63 results about "Menstrual cycle" patented technology

The invention relates to an ovarian reserve hypofunction prediction method based on multi-data fusion, and the technical scheme comprises the following steps: regularly collecting biomarker data related to ovarian reserve, including anti-mullerian canal hormone AMH, follicle stimulating hormone FSH, luteinizing hormone LH, estradiol E2, and ultrasonic image data including follicle quantity and ovarian volume; acquiring dynamic change curve data and capturing the change trend of the ovarian reserve function when the acquisition time point covers the key stage of the menstrual cycle; analyzing the biomarker data acquired for multiple times by using an LSTM deep learning model, and modeling a change trend of the ovarian reserve function of each patient along with time; by analyzing the periodic fluctuation of AMH and FSH biomarkers, the decline time node of the ovarian reserve function in the future is predicted; and on the basis of the LSTM deep learning model of S1.1, performing personalized risk assessment in combination with individual characteristics of patients including age, genes, lifestyles and disease histories.

To provide an information processing device capable of presenting a user an appropriate advice based on menstrual and sleep patterns.SOLUTION: An information processing device 10 includes: an acquisition unit that acquires information representing the status of a target user from one or multiple sensors; and a control unit that evaluates a menstrual cycle of a user by evaluating the sleep state of the target user by performing a first processing on the information and by performing a second processing different from the first processing on the information. The control unit controls to output a proposal for the target user on an external unit based on the evaluation of sleep status and the evaluation of menstrual rhythm.SELECTED DRAWING: Figure 1

The invention provides an early pregnancy risk prediction method and system based on multi-source data and a medium. Firstly, basic information, physiological cycle data and living habit data of a user are collected through a preset interface; preprocessing the original data to generate standardized structure data; extracting age features, periodic regularity features and living habit features to obtain a feature vector set; then, sequentially comparing the age feature with a first threshold value to generate a risk index, comparing the physiological cycle feature with a second threshold value to update the risk index, and matching the living habit feature with a third threshold value to obtain feature matching information; integrating the risk index and the matching information based on a weighted fusion algorithm to generate a pregnancy risk score; and finally, generating a visual risk interface through a graphic rendering engine in combination with historical data, and outputting the visual risk interface. Therefore, comprehensive assessment and real-time monitoring of pregnancy risks are realized, and the accuracy of health management and the effectiveness of decision support are improved.

A method for determining for a female a time interval for using contraception is disclosed, the method comprising receiving in a processor (11), from a sensor system (22) of a wearable device (2) of the female, physiological data of the female, generating cycle phase probabilities of the female being in one or more cycle phases of her menstrual cycle on a given day, by use of a machine learning model and the physiological data, determining the time interval for using contraception using the physiological data, the cycle phase probabilities, and pre-determined cycle phase probability thresholds, and generating a message for the female comprising the time interval for using contraception.

An Artificial Intelligence (AI) system trained by a plurality of training data. The AI system is trained by relationships between a time to final menstrual period and ratios between follicle-stimulating hormone levels and estradiol levels, anti-mullerian hormone, race, cholesterol levels, and a presence of one or more contraceptives. The AI system is configured to accept data from only one sample from a user as input and generate a prediction of a time to final menstrual period for the user as output.

The invention discloses a traditional Chinese medicine gynecology dysmenorrhea patient treatment device, and relates to the technical field of traditional Chinese medicine gynecology, the technical scheme is characterized in that the traditional Chinese medicine gynecology dysmenorrhea patient treatment device comprises a connecting belt, a buckle is arranged at the end of the connecting belt, the other end of the connecting belt is clamped on the buckle, and the traditional Chinese medicine gynecology dysmenorrhea patient treatment device further comprises a massage module; the hot compress massage disc is arranged on the connecting belt, and a massage head is arranged on the hot compress massage disc; the data acquisition module is used for acquiring individual physiological data and dysmenorrhea symptom data of the traditional Chinese medicine gynecological dysmenorrhea patient; the data analysis module is used for analyzing according to the individual physiological data to obtain a first pre-selected hot compress parameter group of the hot compress massage disc and obtaining a first hot compress parameter set according to the first pre-selected hot compress parameter group; the device has the effects of dynamically capturing the change of the condition of a patient, updating a parameter scheme in real time along with the menstrual cycle and the treatment progress, adapting to the requirements of different stages such as the development stage and the remission stage, realizing accurate nursing in the whole process, and remarkably improving the treatment accuracy, adaptability and comprehensive curative effect.

