Intelligent garment for monitoring ovarian health

Abstract

The invention discloses an intelligent garment for monitoring ovarian health. The intelligent garment comprises a garment body, wherein the garment body comprises an inner-layer structure and an outer-layer structure, the inner-layer structure and an outer-layer structure comprise user navel corresponding points and vertical control lines, the navel corresponding points are used for covering a position of the navel of a user, and the vertical control lines are used by the user to contrast whether the lines are vertical to the ground; a human body temperature sensor and data processor integrated element is distributed at the inner-layer structure and is located at a Guanyuan point of a woman; and the human body temperature sensor and data processor integrated element comprises a temperaturesensor, a data collecting module, a data caching module, a wireless communication module and a power supply module, is connected with an intelligent terminal APP platform through the wireless communication module and is used for sending collected temperature physiological parameter information of the Guanyuan point to the intelligent terminal APP platform for processing. The intelligent garment can be used for rapidly, visually and noninvasively knowing the ovarian health and internal secretion conditions and prewarning ovarian early diseases.

Description

technical field [0001] The invention belongs to the technical field of wearable clothing, and in particular relates to a smart clothing for ovarian health monitoring. Background technique [0002] The ovary is a female gonad organ, located on both sides of the uterus in the pelvic cavity. The ovary is one of the most important organs in the body for women. It nourishes more than 400 parts of the nine systems of women's bones, immunity, reproduction, and nerves. In view of the particularity of the ovary, its structure and function are closely related to the quality of life and health of women. Therefore, in recent years, monitoring, attention and research on ovarian health have gradually become the top priority (Li Shuangting, 2014). [0003] According to the survey, diseases such as premature ovary failure (POF), corpus luteum insufficiency, polycystic ovary syndrome (PCOS), immature ovary and ovarian tumors account for nearly 50% of the causes of female infertility (Sirista...

AI Technical Summary

Problems solved by technology

[0008] 1. The disadvantage of blood monitoring of ovarian health lies in: the existing technology Finomenomi Discovery Company (2009) "Methods for Diagnosing Ovarian Cancer Health Status and Risk of Ovarian Cancer Health Status" and Chen Huaizeng et al. (2019) "A Method for Monitoring Ovarian Cancer Health Status" The technical disadvantage of Epithelial Ovarian Cancer Susceptibility Detection Kit is that it needs to pass a blood test first, but the blood test equipment is expensive, the cost of the test is high, and the test results are only judged based on the numerical range of a certain disease

Secondly, it must be personally analyzed by medical experts and other personnel to obtain the health status of the ovaries. Users must go to the hospital for testing. It is easy to waste time and public resources of the hospital

Finally, when doctors diagnose patients' conditions, they often ignore many small details, resulting in misdiagnosis and incomplete diagnosis.

[0009] 2. The disadvantages of resistance monitoring ovulation period are: First, ovulation is only a condition of ovarian function, which cannot reflect the disease and overall health status of the ovary. It is not a product suitable for the judgment of ovarian disease and health status, and cannot feed back data to doctors for further consultation.

Secondly, the technical disadvantage of Chang Qing et al. (1990) "Electronic Acupoint Measuring Instrument for Ovulation Period" is that it is known that the Sanyinjiao point is three inches above the tip of the medial malleolus, and the posterior edge of the tibia

Therefore, the measurement is easily affected by external uncontrollable factors such as the local temperature and whether the human body is moving, so there is a certain error in the measured value

Finally, Luo Li et al. (2015) pointed out in the study "The Effect of Acupuncture on Different Acupoints on the Temperature Changes of the Left and Right Sanyinjiao Points in Rats with Dysmenorrhea of ​​Cold Condensation Syndrome" that the temperature of Sanyinjiao points in patients with primary dysmenorrhea of ​​cold-damp stagnation type will increase. There is an imbalance, so there may be errors in the measurement results of this invention

[0010] 3. The disadvantages of temperature monitoring for ovulation period are: First, ovulation is only a condition of ovarian function, which cannot reflect the disease and overall health status of the ovary. It is not a product suitable for judging ovarian disease and health status, and cannot feed back data to doctors for further consultation.

Secondly, the disadvantage of the existing Qiao Fei et al. (2016) "A Smart Underwear and Control Method for Measuring and Analyzing Women's Basal Body Temperature" is that existing studies have shown that not all body temperatures are related to sublingual basal body temperature. Correlation, so the scientific nature needs to be studied

Directly measuring the temperature of a certain place on the skin, such as the arm, armpit, and chest, simplifies the method of measuring ovulation, and Xu Lesi (2014) confirmed that it is related to ovulation and endocrine The relevant humidity is only related to the sublingual temperature after lying still for more than 6 hours. This method ignores the difference between skin temperature and sublingual basal body temperature, and cannot accurately obtain sublingual basal body temperature and ovarian health and ovulation cycle from the measured body temperature the relationship between

It can be seen that there are inaccuracies in the existing technology

Images