Household sperm quality detection method based on big data and mobile Internet

Abstract

The invention discloses a household sperm quality detection method based on big data and the mobile Internet for daily health care. The method involves mobile phone equipment and a mobile phone microscope suite. The method includes the steps of: seminal fluid extraction, seminal fluid dilution, making of seminal fluid specimen, image focusing, image shooting, automatic analysis, online question answering, and statistical analysis of result. Users can complete sperm quality detection by themselves on the basis of daily equipment. The method provided by the invention has the beneficial effects that: 1. the method solves the difficulty of getting medical service from hospitals for users, enables users to detect the sperm quality of themselves at home, and saves the time of users; 2. the method fully protects the privacy of users; 3. the method solves the problem of difficult seminal fluid extraction for users in hospitals, and alleviates the physical and metal harm of users; and 4. the method utilizes big data storage and analysis techniques to ensure no loss of image and analysis result data.

Description

Technical field [0001] The invention relates to the field of household health care, in particular to a household sperm quality detection method based on big data and mobile internet. Background technique [0002] Infertility is an important medical problem in the world. Infertility is on the rise worldwide. Statistics from the World Health Organization show that as of 2016, infertility has accounted for 7% of couples of childbearing age- 15%, with the recent deterioration of the living environment, food safety issues, changes in living habits (working overtime, staying up late, smoking, drinking, etc.), etc. [0003] In the late 1980s, computer-aided analysis technology based on sperm quality (CASAS) has been rapidly developed. People have found that using computer image analysis technology to measure and evaluate sperm morphology has many advantages. It is not only simple in operation, fast in analysis, high in calculation accuracy, and good in repeatability, it provides accurate...

AI Technical Summary

Problems solved by technology

It has been found that using computer image analysis technology to measure and evaluate sperm morphology images has many advantages. It is not only easy to operate, fast in analysis speed, high in calculation accuracy, and good in repeatability, it provides accurate reference data for artificial insemination, and improves the inspection level of laboratory doctors. Reduce their workload, and can overcome the shortcomings of traditional measurement methods, such as time-consuming, poor measurement accuracy, strong human subjectivity, etc.

[0004] But, the shortcoming of present computer aided analysis technology of sperm quality has: 1, can't overcome the storage and fast statistical analysis to a large amount of image and result data, traditional method is exactly to save on the hard disk of hospital computer, but

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