The invention relates to the technical field of gynecological acupuncture and moxibustion, in particular to a traditional Chinese medicine acupoint stimulation device for gynecological menstrual cycle conditioning, which comprises a main body, an acupuncture needle, a needle clamp, an electric pulse driving module and a motor controller, the main body comprises a fixing structure, a motor stator, a motor rotor, a spring and a clamp fixing disc, and the fixing structure is mounted on the motor stator. A doctor only needs to search acupuncture points for acupuncture operation, after acupuncture is completed, other personnel operate the traditional Chinese medicine acupoint stimulation device, installation of the traditional Chinese medicine acupoint stimulation device is completed, twisting and lifting operation procedures are set for each acupuncture point in advance, twisting and lifting are automatically completed during remaining of acupuncture needles, work of the doctor is relieved, and the work efficiency of the doctor is improved. A doctor can have more time to treat other patients, and the treatment efficiency is improved.

The invention relates to an acupuncture-assisted acupoint selection device for adjusting a menstrual cycle in the field of acupoint selection devices. The acupuncture-assisted acupoint selection device comprises a system end and an equipment end, the equipment end comprises a wearable data collector and a stimulation device, and the system end comprises a data collection module, a data storage module and an acupoint selection module; the data acquisition module is used for acquiring physiological data and treatment feedback data; the data storage module is used for storing structured data, and the acupoint selection module is used for selecting acupoint combinations and stimulation schemes according to physiological data and treatment feedback data; the stimulation device comprises a control terminal with a display unit and a plurality of stimulation sheets with numbers; the stimulation piece comprises a base surface layer, a sub-control unit is fixedly connected to the base surface layer, an outer bonding layer and a stimulation unit are fixedly connected to the lower end of the base surface layer, real-time monitoring of the physiological state of a user is achieved through accurate data collection and analysis, and the accuracy and individuation level of physiotherapy are easily improved through an intelligent acupoint selection and stimulation scheme.

The objective is to provide a health management system, toilet seat device, and toilet device that are easy to implement. [Solution] A health management system is provided comprising: an excrement detection unit that detects feces in a toilet; a processing unit that makes a determination about the user's feces based on the data acquired by the excrement detection unit; and a notification unit, wherein the processing unit estimates information about the user's menstrual cycle based on the data acquired by the excrement detection unit, and the notification unit provides notification based on the information about the user's menstrual cycle estimated by the processing unit.

The composition and / or combinations includes diosgenin and at least one other agent selected from vitamin D and α-lactalbumin and its use in the regularization of the menstrual cycle and in the reduction of ovarian cysts, in particular in women affected with polycystic ovarian syndrome (PCOS) phenotype D.

1. The name of the product of this design: electronic thermometer. 2. Purpose of the product of this design: Used as an electronic thermometer that is worn on pants or other clothes when going to bed to measure body temperature for predicting the menstrual cycle. 3. The design key point of this appearance design product lies in the shape represented by the three-dimensional diagram. 4. The picture or photo that best illustrates the design points: three-dimensional picture. 5. Other situations that need explanation: The changing state diagram is a three-dimensional diagram of the state in which the clip is opened.

: A technique for estimating whether or not a subject has an infection from their physiology that is capable of adjusting for menstrual cycle states. The technique comprises obtaining physiological data representing one or more of the subject's physiological parameters at a first point in time, such as skin temperature and resting heart rate. The physiological data is then used to estimate the subject's menstrual state at the first point in time. In particular, the subject's menstrual state is known to impact their physiology. Both the physiological data and the estimated menstrual state are then subsequently used to estimate the subject's infection state. Specifically, the physiological data and the menstrual state are processed using a machine-learning model.

