CN111643122B - Ovary health monitoring intelligent clothes - Google Patents

Ovary health monitoring intelligent clothes Download PDF

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CN111643122B
CN111643122B CN202010423300.6A CN202010423300A CN111643122B CN 111643122 B CN111643122 B CN 111643122B CN 202010423300 A CN202010423300 A CN 202010423300A CN 111643122 B CN111643122 B CN 111643122B
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data
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user
early warning
health
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CN111643122A (en
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罗洁
毛爱华
汪旎
廖煜蓉
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Guangzhou University
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Guangzhou University
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B10/0012—Ovulation-period determination
    • A—HUMAN NECESSITIES
    • A41—WEARING APPAREL
    • A41B—SHIRTS; UNDERWEAR; BABY LINEN; HANDKERCHIEFS
    • A41B9/00—Undergarments
    • A41B9/04—Knickers for ladies, with or without inserted crotch or seat parts
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A61B5/015—By temperature mapping of body part
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/43—Detecting, measuring or recording for evaluating the reproductive systems
    • A61B5/4306—Detecting, measuring or recording for evaluating the reproductive systems for evaluating the female reproductive systems, e.g. gynaecological evaluations
    • A61B5/4318—Evaluation of the lower reproductive system
    • A61B5/4325—Evaluation of the lower reproductive system of the uterine cavities, e.g. uterus, fallopian tubes, ovaries
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A61B5/6804—Garments; Clothes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
    • A61B10/0012—Ovulation-period determination
    • A61B2010/0019—Ovulation-period determination based on measurement of temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0204—Operational features of power management
    • A61B2560/0214—Operational features of power management of power generation or supply
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0271—Thermal or temperature sensors

Abstract

The invention discloses an ovarian health monitoring intelligent garment which comprises a garment body, wherein the garment body comprises an inner layer structure and an outer layer structure, the inner layer structure and the outer layer structure respectively comprise a user navel corresponding point and a vertical comparison line, the navel corresponding point is used for covering the navel position of a user, and the vertical comparison line is used for judging whether a user comparison line is vertical to the ground or not; the inner layer structure is provided with a human body temperature sensor and a data processor integrated original, and the human body temperature sensor and the data processor integrated original are positioned at the acupoint of the female Guanyuan acupoint; human temperature sensor and data processor collection original paper includes: temperature sensor, data acquisition module, data cache module, wireless communication module and power module connect intelligent terminal APP platform in succession through wireless communication module to the guan Yuan cave temperature physiological parameter information that will gather sends intelligent terminal APP platform and handles. The invention can quickly, intuitively and noninvasively know the health and endocrine conditions of the ovary and early warn early diseases of the ovary in advance.

Description

Ovary health monitoring intelligent clothes
Technical Field
The invention belongs to the technical field of wearable clothes, and particularly relates to an intelligent ovarian health monitoring garment.
Background
The ovary is one of the most important organs of the female, such as the female's gonad organ, located on both sides of the uterus in the pelvic cavity, and it nourishes more than 400 parts of the nine systems of the female, such as the female's bone, immunity, reproduction, nerves, etc., and in view of the particularity of the ovary organ, the structure and functional status of the ovary are closely related to the quality of life and health of the female, so in recent years, monitoring, attention and research on the health of the ovary are becoming the most important (lygaten, 2014).
According to the survey, diseases such as Premature Ovarian Failure (POF), corpus luteum insufficiency, polycystic ovary syndrome (PCOS), juvenile ovary and ovarian tumor account for about 50% of female infertility causes (Siristatidis et al, 2013). Thus, the health and protection of the ovary become a very reluctant task. The prior art mainly has the following technical schemes for detecting the health of the ovary:
1. and (3) obtaining the ovarian condition through blood detection. As (1) the inventor: the invention relates to a method for predicting a health indication of the presence of Ovarian Cancer (OC), said method measuring the intensity of specific small organic molecules, called metabolites, in blood samples from patients with an undetermined health status. The method enables the practitioner to determine the likelihood that the screened patient is positive for, or at risk for, ovarian cancer. (2) the inventor: chenwying, maple, wang \27995, zhi, chengqi, xiaojingshanqu (2019)' A detection kit for monitoring epithelial ovarian cancer susceptibility: the invention relates to a peripheral anticoagulation detection mode, in particular to a detection kit for monitoring epithelial ovarian cancer susceptibility. The kit contains two pairs of specific PCR primers designed based on single nucleotide polymorphism of NFE2L2 gene. Closely related to the susceptibility of the epithelial ovarian cancer, the single nucleotide polymorphism in the NFE2L2 gene can be effectively and rapidly detected by utilizing the PCR technology, and then the susceptibility of suffering from the epithelial ovarian cancer is predicted, so that the screening and monitoring of the population susceptible to the epithelial ovarian cancer are realized.
2. And monitoring the ovulation period through the resistance value of the acupuncture points. The inventor: changqing and Li Wuyi (1990)' electronic acupoint determinator for ovulatory period, the utility model is in the shape of a pen, and utilizes the resistance variation principle of the three yin crossing acupoints in ovulatory period to determine the resistance variation principle through the determinator so as to judge whether the egg-laying period belongs to the ovulatory period by a traffic light. It consists of hand-held detecting electrode, switch, casing and built-in circuit board.
3. Techniques for monitoring ovulation are obtained by measuring the skin surface temperature. As (1) the inventor: qiao Fei, zhang navy, yellow country red-spot, zhang Yongjiang, liu Tianbo (2016) 'an intelligent underwear and control method for measuring and analyzing female basal body temperature': the invention relates to an intelligent underwear and a control method for measuring and analyzing the basic body temperature of women, wherein a temperature detector is arranged at the side crotch of an underwear body, and provides guidance for pregnancy preparation or contraception of a wearer by monitoring the basic body temperature value of the wearer and analyzing the change of the basic body temperature value in the menstrual cycle. (2) the inventor: the invention relates to a basic body temperature monitoring system for women in child bearing age based on a smart phone, in particular to an intelligent female assisted pregnancy system integrating an arm-wearing type basic body temperature acquisition end and an Android system smart phone assisted pregnancy application end APP (2016), and aims to provide an integrated solution for female pregnancy and pregnancy preparation. (3) the inventor: in Chengju yellow or Jie hong Liyuyang skipsio (2013) <femaleovulatory period device design based on smart phone, the invention relates to a device which is composed of a body temperature electronic buckle and mobile phone application software. The electronic button is designed into a button shape and can be conveniently fixed at the armpit of the underwear. The electronic buckle is internally provided with a digital temperature sensor and a Bluetooth chip for measuring at regular time every minute and sending once temperature data to the mobile phone application software for receiving, storing and displaying the temperature data and the temperature change curve, and identifying the ovulation period from the measured temperature curve according to the built-in typical temperature change curve of the ovulation period and reminding a user.
