Ovarian health assessment method and related device

Abstract

Provided are an ovarian health assessment method and a related device, which are applied to a first electronic device. The first electronic device can: display a first interface, which comprises a first control; receive a first operation acting on the first control; acquire first data, which comprises heart rate variability data of a user within a preset time period; determine an ovarian health assessment result on the basis of user vital sign data, the user vital sign data comprising the first data, and the ovarian health assessment result being configured to indicate the ovarian health condition of the user within the preset time period; and display a second interface after the preset time period, display content of the second interface comprising the ovarian health assessment result. Using the method and the device can detect abnormalities in ovarian functions of the user in a timely manner.

Description

Ovarian health assessment methods and related equipment

[0001] This application claims priority to Chinese patent application number 202410015268.6 filed with the State Intellectual Property Office of China on January 4, 2024, and priority to Chinese patent application entitled “Ovarian Health Assessment Method and Related Equipment”, all contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of smart terminal technology, and in particular to an ovarian health assessment method and related equipment. Background Art

[0003] The ovaries are both reproductive organs and endocrine organs. The ovaries have two main functions: producing eggs and secreting sex hormones (primarily estrogen and progesterone) to ensure normal female growth and development, maintain female health, and maintain normal reproductive function. Ovarian aging is the pacemaker of female aging and the first organ in the female body to age comprehensively. Ovarian aging can cause aging of multiple other organs in the female body, leading to an increase in the incidence of osteoporosis, cardiovascular disease, Alzheimer's disease, obesity, diabetes, and other diseases, as well as a decline in fertility and reproductive quality.

[0004] The decline and eventual failure of ovarian function is an inevitable process. The average age of menopause for women is currently 51. As life expectancy increases, more and more women will spend nearly one-third of their lives post-menopausal. According to statistics, there are currently 130 million perimenopausal women in my country, and this number is expected to exceed 280 million by 2030, reaching 1.2 billion globally. For some women, due to genetic, behavioral, psychological, and immune factors, or due to other medical conditions, particularly malignant tumors, requiring treatment, their ovarian function is impaired to varying degrees. This can lead to rapid ovarian decline and the development of ovarian dysfunction disorders such as premature ovarian insufficiency, premature ovarian failure, and diminished ovarian reserve. In recent years, the incidence of ovarian dysfunction disorders has been increasing, with a younger age group. Early detection of abnormal symptoms of ovarian aging can improve the associated symptoms.

[0005] Currently, ovarian health assessments rely primarily on professional medical methods, such as blood hormone testing, ovarian biopsy sampling, ovarian CT scans, and color Doppler ultrasound examinations. These ovarian health assessment methods are costly and inconvenient, and cannot meet users' daily ovarian health assessment needs. Summary of the Invention

[0006] The embodiments of the present application provide an ovarian health assessment method and related equipment, which can promptly detect abnormal ovarian function of a user.

[0007] In a first aspect, an embodiment of the present application provides an ovarian health assessment method, which is applied to a first electronic device, the method comprising: displaying a first interface, the first interface including a first control; receiving a first operation acting on the first control; obtaining first data, the first data including heart rate variability data of a user within a preset time period; determining an ovarian health assessment result based on the user's vital sign data; the user's vital sign data including the first data; the ovarian health assessment result is used to indicate the user's ovarian health status within a preset time period; after the preset time period, displaying a second interface, the display content of the second interface including the ovarian health assessment result.

[0008] In an embodiment of the present application, the first electronic device can receive a first operation (such as a touch operation) of the user on the start detection control (i.e., the first control) of the start detection interface (i.e., the first interface) to obtain the first data. The first data includes at least the heart rate variability data of the user within a preset time period. The user's vital signs data may include the first data. The user's vital signs data can be used as a basis for the user's ovarian health assessment, and the ovarian health assessment result can be determined based on the user's vital signs data. In the present application, the user's ovarian health can be assessed based on the user's heart rate variability data, without the need to assess the user's ovarian health based on endocrine testing, providing a portable, low-cost ovarian health assessment solution. Furthermore, after the preset time period, a test result interface can be displayed on the first electronic device, and the display content of the test result interface includes the ovarian health assessment result. By displaying the user's ovarian health assessment result on the first electronic device, the user's ovarian function abnormalities can be detected in a timely manner. If the symptoms of abnormal ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved.

[0009] In some embodiments, a first electronic device is connected to N second electronic devices, where N is an integer greater than 0. After the first electronic device receives a first operation acting on a first control, the method further includes: receiving second data sent by M second electronic devices among the N second electronic devices; the user vital sign data also includes the second data.

[0010] In an embodiment of the present application, when a first electronic device is connected to N second electronic devices, the first electronic device can also obtain second data from some or all of the N second electronic devices; thus, the user's vital sign data can include the first data and the second data. This user's vital sign data can serve as the basis for the user's ovarian health assessment, that is, the ovarian health assessment result can be determined based on the user's vital sign data. In this application, the advantages of multi-device collaboration can be fully utilized, and multiple smart devices can be coordinated to provide more comprehensive monitoring of various body indicators, achieving a multi-dimensional and comprehensive ovarian health assessment, and improving the accuracy of the ovarian health assessment results.

[0011] In some embodiments, the second data includes one or more of the following: blood pressure data of the user within a preset time period, body fat data of the user within a preset time period, emotional data of the user within a preset time period, and skin temperature data of the user within a preset time period.

[0012] In an embodiment of the present application, the second data includes one or more of the user's blood pressure data within a preset time period, the user's body fat data within a preset time period, the user's emotional data within a preset time period, and the user's skin temperature data within a preset time period; and the user's vital sign data may include more data related to the user's vital signs. The user's vital sign data can serve as the basis for the user's ovarian health assessment, that is, the ovarian health assessment result can be determined based on the user's vital sign data. In this application, the advantages of multi-device collaboration can be fully utilized, and multiple smart devices can be coordinated to provide more comprehensive monitoring of various body indicators, realize multi-dimensional and comprehensive ovarian health assessment, and improve the accuracy of ovarian health assessment results.

[0013] In some embodiments, the method further includes: displaying a third interface, wherein the display content of the third interface includes user questionnaire questions; receiving user input operations on the third interface, and determining questionnaire results; the user vital sign data also includes questionnaire data.

[0014] In an embodiment of the present application, the first electronic device may further display a user questionnaire interface (i.e., a third interface), and the user may input the questionnaire results in the user questionnaire interface. The first electronic device may receive the user's input operation on the user questionnaire interface, and then may determine the ovarian health assessment result based on the user's physical data and the user information (i.e., the questionnaire results) input by the user. The content of the questionnaire may include but is not limited to osteoporosis symptoms, emotional state, etc. In this application, a questionnaire survey may be combined to collect data from users in more dimensions, including but not limited to osteoporosis symptoms, emotional state, etc., which may be used together as a basis for ovarian health assessment, to achieve a multi-dimensional and comprehensive ovarian health assessment, and to improve the accuracy of the ovarian health assessment results.

[0015] In some embodiments, determining the ovarian health assessment result based on the user's vital signs data includes: obtaining user information, the user information including one or more of the user's medication, alcohol consumption, medical history, and sleeping environment temperature; and determining the ovarian health assessment result based on the user information and the user's vital signs data.

[0016] In an embodiment of the present application, user information can be obtained, and the user information may include but is not limited to information such as the user's medication, drinking, medical history, and sleeping environment temperature. Optionally, the user's vital signs data can be preprocessed according to the user information to determine the preprocessed user's vital signs data, and then the user's ovarian health can be evaluated based on the preprocessed user's vital signs data. In an embodiment of the present application, considering that some of the data in the acquired user's vital signs data may have abnormal fluctuations, if directly used, it will lead to a decrease in the accuracy of subsequent feature extraction, affecting the accuracy of ovarian function assessment. Therefore, data denoising and interference removal operations can be performed on the user's vital signs data according to the user information, effectively improving the accuracy of feature extraction and improving the accuracy of ovarian health assessment. Optionally, user information can also be obtained, and the ovarian health assessment results can be determined based on the user information and user's vital signs data, to achieve a multi-dimensional and comprehensive ovarian health assessment and improve the accuracy of the ovarian health assessment results.

[0017] In some embodiments, the first data also includes one or more of the following: the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, and the user's skin temperature data within a preset time period; the method also includes: obtaining one or more of the heart rate data, respiratory rate data, and skin temperature data; when one or more of the heart rate data, respiratory rate data, and skin temperature data meet the first condition, displaying a fourth interface, the fourth interface including a third control and a fourth control, the third control is used for the user to confirm that a hot flash is currently occurring, and the fourth control is used for the user to confirm that a hot flash is not currently occurring; receiving the user's operation on the third control or the fourth control.

[0018] In an embodiment of the present application, when one or more of the heart rate data, respiratory rate data, and skin temperature data meets a first condition, it can be determined that the user has experienced a hot flash, and the first electronic device can then display a hot flash confirmation interface, i.e., a fourth interface. The hot flash confirmation interface includes two preset controls, which can be a third control and a fourth control. The third control can be used by the user to confirm that a hot flash is currently occurring, and the fourth control can be used by the user to confirm that a hot flash is not currently occurring. The first electronic device receives user input on the hot flash confirmation interface. In an embodiment of the present application, a user positive feedback mechanism can be designed. For example, when a hot flash detection algorithm detects a hot flash, the user can be prompted to confirm whether a hot flash has occurred. This can optimize the ovarian assessment results based on the user's hot flash data, thereby improving the accuracy of the ovarian function assessment and enhancing the individual user interaction experience.

[0019] In some embodiments, the first condition is that a data change amplitude of one or more of the heart rate data, respiratory rate data, and skin temperature data in a first time interval within a preset time period is greater than or equal to a first preset threshold.

[0020] In the embodiment of the present application, the first time interval is a time interval within a preset time period, such as 5 minutes. When it is detected that one or more of the user's heart rate data, respiratory rate data, and skin temperature data fluctuates significantly within a short period of time, it can be determined that the user has a hot flash.

[0021] In some embodiments, determining the ovarian health assessment result based on the user's physical sign data includes: determining target data based on the user's physical sign data; and determining the ovarian health assessment result based on the target data and an ovarian function assessment model.

[0022] In an embodiment of the present application, the target data can be the input data of the ovarian function assessment model. The user's vital sign data can be processed first, and then the processed data can be input into the ovarian function assessment model, so that the ovarian health assessment result can be determined. There is no need to assess the user's ovarian health based on endocrine testing, providing a portable, low-cost ovarian health assessment solution.

[0023] In some embodiments, determining target data based on user vital sign data includes: determining the user's symptom information based on the user's vital sign data, the symptom information including the user's hot flash frequency and autonomic nervous function level within a preset time period; and determining target data based on the symptom information.

[0024] In an embodiment of the present application, the user symptom index (which can be used as symptom information) can be first determined based on the multiple physical sign indicators included in the user's physical sign data. For example, the user's hot flash frequency and the autonomic nervous function level can be detected based on the various physical sign indicators in the user's physical sign data. Furthermore, the target data can be determined based on the various indicators included in the user's symptom index. In an embodiment of the present application, the original input data is converted into symptoms of different dimensions caused by ovarian dysfunction, and features that can be directly used for ovarian function assessment are determined, so as to facilitate a more accurate assessment of the user's ovarian health.