The present invention relates to the technical field of diapers, specifically a diaper suitable for use during menstruation. The diaper comprises, from top to bottom, a porous permeable layer, an intermediate layer, and a breathable base film layer; the intermediate layer comprises an upper layer, a composite core, and a lower layer; and the composite core comprises a deodorizing and antibacterial hydrogel freeze-dried material. The present invention can effectively decompose blood and blood clots, reduce menstrual blood viscosity, accelerate the downward permeation rate of menstrual blood, and thereby promote its absorption. The deodorizing and antibacterial hydrogel freeze-dried material enhances water absorption, breathability, antibacterial properties, and deodorizing properties, thereby improving the comfort of the diaper, eliminating the feeling of stuffiness and dampness, and effectively meeting the care requirements for women facing incontinence during their menstrual cycle.

The invention discloses a traditional Chinese medicine composition for treating infertility. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: red ginseng, pseudo-ginseng, fructus corni, fructus lycii, angelica sinensis, Chinese yam, poria cocos, dragon's blood, ligusticum wallichii, carthamus tinctorius, teasel root, fructus alpiniae oxyphyllae, radix cyathulae, pawpaw, cynomorium songaricum, fleece-flower root, wild gastrodia elata, combined spicebush root, hippocampus, cinnamon, semen cuscutae, eucommia ulmoides, glossy privet fruit, fenugreek, tribulus terrestris, lycium ruthenicum and native copper. , fructus rosae laevigatae and magnetite. Compared with similar medicines in the market, the traditional Chinese medicine composition can effectively improve related indexes of reproduction of patients, increase the thickness of endometrium, promote follicular development, adjust the menstrual cycle and improve the semen quality, so that the pregnancy condition is improved.

Techniques for data analysis and user guidance are provided for determining and providing one or more therapies to a user based on where the user is or will be in their menstrual cycle. In certain embodiments, a method of personalizing diabetes therapy based on information related to a user's menstrual cycle is provided. The method includes measuring blood glucose measurements of the user using a glucose monitoring system. The method also includes receiving information related to the user's menstrual cycle. The method further includes determining a therapy for the user to achieve a target blood glucose during a sub-phase or phase of the user's menstrual cycle based on at least one of historical data associated with the user and historical data associated with a stratified group.

The application discloses a preparation method of a 3D model of a maternal-fetal interface constructed by an endometrial organoid in vitro, and the method comprises the following steps: establishing a primary endometrial epithelial organoid and an endometrial stromal cell line in vitro; improving an extracellular matrix for assembling endometrial gland-like organoids and stromal cells; the constructed endometrial organoid model comprises gland cells and stromal cells; the endometrial organoid model is cultured by using a gas-liquid interface, so that the endometrial organoid model has a cavity epithelium and a gland structure; the endometrial organoid model simulates a menstrual cycle of the endometrium and performs function identification. The endometrial organoid model has the cavity epithelium and the gland epithelium for the first time, the tissue structure, the cell composition, the hormone-induced change, the gene expression characteristics of the organoid are similar to those in the body, and the organoid can reproduce the receptivity genes and the dynamicity of cilia which are necessary for embryo implantation in the body; the organoid can be used as a model for studying embryo implantation regulation, endometrial diseases and regeneration mechanisms.

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity. The system may also be used to detect other physiological states such as menstrual cycles and / or various conditions related to hydration or breathing patterns.

