Lower limb venous thrombosis edema management system based on machine learning

A venous thrombosis and management system technology, applied in sensors, physical therapy, medical science, etc., can solve the problem of inability to know the patient's leg edema nursing recovery degree, inability to effectively identify the patient's edema type, and inability to obtain the patient's leg edema. Partial swelling data and other problems to achieve the effect of speeding up recovery and enhancing nursing effect

Inactive Publication Date: 2022-06-07
THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The lower extremity edema mainly occurs in the calf of the patient. The common clinical lower extremity edema is venous thromboedema of the lower extremities, as well as lymphedema. Lymphedema and venous thromboedema can both cause swelling of the patient's lower extremities. Medical staff will care for patients with lower extremity edema to improve patient During the nursing treatment process, the medical staff mainly judge the patient's nursing stage by observing the swelling degree of the patient's legs from the outside. During the nursing process, the patient's edema may change...

Method used

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  • Lower limb venous thrombosis edema management system based on machine learning
  • Lower limb venous thrombosis edema management system based on machine learning
  • Lower limb venous thrombosis edema management system based on machine learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022]The two leg support modules 1 distributed one after the other can play the role of supporting the patient's calf. The leg support module 1 is composed of an arc-shaped calf support plate 11, a restraint strap 12 and a bottom support block 13. The bottom support block 13 is mounted on the bottom of the arc-shaped calf support plate 11 by means of screw connection. The bottom support block 13 plays the role of supporting the arc-shaped calf support plate 11. The bottom support block 13 can be placed on the hospital bed, so as to integrate the device as a whole. It is placed on the hospital bed for the patient to use. The patient's calf is placed on the two curved calf support plates 11 to complete the supporting work of the patient's calf. The height of the bottom support block 13 located in the front is greater than that of the bottom support block located in the rear. The height of 13, so the cooperation of the two leg support modules 1 can lift the patient's calf up, and...

Embodiment 2

[0026] In this example, the same parts as those in Example 1 will not be repeated, and the difference is that the different swollen areas of the lower extremity edema of the patient are cared for, and the data is collected for reference, and appropriate nursing methods are carried out for the swollen parts where the type of edema has changed. changes and changes in the intensity of care.

[0027] The acupressure relief module 4 is also installed between the two connecting plates 21. The acupressure relief module 4 is composed of a driving unit 41, an acupressure head 42, a rolling head 43, a ball head seat 44 and a connecting ball head 45. The driving unit 41 It is fixedly connected between the two connecting plates 21, the ball head seat 44 is fixedly connected to the output end of the drive unit 41, and the bottom center position of the acupressure head 42 is fixedly connected with a connecting ball head 45, and the connecting ball head 45 is rotatably connected to the ball. ...

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Abstract

The invention discloses a machine learning-based lower limb venous thrombosis edema management system, which comprises a leg supporting module, a middle connecting module, an edema state monitoring module and a finger pressure relieving module, and is characterized in that the leg supporting module comprises an arc-shaped shank supporting plate, a binding bandage and a bottom supporting block; the arc-shaped shank supporting plate supports the shank part of the patient from the lower portion of the shank of the patient, the binding bandage surrounds the shank part of the patient and tightens and binds the shank part of the patient, and the two leg supporting modules support the shank of the patient for nursing; the plurality of edema state monitoring modules can collect edema state data of different monitoring areas of the shank part of a patient and upload the data to an external control end to provide data reference for medical staff, so that the medical staff can select a proper nursing mode before nursing; in the nursing process, medical staff can effectively distinguish whether the edema type of the patient is changed or not, and therefore the medical staff can change the nursing mode of the patient with the edema of the lower limbs in time.

Description

technical field [0001] The invention relates to the technical field of lower extremity edema patient management, in particular to a lower extremity venous thromboembolic edema management system based on machine learning. Background technique [0002] Lower extremity edema mainly occurs in the lower extremity of the patient. Clinically common lower extremity edema includes venous thromboedema of the lower extremity, as well as lymphedema. Both lymphedema and venous thromboembolic edema can cause swelling of the patient's lower extremity. During the nursing and treatment process, the medical staff mainly judge the nursing stage of the patient by observing the degree of swelling of the patient’s legs from the outside. During the nursing process, the edema of the patient may change, and the patient can only feel the swelling and pain of the lower limbs. , the medical staff only observe the swelling degree of the patient's leg from the outside, and cannot obtain the data of the s...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61H7/00A61H15/00A61G7/075A61F5/37
CPCA61B5/4878A61H7/007A61H15/0078A61G7/0755A61F5/3776A61H2205/10A61H2015/0021A61H2201/5071
Inventor 陈宁恒伦冰张闯吴世勇王保恒韩达郭学利
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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