[0025] In some embodiments, the method further includes: obtaining user physical examination data, the user physical examination data including the user's anti-Mullerian hormone test results and / or follicle-stimulating hormone test results; and adjusting parameters in the ovarian function assessment model based on the user's physical examination data.

[0026] In an embodiment of the present application, user physical examination data can be obtained, and the user physical examination data may include but is not limited to anti-Mullerian hormone (AMH) test results and follicle-stimulating hormone (FSH) test results. The ovarian function assessment model can be optimized based on the user physical examination data, such as adjusting the parameter threshold in the ovarian function assessment model. In an embodiment of the present application, by obtaining the user's corresponding hormone level information and using the ovarian health corresponding to the hormone level as the gold standard for the user's current ovarian health, the parameter threshold in the ovarian function assessment model can be optimized, thereby improving the accuracy of subsequent detection.

[0027] In some embodiments, the first data further includes sleep parameters of the user within a preset time period.

[0028] In an embodiment of the present application, the first data also includes the user's sleep parameters within a preset time period, thereby achieving a multi-dimensional and comprehensive ovarian health assessment and improving the accuracy of the ovarian health assessment results.

[0029] In some embodiments, the N second electronic devices include a smart speaker, and the method further includes: within a preset time period, determining whether the user's sleep quality is lower than a second preset threshold based on sleep parameters; if it is lower than the second preset threshold, sending first information to the smart speaker; the first information is used to instruct the smart speaker to play the target audio.

[0030] In an embodiment of the present application, the first electronic device can also be linked to the smart home to adjust the user's spatial environment. For example, when it detects that the sleep quality is poor, the first electronic device can be linked to the smart speaker to play soothing music before / during the user's bedtime to improve the sleep quality.

[0031] In some embodiments, the N second electronic devices include a smart air conditioner, and the method further includes: predicting a target time when the user will experience hot flashes within a preset time period, and sending second information to the smart air conditioner before the target time; the second information is used to instruct the smart air conditioner to adjust to the target temperature.

[0032] In an embodiment of the present application, the first electronic device can also cooperate with the smart home to adjust the user's spatial environment, such as intelligently adjusting the air-conditioning temperature when hot flashes are predicted, to relieve the user's hot flash symptoms.

[0033] In some embodiments, the method further includes: uploading the ovarian health assessment results to a cloud server; the cloud server is used to determine care prompt information based on the ovarian health assessment results, and send the care prompt information to a third electronic device, and the third electronic device is bound to the first electronic device as a first relationship; the third electronic device is used to display a fifth interface, and the display content of the fifth interface includes the care prompt information.

[0034] In an embodiment of the present application, the first electronic device can also be linked to family devices (i.e., the third electronic device) to provide care for relatives and friends, such as pushing notifications to relatives and friends about possible physical discomfort, emotional fluctuations, etc. that the user may experience, so that relatives and friends can prepare in advance, provide more care, avoid emotional conflicts, and reduce the user's discomfort.

[0035] In a second aspect, an electronic device is provided, comprising: a memory and one or more processors; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute a method as in the first aspect or any one of the embodiments of the first aspect.

[0036] In a third aspect, a computer-readable storage medium is provided, comprising instructions, which, when executed on an electronic device, cause the electronic device to execute the method of the first aspect or any one of the embodiments of the first aspect.

[0037] In a fourth aspect, a computer program product is provided. When the computer program product is run on a computer, the computer is caused to execute the method of the first aspect or any one of the embodiments of the first aspect.

[0038] In a fifth aspect, a chip system is provided, comprising at least one processor for implementing the method of the first aspect or any one of the embodiments of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] FIG1a is a schematic structural diagram of an electronic device provided in an embodiment of the present application.

[0040] FIG1 b is a software structure block diagram of the electronic device 100 according to an embodiment of the present application.

[0041] FIG1 c is another software structure block diagram of the electronic device 100 according to an embodiment of the present application.

[0042] FIG2 is a schematic diagram of an ovarian health assessment system provided in an embodiment of the present application.

[0043] Figures 3a-3i are schematic diagrams of a group of user interfaces displayed on the first electronic device provided in an embodiment of the present application.

[0044] Figures 4a-4e are schematic diagrams of a group of user interfaces displayed on a second electronic device provided in an embodiment of the present application.

[0045] FIG5 is a schematic diagram of a user interface displayed on a third electronic device provided in an embodiment of the present application.

[0046] FIG6 is a flow chart of an ovarian health assessment method provided in an embodiment of the present application.

[0047] FIG7 is a flow chart of another ovarian health assessment method provided in an embodiment of the present application.

[0048] FIG8 is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application.

[0050] The terms "first," "second," "third," and "fourth," etc., in the specification and claims of this application and the accompanying drawings are used to distinguish between different objects, rather than to describe a specific order. In addition, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0051] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0052] The ovarian health assessment method provided in the embodiments of the present application can be applied to electronic devices. At present, some examples of electronic devices include: smart phones, tablet computers, laptop computers, PDAs, mobile internet devices (MIDs), wearable devices (such as smart watches), virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, wireless terminals in self-driving cars, wireless terminals in remote medical surgery, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication capabilities, computing devices or other processing devices connected to wireless modems, in-vehicle devices, wearable devices, terminal devices in 5G networks or future evolved public land mobile communication networks (PLMNs). The terminal equipment in the network (PLMN), etc., is not limited to this in the embodiments of the present application.

[0053] Before introducing the method provided by the embodiment of the present application in detail, the electronic device provided by the embodiment of the present application is first introduced.

[0054] FIG. 1 a shows a schematic structural diagram of an electronic device 100 .

[0055] The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a button 190, a motor 191, an indicator 192, a camera module 193, a display screen 194, and a subscriber identification module (SIM) card interface 195, etc.

[0056] Among them, the sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, etc. The sensor module 180 may also include an optical heart rate sensor not shown in FIG. 1a .

[0057] Pressure sensor 180A is used to sense pressure signals and convert them into electrical signals. In some embodiments, pressure sensor 180A can be located on display screen 194. There are many types of pressure sensors 180A, such as resistive, inductive, and capacitive. A capacitive pressure sensor can include at least two parallel plates made of conductive material. When force is applied to pressure sensor 180A, the capacitance between the electrodes changes. Electronic device 100 determines the intensity of the pressure based on this change in capacitance. When a touch operation is applied to display screen 194, electronic device 100 detects the touch intensity based on pressure sensor 180A. Electronic device 100 can also calculate the touch location based on the detection signal from pressure sensor 180A. In some embodiments, touch operations applied to the same touch location but with different touch intensities can correspond to different operation instructions. For example, when a touch operation with an intensity less than a first pressure threshold is applied to a short message application icon, an instruction to view short messages is executed. When a touch operation with an intensity greater than or equal to the first pressure threshold is applied to a short message application icon, an instruction to create a new short message is executed.

[0058] The gyroscope sensor 180B can be used to determine the motion posture of the electronic device 100. In some embodiments, the angular velocity of the electronic device 100 around three axes (i.e., x, y, and z axes) can be determined by the gyroscope sensor 180B. The gyroscope sensor 180B can be used for anti-shake shooting. For example, when the shutter is pressed, the gyroscope sensor 180B detects the angle of the electronic device 100 shaking, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shaking of the electronic device 100 through reverse movement to achieve anti-shake. The gyroscope sensor 180B can also be used for navigation and somatosensory game scenes.

[0059] The air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude using the air pressure value measured by the air pressure sensor 180C to assist in positioning and navigation.

[0060] The magnetic sensor 180D includes a Hall sensor. The electronic device 100 can use the magnetic sensor 180D to detect the opening and closing of the flip case. In some embodiments, when the electronic device 100 is a flip phone, the electronic device 100 can detect the opening and closing of the flip cover based on the magnetic sensor 180D. Based on the detected opening and closing status of the case or flip cover, features such as automatic unlocking of the flip cover can be configured.

[0061] Accelerometer 180E can detect the magnitude of acceleration of electronic device 100 in all directions (generally three axes). When electronic device 100 is stationary, it can detect the magnitude and direction of gravity. It can also be used to identify the posture of electronic device 100, enabling applications such as switching between landscape and portrait modes and pedometers.

[0062] The distance sensor 180F is used to measure distance. The electronic device 100 can measure distance using infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 can use the distance sensor 180F to measure distance to achieve fast focusing.

[0063] The proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 100 emits infrared light outward through the light emitting diode. The electronic device 100 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100. When insufficient reflected light is detected, the electronic device 100 can determine that there is no object near the electronic device 100. The electronic device 100 can use the proximity light sensor 180G to detect that the user is holding the electronic device 100 close to the ear to talk, so as to automatically turn off the screen to save power. The proximity light sensor 180G can also be used in leather case mode and pocket mode to automatically unlock and lock the screen.

[0064] Ambient light sensor 180L is used to sense ambient light brightness. Electronic device 100 can adaptively adjust the brightness of display screen 194 based on the perceived ambient light. Ambient light sensor 180L can also be used to automatically adjust white balance when taking photos. Ambient light sensor 180L can also work with proximity light sensor 180G to detect whether electronic device 100 is in a pocket to prevent accidental touches.

[0065] The fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to implement fingerprint unlocking, access application locks, fingerprint photography, fingerprint call answering, etc.

[0066] The temperature sensor 180J is used to detect temperature. In some embodiments, the electronic device 100 uses the temperature detected by the temperature sensor 180J to execute a temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of the processor located near the temperature sensor 180J to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to avoid abnormal shutdown of the electronic device 100 due to low temperature. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 boosts the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature. In an embodiment of the present application, the temperature sensor 180J can detect the user's skin temperature to obtain the user's skin temperature data.

[0067] The touch sensor 180K is also called a "touch panel." The touch sensor 180K can be disposed on the display screen 194. The touch sensor 180K and the display screen 194 form a touch screen, also called a "touch screen." The touch sensor 180K is used to detect touch operations applied thereto or in the vicinity thereof. The touch sensor can transmit the detected touch operations to the application processor to determine the type of touch event. Visual output related to the touch operations can be provided via the display screen 194. In other embodiments, the touch sensor 180K can also be disposed on the surface of the electronic device 100, in a location different from that of the display screen 194.

[0068] The bone conduction sensor 180M can acquire vibration signals. In some embodiments, the bone conduction sensor 180M can acquire vibration signals from the vibrating bones of the human body's vocal cords. The bone conduction sensor 180M can also contact the human pulse to receive blood pressure signals. In some embodiments, the bone conduction sensor 180M can also be set in headphones to form bone conduction headphones. The audio module 170 can parse the vibration signals of the vibrating bones of the vocal cords acquired by the bone conduction sensor 180M to obtain voice signals and implement voice functions. The application processor can parse heart rate information based on the blood pressure signals acquired by the bone conduction sensor 180M to implement heart rate detection functions.

[0069] The optical heart rate sensor is one of the more popular sensors for heart rate detection in smart wearable devices. It uses electro-photosolvable pulse wave graphy (PPG) to measure heart rate and other biometric indicators. Measurement principle: The light of a capacitor is directed to the skin, and the light reflected back through the skin tissue is received by the photosensor and converted into an electrical signal, which is then converted into a digital signal, and the heart rate is calculated based on the absorbance of the blood. In the embodiment of the present application, the optical heart rate sensor can detect the user's heart rate, respiratory rate, heart rate variability, etc. to obtain the user's heart rate data, respiratory rate data, heart rate variability data, and sleep status indicator data.

