Ovarian health assessment method and related equipment

Abstract

The embodiment of the invention discloses an ovarian health assessment method and related equipment, the method is applied to first electronic equipment, the first electronic equipment can display a first interface, and the first interface comprises a first control; receiving a first operation acting on the first control; acquiring first data, wherein the first data comprises heart rate variability data of the user in a preset time period; according to the physical sign data of the user, determining an ovary health assessment result; the user sign data comprises first data; the ovarian health assessment result is used for indicating the ovarian health condition of the user in a preset time period; after the preset time period, a second interface is displayed, and the display content of the second interface comprises the ovarian health assessment result. By adopting the method, the ovarian function abnormity of the user can be found in time.

Description

Technical Field

[0001] This application relates to the technical field of intelligent terminals, and in particular, to an ovarian health assessment method and related devices. Background Art

[0002] The ovary is both a reproductive organ and an endocrine organ. The main functions of the ovary are twofold: producing eggs and secreting sex hormones (mainly estrogen and progesterone) to ensure the normal growth and development of women, maintain women's physical health and normal reproductive function. Ovarian aging is the pacemaker of female body aging and is the first organ in the female body to age comprehensively. Ovarian aging can cause the aging of multiple other organs in the female body, leading to an increase in the incidence of osteoporosis, cardiovascular diseases, Alzheimer's disease, obesity, diabetes, etc., and also a decline in fertility and reproductive quality.

[0003] The decline and even failure of ovarian function is an inevitable process. Currently, the average age of menopause for women is 51 years old. With the extension of lifespan, more and more women will spend nearly one-third of their lives after menopause. According to statistics, there are currently 130 million perimenopausal women in China, and it is expected to exceed 280 million in 2030, and the number of perimenopausal women globally will increase to 1.2 billion. For some people, due to various reasons such as genetics, behavior, psychology, immunity, or because they suffer from other diseases, especially malignant tumors and need to be treated, their ovarian function is damaged to varying degrees, resulting in an overly rapid decline in ovarian function and the emergence of ovarian function hypofunction diseases, such as premature ovarian insufficiency, premature ovarian failure, and decreased ovarian reserve function. In recent years, the incidence of ovarian function hypofunction diseases has gradually increased and shown a trend of younger age. If the abnormal symptoms of ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved.

[0004] Currently, ovarian health assessment basically relies on professional medical means, such as blood hormone detection, ovarian biopsy sampling, ovarian CT, color Doppler ultrasound examination, etc. The above-mentioned ovarian health assessment methods are costly and lack convenience, and cannot meet the needs of users for daily ovarian health assessment. Summary of the Invention

[0005] The embodiments of this application provide an ovarian health assessment method and related devices, which can timely detect abnormal ovarian function of users.

[0006] 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 includes: displaying a first interface, where the first interface includes a first control; receiving a first operation on the first control; obtaining first data, where the first data includes 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, and the display content of the second interface includes the ovarian health assessment result.

[0007] 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), and obtain the first data. The first data at least includes the user's heart rate variability data within a preset time period. The user's physical sign data can include the first data. The user's physical sign data can be used as the basis for the user's ovarian health assessment, and the ovarian health assessment result can be determined according to the user's physical sign data. In the present application, the user's ovarian health can be evaluated based on the heart rate variability data of the user, without evaluating the user's ovarian health according to endocrine detection, providing a portable and low-cost ovarian health assessment solution. Further, after the preset time period, a detection result interface can be displayed on the first electronic device, and the display content of the detection result interface includes the ovarian health assessment result. By displaying the user's ovarian health assessment result on the first electronic device, the abnormal ovarian function of the user can be detected in time. If the symptoms of abnormal ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved.

[0008] In some embodiments, the first electronic device is connected to N second electronic devices, where N is an integer greater than 0. After the first electronic device receives the first operation on the first control, the method further includes: receiving second data sent by M second electronic devices among the N second electronic devices; the user's physical sign data further includes the second data.

[0009] In an embodiment of the present application, when the 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; and then the user's physical sign data can include the first data and the second data. The user's physical sign data can be used as the basis for the user's ovarian health assessment, that is, the ovarian health assessment result can be determined according to the user's physical sign data. In the present application, the advantages of multi-device collaboration can be fully utilized, and multiple intelligent devices can be coordinated to provide more comprehensive monitoring of various physical indicators, realizing multi-dimensional and comprehensive ovarian health assessment, and improving the accuracy of the ovarian health assessment result.

