Orthopedic rehabilitation detection method based on big data

An orthopaedic rehabilitation detection and big data technology, which is applied in the fields of radiological diagnosis instruments, medical science, blood flow measurement, etc. Efficiency of detection and improvement of treatment effect

Inactive Publication Date: 2018-08-17
CHONGQING THREE GORGES UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the traditional orthopedic examination can only judge the recovery of the patient by observing the bone healing on the film, and cannot analyze the blood condition, resulting in the failure to fully reflect the patient's condition , so that the condition worsens and the best treatment opportunity is missed; at the same time, the data analysis speed is slow, which affects the detection efficiency

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  • Orthopedic rehabilitation detection method based on big data
  • Orthopedic rehabilitation detection method based on big data
  • Orthopedic rehabilitation detection method based on big data

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] The application principle of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0038] Such as figure 1 As shown, a kind of orthopedic rehabilitation detection method based on big data provided by the present invention comprises the following steps:

[0039] Step S101, supplying power to the detection equipment through the power supply module;

[0040] Step S102, performing fluoroscopy on the bones through the fluoroscopy module; detecting the patient's blood through the blood detection module; scanning the conditions of various parts of t...

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Abstract

The invention belongs to the technical field of orthopedic medical treatment, and discloses an orthopedic rehabilitation detection method based on big data. The orthopedic rehabilitation detection system based on the big data comprises a power source module, a perspective module, a blood detection module, a scanning module, a main control module, a cloud service module and a display module. The method detects the blood condition of a human body through the blood detection module, comprehensively reflects physical functions through the scanning module, provides comprehensive disease informationfor treatment, and improves the treatment effect; the data analysis calculation speed can be greatly improved through the cloud service module, and the detection efficiency is improved.

Description

technical field [0001] The invention belongs to the field of orthopedic medical technology, and in particular relates to a big data-based orthopedic rehabilitation detection method. Background technique [0002] Orthopedics is one of the most common departments in major hospitals. It mainly studies the anatomy, physiology and pathology of the musculoskeletal system, and uses drugs, surgery and physical methods to maintain and develop the normal form and function of this system. With the changes of the times and society, the spectrum of orthopedic injuries has undergone significant changes. For example, bone and joint tuberculosis, osteomyelitis, polio and other diseases have decreased significantly, and trauma caused by traffic accidents has increased significantly. Changes in the spectrum of orthopedic injuries require orthopedics to keep pace with the times. However, the traditional orthopedic examination can only judge the patient's recovery by observing the bone healing...

Claims

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Application Information

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IPC IPC(8): A61B6/00A61B5/00A61B5/026
CPCA61B5/0059A61B5/026A61B5/72A61B6/00
Inventor 李广周
Owner CHONGQING THREE GORGES UNIV
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