However, the above detection methods have corresponding defects and shortcomings:
1. the disadvantages of blood monitoring of ovarian health are: the technical disadvantages of the prior art, feinuomuomi discovery company (2009) 'a method for diagnosing health condition and health condition risk of ovarian cancer' and chenohuazen et al (2019) 'a detection kit for monitoring epithelial ovarian cancer susceptibility' are that blood detection is needed firstly, but the blood detection is expensive, the detection cost is high, and the detection result is judged only according to a certain disease numerical range. Secondly, the health condition of the ovary can be obtained only by the personal analysis of personnel such as medical professionals, the user needs to go to a hospital for detection, the detection process is troublesome, the household detection cannot be realized, the detection method is too complicated, the process data user cannot understand the method, the result acquisition time is long, the time is easily wasted, and the public resources of the hospital are easily wasted. Finally, doctors often neglect many tiny details when diagnosing the state of illness of patients, thereby causing misdiagnosis, incomplete diagnosis and other conditions.
2. The disadvantages of resistance monitoring of ovulatory period are: first, ovulation is only a condition of ovarian function, cannot reflect diseases and overall health status of ovaries, is not a product suitable for judging ovarian diseases and health status, and cannot feed data back to doctors for further consultation. Secondly, the technical disadvantage of the Ovulation electronic acupoint determinator of evergreen et al (1990) is that the Sanyinjiao point is known to be three inches directly above the medial malleolus, at the posterior border of the tibia. Therefore, the device is easily subjected to external uncontrollable factors such as local temperature, whether the human body moves and the like during measurement, and therefore a certain error exists in the measured value. Finally, roly et al (2015) in the study on the influence of needling different acupoints on the temperature change of the Sanyinjiao acupoint regions on the left and right Sanyinjiao acupoints of rats with dysmenorrhea due to cold coagulation indicated that the temperature of the Sanyinjiao acupoints of patients with primary dysmenorrhea due to cold-damp coagulation may be unbalanced, so that the measurement result of the invention may be erroneous.
3. The disadvantages of monitoring the ovulatory period by body temperature are: first, ovulation is only a condition of ovarian function, cannot reflect ovarian disease and overall health status, is not a product suitable for judging ovarian disease and health status, and cannot feed back data to doctors for further consultation. Secondly, the existing Qiao Fei et al (2016) intelligent underwear and control method for female basal body temperature measurement and analysis has the defect that the scientificity needs to be studied because the existing research shows that any body temperature on the body is not related to the sublingual basal body temperature. Although the method for measuring ovulation is simplified by means of directly measuring the temperature of a certain part of the skin, such as an arm, an armpit and a chest, the method has the advantages that the humidity related to ovulation and endocrine is only related to the sublingual temperature of resting for more than 6 hours as proved by Schoenberg (2014) in the correlation study of female basal body temperature curves and traditional Chinese medicine symptoms, the difference between the skin temperature and the sublingual basal body temperature is ignored in the method, and the relation between the sublingual basal body temperature and the ovarian health and the ovulation cycle cannot be accurately obtained from the tested body temperature. It can be seen that the prior art is inaccurate.
Disclosure of Invention
The invention mainly aims to overcome the defects and shortcomings of the prior art, and provides the intelligent ovarian health monitoring garment, which is characterized in that the functional relationship between Guanyuan acupoint and basal body temperature and the physiological disease big data are determined through physiological experiments, an AI algorithm and a physiological disease big data algorithm aiming at female ovarian health are established, and data can be automatically collected and analyzed through intelligent connection app of the intelligent pants, so that a user can quickly, intuitively and noninvasively know the ovarian health and endocrine conditions, and early warning of early ovarian diseases is realized.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides an intelligent ovarian health monitoring garment which comprises a garment body, wherein the garment body comprises an inner layer structure and an outer layer structure, the inner layer structure and the outer layer structure respectively comprise a user navel corresponding point and a vertical comparison line, the navel corresponding point is used for covering the navel position of a user, and the vertical comparison line is used for judging whether a user comparison line is vertical to the ground or not; the inner layer structure is provided with a human body temperature sensor and a data processor integrated original, and the human body temperature sensor and the data processor integrated original are positioned at the acupuncture points of the female Guanyuan acupuncture points; the human body temperature sensor and data processor collection original paper includes: the temperature sensor, the data acquisition module, the data cache module, the wireless communication module and the power supply module are connected with each other and used for supplying power to all the modules in the human body temperature sensor and the data processor integrated original;
the temperature sensor is used for acquiring the temperature data of the Guanyuan acupoint of the user;
the data acquisition module is used for converting the signal of the temperature sensor into a digital signal and removing the noise of the data through a filter;
the data acquisition module is used for transmitting the data with noise removed to the data caching module;
the data cache module is used for storing the acquired data in a cache to be sent;
the wireless communication module is used for connecting with the intelligent terminal APP platform and sending the collected Guanyuan acupoint temperature physiological parameter information to the intelligent terminal APP platform in a wireless mode.
As a preferred technical scheme, the human body temperature sensor and the data processor integrated original are placed at the human body Guanyuan acupoint position of the inner layer structure of the clothing trousers body, and the human body temperature sensor and the data processor integrated original are detachably arranged on the memory structure.
As a preferred technical scheme, the intelligent terminal APP platform comprises a user end and a doctor end,
the user side is used for receiving the temperature data of the Guanyuan acupoint and analyzing and processing the data;
and the doctor end is used for diagnosing the inquiry condition transmitted by the user end.
