self-adaption method for restraining upper limb shoulder and elbow rehabilitation compensation

A virtual scene, adaptive technology, applied in the field of artificial intelligence, can solve the problem of lack of adaptive intelligent guidance of patients' upper limb health coordination mode, and achieve the effect of inhibiting motion compensation

Inactive Publication Date: 2021-04-09
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The solutions currently on the market choose to combine virtual reality technology on the basis of upper limb rehabilitation robots to improve the patient's adhesion and training effect to rehabilitation training, and most of the design schemes are still relatively solid rehabilitation training models, lacking Self-adaptive intelligent guidance for patient's upper limb health collaborative model

Method used

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  • Virtual scene parameter self-adaption method for restraining upper limb shoulder and elbow rehabilitation compensation
  • Virtual scene parameter self-adaption method for restraining upper limb shoulder and elbow rehabilitation compensation
  • Virtual scene parameter self-adaption method for restraining upper limb shoulder and elbow rehabilitation compensation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Embodiment 1: the adaptive adjustment method and realization of suppressing compensatory motion in single-joint training, comprise the following steps:

[0079] Such as figure 2 As shown, the virtual curve 1 plans the motion trajectory and guides the patient's limb end to reach the target position 1, and the patient's elbow joint 3 needs to be kept straight during this process;

[0080] At this point, the construction of the virtual obstacle rod 5, the motion trajectory 6 and the target object 7 is completed, and the patient is guided to maintain the flexion position of the shoulder joint, and the end of the affected limb is touched by the target object after driving the elbow joint to bend the target angle 8;

[0081] After the virtual character and the target object complete the interactive collision, the object is transferred to the target position 1. Guide the patient to stretch the elbow joint and touch the target object again, so as to complete the repetitive reh...

Embodiment 2

[0086] Embodiment 2: The adaptive adjustment method and realization of suppressing compensatory motion in the linkage training of upper limb joints, comprising the following steps:

[0087] Such as image 3 As shown, in the virtual scene, the target object 10 randomly appears on the semicircular trajectory of the affected side with the patient's affected shoulder as the center of the circle, and the patient needs to touch the target object as soon as possible within the specified time limit;

[0088] Real-time monitoring of the shoulder inclination angle 11 between the shoulder vector and the sagittal plane normal vector and the body bending angle 12 between the spine vector and the cross-sectional normal vector;

[0089] If the detected shoulder inclination angle 11 and body bending angle 12 are both zero, it indicates that the patient does not currently have any form of compensatory movement, the virtual target 10 is always green, and the target disappears and appears in the...

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Abstract

The invention relates to a virtual scene parameter self-adaption method for restraining upper limb shoulder and elbow rehabilitation compensation, and belongs to the field of artificial intelligence. The virtual scene parameter self-adaption method comprises the following steps of: collecting skeleton data of a patient through a visual capture sensor, matching the data with a model to realize that a somatosensory drive control role model participates in virtual rehabilitation training, and completing designed rehabilitation training actions by the patient according to target and trajectory guidance, visual feedback and the like in a virtual scene; collecting upper limb movement data of the patient through an inertial sensor, performing analyzing and calculating to obtain shoulder and elbow joint angles, a spinal column inclination angle and the like, monitoring and judging a compensation movement condition of the patient according to angle parameters, and further adaptively adjusting scene parameters to map in a virtual scene rehabilitation training process; and extracting time domain and frequency domain features, and inputting the time domain and frequency domain features into a support vector machine together with related motion feature parameters, so that the motion function of the patient is evaluated. By means of the method, effective restraining of compensation movement in the movement function rehabilitation training process is finally achieved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and relates to a virtual scene parameter self-adaptive method for suppressing upper limb shoulder and elbow rehabilitation compensation. Background technique [0002] Early intervention in early rehabilitation training for stroke patients can not only reduce the loss of neurological function and reduce the occurrence of complications, but also rebuild motor function and improve the basic ability of daily life. Traditional rehabilitation training is mainly based on physical therapy and exercise therapy, and its training often requires the presence of professional therapists to guide and provide correct manipulation. The therapist can only guide a single patient at the same time, and the current resources of rehabilitation therapists are quite scarce, so the traditional training method is inefficient, long-term and monotonous, and the cost of treatment is high. Not only that, the reason for t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/107A61B5/11A61B5/00G06F3/01G06K9/62
CPCA61B5/1071A61B5/1121A61B5/1116A61B5/7267A61B5/4576A61B5/458A61B5/459A61B5/4566G06F3/011A61B2562/0219G06F18/2411
Inventor 肖博文吴小鹰侯文生陈琳呼林涛王星
Owner CHONGQING UNIV