[0070] In an embodiment of the present application, the optical heart rate sensor, acceleration sensor 180E, gyroscope sensor 180B and other sensors can jointly detect the user's sleep score, the number of times the user is awake during sleep (i.e., detecting sleep status indicators), etc., to obtain the user's sleep status indicator data.

[0071] In some embodiments, the electronic device 100 may further include an airbag, which may assist in blood pressure monitoring.

[0072] It should be understood that the structures illustrated in the embodiments of the present application do not constitute a specific limitation on the electronic device 100. In other embodiments of the present application, the electronic device 100 may include more or fewer components than shown, or may combine or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0073] The processor 110 may include one or more processing units. For example, the processor 110 may include an application processor (AP), a central processing unit (CPU), a graphics processing unit (GPU), a neural-network processing unit (NPU), a modem processor, an image signal processor (ISP), a controller, a memory, a video codec, a digital signal processor (DSP), a baseband processor, etc. Different processing units may be independent devices or integrated into one or more processors.

[0074] The controller may be the nerve center and command center of the electronic device 100. The controller may generate an operation control signal according to the instruction operation code and the timing signal to complete the control of fetching and executing instructions.

[0075] Processor 110 may also include a memory for storing instructions and data. In some embodiments, the memory in processor 110 is a cache memory. This memory can store instructions or data that have just been used or are being recycled by processor 110. If processor 110 needs to use the instruction or data again, it can directly access the memory. This avoids repeated accesses, reduces the waiting time of processor 110, and thus improves the efficiency of electronic device 100.

[0076] Display screen 194 is used to display user interfaces, images, videos, and the like. Display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a MiniLED, a MicroLED, a Micro-oLed, or a quantum dot light-emitting diode (QLED).

[0077] The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100. The external memory card communicates with the processor 110 via the external memory interface 120 to implement data storage. For example, data such as a user's vital signs data and images can be stored on the external memory card.

[0078] The internal memory 121 can be used to store one or more computer programs, which include instructions. The processor 110 can execute the above instructions stored in the internal memory 121, so that the electronic device 100 performs the ovarian health assessment method provided in some embodiments of the present application, as well as various functional applications and data processing. The internal memory 121 may include a program storage area and a data storage area. The program storage area may store an operating system; the program storage area may also store one or more applications (such as Huawei Health, contacts, etc.). The data storage area may store data created during the use of the electronic device 100 (such as user's vital signs data, etc.). In addition, the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0079] The electronic device 100 exemplarily shown in FIG1a can display the various user interfaces described in the following embodiments through the display screen 194. The electronic device 100 can detect touch operations in various user interfaces through the touch sensor 180K, such as click operations in various user interfaces (such as touch operations on icons, double-click operations), and for example, upward or downward sliding operations in various user interfaces, or operations of performing circle gestures, etc. In some embodiments, the electronic device 100 can detect motion gestures performed by the user holding the electronic device 100, such as shaking the electronic device, through a gyroscope sensor 180B, an acceleration sensor 180E, etc. In some embodiments, the electronic device 100 can detect non-touch gesture operations through a camera module 193 (such as a 3D camera).

[0080] The software system of the electronic device 100 can adopt a layered architecture, an event-driven architecture, a micro-kernel architecture, a micro-service architecture, or a cloud architecture. In the embodiment of the present application, the Android system with a layered architecture is used as an example to illustrate the software structure of the electronic device 100.

[0081] FIG1 b is a software structure block diagram of the electronic device 100 according to an embodiment of the present application.

[0082] A layered architecture divides software into several layers, each with distinct roles and responsibilities. Layers communicate with each other through software interfaces. In some embodiments, the Android system is divided into four layers: the application layer, the application framework layer, the Android runtime and system libraries, and the kernel layer.

[0083] The application layer can include a series of application packages.

[0084] As shown in Figure 1b, the application package may include Huawei Health, Camera, Gallery, Calendar, Call, Navigation, WLAN, Bluetooth, Music, Video, Short Message and other applications.

[0085] Among them, the Huawei Health application can provide one or more functions, one or more of which include at least the ovarian health assessment function provided by this application, which can promptly detect abnormal ovarian function of users. The Huawei Health application can receive user interactive operations on the user interface, such as the user filling out a questionnaire, the user importing an examination report, the user viewing the ovarian assessment results, etc. The ovarian health assessment function of the Huawei Health application has been clearly introduced here and in the subsequent method embodiments. Its name does not constitute a limitation of this application. For example, the Huawei Health application can also be called "Health", "Ovarian Health Monitoring", etc., which are not limited here.

[0086] The application framework layer provides an application programming interface (API) and programming framework for applications in the application layer. The application framework layer includes some predefined functions.

[0087] As shown in FIG1b , the application framework layer may include a window manager, a content provider, a view system, a telephony manager, a resource manager, a notification manager, and the like.

[0088] The window manager is used to manage window programs. The window manager can obtain the display size, determine whether there is a status bar, lock the screen, take screenshots, etc.

[0089] Content providers are used to store and retrieve data and make it accessible to applications. The data may include user's vital signs, images, videos, audio, calls made and received, browsing history and bookmarks, phone book, etc.

[0090] Among them, the user's vital sign data (also known as user physiological data) may include but is not limited to skin temperature, heart rate, respiratory rate, heart rate variability, sleep status indicators, blood pressure, body fat, emotions, etc. within a preset time period of the user.

[0091] The view system includes visual controls, such as those for displaying text and images. The view system is used to build applications. A display interface can consist of one or more views. For example, a display interface containing a text notification icon might include a view for displaying text and a view for displaying images.

[0092] The phone manager is used to provide communication functions of the electronic device 100, such as management of call status (including answering, hanging up, etc.).

[0093] The resource manager provides various resources for applications, such as localized images, strings, icons, layout files, video files, and so on.

[0094] The Notification Manager allows applications to display notifications in the status bar. These messages can be displayed briefly and then disappear automatically without user interaction. For example, the Notification Manager is used to notify users of completed downloads and message reminders. The Notification Manager can also display notifications in the top status bar of the system as icons or scrolling text, such as notifications from background applications, or as dialog windows on the screen. Examples include text messages in the status bar, beeps, vibrations on electronic devices, and flashing indicator lights.

[0095] Android Runtime includes core libraries and a virtual machine. Android runtime is responsible for scheduling and management of the Android system.

[0096] The core library consists of two parts: one is the function that needs to be called by the Java language, and the other is the Android core library.

[0097] The application layer and application framework layer run in a virtual machine. The virtual machine executes Java files in the application layer and application framework layer as binary files. The virtual machine manages object lifecycles, stack management, thread management, security and exception management, and garbage collection.

[0098] The system library can include multiple functional modules, such as a surface manager, media libraries, a 3D engine module (e.g., OpenGL ES), a 2D graphics engine (e.g., SGL), and an ovarian health assessment module.

[0099] The surface manager is used to manage the display subsystem and provide fusion of 2D and 3D layers for multiple applications.

[0100] The media library supports playback and recording of a variety of common audio and video formats, as well as static image files. The media library can support a variety of audio and video encoding formats, such as: MPEG4, G.264, MP3, AAC, AMR, JPG, PNG, etc.

[0101] 3D engine module, used to implement three-dimensional graphics drawing, image rendering, synthesis, and layer processing.

[0102] A 2D graphics engine is a drawing engine for 2D drawings.

[0103] The ovarian health assessment module is used to obtain the user's physical sign data and analyze and process it according to the ovarian assessment model to determine the ovarian health assessment results, thereby promptly detecting abnormal ovarian function in the user. This will be further explained later and is not detailed here.

[0104] The kernel layer is the layer between hardware and software. The kernel layer includes at least display driver, camera driver, audio driver, and sensor driver.

[0105] Figure 1c is another software structure block diagram of the electronic device 100 according to an embodiment of the present application. In some embodiments, the software architecture may include a data acquisition module, a signal processing and feature extraction module, and an ovarian function assessment module.

[0106] The data acquisition module can obtain user vital signs data through smart watches, rings, bracelets and other devices, such as skin temperature data, heart rate data, respiratory rate data, heart rate variability data, sleep status indicator data (sleep score, number of awakenings, etc.), etc., which can be used to determine hot flashes, evaluate autonomic nervous function levels, and physiological data of sleep disorders. It can also be combined with questionnaires to collect more dimensional data of users, including but not limited to osteoporosis symptoms, emotional state, etc. The data obtained by the data acquisition module can be used to evaluate the user's ovarian function.

[0107] The signal processing and feature extraction module can analyze and process the data obtained in the data acquisition module. For example, it can calculate the frequency of hot flashes of users based on skin temperature, heart rate, and respiratory rate parameters, calculate the level of autonomic nervous function based on heart rate variability-related parameters, calculate the level of insomnia based on sleep monitoring indicators, and calculate the comprehensive symptom severity score based on questionnaire input, etc. It can convert the original input data into symptom characteristics of different dimensions caused by ovarian function decline and determine the characteristics that can be directly used for ovarian function assessment.

[0108] The ovarian function assessment module can perform ovarian function assessment based on the multi-dimensional features output by the signal processing and feature extraction module to determine the ovarian health assessment result. Optionally, the ovarian health assessment result can be: low risk of ovarian function decline, high risk. Optionally, the ovarian health assessment result can be further divided into medium risk, high risk, etc. based on the severity. The ovarian health assessment result is used to indicate the user's ovarian health status within a preset time period. The form of the ovarian health assessment result is not specifically limited in this application.

[0109] In some embodiments, the software architecture may include a data acquisition module and an ovarian function assessment module. The data acquisition module may acquire user vital sign data, such as skin temperature, heart rate, respiratory rate, heart rate variability, and sleep status indicator data (sleep score, number of awake times, etc.), through devices such as smart watches, rings, and bracelets. The ovarian function assessment module may directly determine the user's ovarian health assessment results based on the user's vital sign data acquired by the data acquisition module.

[0110] Please refer to Figure 2, which is a schematic diagram of an ovarian health assessment system provided in an embodiment of the present application. The ovarian health assessment system in the figure includes a first electronic device and N second electronic devices, where N is an integer greater than or equal to 0. The first electronic device is the electronic device 100 mentioned above. The first electronic device can be a wearable device or other device capable of measuring a user's physiological data. For example, the first electronic device can be a smart watch or a smart bracelet. The device connected to the first electronic device can be referred to as a second electronic device. Each of the N second electronic devices connected to the first electronic device can also include some or all of the functions of the electronic device 100 described above. The N second electronic devices can include terminals and / or smart home devices. For example, the N second electronic devices can include smartphones, smart speakers, body fat scales, air conditioners, blood pressure monitors, etc. It is understood that the first electronic device can be directly connected to the second electronic device or indirectly connected to the second electronic device. It is also understood that the first electronic device can be indirectly connected to the second electronic device through another device, in which case the first electronic device can send information to the second electronic device through the other device. The connection between the first and second electronic devices can be established using wireless connection technology or a wired connection. Wireless connection technologies may include wireless fidelity (Wi-Fi), Bluetooth, ZigBee, or Near Link, and are not specifically limited in this application. It should be noted that the connection methods between the first electronic device and different second electronic devices may be the same or different, and are not specifically limited in this application.