As a preferred technical scheme, the user side comprises a data receiving module, a data storage module, a biomedical big data analysis module, an AI auxiliary diagnosis module, a period report module, a health report module, a data visualization module, a health early warning module and an inquiry module;
the data receiving module is used for being connected with the human body temperature sensor and the wireless communication module of the data processor integrated original, and wirelessly receiving the Guanyuan acupoint temperature data sent by the wireless communication module after connection;
the data storage module is used for storing the received Guanyuan acupoint temperature data according to a specified format and automatically eliminating abnormal temperatures lower than 36 ℃ or higher than 37 ℃, if the temperature is lower than 36 ℃ or higher than 37 ℃, the health early warning module sends an alarm to a user to remind the user to measure again, and the data storage module sends a preliminary result to the biomedical big data analysis module;
the biomedical big data analysis module is used for analyzing the medical big data of the Guanyuan acupoint temperature and the basal body temperature of the user, calculating the ovarian health condition data of the user by comparing the Guanyuan acupoint temperature curve trend and the basal body temperature trend of the user in a period and matching the trend, and sending the ovarian health condition data to the AI auxiliary diagnosis module;
the AI auxiliary diagnosis module screens ultrasonic imaging of the early warning mode and the body temperature of the patient's Guanyuan acupoint by using a trained neural network model, further fuses the Guanyuan acupoint temperature and the ultrasonic images by using biomedical big data at the front end, adopts the principle of maximizing the similarity of the images, namely estimates a variation parameter by optimizing the similarity criterion between the two images so as to realize the registration of the ultrasonic images and the Guanyuan acupoint period trend images, establishes the Guanyuan acupoint body temperature trend associated with the early warning mode according to the ovarian ultrasonic imaging of the patient in different health states, deduces and predicts the fused images, generates a prejudgment conclusion report according to the deduction and prediction results of a computer, and is used for forming the artificial intelligent analysis results into a period report module and a health report module;
the period reporting module and the health reporting module are used for transmitting the ovarian health status data to the data visualization module and determining whether to trigger the health early warning module according to the data condition;
the data visualization module is used for sending the health information of the user to the doctor end;
the health early warning module is used for displaying the user health information through an intelligent terminal image to warn the user and simultaneously sending a short message to an intelligent terminal of the user;
the inquiry module is used for text, voice chat and communication when the user and the doctor perform online inquiry, and sending pictures.
As a preferred technical scheme, the doctor end comprises a personal information management module and an inquiry management module;
the personal information management module is used for managing the relevant information of the doctor and the signed user;
the inquiry management module is used for checking the data materials and historical cases of the signed users.
As a preferable technical scheme, the intelligent ovarian health monitoring garment has an automatic measurement mode, in the automatic measurement mode, a wearer starts to acquire data for the first time in the 6 th hour after sleeping every day, the data are automatically measured for 3 times in total, the time interval of each automatic measurement is 10 minutes, and after the 3 times of automatic measurement, a data storage module calculates the average value of the measured data and then transmits the average value to a biomedical big data analysis module and an AI auxiliary diagnosis module.
As an optimized technical scheme, the biomedical big data analysis module and the AI auxiliary diagnosis module calculate the data of the user Guanyuan acupoint and perform early warning, and the early warning mode comprises the following steps:
in the early warning prompt mode I, if the periodic data of the user shows that the basal body temperature curve is changed in a high-temperature and low-temperature two-phase mode in the process of comparing biological big data and AI analysis and matching, the early warning prompt is that the ovary is healthy, and APP sends a data report and a health condition;
in the second alarm prompting mode, if the body temperature of the periodic data of the user shows high-low temperature two-phase change of the basic body temperature standard in comparison of biological big data and AI analysis matching, and a change day from low temperature to high temperature occurs, the day of the change from low temperature to high temperature is judged to be an ovarian ovulation day, the intelligent terminal APP platform sends a data report, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompting mode III, if the periodic data of the user shows that the basal body temperature curve is in a single-phase lower state in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is a suspected ovarian hypofunction and no oviposition amenorrhea case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult health conditions in the intelligent terminal APP platform;
the early warning prompt mode is IV, if the periodic data of the user presents that the basal body temperature curve is in a single-phase canine shape in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is suspected polycystic ovarian syndrome, the intelligent terminal APP platform sends a data report and the early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompt mode five, if the periodic data of the user shows that the basal body temperature curve presents a bidirectional temperature difference and is small in comparison of biological big data and AI analysis matching, the early warning prompt is yang deficiency or qi deficiency and spleen and kidney deficiency, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompting mode six, if the periodic data of the user shows that the basic body temperature curve is bidirectional and high-temperature in an uphill shape in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is a suspected corpus luteum function insufficiency case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
the early warning prompting mode is seven, if the periodic data of the user shows that the basal body temperature curve is prolonged in a bidirectional high temperature phase in the process of comparing the biological big data and AI analysis matching, the early warning prompt is a pelvic inflammatory disease case, the APP sends a data report and the early warning prompt, and the user can search for a doctor and consult the health condition in the intelligent terminal APP platform;
in the early warning prompting mode eight, if the periodic data of the user shows that the basal body temperature curve is in bidirectional and slowly rising in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is suspected of endocrine dyscrasia and a case with insufficient corpus luteum concentration, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult health conditions in the intelligent terminal APP platform;
and in the early warning prompting mode nine, if the periodic data of the user shows that the basal body temperature curve is single-phase and higher in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is suspected endometriotic tuberculosis, endometriosis or combined hyperthyroidism case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult health conditions in the intelligent terminal APP platform.
As a preferred technical scheme, the communication module is a GSM module, a GPRS module or a WIFI module.
As a preferred technical solution, the integrated element of the human body temperature sensor and the data processor is in the form of an electronic tattoo or an electronic chip patch, the electronic tattoo or the electronic chip patch is a very thin flexible electronic circuit or an electronic element with adhesive property, and the electronic tattoo or the electronic chip patch can be adhered to the guanyuan acupoint of the skin of the user and can be repeatedly torn and pasted for reuse.
As a preferred technical scheme, the ovarian health monitoring intelligent garment is configured to be one or more of ovarian health monitoring intelligent trousers, ovarian health monitoring intelligent clothes and ovarian health monitoring intelligent binding belts.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. according to the invention, by establishing an accurate data feedback mechanism and establishing an online diagnosis and treatment system for a user and a doctor, the invention becomes a product capable of completing diagnosis and treatment of the health condition of the female ovary online. The female ovary monitoring trousers are suitable for monitoring experiments, acupuncture points and temperature are combined, and the Guanyuan acupuncture point body temperature physiological threshold value for female ovaries is set through the experiments, so that the body temperature data source processed by the female ovary monitoring trousers has scientificity and rationality. Meanwhile, the AI algorithm is adopted to process the user data, the physiological information of the user can be accurately fed back, the accuracy and the innovativeness of the female ovary monitoring trousers as an instrument or a device for implementing disease diagnosis are guaranteed, the female ovary monitoring trousers can be directly utilized in the industry, and the industrial reproducibility is realized. Secondly, the information processing smart wearable product, which is applicable to the acupoint temperature acquisition in the scope of the present invention, is a device for implementing a disease diagnosis and treatment method, a method for directly acquiring information as an intermediate result from a living human body, and a method and a device for processing the information (physiological parameters, body temperature involved in the present invention).