[0010] 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, mood data of the user within a preset time period, and skin temperature data of the user within a preset time period.

[0011] In the embodiments of the present application, the second data includes one or more of the blood pressure data of the user within a preset time period, the body fat data of the user within a preset time period, the mood data of the user within a preset time period, and the skin temperature data of the user within a preset time period; thus, more user physical sign-related data can be included in the user physical sign data. The user physical sign data can be used as the basis for the user's ovarian health assessment, that is, the ovarian health assessment result can be determined according to the user physical sign data. In the present application, the advantages of multi-device collaboration can be fully utilized, and multiple intelligent devices can be coordinated to provide more comprehensive monitoring of various physical indicators of the body, realizing multi-dimensional and comprehensive ovarian health assessment, and improving the accuracy of the ovarian health assessment result.

[0012] In some embodiments, the method further includes: displaying a third interface, the display content of the third interface including user questionnaire questions; receiving an input operation of the user on the third interface, and determining the questionnaire result; the user physical sign data further includes questionnaire data.

[0013] In the embodiments of the present application, the first electronic device can also display a user questionnaire interface (i.e., the third interface), and the user can input the questionnaire result on the user questionnaire interface. The first electronic device can receive the input operation of the user on the user questionnaire interface, and then can determine the ovarian health assessment result according to the user physical sign data and the user information input by the user (i.e., the questionnaire result). The questionnaire content can include, but is not limited to, osteoporosis symptoms, mood status, etc. In the present application, the questionnaire can be combined to collect more dimensional data of the user, including but not limited to osteoporosis symptoms, mood status, etc., which can be jointly used as the basis for ovarian health assessment, realizing multi-dimensional and comprehensive ovarian health assessment, and improving the accuracy of the ovarian health assessment result.

[0014] In some embodiments, determining the ovarian health assessment result according to the user physical sign data includes: obtaining user information, the user information including one or more of the user's medication, alcohol consumption, medical history, and sleep environment temperature; and determining the ovarian health assessment result according to the user information and the user physical sign data.

[0015] In the embodiments of the present application, user information can be obtained, and the user information may include, but is not limited to, information such as user medication, alcohol consumption, medical history, and sleep environment temperature. Optionally, the user physiological sign data can be preprocessed according to the user information to determine the preprocessed user physiological sign data, and then the user's ovarian health can be evaluated based on the preprocessed user physiological sign data. In the embodiments of the present application, considering that some of the obtained user physiological sign data may have abnormal fluctuations, if directly used, it will lead to a decrease in the accuracy of subsequent feature extraction and affect the accuracy of ovarian function evaluation. Therefore, data denoising and interference removal operations can be performed on the user physiological sign data according to the user information, effectively improving the accuracy of feature extraction and the accuracy of ovarian health evaluation. Optionally, user information can also be obtained, and the ovarian health evaluation result can be determined based on the user information and the user physiological sign data, realizing multi-dimensional and comprehensive ovarian health evaluation and improving the accuracy of the ovarian health evaluation result.

[0016] In some embodiments, the first data further 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 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 the 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 occurring currently, and the fourth control being used for the user to confirm that a hot flash is not occurring currently; receiving an operation of the user on the third control or the fourth control.

[0017] In the embodiments of the present application, when one or more of the heart rate data, the respiratory rate data, and the skin temperature data meet the first condition, it can be determined that the user has a hot flash, and thus a hot flash confirmation interface, that is, the fourth interface, can be displayed on the first electronic device. The hot flash confirmation interface includes two preset controls, which can be a third control and a fourth control respectively. The third control can be used for the user to confirm that a hot flash is occurring currently, and the fourth control is used for the user to confirm that a hot flash is not occurring currently; the first electronic device receives an input operation of the user on the hot flash confirmation interface. In the embodiments of the present application, a user positive feedback mechanism can be designed. For example, when the hot flash detection algorithm detects a hot flash, the user can be prompted to confirm whether the hot flash has occurred, so as to optimize the ovarian evaluation result according to the user's hot flash data, thereby improving the accuracy of ovarian function evaluation and enhancing the user's individual interaction experience.