[0111] When N is an integer greater than 0, the ovarian health assessment system includes at least one second electronic device. Some or all of the N second electronic devices can function as data acquisition devices to collect user vital sign data; some or all of the N second electronic devices can function as service provision devices to provide services. Services may include music playback services, temperature adjustment services, video playback services, and the like.

[0112] The first electronic device can obtain the user's vital signs data (also referred to as the user's physiological parameters) to evaluate the user's ovarian function. The user's vital signs data may include skin temperature, heart rate, respiratory rate, heart rate variability, sleep state index, blood pressure, body fat, mood, etc. within a preset time period of the user. Some or all of the user's vital signs data can be obtained by sensors on the first electronic device. Optionally, some of the user's vital signs data can be obtained by sensors on N second electronic devices. Optionally, the first electronic device can also obtain data input by the user and evaluate the user's ovarian function based on the user's vital signs data and the user's input data. After the first electronic device determines the user's ovarian health assessment result (such as the user's ovarian health level), the ovarian health assessment result can be output and fed back to the user so that the user can detect ovarian dysfunction in a timely manner.

[0113] Optionally, the first electronic device can also provide users with intelligent solutions based on the results of the ovarian health assessment. While promptly detecting the user's ovarian dysfunction, it can also provide targeted solutions to alleviate related symptoms in the ovarian aging process, or help slow down the speed of ovarian aging and improve user experience.

[0114] For example, the intelligent solution may include knowledge push on the first electronic device and / or the second electronic device, such as pushing knowledge related to diet, scientific exercise, healthy living, and improving sleep, to help users establish a good life, diet, exercise, etc. When the ovarian health assessment system includes N second electronic devices, the intelligent solution may also include linkage with smart home. For example, when the first electronic device predicts that the user will have hot flashes, it can intelligently adjust the air conditioning temperature and indoor humidity to relieve the user's hot flash symptoms; when the user's sleep quality is poor, soothing music can be played through the smart speaker before or during the user's sleep to improve sleep quality. This will be further explained later and will not be repeated here.

[0115] It is understandable that the ovarian health assessment system in FIG2 is only some exemplary implementations provided by the embodiments of the present invention. The ovarian health assessment system in the embodiments of the present invention includes but is not limited to the above implementations.

[0116] The following describes the user interface provided by the embodiments of the present application.

[0117] Figures 3a-3i are schematic diagrams of a group of user interfaces displayed on a first electronic device provided in an embodiment of the present application. The following description will be made using the first electronic device as a smart watch.

[0118] As shown in FIG3a , the user interface 20 displays one or more application icons installed on the first electronic device. For example, the user interface 20 displays an ovarian health application control 201, weather, calendar, clock, photo album, text messages, settings, and email. The user interface 20 may also display exercise time records, heart rate measurement, temperature measurement, sleep monitoring, respiratory rate monitoring, etc., which are not shown in FIG3a .

[0119] As shown in Figure 3a, the first electronic device can receive a user's touch operation on the ovarian health application control 201 icon of the user interface 20 (i.e., an operation to open the ovarian health assessment application), start the ovarian health assessment application, and display the user interface 21 shown in Figure 3b on the display screen of the first electronic device. The user interface 21 may include a start detection control 211.

[0120] As shown in Figure 3b, the first electronic device can receive the user's touch operation on the start detection control 211 of the user interface 21, and then the first electronic device can monitor various physical indicators of the user. The first electronic device can also link N second electronic devices to monitor various physical indicators of the user, and then the first electronic device can obtain the user's physical sign data to evaluate the user's ovarian function. The user's physical sign data may include but is not limited to the user's skin temperature, heart rate, respiratory rate, heart rate variability, sleep status indicators, blood pressure, body fat, mood and other data within a preset time period.

[0121] As shown in FIG3 c , the user interface 22 may include questionnaire content and one or more preset controls. The questionnaire content may include one or more questions. When the questionnaire content may include multiple questions, the multiple questions may be displayed one by one on the user interface 22 .

[0122] As shown in (a) of FIG3c , the user interface 22 may display questionnaire questions, such as “How often do you experience mood swings recently?”, and three preset controls, which may correspond to “None,” “Occasionally (≤x times per day),” and “Frequently (>x times per day),” respectively. Here, x is a preset threshold. The first electronic device receives a user touch operation on one of the three preset controls on the user interface 22, records the information corresponding to the preset control selected by the user as a questionnaire result input by the user, and may display the next questionnaire question on the user interface 22.

[0123] As shown in (b) of Figure 3c, the user interface 22 may display questionnaire questions, such as "How often do you have bone and joint pain recently?", and three preset controls, which correspond to "None", "Occasionally (≤y times a day)", and "Frequently (>y times a day)", respectively. y is a preset threshold. The first electronic device receives a user's touch operation on one of the three preset controls of the user interface 22, records the information corresponding to the preset control selected by the user as the questionnaire result input by the user, and may display the next questionnaire question on the user interface 22.

[0124] As shown in (c) in Figure 3c, the user interface 22 may display questionnaire questions, such as "Is your menstrual period regular recently?", and two preset controls, which correspond to "regular" and "irregular" respectively. The first electronic device receives a touch operation by the user on one of the two preset controls of the user interface 22, records the information corresponding to the preset control selected by the user as the questionnaire result input by the user, and displays the next questionnaire question on the user interface 22. If there are no new questionnaire questions, the questionnaire can be ended. It can be understood that the number of preset controls on the user interface 22 can be preset according to the questionnaire questions, and is not specifically limited in this application.

[0125] In some embodiments, the first electronic device can assess the user's ovarian function based on the acquired user vital sign data and the user-entered questionnaire results, enabling more accurate and timely detection of abnormalities in the user's ovarian function. The method for assessing the user's ovarian function will be further described later and is not detailed here.

[0126] After a preset time period, the first electronic device can receive a user touch operation on the ovarian health application control 201 icon of the user interface 20 (i.e., an operation to open the ovarian health assessment application), restart the ovarian health assessment application, and display the user interface 23 as shown in Figure 3d on the display screen of the first electronic device. The user interface 23 may include the ovarian health assessment results.

[0127] As shown in (a) in Figure 3d, after the first electronic device evaluates the user's ovarian function based on the user's physical sign data, if the evaluation result is that the user has a low risk of ovarian decline, a prompt message of a low risk of ovarian decline can be displayed on the user interface 23, such as "Your risk of ovarian function decline is low, please continue to maintain it."

[0128] As shown in (b) of Figure 3d, after the first electronic device assesses the user's ovarian function based on the user's vital sign data, if the assessment result indicates that the user has a high risk of ovarian decline, a prompt message indicating a high risk of ovarian decline may be displayed on the user interface 23, such as "Your risk of ovarian function decline is high." Optionally, the prompt message may also include "Click to view related improvement suggestions." The user interface 23 also includes a preset control 231. The first electronic device may receive a user touch operation on the preset control 231 of the user interface 23, and the user interface 24 shown in Figure 3e may be displayed on the display screen of the first electronic device.

[0129] As shown in (a) of Figure 3e, the user interface 24 includes knowledge push content, which is determined based on the user's ovarian assessment results. The knowledge push content may be "Appropriate XX exercise, combination of XX ingredients, and adoption of XX lifestyle can improve your ovarian health."

[0130] As shown in (b) of Figure 3e, when the first electronic device is connected to N second electronic devices, the N second electronic devices include a smart home, such as a speaker, and the user interface 24 may include linkage information for the smart home. The linkage information for the smart home may be a prompt indicating whether to link the smart home. For example, the user interface 24 displays a prompt "I have recommended sleep-aiding audio for you. Do you want to play it for you?" The user interface 24 may also include two preset controls, which correspond to "yes" and "no" respectively. The first electronic device receives a user's touch operation on one of the two preset controls of the user interface 24. If the preset control selected by the user corresponds to "yes", the first electronic device may instruct the speaker to play the recommended audio. The first electronic device links the smart home to change the user environment based on the user's ovarian assessment results, thereby improving the user's ovarian health and enhancing the user experience.

[0131] In some embodiments, when the first electronic device determines that the user's sleep quality is poor, the first electronic device can automatically play audio to improve the user environment, assist the user in falling asleep, and enhance the user experience.

[0132] As shown in (c) of FIG3e , the user interface 24 may include intelligent medical consultation information, which may be a prompt prompting the user whether to synchronize the assessment results with the doctor, such as “Your ovarian assessment result information may be helpful for the consultation. Please confirm whether to share it with the doctor.” The user interface 24 may also include two preset controls, which correspond to “yes” and “no” respectively. The first electronic device receives a user touch operation on one of the two preset controls of the user interface 24. If the preset control selected by the user corresponds to “yes,” the first electronic device may send the ovarian health assessment results to a target application, which may be a system application and / or a third-party application. The target application presents the ovarian health assessment results and / or related test data to the doctor with the user’s consent, thereby reducing the complexity of the user’s consultation and improving the accuracy and efficiency of the doctor’s diagnosis, thereby realizing intelligent medical consultation services and enhancing user experience.

[0133] As shown in Figure 3f, during the process of the first electronic device detecting user vital sign data, if the first electronic device detects that the user has experienced hot flashes based on the determined vital sign data, the first electronic device displays a user interface 25. User interface 25 includes a hot flash confirmation prompt. The hot flash confirmation prompt may be, "We have detected significant fluctuations in your skin temperature and heart rate over the past XX minutes. Have you experienced a hot flash?" User interface 25 may also include two preset controls, corresponding to "Yes" and "No," respectively. The first electronic device receives a user touch operation on one of the two preset controls in user interface 24. If the user selects the preset control corresponding to "No," the first electronic device may optimize the hot flash detection algorithm based on the hot flash condition reported by the user. It should be noted that the process of the first electronic device evaluating the user's ovaries based on the user's vital sign data may involve first detecting the user's hot flashes based on the user's vital sign data and the hot flash detection algorithm, and then using the user's hot flash condition as a feature to evaluate the user's ovaries. This will be described in detail later and is not detailed here.

[0134] As shown in Figure 3g, before a preset time period, after receiving the user's operation on the ovarian health application control 201 of the user interface 20, the first electronic device can display the user interface 26. The display content of the user interface 26 may include a prompt message that the detection is in progress. The display content of the user interface 26 may also include the evaluation progress. In Figure 3g, the evaluation progress is displayed in the form of a progress bar. The evaluation progress can also be displayed in the form of a progress ring, numbers, etc., which is not specifically limited in this application.

[0135] As shown in Figure 3h, after determining the user's ovarian assessment results, the first electronic device may also display a user interface 27. For example, when the first electronic device receives a preset operation performed by the user on the user interface 20, the user interface 27 may be displayed. Preset operations may include, but are not limited to, left swipe operations, right swipe operations, and air gestures, and are not specifically limited in this application. User interface 27 may be a user symptom information display interface. User interface 27 may be used to display the user's symptom information, which may include, but is not limited to, the user's hot flash frequency, sleep status indicators, etc., making it easier for users to view information related to themselves and improving the user experience.

[0136] As shown in (a) of FIG3h , user interface 27 includes the user's hot flash frequency, for example, the user's hot flash frequency is 10 / day. Optionally, user interface 27 may also include the number of hot flashes the user experiences each day within a preset time period, for example, the user experiences 5 hot flashes on the first day, 10 hot flashes on the second day, 15 hot flashes on the third day, and 10 hot flashes on the fourth day.