2. The invention fills the blank of the intelligent wearable field for diagnosing ovarian diseases aiming at the health state of female ovaries. The Beijing Productivity promotion center (2015) indicated in the development report of the Intelligent wearable industry that the Intelligent wearable industry is in an early development stage, and imperfect functions and few dedicated applications are development bottlenecks. The intelligent wearable product for judging the health state of the ovary is not provided at present. The invention relates to an information processing device aiming at the health state of ovaries, which can objectively and scientifically feed back data of female ovaries.
3. The data feedback mechanism of the invention is a diagnosis device and a method which are used for processing physiological parameters by adopting an AI algorithm and implementing female ovarian diseases or health states according to physiological cycles through the combination of an AI artificial intelligence auxiliary diagnosis technology and biomedical big data. The invention adopts an AI artificial intelligence data period analysis module and a medical big data conversion module, and can effectively improve the human physiological information processing capability and the diagnosis accuracy. Compared with other inventions which require the medical care personnel to diagnose in person, the invention not only greatly improves the female ovary health judging and monitoring efficiency, but also is more scientific based on the mass data analysis of the disease database, the patient sign database and the external environment database. The change of basic body temperature parameters is found in time, data are stored and transmitted to the intelligent terminal APP, and the APP records and analyzes the data, feeds back information in time and reminds the user of the health state. And if the physiological condition value of the research object deviates from the normal value greatly, sending an alarm to remind the user to seek medical treatment in time. The intelligent wearable device is used for human body non-invasive monitoring and diagnosis for finding the female ovarian unhealthy state, and timely, the medical concept of people is changed from treatment to prevention and health care, and the medical mode is changed from hospital to family and patient.
4. The invention is suitable for the intelligent trousers for monitoring the ovarian health, and has pertinence and scientificity. The temperature sensor in the intelligent trousers for monitoring the ovarian health is determined to be the Guanyuan acupoint (10 cm under the navel) of the female through the functional relation between the temperature curve of the Guanyuan acupoint of the female and the temperature curve of the basal body through literature investigation and collection, and compared with the unordered placement of the sensors in the prior art, the method can obtain the health condition of the female ovary more accurately without calculating data or modeling analysis. The basic body temperature of the female can be scientifically, quickly and accurately monitored, and the health condition of the female ovary can be fed back, so that the early tracking and understanding of the health condition of the female ovary can be realized, and the function of timely early warning can be achieved. More importantly, the data can be fed back to the doctor in time, and the clinical significance of the data can be further confirmed.
5. The invention can simplify the initial detection of the health state of the ovary and establish an early-stage home monitoring method of the health state of the ovary. The invention applies the prevention means for finding diseases to the clothes worn by women every day, can realize the purpose of monitoring the health condition of the body in real time, visually, automatically, reliably, nondestructively, quickly and in real time for a long time, and can reduce the error because a user can lie down comfortably without manual measurement and data entry. According to the invention, the health state of the ovary of the user is monitored by monitoring the temperature of the Guanyuan acupoint, the operation steps are simple and convenient, the detection result is visual and accurate, and the step of setting the timing temperature sensor is adopted, so that the wearer does not need to start to operate and detect every day, the influence on the rest of the wearer and the influence on the accuracy of the result caused by a series of activities brought by self-operation detection on the increase of the basic body temperature value are avoided, and a non-sensitive measurement mode is realized.
Drawings
Fig. 1 and 2 are schematic structural diagrams of the front and back sides of the ovarian health monitoring intelligent trousers according to the embodiment 1 of the invention;
fig. 3 is a schematic diagram of an ovary health monitoring smart pant according to an embodiment of the invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The traditional meridian theory considers that the menstruation, the reproduction and the conception vessels of women are closely related. The conception vessel originates from the uterus and runs along the anterior median line of the body, and the vessel qi intersects with the yin meridians of the hand and foot, and has the functions of "sea of yin vessels", "anyong all yin" and "governing uterus and fetus". Su Wen, shang Gu Tian Zhen Lun recorded that the pulse was general, with two seven and the most advanced, the pulse was general, taichong pulse was profuse, and the month was short, with son 8230, seven, the pulse was deficient, the pulse was weak, the day was exhausted, the tunnel was not general, and the shape was bad without son. This indicates that the menstruation is closely related to Chong and ren meridians (Guanyuan, shenque, zhongzhong, etc.) (Zheng Jian, 1998).
Dale (1967) in The Micro-acupunture system indicates that a series of biophysical characteristic indexes such as skin temperature of meridians or acupuncture points can be used as objective indexes of pathological reaction of acupuncture points, and some techniques thereof are possible to be used as objective quantitative indexes. Li-shi-shuang et al (1996) performed the detection and analysis of the skin temperature of 5 healthy persons and 40 patients with liver excess heat by using a platinum resistor as a temperature probe and using a microcomputer to perform data processing, and found that: the skin temperature of the acupuncture points has the following meridian variation, and the acupuncture point temperature of the disease group is 0.37-1.36 ℃ higher than that of the health group, which shows that the skin temperature can be used as an objective index of the pathological reaction of the acupuncture points. The Yang Zi skill and the like (2017) analyze and summarize nearly hundreds of articles related to the acupuncture point body surface temperature in nearly fifty years in the review of the research on the acupuncture point skin temperature, and indicate that the body surface temperature of the acupuncture point part has uniqueness compared with the non-acupuncture point body surface temperature, so that the disease characteristics can be reflected to a certain extent, and a theoretical basis is provided for monitoring the human health by the acupuncture point temperature. A forest Ying and others (2016) test 10 women with normal menstruation in the 'body surface temperature research on the abdominal conception vessel of the menstrual cycle of women', experimentally select the thoroughfare and conception vessels (including Guanyuan acupoint, shenque acupoint and Zhongwan acupoint) positioned on the abdomen of the women, and compare the body surface temperatures of the three acupoints with the basic body temperature of the women to obtain the change curve of the Guanyuan acupoint and the basic body temperature of the women, wherein the change curve of the basic body temperature of the women shows great similarity.
