Human health state detection system based on internet of things and SVM analysis

Abstract

The invention discloses a human health state detection system based on the internet of things and SVM analysis. Human body feature data are obtained through implanted or wearable sensors or other sensor equipment. The health condition of the human body is judged through an SVM analyzer based on data excavation and other technologies. Data collection, data modeling, SVM analysis and feedback interaction are included. The system is mainly used for monitoring the human body health condition based on the internet of things and SVM analysis according to the background of rapid development of the life and health industry, and can relieve the shortage of medical resources and promote rapid development of the heath industry.

Description

technical field [0001] The invention relates to the field of information detection, in particular to a mobile monitoring system capable of real-time monitoring of human body characteristic information, combining Internet of Things technology and SVM classification, and capable of real-time early warning of human health status. Background technique [0002] During the physical examination, all the indicators of the body were normal, but cancer was discovered later. Is there no intermediate process from healthy to cancerous human body, and we have tumors all at once? The answer is of course no. If we can express in detail the entire development process from health to tumor, then we can completely avoid the tragedy of the final incurable disease. If we clearly know where we are in the process of disease development, it will also help us treat our bodies more correctly. Diseases are not formed in a day, and the development of diseases is also traceable. Based on this, the pre...

AI Technical Summary

Problems solved by technology

[0005] The current existing technology is to create a medical record file for people, or to conduct regular physical examinations, but this cannot detect and warn the health of the human body in real time

[0006] At present, the method of human body feature detection is mainly based on image processing. Although image processing can accurately provide more detailed information, the transmission of images requires a lot of bandwidth resources, and the analysis of image feature information requires a lot of computing resources. Moreover, image analysis can only be applied to fixed places, and a large number of cameras need to be installed to collect image information

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