[0137] As shown in (b) of FIG3h , user interface 27 includes a user's sleep status indicator, for example, the user's sleep status indicator is excellent. Optionally, user interface 27 may also include the user's sleep score for each day within a preset time period, for example, the user's sleep score on the first day is 90, the user's sleep score on the second day is 81, the user's sleep score on the third day is 91, and the user's sleep score on the fourth day is 78.

[0138] As shown in Figure 3i, the user interface 23 may also include information compared with peers. Optionally, the first electronic device may draw a relationship diagram between age and ovarian health as shown in Figure 3i based on the relationship between age and ovarian health. Optionally, the first electronic device may also determine the ovarian health corresponding to each age based on the relationship between age and ovarian health to draw a mean line as shown in Figure 3i. Optionally, the first electronic device may obtain the user's age, and then the first electronic device may determine the position of the user's current ovarian health in the relationship diagram between age and ovarian health based on the user's age and ovarian health, so as to prompt the user of their own ovarian health status compared with their peers, thereby improving the user experience.

[0139] When a first electronic device is connected to N second electronic devices, Figures 4a to 4e are schematic diagrams of a set of user interfaces displayed on the second electronic devices provided in an embodiment of the present application. The following description assumes that the second electronic device is a smartphone.

[0140] As shown in Figure 4a, the user interface 30 displays one or more installed application icons, such as Huawei Health 301, Smart Home 302, Clock, Calendar, Memo, File Management, Email, Music, Calculator, Huawei Video, Sports Health, Weather, Browser, Smart Life, Settings, and Recorder.

[0141] As shown in Figure 4a, the second electronic device can receive a user's touch operation on the Huawei Health 301 icon on the user interface 30 (i.e., an operation to open the Huawei Health application), start the Huawei Health application, and display the user interface 31 as shown in Figure 4b on the display screen of the second electronic device. The user interface 31 may include an ovarian health assessment control 3011, a medication setting 3012, and a physical examination report input 3013.

[0142] As shown in Figure 4b, the second electronic device can receive a user's touch operation on the ovarian health assessment control 3011 of the user interface 31, and then display a user interface 32 as shown in Figure 4c on the display screen. The user interface 32 may include ovarian health assessment result information. Optionally, the user interface 32 may also include knowledge push information determined based on the ovarian health assessment result.

[0143] As shown in Figure 4a, the second electronic device can receive a user's touch operation on the smart home 302 icon of the user interface 30 (i.e., an operation to open the smart home application), start the smart home application, and display a user interface 33 as shown in Figure 4d on the display screen of the second electronic device. The user interface 33 may include the connection status of the smart home, for example, the current living room TV is online, the living room air conditioner is online, the living room audio is online, the master bedroom audio is online, the blood pressure meter is online, the body fat scale is online, and the Huawei router is online. It should be noted that the N second electronic devices may include smart terminals (such as smart phones) and smart homes. Online can be understood as the smart terminal being able to establish a connection with the smart home, thereby realizing the smart function of the whole house. In some embodiments, an indirect connection with the smart home can be achieved through the smart terminal, and the smart terminal can also achieve management of the home. Specifically, when the first electronic device establishes a connection with the smart terminal, the smart terminal can establish a connection with the smart home, and then the first electronic device can indirectly establish a connection with the smart home. The user interface 33 may also include a preset control 330, and the second electronic device can receive a user's touch operation on the preset control 330 of the user interface 33 to establish a new connection with other smart homes.

[0144] As shown in (a) of Figure 4e, after the second electronic device receives the user's operation on the ovarian health assessment control 3011 of the user interface 31 before a preset time period, it can display the user interface 32 as shown in (a) of Figure 4e. The user interface 32 may include a prompt message that there is no data yet, such as "There is no data on ovarian health risk". Optionally, the user interface 32 may also include a relationship graph between age and ovarian health. Optionally, the second electronic device may draw a relationship graph between age and ovarian health as shown in (a) of Figure 4e based on the relationship between age and ovarian health. Optionally, the second electronic device may also determine the ovarian health corresponding to each age based on the relationship between age and ovarian health to draw a mean line as shown in (a) of Figure 4e.

[0145] As shown in (b) of Figure 4e, after a preset time period, the second electronic device receives a user operation on the ovarian health assessment control 3011 of the user interface 31 and can display the user interface 32 shown in (b) of Figure 4e. The user interface 32 can include the user's ovarian health assessment results, such as a low ovarian health risk. Optionally, the user interface 32 can also include a relationship graph between age and ovarian health. Optionally, the second electronic device can draw a relationship graph between age and ovarian health as shown in (b) of Figure 4e based on the relationship between age and ovarian health. Optionally, the second electronic device can also determine the ovarian health corresponding to each age based on the relationship between age and ovarian health to draw a mean line as shown in (b) of Figure 4e. Optionally, the second electronic device can obtain the user's age, and then, based on the user's age and ovarian health, the second electronic device can determine the user's current ovarian health position in the relationship graph between age and ovarian health, to indicate the user's ovarian health status compared to peers, thereby improving the user experience. Optionally, the user interface 32 may further include interpretation of the results, such as "the risk of premature ovarian failure is found to be low, it is recommended to avoid sitting for long periods of time, avoid overeating more irritating foods, and maintain a good attitude."

[0146] FIG5 is a schematic diagram of a user interface displayed on a third electronic device provided in an embodiment of the present application. The following description will be made using the third electronic device as a smart watch.

[0147] The first electronic device and the third electronic device are bound to a family relationship via a cloud server. After the first electronic device assesses the user's ovaries based on the user's vital signs, it can send the ovarian health assessment results to the cloud server. The cloud server can then determine family care prompts based on the ovarian health assessment results, and the cloud server can send the family care prompts to the third electronic device. After receiving the family care prompts, the third electronic device can display a user interface 40 as shown in FIG5 . User interface 40 can include family care prompts (also known as family and friend care). This family and friend care can include a message such as "Your family member XX may experience significant emotional fluctuations recently. Please pay appropriate attention."

[0148] Next, the ovarian health assessment method provided by the embodiment of the present application is described in conjunction with FIG6 , and is described in detail as follows:

[0149] Optionally, step S501: a first electronic device establishes connections with N second electronic devices.

[0150] Specifically, the first electronic device may be a wearable device or other device capable of measuring a user's physiological data. For example, the first electronic device may be a smartwatch, smart bracelet, smart ring, or the like. N may be an integer greater than 0. The N second electronic devices may include terminals and / or smart home devices. For example, the N second electronic devices may include smartphones, smart speakers, body fat scales, air conditioners, blood pressure monitors, and the like. The first electronic device may establish a connection with the N second electronic devices via wireless technology, thereby enabling the first electronic device and the N second electronic devices to operate in coordination.

[0151] It is understood that the first electronic device can be directly connected to the second electronic device, or the first electronic device can be indirectly connected to the second electronic device. It is also understood that the first electronic device can be indirectly connected to the second electronic device through another device, in which case the first electronic device can send information to the second electronic device through the other device.

[0152] Optionally, step S502: the first electronic device sends a binding request to the cloud server.

[0153] Specifically, a first electronic device can establish a first relationship with a third electronic device, and the first electronic device can send a binding request to a cloud server. The binding request may include, but is not limited to, a request to establish a first relationship with the third electronic device, that is, the first relationship can be a family relationship, a friend relationship, or a relative relationship. The third electronic device can be an electronic device such as a smartphone or a smartwatch. When the first relationship is established between the first electronic device and the third electronic device, and the first electronic device determines the user's ovarian health assessment result, the first electronic device can upload the ovarian health assessment result to the cloud server. The cloud server can determine care prompt information based on the ovarian health assessment result, and then the cloud server can send the care prompt information to the third electronic device to enable the first electronic device to link with the third electronic device to provide care for relatives and friends, such as pushing notifications to relatives and friends about possible physical discomfort or mood swings, so that relatives and friends can prepare in advance, provide more care, avoid emotional conflicts, and reduce the user's discomfort.

[0154] Optionally, step S503: the cloud server sends binding confirmation information to the third electronic device.

[0155] Specifically, after receiving the binding request sent by the first electronic device, the cloud server may send binding confirmation information to the third electronic device, where the binding confirmation information is used to confirm whether the first relationship with the first electronic device is established.

[0156] Optionally, step S504: the third electronic device sends confirmation binding information to the cloud server.

[0157] Specifically, after the user confirms on the third electronic device that the first relationship has been established with the first electronic device, the third electronic device may send binding confirmation information to the cloud server.

[0158] Optionally, step S505: the cloud server sets the first electronic device and the third electronic device to be in a first relationship.

[0159] Specifically, the first relationship may include family relationships, friend relationships, kinship relationships, etc.

[0160] It should be noted that steps S502 to S504 can be executed at any time after step S501 and before step S519, or before step S501, and are not specifically limited in this application.

[0161] Optionally, step S506: the first electronic device displays an application interface, where the application interface includes an ovarian health application control.

[0162] Specifically, the application interface may be the user interface 20 mentioned above, and the ovarian health application control may be the ovarian health application control 201 in the user interface 20. A detailed description of the user interface 20 can be found in the description of FIG. 3 a above, and will not be repeated here. The application interface may also be the user interface 30 mentioned above. A detailed description of the user interface 30 can be found in the description of FIG. 4 a above, and will not be repeated here.

[0163] Step S507: The first electronic device receives the user's operation on the ovarian health application control on the application interface, and displays the start detection interface of the ovarian health assessment application, where the start detection interface includes the start detection control.

[0164] Specifically, the start detection interface may be user interface 21, and the start detection control included in the start detection interface may be start detection control 211. A detailed description of user interface 21 can be found in the description of FIG. 3b above and will not be repeated here. The start detection interface may also be an interface displayed after a user touches the ovarian health assessment control 3011 on user interface 31, and the interface may include a start detection control.

[0165] In some embodiments, the start detection interface may be a first interface, and the start detection control may be a first control.

[0166] Step S508: The first electronic device receives a first operation of the user on the start detection control of the start detection interface, and obtains first data.

[0167] Specifically, the first data can be understood as data detected by the first electronic device. The first data includes heart rate variability data of the user within a preset time period. The first data may also include one or more of the user's heart rate data and respiratory rate data within the preset time period. The first data may also include one or more of the user's skin temperature data and sleep status indicators within the preset time period. The first electronic device may acquire the first data after receiving a first user operation on the start detection control on the start detection interface. Optionally, after receiving a first user operation on the start detection control on the start detection interface, the first electronic device may monitor the user's first vital sign indicator within a preset time period; after the preset time period, the first electronic device acquires the first data. The first electronic device may be integrated with multiple sensors, such as a temperature sensor, an optical heart rate sensor, a gyroscope sensor, an accelerometer, etc. The user's first vital sign indicator may include heart rate variability. The user's first vital sign indicator may also include heart rate, skin temperature, respiratory rate, sleep score, number of awakenings during sleep, etc. The first operation may be a touch operation, a swipe operation, an air gesture operation, etc. For example, the user may touch the start detection control 211 on the first electronic device, and the first electronic device may receive the user's operation on the start detection control on the start detection interface. The first electronic device may activate a temperature sensor to detect the user's skin temperature, and may activate an optical heart rate sensor to detect the user's heart rate, respiratory rate, heart rate variability, etc. The first electronic device may also activate the optical heart rate sensor together with an acceleration sensor, a gyroscope sensor, and other sensors to detect the user's sleep score, the number of awakenings during sleep (i.e., detecting a sleep state indicator), etc.