The ancient book of medical science "the internal classic" records: the basic body temperature changes are related to the change of yin-yang qi and blood in the female body, and the physiological and pathological changes of yin-yang waning and waxing and transformation of the menstrual cycle can be reflected by the basic body temperature curve. The basal body temperature curve of a female in a normal childbearing period shows four changes with different heights in a menstrual cycle, which are in one-to-one correspondence with a later period, an intermenstrual period, an earlier period and a menstrual period in the menstrual cycle (dawn, etc., 2008), the relationship between the basal body temperature and the health of an ovary is found by Vande Velde as early as 1904, and Schleis (2014) indicates that the Basal Body Temperature (BBT) is the body temperature of a human body in a resting state, and is the body temperature measured by waking from a deep sleep in the morning after the human sleeps for 6 to 8 hours, and the body temperature is not influenced by factors such as exercise diet or emotional change, and the like, and the thermometer is placed under the tongue for 5 minutes. At present, some detection devices, such as oral thermometers, which are made according to a basic body temperature detection method are also available in the market. However, these detection devices all require the user to get up every day at regular time to measure the basal body temperature, which seriously affects the rest of the user and causes the increase of the basal body temperature value due to a series of activities brought by operating the detection device, and the accuracy of the affected result is more likely to require the user to carry out statistical analysis on the change of the basal body temperature, which has great subjectivity and is easy to misjudge the result.
Female ovaries form cystic corpus luteum which can increase body temperature of women, wherein the insufficient corpus luteum function is caused by insufficient secretion of progesterone due to hypoplasia or premature degeneration of corpus luteum, so that endometrium development in a secretion period is retarded or arrested, or matrix and gland are not in dysgenesis, the corpus luteum is not beneficial to planting and early development, whether the corpus luteum is not atrophied all the time is the key of pregnancy, and menstrual disorder such as infertility, repeated early abortion or premenstrual bleeding is shown (Yuanmei, 2002). The existing research shows that the traditional Chinese medicine syndrome of corpus luteum deficiency has a certain correlation with the high-temperature phase curve of basal body temperature, and the traditional Chinese medicine syndrome of corpus luteum deficiency is mostly seen in the types of kidney yang deficiency and liver depression and qi stagnation. Zhou Xue Cheng (2010) indicated that there is an intrinsic relationship between different types of basic body temperature curves of corpus luteum insufficiency and sex hormones in the study on the correlation between the traditional Chinese medicine syndrome and basic body temperature of ovarian corpus luteum insufficiency.
Meiting et al (2017) point out that the intelligent garment realizes real-time monitoring of the physiological condition of the human body through the implantation of a sensor and microelectronics in the development review and future prospect of the intelligent garment, and send out early warning when the detected physiological data of the human body is abnormal so as to remind the sub-health state of a wearer and avoid the occurrence of diseases. Meanwhile, the intelligent garment can assist medical treatment and detect the physical condition of a patient in time to adjust treatment measures. At present, the sensor wireless transmission technology can detect human body temperature, sweat, urine and the like, wherein, the body temperature monitoring sensor converts all physical chemistry and the like according to a certain rule to enable a signal output device or equipment which is convenient to use, and has the advantages of convenience, simplicity, capability of self-detection at home and the like.
The social science and technology of the present generation are continuously improved, and various fields are deepened by artificial intelligence technology. In the medical field, researchers can utilize a computer deep learning technology to analyze medical image data and the like, so that a lot of time is saved for doctors in the aspects of processing data and analyzing images, and artificial intelligence is widely accepted and applied in the medical field. The AI system can give a preliminary diagnosis result based on the past medical history of the user, the user and data, provide medical care advice and predict the type, probability and degree of disease occurrence by utilizing a deep learning technology based on mass data analysis of a disease database, a patient sign database and an external environment database.
In conclusion, the research has proved that the Guanyuan acupoint is closely related to the female basal body temperature, and the condition of the female ovary function can be directly known through the temperature measurement of the Guanyuan acupoint. The close contact between the clothing and the human body and the good comfort and mobility make the clothing the best carrier for detecting the health condition of the ovary. The invention collects the temperature of the Guanyuan acupoint of the female, realizes the data monitoring of the female ovary health through AI and medical big data calculation, and has the characteristics of science, accuracy and rapidness. The scheme comprises hardware, software, a system platform and data acquisition and analysis. The scheme is through sensor technology and data information technology realization to women's healthy analysis of ovary and judgement, with user guan Yuan acupoint data change drawing visual data picture according to the month, show for the user through the cell-phone, the user passes through AI and medical big data's computational analysis in data monitoring and the intelligent APP, judge the health status of ovary, know own female hormone level, corpus luteum function etc. accomplish and judge and the early warning suggestion to ovary health status, discover women's health hidden danger, accomplish the effect of early treatment of discovery. At present, no product for knowing the health condition of the ovary through the temperature of the acupuncture points exists, and the invention is a healthy intelligent clothing product which is in short supply on the market and combines the acupuncture points, the temperature and the AI technology.
Example 1
As shown in fig. 1 and fig. 2, the ovarian health monitoring intelligent garment of the embodiment comprises a garment body, wherein the garment body comprises an inner layer structure and an outer layer structure, the inner layer structure and the outer layer structure both comprise a user navel corresponding point 11 and a vertical comparison line 12, the navel corresponding point 11 is used for covering the navel position of a user, and the vertical comparison line 12 is used for judging whether the user comparison line is vertical to the ground or not; human temperature sensor and data processor set 2 are arranged to the inner layer structure, and human temperature sensor and data processor set 2 are located the acupuncture point of woman guanyuan cave.
As shown in fig. 3, the human body temperature sensor and data processor complex original 2 includes: the temperature sensor 20, the data acquisition module 21, the data cache module 22, the wireless communication module 23 and the power supply module 24, wherein the power supply module 24 is connected with the temperature sensor 20, the data acquisition module 21, the data cache module 22 and the wireless communication module 23, and is used for supplying power to each module in the human body temperature sensor and the data processor integrated original 2;
the temperature sensor 20 is used for collecting the temperature data of the Guanyuan acupoint of the user;
the data acquisition module 21 is configured to convert a signal of the temperature sensor 20 into a digital signal, and remove noise of the data through a filter;
the data acquisition module 21 is configured to transmit the data with noise removed to the data cache module 22;
the data cache module 22 is configured to store the acquired data in a cache for transmission;
and the wireless communication module 23 is used for connecting with the intelligent terminal APP platform and sending the collected Guanyuan acupoint temperature physiological parameter information to the intelligent terminal APP platform 3 in a wireless mode.
According to the technical scheme, the functional relation between the Guanyuan acupoint and the basal body temperature and the physiological disease big data are determined through a physiological experiment, an AI algorithm and a physiological disease big data algorithm for female ovarian health are established, and data can be automatically collected and analyzed by wearing the intelligent trousers intelligent connection app, so that a user can quickly, intuitively and noninvasively know the ovarian health and endocrine conditions, and early-warning of early ovarian diseases is achieved.