To provide a menstrual cycle prediction device, a menstrual cycle prediction method and a menstrual cycle prediction program that can accurately predict menstrual cycle without being affected by a user's life environment and life style.SOLUTION: A menstrual cycle prediction device comprises: an acquisition unit for acquiring temperature data including a measured value of a body temperature of a user, and pulsation data including a measured value of cardiac beats or pulses of the user; a determination unit for determining a basic cardiac rate of the user on each date on the basis of the pulsation data; a calculation unit for calculating a representative temperature, which is handled as a deep part body temperature of the user for each date, on the basis of the temperature data in a time zone corresponding to the determined basic cardiac rate; and a prediction unit for predicting information related to the menstrual cycle of the user on the basis of transition in the representative temperature.SELECTED DRAWING: Figure 3

[Technical Problem] Previously, it was not possible to predict menstrual-related information using abdominal sounds. [Technical Means] A menstrual-related information output device comprising a learning information storage unit, a sound information acquisition unit, a prediction unit, and an output unit can predict menstrual-related information using abdominal sounds from the abdomen. The learning information storage unit stores learning information consisting of two or more teaching data points, including sound information acquired from the user's abdominal sounds and menstrual-related information related to menstruation. The sound information acquisition unit acquires sound information from the user's abdominal sounds. The prediction unit applies the learning information to the sound information acquired by the sound information acquisition unit and acquires menstrual-related information. The output unit outputs the menstrual-related information acquired by the prediction unit.

The present invention relates to methods of treatment of menstrual cycle induced disorders and symptoms with cathinone, particularly methods employing 3-methyl methcathinone (3-MMC). The present invention also relates to kits comprising 3-MMC for use in the treatment of subjects suffering from menstrual cycle induced disorders and symptoms. In particular, methods and kits for therapy of menstrual cycle induced disorders and symptoms with 3-MMC for a variety of disorders and / or conditions, including PMS, PMDD and perimenstrual disorders are provided.

The invention relates to the technical field of gynaecology and obstetrics, in particular to a comprehensive treatment method for polycystic ovarian syndrome in gynaecology and obstetrics. Step 2, comprehensive treatment; step 3, performing subsequent feedback; according to the system, close cooperation of various modes such as lifestyle adjustment, drug treatment and surgical treatment is achieved, a patient can learn about specific conditions such as the weight, the menstrual cycle and the blood sugar level of the patient through professional self-management guidance, and the patient can timely and accurately feed back various conditions in the treatment process to a doctor; problems possibly existing in the treatment process can be found in time, the treatment scheme is adjusted in a targeted mode, and better and more effective treatment experience is provided for patients with the polycystic ovarian syndrome.

Provided are systems for grouping users who have chosen to participate into one of a plurality of menstrual cycle groups based on data provided by and / or collected from those users. In some examples, a wearable computing device can include one or more sensors that can measure one or more physiological signals associated with the user. Based on the physiological signals gathered from the one or more sensors, the wearable computing device can determine biometric data for one or more users. Furthermore, the wearable computing device can enable a user to submit information about their menstrual cycle (e.g., via an interactive touch screen). These factors can be used to automatically determine some menstrual cycle data for a user.

Embodiments are directed to systems and techniques for tracking menstrual cycles, which can include receiving temperature measurements from an array of temperature sensors positioned on a bed. A use period for the array can be determined when temperature measurements from at least one temperature sensor of the one or more temperature sensors exceed a first temperature threshold. In some embodiments, for each use period in a set of two or more use periods, a temperature of the user using the set of temperatures from the respective use period can be determined. After determining the temperature of the user for each use period in the set of two or more use periods, at least one change in the temperature of the user between different use periods can be identified. An ovulation day of the user based on the at least one change in the temperature of the user can be estimated.

According to some exemplary embodiments of the present disclosure, disclosed is a method for providing menstrual related information, which is performed by a computing device. The method may include: obtaining biometric information including a plurality of predetermined electrocardiogram variable information, the plurality of electrocardiogram variable information including time series data; obtaining user question and answer information corresponding to the plurality of electrocardiogram variable information; and generating, by an analysis model, menstrual cycle prediction information based on the biometric information and the user question and answer information.