[0168] In some embodiments, the user's sleep parameters within a preset time period may include a sleep score, the number of times awake during sleep, and the like.

[0169] Optionally, step S509: the first electronic device obtains second data from M second electronic devices among the N second electronic devices.

[0170] Specifically, N is an integer greater than 0, and M is an integer greater than 0 but less than or equal to N. Optionally, the second data obtained by the first electronic device from M of the N second electronic devices can be understood as historical data detected by the M of the N second electronic devices. Exemplarily, the second data may include the user's historical blood pressure data, historical body fat data, and historical emotional data. In some embodiments, the second data may include blood pressure data within a preset time period from the user's historical blood pressure data, body fat data within a preset time period from the user's historical body fat data, and emotional data within a preset time period from the user's historical emotional data. Optionally, the second data may be data stored in the M second electronic devices. For example, if the M second electronic devices include a smartphone, the second data may be historical heart rate data stored in the smartphone. Optionally, the data stored in the M second electronic devices may be data determined by monitoring the user's vital signs by some or all of the N second electronic devices. Optionally, the data stored in the M second electronic devices may be data determined by detecting the user's vital signs by devices other than the N second electronic devices.

[0171] In some embodiments, a first electronic device may simultaneously or after receiving a user's operation on a start detection control on a start detection interface, send a detection request to N second electronic devices; and the first electronic device may obtain second data from M of the N second electronic devices. The detection request may include a request for the second electronic device to detect the user's physical indicators. For example, if the N second electronic devices include a blood pressure monitor, a body fat scale, and a smart screen, the detection request sent by the first electronic device to the blood pressure monitor may include a request to detect the user's blood pressure; the detection request sent by the first electronic device to the body fat scale may include a request to detect the user's body fat; and the detection request sent by the first electronic device to the smart screen may include a request to detect the user's emotions. The second data can be understood as data detected by the M second electronic devices. The second data may include the user's blood pressure data detected by the blood pressure monitor within a preset time period. The second data may include the user's body fat data measured by the body fat scale within a preset time period. The second data may include the user's emotional data detected by the smart screen within a preset time period.

[0172] In some embodiments, step S509 may be before step S508, or step S509 may be after step S508, which is not specifically limited in this application.

[0173] Step S510: The first electronic device determines user vital sign data based on the first data.

[0174] Specifically, the user vital sign data may include some or all of the data in the first data. For example, the user vital sign data may include one or more of the following: the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, and the user's heart rate variability data within a preset time period. The first data may also include the user's skin temperature data within a preset time period, the user's sleep status indicator within a preset time period, and the like. The user vital sign data can serve as a basis for assessing the user's ovarian health, thereby determining the user's ovarian health status.

[0175] In some embodiments, the first electronic device may obtain second data from M second electronic devices among the N second electronic devices, as in step S509. Furthermore, the first electronic device determines the user's vital sign data based on the first data and the second data.

[0176] Specifically, the user's vital sign data may include first data and second data. For example, the user's vital sign data may include, but is not limited to, the user's skin temperature data within a preset time period, the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, the user's heart rate variability data within a preset time period, the user's sleep state index within a preset time period, the user's blood pressure data within a preset time period, the user's body fat data within a preset time period, the user's emotional data within a preset time period, etc. The user's vital sign data can be used as a basis for the user's ovarian health assessment, that is, the input data of the ovarian function assessment model can be determined based on the user's vital sign data. In this application, the advantages of multi-device collaboration can be fully utilized, and multiple smart devices can be coordinated to provide more comprehensive monitoring of various body indicators, realize multi-dimensional and comprehensive ovarian health assessment, and improve the accuracy of ovarian health assessment results.

[0177] In some embodiments, the first electronic device may also obtain user information and determine an ovarian health assessment result based on the user information and the user's vital sign data. The user information may include one or more of the following: medication intake, alcohol consumption, medical history, and sleeping environment temperature. It is understood that this user information may include, but is not limited to, information such as medication intake, alcohol consumption, medical history, and sleeping environment temperature, and is not limited in this embodiment of the present application.

[0178] In one possible implementation, the first electronic device can pre-process the user's vital sign data based on the user information, determine the pre-processed user vital sign data, and then assess the user's ovarian health based on the pre-processed user vital sign data. In this embodiment of the present application, considering that some of the acquired user vital sign data may have abnormal fluctuations, direct use of this data will reduce the accuracy of subsequent feature extraction and affect the accuracy of ovarian function assessment. Therefore, the first electronic device can perform data denoising and interference removal operations on the user's vital sign data based on the user information, effectively improving the accuracy of feature extraction and improving the accuracy of ovarian health assessment.

[0179] In some embodiments, the above-mentioned preprocessing may include the first electronic device determining, based on user information, whether the user's medication, drinking, illness, and ambient temperature will affect the physical sign indicators in the user's physical sign data. If this causes abnormal characteristic data, the abnormal data can be eliminated so that the affected characteristic data does not participate in the analysis.

[0180] For example, if the first electronic device detects that the user is awake at night based on the sleep detection model, it filters the vital sign parameters that will produce large fluctuations during the user's awake period, such as filtering the heart rate data of the user during the awake period, filtering the respiratory rate data of the user during the awake period, etc.

[0181] For another example, in combination with emotion monitoring, if the first electronic device identifies emotions such as excessive excitement or stress, panic, depression, etc., it may consider filtering the vital sign data that may have large fluctuations during the abnormal period, such as the heart rate data during the abnormal period, the respiratory rate data during the abnormal period, etc.

[0182] In another possible implementation, the first electronic device may use user information and user vital sign data as input data for ovarian health assessment to determine the ovarian health assessment result, implement a multi-dimensional and comprehensive ovarian health assessment, and improve the accuracy of the ovarian health assessment result.

[0183] Step S511: The first electronic device determines an ovarian health assessment result based on the user's physical sign data.

[0184] Specifically, the first electronic device can determine an ovarian health assessment result based on the ovarian function assessment model and the user's vital sign data. The ovarian function assessment model can be a neural network algorithm, a weighted algorithm, or the like, and the embodiments of the present application do not limit the ovarian function assessment model. The ovarian function assessment model can extract features from the user's vital sign data or analyze the user's vital sign data to assess the user's ovarian health.

[0185] In some embodiments, the first electronic device may use the user's physical sign data as input data for an ovarian health assessment model. The ovarian assessment model may directly analyze and process the user's physical sign data to determine the user's ovarian health status.

[0186] In some embodiments, the first electronic device determines target data based on the user's physical sign data; and the first electronic device determines an ovarian health assessment result based on the target data and an ovarian function assessment model.

[0187] Specifically, the target data can be understood as the input data of the ovarian function assessment model after processing the user's physical sign data.

[0188] In some embodiments, the target data may be a score value corresponding to each of the multiple vital signs indicators included in the user's vital signs data after scoring. Specifically, the first electronic device may score the multiple vital signs indicators included in the user's vital signs data. For example, if the user's vital signs data includes the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, the user's heart rate variability data within a preset time period, the user's skin temperature data within a preset time period, the user's sleep state indicator within a preset time period, the user's blood pressure data within a preset time period, the user's body fat data within a preset time period, and the user's emotional data within a preset time period, the first electronic device may score each of the vital signs indicators included in the user's vital signs data to determine the target data. For example, the first electronic device may record the score of the heart rate data within a preset time period as n1, the score of the respiratory rate data within a preset time period as n2, the score of the heart rate variability data within a preset time period as n3, the score of the skin temperature data within a preset time period as n4, the score of the sleep state index within a preset time period as n5, the score of the blood pressure data within a preset time period as n6, the score of the body fat data within a preset time period as n7, and the score of the emotion data within a preset time period as n8. Among them, n1, n2, n3, n4, n5, n6, n7, and n8 can be used as target data. Then, the first electronic device can substitute the scores of each physical sign indicator into the calculation according to Formula 1, multiply the scores of each physical sign indicator by their corresponding weights, and then sum them with other terms to determine the user's ovarian health score. It should be noted that Formula 1 can be the ovarian health assessment model provided in the embodiment of the present application. Formula 1 is only an implementation method provided in the embodiment of the present application and does not specifically limit the ovarian assessment model in the present application. Furthermore, the first electronic device can preset the mapping relationship between the ovarian health score and the ovarian health level in advance. For example, the first score interval corresponds to a low-risk ovarian health level, and the second score interval corresponds to a high-risk ovarian health level. After determining the user's ovarian health score, the first electronic device can determine the user's current ovarian health level according to the preset mapping relationship, thereby achieving a multi-dimensional and comprehensive ovarian health assessment and improving the accuracy of the ovarian health assessment results.

[0189] Among them, F can represent the user's ovarian health score, α i It can represent the weight corresponding to the physical sign index, n i It can represent the score of physical sign indicators.

[0190] In some embodiments, the target data may be symptom information. For example, the user's vital signs data includes the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, the user's heart rate variability data within a preset time period, the user's skin temperature data within a preset time period, and the user's sleep state index within a preset time period. The first electronic device may determine the user's hot flash frequency and assess the autonomic nervous function level based on the various vital signs indicators in the user's vital signs data. The first electronic device may also determine the user's physiological data of sleep disorders based on the various vital signs indicators in the user's vital signs data. Symptom information may include one or more of the user's hot flash condition (also referred to as hot flash frequency) and the user's autonomic nervous function level, and the user's sleep disorder condition.

[0191] In some embodiments, the target data may be a score value corresponding to the user's symptom index after scoring. Specifically, the first electronic device may first determine the user's symptom index (which may be referred to as symptom information) based on a plurality of physical sign indicators included in the user's physical sign data. For example, the user's physical sign data includes the user's heart rate data within a preset time period, the user's respiratory rate data within a preset time period, the user's heart rate variability data within a preset time period, the user's skin temperature data within a preset time period, and the user's sleep state index within a preset time period. The first electronic device may determine the user's hot flash frequency and assess the autonomic nervous function level based on each physical sign indicator in the user's physical sign data. The first electronic device may also determine the user's physiological data of sleep disorders based on each physical sign indicator in the user's physical sign data. The user's symptom indicators may include one or more of the user's hot flash condition (also referred to as hot flash frequency) and the user's autonomic nervous function level, and the user's sleep disorder condition. The user's symptom indicators may also include other symptom indicators, which are not specifically limited in this application. Furthermore, the first electronic device may score each indicator included in the user's symptom index to determine the target data. For example, the first electronic device can record the score of the user's hot flashes (such as the frequency of hot flashes) as N1, the first electronic device can record the score of the user's autonomic nervous function level as N2, and the first electronic device can record the score of the user's sleep disorder (such as the level of insomnia) as N3. Among them, N1, N2, and N3 can be used as target data. Then, the first electronic device can bring the scores of each symptom indicator (which can be used as target input data) into the calculation according to Formula 2, multiply the scores of each symptom indicator by their corresponding weights and then sum them with other items to determine the user's ovarian health score. It should be noted that Formula 2 can be the ovarian health assessment model provided in the embodiment of the present application. Formula 2 is only an implementation method provided in the embodiment of the present application and does not specifically limit the ovarian assessment model in the present application. Furthermore, after determining the user's ovarian health score, the first electronic device can determine the user's current ovarian health level according to the mapping relationship preset in advance, thereby achieving a multi-dimensional and comprehensive ovarian health assessment and improving the accuracy of the ovarian health assessment results. In an embodiment of the present application, the original input data is converted into symptoms of different dimensions caused by ovarian dysfunction, and features that can be directly used for ovarian function assessment are determined, so as to facilitate a more accurate assessment of the user's ovarian health.

