Intelligent bone and joint information processing system and method based on impedance spectrum signal

Abstract

The invention belongs to the technical field of artificial intelligence and smart medical treatment, and discloses an intelligent bone and joint information processing system and method based on impedance spectrum signals. The method comprises the following steps: collecting historical impedance spectrum data of different parts of the bones and the joints; standardizing the historical data, and randomly dividing the standardized historical data into different data sets; respectively inputting the obtained standardized historical data into classification models for training, and constructing anoptimal combined classification model according to a training result; collecting real-time impedance spectrum data of different parts of bones and joints; standardizing the real-time data; and inputting the obtained standardized real-time data into the optimal combined classification model for identification to obtain a final identification result. According to the invention, automatic identification of different parts of the bone and the joint can be realized only by acquiring the impedance spectrum data of different parts of the bones and the joints, so that dependence on artificial diagnosis is greatly reduced, and the treatment cost is reduced.

Description

technical field [0001] The invention belongs to the field of artificial intelligence technology and smart medical technology, and in particular relates to an intelligent bone and joint information processing system and method based on impedance spectrum signals. Background technique [0002] Currently, the closest prior art: [0003] Bones and joints are important organs and structures with functions of protection, support, hematopoiesis, storage and movement. In addition to bone-related diseases such as fractures caused by accidental accidents, more problems are mainly caused by the aging population. In recent years, there are more and more patients with bone and bone and joint diseases, and there is even a trend of younger age. People generally pay less attention to bone and joint diseases. The accelerated pace of modern life has caused people's life pressure to increase, irregular life, lack of exercise, etc., resulting in frequent bone and joint diseases and seriously ...

AI Technical Summary

Problems solved by technology

[0007] (1) For most of the existing diagnostic technologies for different parts of bones and joints, the recognition rate of different parts of bones and joints is low, and it is impossible to accurately evaluate the health of bones and joints, and misdiagnosis accidents often occur

[0008] (2) For most of the existing diagnostic technologies for different parts of bones and joints, the requirements for detection conditions are relatively high, and the applicable detection objects are limited, resulting in poor versatility, real-time performance and convenience of diagnosis

[0009] (3) For most existing diagnostic technologies for different parts of bones and joints, the degree of intelligence is low, and automatic diagnosis cannot be realized, which reduces the efficiency of diagnosis and may cause users to miss the best time for treatment

[0010] (4) For most of the existing diagnostic technologies for different parts of bones and joints, the side effects are relatively large, and it is easy to cause secondary damage to the user. At the same time, the detection cost is expensive, which increases the economic burden of the user

[0012] For most existing diagnostic technologies for different parts of bones and joints, due to the influence of detection principles and conditions, it is difficult to further improve their performance and economy

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