Further, human temperature sensor and data processor set original paper 2 are placed according to experimental result earlier stage the human guanyuan cave position of 1 inlayer of clothing body under the condition that does not influence health and measuring degree of accuracy, can adopt and dismantle human temperature sensor and data processor set original paper 2, both satisfied the travelling comfort of sleep dress and can wash and repetitious usage, practice thrift the cost again, it is very convenient to bring for the user to do not produce the foreign matter sensation to the human body.
Furthermore, in the human body temperature sensor and data processor assembly 2, the temperature sensor 20 is configured to acquire the temperature data of the guanyuan acupoint of the user, the data acquisition module 21 is configured to convert the signal of the temperature sensor 20 into a digital signal, and remove noise of the data through a filter, then the data acquisition module 21 transmits the data to the data cache module 22, the data cache module 22 is configured to store the acquired data in a cache for transmission, the GSM and/or GPRS and/or WIFI module 23 is configured to connect with the data receiving module 301 of the intelligent terminal APP platform 3, and wirelessly transmit the acquired physiological parameter information of the guanyuan acupoint temperature to the intelligent terminal APP platform 3, and the APP platform setting user side 300 and the doctor side 310; power module 24 includes charging circuit module 241 and/or battery installation module 242 two parts, and the user can select to use charging circuit module 241 to charge in advance or use battery installation module 242 to carry out the battery powered according to the demand, and power module 24 and temperature sensor 20, data acquisition module 21, data cache module 22 and GSM and/or GPRS and/or WIFI wireless communication module 23 are connected for the power supply of each module in giving human body temperature sensor and data processor set original document 2.
Furthermore, in the intelligent terminal APP platform 3, in the user terminal 300, the data receiving module 301 is configured to wirelessly receive the guanyuan acupoint temperature data sent by the other party after being connected with the GSM and/or GPRS and/or WIFI wireless communication module 23 of the human body temperature sensor and data processor integrated original 2; the data storage module 302 is used for storing the received data according to a specified format, so that the data can be effectively and quickly cleaned and analyzed, and a result is given, the data storage module 302 can automatically eliminate abnormal temperature lower than 36 ℃ or higher than 37 ℃, if the temperature is lower than 36 ℃ or higher than 37 ℃, the health early warning module 308 sends an alarm to a user to remind the user to measure again, and the data storage module 302 sends a preliminary result to the biomedical big data analysis module 303; the biomedical big data analysis module 303 analyzes and calculates the ovarian health condition of the user according to the acupoint temperature of the Guanyuan acupoint of the user and the medical big data, and sends the data to the AI auxiliary diagnosis module 304, and the AI auxiliary diagnosis module 304 forms the artificial intelligence analysis result into a period report module 305 and a health report module 306; the period report module 305 and the health report module 306 transmit the data to the data visualization module 307, and determine whether to trigger the health early warning module 308 according to the data condition, the information will be displayed through the intelligent terminal image to warn the user, and meanwhile, the short message is sent to the mobile phone of the user; the information transmitted to the data visualization module 307 by the data can be sent to a doctor designated by the user and displayed by the inquiry management module 312 in the doctor end 310; the user side further comprises an inquiry module 309, which is used for text, voice chat and communication when the user and the doctor perform online inquiry, and sending pictures.
Meanwhile, in the intelligent terminal APP platform 3, in the doctor end 310, the personal information management module 311 is used for a doctor to manage the relevant information of the doctor and the contracted user; the inquiry management module 312 is configured to view data and historical cases of the subscriber; the inquiry module 309 is used for chatting and communicating with the user by text and voice during online inquiry and sending pictures.
The time measuring method can be divided into automatic mode measurement and manual mode measurement. The automatic mode measurement is that the first data acquisition is started in the 6 th hour after the wearer sleeps every day, the total number of the automatic measurement is 3, the interval between the automatic measurement time of each time is 10 minutes, the data storage module 302 calculates the average value of the measurement data after the 3 times of automatic measurement are finished, and then the average value is transmitted to the biomedical big data analysis module 303 and the AI auxiliary diagnosis module 304. Secondly, the manual measurement mode is that the user can set the measurement time point according to the self sleep duration, and the measurement time point can only be set as the rest time point in the area of 6 to 8 hours after the sleep. Since some women have insufficient corpus luteum function and the like, there may be cases where the suddenly dropped temperature is not the first day of the menstrual period, and the user can manually update the starting day according to this case.
In the terminal intelligence APP module, the biomedical big data and AI artificial intelligence auxiliary diagnosis technology are combined, the user point acupoint data is calculated to obtain the diagnosis of the health condition of the ovary of the user, and the report and early warning mode comprises the following nine states:
and in a first data calculation and early warning prompt mode, if the periodic data of the user shows that the basal body temperature curve is changed in a high-low temperature two-phase mode in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is that the ovary is healthy, and the APP sends a data report and a health condition.
And in a data calculation and early warning prompt mode II, if the body temperature of the periodic data of the user shows high-low temperature two-phase change of a basic body temperature standard in comparison of biological big data and AI analysis matching, and a change day from low temperature to high temperature occurs, judging that the day of change from low temperature to high temperature is an ovarian ovulation day, sending a data report by the APP, and searching a doctor and consulting health conditions in the APP by the user.
A third mode of data calculation and early warning prompt, if the user's cycle data shows that the basal body temperature curve is monophasically biased low in the comparative biodata and AI analysis matches, the early warning prompt is suspected of low ovarian function and no anovulatory amenorrhea cases, the APP sends a data report and the early warning prompt, and the user can find a doctor in the APP and consult health conditions.
And a fourth data calculation and early warning prompt mode, if the periodic data of the user presents that the basal body temperature curve presents in the analysis matching of the comparative biological big data and the AI and presents in the shape of single-phase canine teeth, the early warning prompt is suspected polycystic ovarian syndrome, the APP sends a data report and an early warning prompt, and the user can search for a doctor in the APP and consult the health condition.
And a fifth data calculation and early warning prompt mode, if the periodic data of the user shows that the basal body temperature curve shows that the bidirectional temperature difference is small in comparison of the biological big data and AI analysis matching, the early warning prompt is yang deficiency or qi deficiency and spleen and kidney deficiency, the APP sends a data report and an early warning prompt, and the user can find a doctor in the APP and consult the health condition.
And a sixth data calculation and early warning prompt mode, if the periodic data of the user shows that the basal body temperature curve is bidirectional and high-temperature uphill in the process of comparing the biological big data and AI analysis and matching, the early warning prompt is a suspected corpus luteum function insufficiency case, the APP sends a data report and an early warning prompt, and the user can search for a doctor in the APP and consult the health condition.