[0192] Among them, F can represent the user's ovarian health score, It can represent the weight corresponding to the symptom index, N i The score of the symptom index can be expressed.

[0193] It should be noted that the ovarian health level can be divided into low risk and high risk of ovarian dysfunction. Optionally, the ovarian health level can be further divided into medium risk and high risk according to the severity.

[0194] In some embodiments, the first electronic device may analyze and process the user's heart rate data and respiratory rate data within a preset time period according to a hot flash detection algorithm to determine the user's hot flash condition, which may include the hot flash frequency. The first electronic device may also determine the user's hot flash condition based on the user's heart rate data, respiratory rate data, and skin temperature data within a preset time period. For example, a weight may be preset for each of the above-mentioned user vital signs indicators, and then each of the above-mentioned user vital signs indicators may be scored. The user's hot flash condition may then be determined by multiplying the score of each user vital sign indicator by the preset weight and then adding the score to other items.

[0195] In some embodiments, the first electronic device can obtain one or more of heart rate data, respiratory rate data, and skin temperature data; when one or more of the heart rate data, respiratory rate data, and skin temperature data meet the first condition, a fourth interface is displayed, and the fourth interface includes a third control and a fourth control, the third control is used for the user to confirm that a hot flash is currently occurring, and the fourth control is used for the user to confirm that a hot flash is not currently occurring; and the user's operation on the third control or the fourth control is received.

[0196] Specifically, when one or more of the heart rate data, respiratory rate data, and skin temperature data meets the first condition, the first electronic device may determine that the user has experienced a hot flash, and may then display a hot flash confirmation interface, i.e., a fourth interface, on the first electronic device. The hot flash confirmation interface includes two preset controls, which may be a third control and a fourth control. The third control may be used by the user to confirm that a hot flash is currently occurring, and the fourth control may be used by the user to confirm that a hot flash is not currently occurring. The first electronic device receives user input on the hot flash confirmation interface. The hot flash confirmation interface may be user interface 25 in FIG. 3f . A detailed description of user interface 25 can be found in the above description of FIG. 3f , and is not repeated here.

[0197] In an embodiment of the present application, when hot flashes are detected, the first electronic device can prompt the user to confirm whether hot flashes have occurred, and then adjust the parameters involved in the first condition based on user feedback. For example, the first preset threshold in the first condition can be adjusted based on user feedback, thereby improving the accuracy of the first electronic device in detecting whether the user has hot flashes, thereby improving the accuracy of ovarian function assessment and improving the user's individual interactive experience.

[0198] In some embodiments, the first condition is that a data change amplitude of one or more of the heart rate data, respiratory rate data, and skin temperature data in a first time interval within a preset time period is greater than or equal to a first preset threshold.

[0199] Specifically, the first time interval is a time interval within a preset time period, such as 5 minutes. When it is detected that one or more of the user's heart rate data, respiratory rate data, and skin temperature data fluctuates significantly within a short period of time, it can be determined that the user has a hot flash.

[0200] In some embodiments, the first electronic device may determine the user's autonomic nervous function level based on the user's heart rate variability data within a preset time period.

[0201] In some embodiments, the first electronic device may determine the user's sleep disorder condition (eg, insomnia level) based on the user's sleep status indicators (eg, sleep score, number of awakenings) within a preset time period.

[0202] In some embodiments, the user's vital sign data may also include questionnaire data. Specifically, the first electronic device may also display a user questionnaire interface, where the user can enter questionnaire results. The user questionnaire interface may be the aforementioned user interface 22. A detailed description of user interface 22 can be found in the description of FIG. 3c above and will not be repeated here. The user questionnaire interface may be a third interface. The first electronic device may receive user input on the user questionnaire interface and determine an ovarian health assessment result based on the ovarian function assessment model and the user's vital sign data. The questionnaire content may include, but is not limited to, osteoporosis symptoms and emotional state. In embodiments of the present application, the first electronic device may combine the questionnaire to collect more dimensional user data, including, but not limited to, osteoporosis symptoms and emotional state, which may be used as input data for the ovarian health assessment model, achieving a multidimensional and comprehensive ovarian health assessment and improving the accuracy of the ovarian health assessment results. In one possible embodiment, the questionnaire data includes the user's questionnaire results. In another possible embodiment, the first electronic device may score the questionnaire results entered by the user, and the questionnaire data may include the questionnaire score.

[0203] In some embodiments, the first electronic device can obtain user physical examination data, which may include but is not limited to anti-Mullerian hormone (AMH) test results and follicle-stimulating hormone (FSH) test results. The first electronic device can optimize the ovarian function assessment model based on the user's physical examination data, such as the parameter thresholds in the ovarian function assessment model. In an embodiment of the present application, the first electronic device obtains the user's corresponding hormone level information and uses the ovarian health corresponding to the hormone level as the gold standard for the user's current ovarian health, thereby optimizing the parameter thresholds in the ovarian function assessment model, re-establishing the model baseline, etc., to improve the accuracy of subsequent detection.

[0204] Step S512: After a preset time period, the first electronic device receives a user operation on the ovarian health application control of the application interface and displays a test result interface, where the display content of the test result interface includes the ovarian health assessment result.

[0205] Specifically, after the preset time period, when the user reopens the ovarian health assessment application, the ovarian health assessment results can be displayed on the first electronic device, and the test result interface can be the user interface 23 mentioned above. For a detailed description of the user interface 23, please refer to the above description of Figure 3d, which will not be repeated here. The test result interface can be a second interface. In an embodiment of the present application, by displaying the user's ovarian health assessment results on the first electronic device, the user's ovarian function abnormalities can be discovered in time. If the symptoms of abnormal ovarian aging can be discovered early, the related symptoms caused by ovarian aging can be improved.

[0206] In some embodiments, before a preset time period, the first electronic device receives a user operation on an ovarian health application control in the application interface and can display a monitoring interface. The monitoring interface can include the evaluation progress, which can be displayed in the form of a progress bar. The monitoring interface can be the above-mentioned user interface 26. For a detailed description of user interface 26, please refer to the above description of Figure 3g and will not be repeated here.

[0207] Optionally, step S513: the first electronic device displays a knowledge push interface, and the display content of the knowledge push interface includes knowledge push content determined according to the ovarian health assessment result.

[0208] Specifically, the knowledge push interface can be the user interface 24 mentioned above. For a detailed description of the user interface 24, please refer to the description of (a) in Figure 3d above, which will not be repeated here. In an embodiment of the present application, knowledge can be pushed on the first electronic device for users with a lower risk of ovarian decline or users with a higher risk of ovarian decline, such as pushing knowledge related to diet, scientific exercise, healthy living, and improved sleep, to help users establish a good life, diet, and exercise. While promptly detecting abnormal ovarian function of users, targeted solutions can also be provided, thereby slowing down the rate of ovarian aging.

[0209] In some embodiments, the first electronic device may display the knowledge push content on the negative first screen of the first electronic device.

[0210] In some embodiments, the first electronic device can synchronize the ovarian health assessment results to some or all of the N second electronic devices, and can display an ovarian health assessment result interface on the second electronic device, which can display the ovarian health assessment results. The ovarian health assessment result interface can be the user interface 32 mentioned above. For a detailed description of the user interface 32, please refer to the description of Figure 4c above, and will not be repeated here.

[0211] Optionally, step S514: when the first electronic device predicts that the user will have hot flashes or detects that the user's sleep quality is poor, the first electronic device sends corresponding information to some or all of the N second electronic devices, and the information is used to instruct some or all of the second electronic devices to adjust the spatial environment where the user is located.

[0212] Specifically, the first electronic device can also link with the smart home to adjust the user's space environment. For example, when hot flashes are predicted to occur, the air-conditioning temperature and indoor humidity can be intelligently adjusted to relieve the user's hot flash symptoms; if the sleep quality is poor, soothing music can be played before / during bedtime to improve sleep quality.

[0213] In some embodiments, the first data also includes sleep parameters; the N second electronic devices include a smart speaker, and within a preset time period, the sleep parameters are used to determine whether the user's sleep quality is below a second preset threshold. If so, a first message is sent to the smart speaker; the first message is used to instruct the smart speaker to play audio. Specifically, the user's sleep quality can be determined based on a sleep score in the sleep parameters (also known as a sleep state indicator) and / or the number of times the user is awake.

[0214] Optionally, the first electronic device can recommend multiple audios to the user, and the user can select or preset the audio to be played according to personal preference.

[0215] In some embodiments, the N second electronic devices include a smart air conditioner. Within a preset time period, the target moment when the user will experience hot flashes is predicted, and second information is sent to the smart air conditioner before the target moment; the second information is used to instruct the smart air conditioner to adjust the current temperature.

[0216] Optionally, the first electronic device may provide the user with an intelligent air-conditioning temperature adjustment option, and the user may select or preset an adjustment range of the air-conditioning temperature.

[0217] In some embodiments, the first electronic device may predict when the user will experience a hot flash based on the user's physical sign data.

[0218] Optionally, step S515: some or all of the N second electronic devices receive a request to adjust the user space environment and adjust the user space environment.

[0219] Optionally, step S516: the first electronic device uploads the ovarian health assessment result to the cloud server.

[0220] In some embodiments, the first electronic device may further send a first request to the cloud server, where the first request is used to instruct the cloud server to determine care prompt information based on the ovarian health assessment result and send the care prompt information to the third electronic device.

[0221] Optionally, step S517: the cloud server determines care prompt information according to the ovarian health assessment result.

[0222] In some embodiments, after receiving the ovarian health assessment result, the cloud server may determine care prompt information based on the ovarian health assessment result.

[0223] In some embodiments, after receiving the ovarian health assessment result, the cloud server may determine care prompt information based on the ovarian health assessment result.

[0224] Optionally, step S518: the cloud server sends a caring reminder message to the third electronic device based on the first relationship.

[0225] Optionally, step S519: the third electronic device receives the caring prompt information; the third electronic device displays a caring prompt interface, which includes the caring prompt information.

[0226] Specifically, the first electronic device can also be linked to a family device (i.e., a third electronic device) to provide care for family and friends. For example, it can notify family and friends of possible physical discomfort or mood swings, allowing them to prepare in advance, provide more care, avoid emotional conflicts, and reduce the user's discomfort. The family care reminder interface can be the user interface 40 mentioned above. A detailed description of user interface 40 can be found in the description of Figure 5 above and is not repeated here. The family care reminder interface can be the fifth interface.

