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Medical knee joint rehabilitation nursing system and information processing method thereof

An information processing method and nursing system technology, which is applied in the field of medical knee joint rehabilitation nursing system and information processing, can solve the problems of not being able to provide knee joint motion assessment, affecting the knee joint rehabilitation effect, and X-ray image analysis, so as to improve the rehabilitation effect , The evaluation result is objective and the effect of good adaptability

Pending Publication Date: 2019-09-06
田昕
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] When the existing knee joint rehabilitation nursing system collects knee joint images, the image clarity is poor, which affects the observation; at the same time, it cannot provide knee joint motion evaluation, which affects the knee joint rehabilitation effect
[0005] Moreover, in the prior art, no deep learning technology is used to analyze X-ray images, and it cannot have good adaptability to various pictures, and the robustness is poor; the image clarity is poor

Method used

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  • Medical knee joint rehabilitation nursing system and information processing method thereof
  • Medical knee joint rehabilitation nursing system and information processing method thereof
  • Medical knee joint rehabilitation nursing system and information processing method thereof

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Experimental program
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Embodiment 1

[0073] Image enhancement module 4 enhancement methods provided by the present invention are as follows:

[0074] (1) Construct and train a deep neural network, and train to obtain the corresponding network model;

[0075] (2) Input the X-ray image data into the trained deep neural network to obtain the parameter matrix of the corresponding gain image;

[0076] (3) carry out data processing with the parameter matrix of the gained gain image and the original X-ray image;

[0077] (4) output the X-ray image after data processing;

[0078] Step (1) provided by the present invention constructs and trains deep neural network, and trains and obtains corresponding network model, concrete following steps:

[0079] Collect the original training image and the corresponding enhanced image;

[0080] Construct a deep network model, determine the number of layers, training methods, and training times of the model;

[0081] Send X-ray images into the network for training, and use supervis...

Embodiment 2

[0089] Evaluation module 7 evaluation methods provided by the present invention are as follows:

[0090] 1) Build an evaluation model, the evaluation model at least includes the first angle difference threshold for judging the motion angle difference, the second angle difference threshold and the front and rear displacement difference threshold ε for judging the front and rear displacement values, and according to each threshold The results of the assessment and grading;

[0091] 2) Synchronously collect a single set of three-dimensional six-degree-of-freedom motion data of the left knee joint and a single set of three-dimensional six-degree-of-freedom motion data of the right knee joint. Rotation angle and front and rear displacement values;

[0092] 3) Compare the three-dimensional six-degree-of-freedom motion data of the left and right knee joints, and calculate the differences between the two sets of data on flexion and extension angles, internal and external flip angles,...

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Abstract

The invention belongs to the technical field of knee joint rehabilitation nursing, and discloses a medical knee joint rehabilitation nursing system and an information processing method thereof. The method includes collecting knee joint image data by utilizing a medical X-ray perspective instrument; collecting knee joint movement frequencies, extensional curvature and muscle strength data information by utilizing a sensor; performing enhancement processing on the collected knee joint images by utilizing image processing software through an image enhancement module; setting knee joint rehabilitation movement time by utilizing a timer through a movement timing module; performing massage operation on knee joints after rehabilitation movement by utilizing a massager through a massage module; assessing knee joint rehabilitation according to the collected data by utilizing an assessment program through an assessment module; and displaying the collected knee joint images, knee joint movement related data and rehabilitation assessing results by utilizing a display through a display module. The system and method are more objective in assessing result, simple and convenient in operation, easyin repeated implementation and stable in result, so that knee joint rehabilitation effects can be enhanced.

Description

technical field [0001] The invention belongs to the technical field of knee joint rehabilitation nursing, and in particular relates to a medical knee joint rehabilitation nursing system and an information processing method. Background technique [0002] The knee joint is composed of the lower end of the femur, the upper end of the tibia, and the patella. It is the largest and most complex joint in the human body. Knee osteoarthritis is the most common musculoskeletal disease and the main cause of disability in middle-aged and elderly people. 85% of total knee replacements are due to Osteoarthritis of the knee. One of the common problems in total knee arthroplasty is the treatment of bone defects. Bone defects can occur in the tibia, femur, and patella, and are more common in tibial plateau bone defects. The incidence of distal femoral bone defects is lower than that of tibial bone defects. Distal bony defects can increase the flexion-extension gap of the knee joint, especia...

Claims

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Application Information

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IPC IPC(8): A61B6/00
CPCA61B6/505A61B6/5211
Inventor 田昕
Owner 田昕
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