And a seventh data calculation and early warning prompt mode, if the periodic data of the user shows that the basal body temperature curve is prolonged in a bidirectional high temperature phase in the process of comparing the biological big data and AI analysis matching, the early warning prompt is a pelvic inflammatory disease case, the APP sends a data report and an early warning prompt, and the user can search for a doctor in the APP and consult the health condition.
And a data calculation and early warning prompt mode eight, if the periodic data of the user shows that the basal body temperature curve is in bidirectional and slowly rises in the process of comparing the biological big data and AI analysis matching, the early warning prompt is suspected endocrine dyscrasia, the corpus luteum concentration is insufficient, the APP sends a data report and an early warning prompt, and the user can find a doctor in the APP and consult the health condition.
And a ninth data calculation and early warning prompt mode, wherein if the periodic data of the user shows that the basal body temperature curve is in single-phase and is higher in comparison with the biological big data and AI analysis matching, the early warning prompt is a suspected endometriotic tuberculosis, endometriosis (EM) or a combined hyperthyroidism case, the APP sends a data report and an early warning prompt, and the user can search for a doctor in the APP and consult the health condition.
How to collect and count the Guanyuan acupoint temperature and the basal body temperature of women with proper age, establish a functional relationship, and confirm that the Guanyuan acupoint temperature is related to the basal body temperature of women is described as follows: literature research shows that the acupoint temperature can monitor the health condition of a human body, the basal body temperature is closely related to the health of an ovary and can directly reflect the state of the ovary, the Basal Body Temperature (BBT) is the body temperature of a human body in a resting state, the basal body temperature is the body temperature measured by placing a thermometer under the tongue for 5 minutes after the human body wakes up from a deep sleep in the morning after sleeping for 6 to 8 hours and is not influenced by factors such as exercise, diet or emotional change. In order to further determine the functional relationship between the temperature of the Guanyuan acupoint and the basic body temperature in the intelligent trousers suitable for monitoring the ovarian health, the invention carries out a series of experiments in a laboratory and establishes the functional relationship between the temperature of the Guanyuan acupoint and the basic body temperature through a mathematical model. Therefore, the prepared intelligent trousers suitable for monitoring the ovary health can scientifically, accurately and quickly judge the health condition of the ovary of the user, so that the data accuracy and precision of the data in the AI auxiliary diagnosis module 304 and the biomedical big data analysis module 303 are facilitated.
The following describes how to establish biological big data based on the health status of female ovaries: in order to carry out AI artificial intelligence analysis and comparison, the invention carries out experimental clinical physiological data acquisition, establishes comparison data of pathological image analysis, establishes data and a judgment method suitable for female ovary health condition diagnosis, and ensures the accuracy of the intelligent trousers for monitoring ovary health by using biomedical big data and AI artificial intelligence analysis.
Example 2
Different from the intelligent trousers for monitoring ovarian health in the embodiment 2, the embodiment 2 of the invention also provides intelligent wearable clothes or clothing equipment such as intelligent clothes for monitoring ovarian health, intelligent binding belts for monitoring ovarian health and the like. The health state of the ovary of the user can be monitored under the condition that the sleep action of the user is not influenced. The body of the clothes, the clothes or the clothes accessories of the device is not limited to trousers, fabrics of different materials and colors can be selected according to the requirements of users, and the style of the clothes, the appearance of the clothes or the clothes accessories can be changed according to the individual requirements.
Example 3
Unlike the garment, apparel or apparel accessory provided in embodiments 1 and 2 of the present invention, in the ovarian health monitoring provided in the third embodiment of the present invention, the human body temperature sensor and data processor assembly 2 device can be used alone and is in the form of an electronic tattoo or/and electronic chip patch, which is actually a flexible electronic circuit with very thin texture or an electronic element with adhesive, and the electronic tattoo or/and electronic chip patch can be adhered to the Guanyuan acupoint of the skin of the user and can be repeatedly torn off for reuse.
As used in embodiments of the present application, a "communication terminal" (or simply "terminal") includes, but is not limited to, an apparatus that is configured to receive/transmit communication signals via a wireline connection, such as via a public-switched telephone network (PSTN), a Digital Subscriber Line (DSL), a digital cable, a direct cable connection, and/or another data connection/network, and/or via a wireless interface (e.g., for a cellular network, a Wireless Local Area Network (WLAN), a digital television network such as a DVB-H network, a satellite network, an AM-FM broadcast transmitter, and/or another communication terminal). A communication terminal arranged to communicate over a wireless interface may be referred to as a "wireless communication terminal", a "wireless terminal", a "mobile terminal" and/or an "electronic device". Examples of electronic devices include, but are not limited to, satellite or cellular telephones; a Personal Communications System (PCS) terminal that may combine a cellular radiotelephone with data processing, facsimile and data communications capabilities; PDAs that may include radiotelephones, pagers, internet/intranet access, web browsers, notepads, calendars, and/or Global Positioning System (GPS) receivers; and conventional laptop and/or palmtop receivers or other electronic devices that include a radiotelephone transceiver.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.