[0227] In some embodiments, the first electronic device can send the ovarian health assessment result to a target electronic device among N second electronic devices. The target electronic device can be a smart phone. The target electronic device can obtain the application interface of the third-party application of the target electronic device and can send the ovarian health assessment result to the third-party application. In another embodiment, the first electronic device can also obtain the application interface of the third-party application of the first electronic device and can send the ovarian health assessment result to the third-party application. Furthermore, the first electronic device can link the third-party application of the first electronic device and / or the second electronic device, and the third-party application can push related products based on the ovarian health assessment result. For example, Douyin pushes short videos for easy appointments, and Taobao pushes products that can be used to relieve related symptoms.

[0228] In some embodiments, the first electronic device can send the ovarian health assessment results to a target application, which can be a system application and / or a third-party application. The target application presents the ovarian health assessment results and / or related test data to the doctor with the user's consent, thereby reducing the complexity of the user's consultation and improving the accuracy and efficiency of the doctor's diagnosis, thereby realizing intelligent consultation services and improving user experience.

[0229] In some embodiments, the first electronic device may push content related to assisted reproductive technology based on the ovarian health assessment results, such as providing knowledge related to assisted reproduction to users with fertility needs.

[0230] In some embodiments, the first electronic device may execute part or all of steps S508 to S510 through the data acquisition module of FIG. 1 c .

[0231] In some embodiments, the first electronic device may perform part or all of step S511 using the ovarian function assessment module of FIG. 1 c .

[0232] In some embodiments, the first electronic device may determine target data based on the user's vital sign data through the signal processing and feature extraction module of FIG. 1 c .

[0233] In summary, in an embodiment of the present application, the first electronic device can receive a first operation (such as a touch operation) of the user on the start detection control (i.e., the first control) of the start detection interface (i.e., the first interface) to obtain the first data. The first data includes at least the user's heart rate variability data within a preset time period. The user's vital signs data may include the first data. The user's vital signs data can be used as a basis for the user's ovarian health assessment, and the ovarian health assessment result can be determined based on the user's vital signs data. In the present application, the user's ovarian health can be assessed based on the user's heart rate variability data, without the need to assess the user's ovarian health based on endocrine testing, providing a portable, low-cost ovarian health assessment solution. Furthermore, after the preset time period, a test result interface can be displayed on the first electronic device, and the display content of the test result interface includes the ovarian health assessment result. By displaying the user's ovarian health assessment result on the first electronic device, the user's ovarian function abnormalities can be detected in a timely manner. If the symptoms of abnormal ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved.

[0234] Please refer to FIG7 , which is a flow chart of another ovarian health assessment method provided in an embodiment of the present application. The ovarian health assessment method is applied to a first electronic device and is described in detail as follows:

[0235] Step S601: The first electronic device displays a first interface.

[0236] Specifically, the first interface includes a first control. The specific implementation of step S601 can refer to the detailed description of step S507 in FIG6 , which will not be repeated here.

[0237] Step S602: The first electronic device receives a first operation acting on a first control.

[0238] Specifically, the first operation may be a touch operation, a sliding operation, an air operation, etc.

[0239] Step S603: The first electronic device obtains first data.

[0240] Specifically, the first data includes the heart rate variability data of the user within a preset time period. The specific implementation of step S603 can refer to the detailed description of step S508 in FIG6 , which will not be repeated here.

[0241] Step S604: The first electronic device determines an ovarian health assessment result based on the user's physical sign data.

[0242] Specifically, the user's vital sign data includes the first data; the ovarian health assessment result is used to indicate the user's ovarian health status within a preset time period. The specific implementation of step S604 can be referred to the detailed description of steps S510 and S511 in Figure 6 above, and will not be repeated here.

[0243] Step S605: The first electronic device displays the second interface after a preset time period.

[0244] Specifically, the display content of the second interface includes the ovarian health assessment result. The specific implementation of step S605 can refer to the detailed description of step S512 in Figure 6 above, and will not be repeated here.

[0245] In summary, in an embodiment of the present application, the first electronic device can receive a first operation (such as a touch operation) of the user on the start detection control (i.e., the first control) of the start detection interface (i.e., the first interface) to obtain the first user's vital sign data. The first user's vital sign data at least includes the user's heart rate variability data within a preset time period. The user's vital sign data may include the first user's vital sign data. The user's vital sign data can be used as a basis for the user's ovarian health assessment, and the ovarian health assessment result can be determined based on the user's vital sign data. In the present application, the user's ovarian health can be assessed based on the user's heart rate variability data, without the need to assess the user's ovarian health based on endocrine testing, providing a portable, low-cost ovarian health assessment solution. Furthermore, after the preset time period, a test result interface can be displayed on the first electronic device, and the display content of the test result interface includes the ovarian health assessment result. By displaying the user's ovarian health assessment result on the first electronic device, the user's ovarian function abnormality can be discovered in a timely manner. If the symptoms of abnormal ovarian aging can be discovered early, the related symptoms caused by ovarian aging can be improved, and women's health can be improved.

[0246] The present application provides a computer storage medium, characterized in that the computer storage medium stores a computer program, and when the computer program is executed by a processor, any one of the above-mentioned ovarian health assessment methods is implemented.

[0247] Please refer to Figure 8, which is a schematic diagram of an electronic device provided in an embodiment of the present application. The embodiment of the present application provides an electronic device 1100, which includes a processor 1110. The processor 1110 is configured to support the electronic device 1100 in implementing the corresponding functions in any of the above-mentioned ovarian health assessment methods. The electronic device 1100 may also include a memory 1130, which is coupled to the processor 1110 and stores the necessary program instructions and data for the electronic device 1100. The electronic device 1100 may also include a communication interface 1120 for the electronic device 1100 to communicate with other devices or communication networks.

[0248] This application provides a chip system that includes a processor for supporting an electronic device in implementing the aforementioned functions, such as determining or processing information involved in the aforementioned ovarian health assessment method. In one possible design, the chip system also includes a memory for storing program instructions and data necessary for the electronic device. The chip system can be composed of a chip alone or include a chip and other discrete components.

[0249] The present application provides a computer program, characterized in that the computer program includes instructions, which, when executed by a computer, enable the computer to perform the above-mentioned ovarian health assessment method.

[0250] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0251] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0252] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the above-mentioned units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0253] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0254] In addition, the functional units in the embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0255] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. According to this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc., specifically a processor in a computer device) to execute all or part of the steps of the above-mentioned methods of each embodiment of the present application. Among them, the aforementioned storage medium may include: U disk, mobile hard disk, magnetic disk, optical disk, read-only memory (Read-Only Memory, abbreviated: ROM) or random access memory (Random Access Memory, abbreviated: RAM) and other media that can store program codes.

[0256] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An ovarian health assessment method, characterized in that, Applied to a first electronic device, the method includes: Displaying a first interface, the first interface including a first control; Receiving a first operation acting on the first control; Obtaining first data, the first data including the user's heart rate variability data within a preset time period; Determining an ovarian health assessment result according to the user's physical sign data; the user's physical sign data includes the first data; the ovarian health assessment result is used to indicate the user's ovarian health condition within the preset time period; After the preset time period, displaying a second interface, the second interface including the ovarian health assessment result.

2. The method according to claim 1, wherein The first electronic device is connected to N second electronic devices, where N is an integer greater than 0; After receiving the first operation acting on the first control, the method further includes: Receiving second data sent by M second electronic devices among the N second electronic devices, where M is an integer greater than 0 and less than or equal to N; The user's physical sign data further includes the second data.

3. The method according to claim 2, wherein The second data includes one or more of the following: the user's blood pressure data within the preset time period, the user's body fat data within the preset time period, the user's mood data within the preset time period, the user's skin temperature data within the preset time period.

4. The method according to any one of claims 1 to 3, characterized in that The method further includes: Displaying a third interface, the third interface including user questionnaire questions; Receiving the user's input operation and determining questionnaire survey data; the user's physical sign data further includes the questionnaire survey data.

5. The method according to any one of claims 1-4, characterized in that, The determining the ovarian health assessment result according to the user's physical sign data includes: Obtaining user information, the user information including one or more of user medication, alcohol consumption, medical history, and sleep environment temperature; Determining the ovarian health assessment result according to the user information and the user's physical sign data.

6. The method according to any one of claims 1-5, characterized in that, The first data further includes one or more of the following: the user's heart rate data within the preset time period, the user's respiratory rate data within the preset time period, the user's skin temperature data within the preset time period.

7. The method according to claim 6, wherein The method further includes: Obtaining one or more of the heart rate data, the respiratory rate data, and the skin temperature data; When one or more of the heart rate data, the respiratory rate data, and the skin temperature data meet a first condition, displaying a fourth interface, the fourth interface including a third control and a fourth control, the third control being used for the user to confirm that a hot flash is currently occurring, and the fourth control being used for the user to confirm that a hot flash is not currently occurring; Receiving the user's operation on the third control or the fourth control.

8. The method according to claim 7, characterized in that The first condition is that the data change amplitude of one or more of the heart rate data, the respiratory rate data, and the skin temperature data within a first time interval within the preset time period is greater than or equal to a first preset threshold.

9. The method according to any one of claims 1-8, characterized in that, The determining the ovarian health assessment result according to the user's physical sign data includes: Determining target data according to the user's physical sign data; Determining the ovarian health assessment result according to the target data and an ovarian function assessment model.

10. The method according to claim 9, characterized in that, The determining the target data according to the user's physical sign data includes: Determine the symptom information of the user according to the user's physical sign data, where the symptom information includes the frequency of hot flashes and the level of autonomic nerve function of the user within the preset time period; Determine the target data according to the symptom information.

11. The method according to claim 9 or 10, characterized in that, The method further includes: Obtain the user's physical examination data, where the user's physical examination data includes the detection result of the user's anti-Müllerian hormone and / or the detection result of follicle-stimulating hormone; Adjust the parameters in the ovarian function evaluation model according to the user's physical examination data.

12. The method according to any one of claims 1-11, characterized in that, The first data further includes the sleep parameters of the user within the preset time period.

13. The method according to claim 12, wherein The N second electronic devices include a smart speaker, and the method further includes: Within the preset time period, determine whether the user's sleep quality is lower than a second preset threshold according to the sleep parameters, If it is lower than the second preset threshold, send a first message to the smart speaker; the first message is used to instruct the smart speaker to play the target audio.

14. The method according to any one of claims 2-13, characterized in that, The N second electronic devices include a smart air conditioner, and the method further includes: Within the preset time period, predict the target time when the user has a hot flash, and send a second message to the smart air conditioner before the target time; the second message is used to instruct the smart air conditioner to adjust to the target temperature.

15. The method according to any one of claims 1-14, characterized in that, The method further includes: Upload the ovarian health assessment result to the cloud server; the cloud server is used to determine the care prompt information according to the ovarian health assessment result and send the care prompt information to a third electronic device, where the third electronic device is bound to the first electronic device in a first relationship; the third electronic device is used to display a fifth interface, and the display content of the fifth interface includes the care prompt information.

16. An electronic device, characterized in that, Includes: A memory and one or more processors; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method according to any one of claims 1-15.

17. A chip system, characterized in that, The chip system includes at least one processor, a memory, and an interface circuit. The memory, the interface circuit, and the at least one processor are interconnected by lines. Instructions are stored in the at least one memory; when the instructions are executed by the processor, the method according to any one of claims 1-15 is implemented.

18. A computer-readable storage medium, comprising instructions, characterized in that, When the instructions run on the electronic device, the electronic device executes the method according to any one of claims 1-15.

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