The invention relates to a test cartridge for use in an analysis unit for hormone measurement, comprising at least one insertion opening for receiving a sample to be measured, in particular saliva, urine, or blood, and at least one reagent reservoir, wherein reaction reagents, in particular comprising at least one buffer medium, are stored in the at least one reagent reservoir, further comprising measuring chambers, wherein in each measuring chamber, preferably exclusively for one menstrual cycle hormone, detection reagents for the quantitative and / or qualitative detection of menstrual cycle hormones are stored, and at least one fluid path, wherein the fluid path is configured as a connection between the insertion opening and the measuring chambers and / or the reagent reservoir and the measuring chambers, wherein measuring chambers with detection reagents for three, in particular at least five, menstrual cycle hormones,preferably including at least progesterone and / or estrogen and / or follicle-stimulating hormone and / or luteinizing hormone and / or human chorionic gonadotropin.

A series of electrodes and a machine learning system are configured to detect changes in biological tissue over time. Specifically, the system may include a wearable device configured to detect changes in tissue response to an electrical signal that may be indicative of cancerous tissue, e.g., breast cancer and / or other types of cancer. The system optionally combines measurements from bioimpedance sensors, miniaturized ultrasound arrays, temperature sensors, and / or printed microwave planar antenna to detect changes in breast tissue composition and vascularity. The system may also be used to detect other physiological states such as menstrual cycles and / or various conditions related to hydration or breathing patterns.

The invention discloses a herbal formula with the effects of regulating menstruation, relieving pain, warming ovary, warming uterus and dredging qi and blood, and particularly relates to the technical field of traditional Chinese medicine conditioning, and the herbal formula comprises special decoction prescriptions for the premenstrual period, the menstruation period and the post-menstrual period and corresponding preparation processes of the decoction prescriptions. The traditional Chinese medicine composition comprises the following components by weight: 5-7g of loofah sponge, 4-6g of liquidambar formosana hance, 5-7g of rose, 7-9g of fried hawthorn, 4-6g of pericarpium citri reticulatae, 9-11g of poria cocos and 20-30g of red dates. The formula strictly adapts to the physiological characteristics and common discomfort of the menstrual cycle including the premenstrual period, the menstrual period and the post-menstrual period, staged precise intervention is achieved, the limitation of a single soup formula is broken through, meanwhile, dual repair of ovary maintenance and qi and blood nourishing is achieved, and the curative effect is good. Periodic conditioning can effectively relieve common menstrual period problems such as premenstrual swelling pain, menstrual period abdominal pain and latter menstrual period weakness, and long-term use of the traditional Chinese medicine is helpful for improving the menstrual cycle rule, so that female reproductive health is maintained from the source.

An Artificial Intelligence (AI) system trained by a plurality of training data. The AI system is trained by relationships between a time to final menstrual period and ratios between follicle-stimulating hormone levels and estradiol levels, race, cholesterol levels, and a presence of one or more contraceptives. The AI system is configured to accept data from only one sample from a user as input and generate a prediction of a time to final menstrual period for the user as output.

This invention relates to a method and system for detecting ovulation in female's menstrual cycles, which involves collecting menstrual cycle information of a subject to calculate ovulation interval dates. Daily heart rate waveform signals are used to obtain heart rate-related physiological parameters, including the first cumulative power (LF), second cumulative power (HF), standard deviation of interbeat intervals (SDNN), root mean square of successive differences (RMSSD), cumulative power ratio (LF / HF), and heart rate parameter ratio (SDNN / RMSSD). The invention selects the day with the highest cumulative power ratio (LF / HF) and heart rate parameter ratio (SDNN / RMSSD) within the ovulation interval as the day of ovulation.

To solve a widespread issue of diarrhea in modern individuals by providing a system that is built through collaboration among means that creates individual body condition graphs, calendars, and reminders such as diarrhea predictions on the basis of factors like stress, menstrual cycles and excessive drinking / excessive eating, a pharmaceutical company A, a menstrual cycle application development company B, and a medical specialist.SOLUTION: A system for displaying body condition predictions in calendar and reminder forms is built through collaboration among means that creates individual body condition graphs, calendars, and reminders such as diarrhea predictions on the basis of factors like stress, menstrual cycles and excessive drinking / excessive eating, a pharmaceutical company A, a menstrual cycle application development company B, and a medical specialist.SELECTED DRAWING: Figure 1