Claims (6)

1. The intelligent ovarian health monitoring garment comprises a garment body and is characterized in that the garment body comprises an inner layer structure and an outer layer structure, the inner layer structure and the outer layer structure respectively comprise a user navel corresponding point and a vertical comparison line, the navel corresponding point is used for covering the navel position of a user, and the vertical comparison line is used for judging whether a user comparison line is vertical to the ground or not; the inner layer structure is provided with a human body temperature sensor and a data processor integrated element, and the human body temperature sensor and the data processor integrated element are positioned at the acupoint of the female Guanyuan acupoint; the human body temperature sensor and data processor integrated element comprises: the temperature sensor, the data acquisition module, the data cache module, the wireless communication module and the power supply module are connected, and are used for supplying power to each module in the human body temperature sensor and the data processor integrated element;
the temperature sensor is used for acquiring the temperature data of the Guanyuan acupoint of the user;
the data acquisition module is used for converting the signal of the temperature sensor into a digital signal and removing the noise of the data through a filter;
the data acquisition module is also used for transmitting the data with noise removed to the data caching module;
the data caching module is used for storing the data with noise removed in a cache to be sent;
the wireless communication module is used for connecting the intelligent terminal APP platform and sending the acquired Guanyuan acupoint temperature data to the intelligent terminal APP platform in a wireless mode;
the intelligent terminal APP platform comprises a user terminal and a doctor terminal,
the user side is used for receiving the temperature data of the Guanyuan acupoint and analyzing and processing the data;
the doctor end is used for diagnosing the inquiry condition transmitted by the user end;
the user side comprises a data receiving module, a data storage module, a biomedical big data analysis module, an AI auxiliary diagnosis module, a period report module, a health report module, a data visualization module, a health early warning module and an inquiry module;
the data receiving module is used for being connected with the wireless communication module of the human body temperature sensor and the data processor integrated element and wirelessly receiving the Guanyuan acupoint temperature data sent by the wireless communication module after connection;
the data storage module is used for storing the received Guanyuan acupoint temperature data according to a specified format and automatically eliminating abnormal temperatures lower than 36 ℃ or higher than 37 ℃, if the temperature is lower than 36 ℃ or higher than 37 ℃, an alarm is sent to a user through the health early warning module to remind the user to re-measure, and the data storage module sends a preliminary result to the biomedical big data analysis module;
the biomedical big data analysis module is used for analyzing the medical big data of the Guanyuan acupoint temperature and the basic body temperature of the user according to the Guanyuan acupoint temperature curve trend and the basic body temperature trend of the user, calculating the ovarian health condition data of the user according to the matching trend by comparing the Guanyuan acupoint temperature curve trend and the basic body temperature trend of the user in a period, and sending the ovarian health condition data to the AI auxiliary diagnosis module;
the AI auxiliary diagnosis module screens ultrasonic imaging of an early warning mode and the temperature of the Guanyuan acupoint of a patient for comparison analysis by utilizing a trained neural network model, further fuses the Guanyuan acupoint temperature and the ultrasonic image through front-end biomedical big data, adopts the principle of maximizing the similarity of the images, namely estimates a variation parameter by optimizing the similarity criterion between the two images so as to realize registration of the ultrasonic image and the Guanyuan acupoint period trend image, establishes the Guanyuan acupoint temperature trend associated with the early warning mode according to the ovarian ultrasonic imaging of the patient in different health states, deduces and predicts the fused image, generates a prejudgment conclusion report according to the deduction and prediction results of a computer, and is used for forming a period report and a health report of an artificial intelligent analysis result;
the period reporting module and the health reporting module are respectively used for transmitting the ovarian health status data to the data visualization module and determining whether to trigger the health early warning module according to the data condition;
the data visualization module is used for sending the health information of the user to the doctor end;
the health early warning module is used for displaying images of the user health information through the intelligent terminal to warn the user and sending short messages to the intelligent terminal of the user;
the inquiry module is used for text and voice chat and picture sending when the user and the doctor perform online inquiry;
the ovary health monitoring intelligent garment is provided with an automatic measurement mode, in the automatic measurement mode, a wearer starts to acquire data for the first time in 6 hours after sleeping every day, the data are automatically measured for 3 times totally, the time interval of each automatic measurement is 10 minutes, after the 3 times of automatic measurement are finished, the data storage module calculates the average value of the measured data, and then the average value is transmitted to the biomedical big data analysis module and the AI auxiliary diagnosis module;
the biomedical big data analysis module and the AI auxiliary diagnosis module calculate the temperature data of the Guanyuan acupoint of the user and perform early warning, and the early warning mode comprises the following steps:
in the early warning prompt mode I, if the periodic data of the user shows that the basal body temperature curve is changed in a high-low temperature two-phase mode in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is that the ovary is healthy, and the intelligent terminal APP platform sends a data report and a health condition;
in the early warning prompt mode II, if the body temperature of the periodic data of the user shows high-low temperature two-phase change of the basic body temperature standard in comparison with the biomedical big data and AI analysis matching, and a change day from low temperature to high temperature occurs, the day of the change from low temperature to high temperature is judged as an ovarian ovulation day, the intelligent terminal APP platform sends a data report, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompting mode III, if the periodic data of the user shows that the basal body temperature curve is in a single-phase lower state in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is a suspected ovarian hypofunction and no-ovulation amenorrhea case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult health conditions in the intelligent terminal APP platform;
the early warning prompt mode is IV, if the periodic data of the user presents that the basal body temperature curve presents in a single-phase canine tooth shape in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is suspected polycystic ovarian syndrome, the intelligent terminal APP platform sends a data report and the early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompt mode five, if the periodic data of the user shows that the basal body temperature curve shows small bidirectional temperature difference in comparison of the biomedical big data and AI analysis matching, the early warning prompt is spleen and kidney deficiency, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
in the early warning prompt mode six, if the periodic data of the user shows that the basic body temperature curve is in a bidirectional high-temperature uphill shape in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is a suspected corpus luteum function insufficiency case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult the health condition in the intelligent terminal APP platform;
the early warning prompting mode is seven, if the periodic data of the user shows that the basal body temperature curve is prolonged in a bidirectional high temperature phase in the process of comparing the biomedical big data and AI analysis matching, the early warning prompt is a pelvic inflammatory disease case, the intelligent terminal APP platform sends a data report and the early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
an early warning prompt mode eight, if the periodic data of the user shows that the basal body temperature curve is in a bidirectional and slow rising state in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is suspected endocrine dyscrasia and a case with insufficient corpus luteum concentration, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor in the intelligent terminal APP platform and consult health conditions;
and in the early warning prompting mode nine, if the periodic data of the user shows that the basal body temperature curve is in single-phase higher in the process of comparing the biomedical big data and AI analysis and matching, the early warning prompt is suspected endometriotic tuberculosis, endometriosis or a merged hyperthyroidism case, the intelligent terminal APP platform sends a data report and an early warning prompt, and the user can search for a doctor and consult health conditions in the intelligent terminal APP platform.
2. The intelligent garment for ovarian health monitoring of claim 1, wherein the body temperature sensor and data processor integrated component is removably disposed on the inner layer structure.
3. The intelligent clothing of claim 1, wherein the doctor end comprises a personal information management module and an interrogation management module;
the personal information management module is used for managing the relevant information of the doctor and the signed user;
and the inquiry management module is used for checking the data information and the historical case of the signed user.
4. The intelligent ovarian health monitoring garment of claim 1, wherein the wireless communication module is a GSM module or a WIFI module.
5. The intelligent ovarian health monitoring garment as claimed in any one of claims 1 to 4, wherein the human body temperature sensor and data processor integrated element is in the form of an electronic tattoo, which is a very thin, sticky electronic element that can be adhered to the Guanyuan acupoint of the user's skin and can be repeatedly torn and attached for reuse.
6. The ovarian health monitoring smart suit of any one of claims 1-4, wherein the ovarian health monitoring smart suit is configured as one of an ovarian health monitoring smart pant, an ovarian health monitoring smart binding band.
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