[0018] In some embodiments, 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 a preset time period is greater than or equal to a first preset threshold.

[0019] In the embodiments 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 fluctuate greatly within a short period of time, it can be determined that the user has a hot flash.

[0020] In some embodiments, determining an 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.

[0021] In the embodiments of the present application, the target data can be the input data of the ovarian function assessment model. The user's physical sign data can be processed first, and then the processed data can be input into the ovarian function assessment model, so as to be able to determine the ovarian health assessment result, without having to evaluate the user's ovarian health based on endocrine tests, providing a portable and low-cost ovarian health assessment solution.

[0022] In some embodiments, determining target data based on the user's physical sign data includes: determining the user's symptom information based on 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 a preset time period; and determining the target data based on the symptom information.

[0023] In the embodiments of the present application, the user's symptom indicators (which can be used as symptom information) can be determined first based on multiple physical sign indicators included in the user's physical sign data. For example, the frequency of the user's hot flashes and the level of autonomic nerve function can be detected based on each physical sign indicator in the user's physical sign data. Further, the target data can be determined based on each indicator included in the user's symptom indicators. In the embodiments of the present application, the original input data is converted into symptoms in different dimensions caused by ovarian function decline, and the characteristics directly used for ovarian function assessment are determined, which is convenient for more accurately evaluating the user's ovarian health.

[0024] In some embodiments, the method further includes: obtaining the user's physical examination data, where the user's physical examination data includes the user's anti-Müllerian hormone test result and / or follicle-stimulating hormone test result; and adjusting the parameters in the ovarian function assessment model according to the user's physical examination data.

[0025] 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 according to 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 of 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.

[0026] In some embodiments, the first data further includes sleep parameters of the user within a preset time period.

[0027] 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.

[0028] In some embodiments, the N second electronic devices include a smart speaker, and the method also includes: within a preset time period, judging whether the user's sleep quality is lower than a second preset threshold based on sleep parameters, and 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.

[0029] In an embodiment of the present application, the first electronic device can also cooperate with a smart home to adjust the user's spatial environment. For example, when poor sleep quality is detected, the first electronic device can cooperate with a smart speaker to play soothing music before / during the user's bedtime to improve sleep quality.

[0030] In some embodiments, the N second electronic devices include a smart air conditioner, and the method further includes: predicting a target time when a 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.

[0031] In the 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, so as to relieve the user's hot flash symptoms.

[0032] In some embodiments, the method further includes: uploading the ovarian health assessment result to a cloud server; the cloud server is used to determine care prompt information based on the ovarian health assessment result, and send the care prompt information to a third electronic device, 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.

[0033] In the embodiments of the present application, the first electronic device may also be linked with a family member device (i.e., the third electronic device) for caring about relatives and friends. For example, it may push to relatives and friends users the possible physical discomfort, mood swings, etc., so that relatives and friends can make preparations in advance, give more care, avoid emotional conflicts, and reduce the discomfort of the user.

[0034] In a second aspect, an electronic device is provided, including: 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 cause the electronic device to execute the method as described in the first aspect or any one of the implementation manners of the first aspect.

[0035] In a third aspect, a computer-readable storage medium is provided, including instructions, when the instructions run on an electronic device, causing the electronic device to execute the method as described in the first aspect or any one of the implementation manners of the first aspect.

[0036] In a fourth aspect, a computer program product is provided, when the computer program product runs on a computer, causing the computer to execute the method as described in the first aspect or any one of the implementation manners of the first aspect.

[0037] In a fifth aspect, a chip system is provided, the chip system includes at least one processor, and is used to implement the method as described in the first aspect or any one of the implementation manners of the first aspect. Description of the Drawings

[0038] Figure 1a It is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

[0039] Figure 1b It is a software structural block diagram of the electronic device 100 according to an embodiment of the present application.

[0040] Figure 1c It is another software structural block diagram of the electronic device 100 according to an embodiment of the present application.

[0041] Figure 2 It is a schematic diagram of an ovarian health assessment system provided by an embodiment of the present application.

[0042] Figures 3a - 3i It is a set of schematic diagrams of user interfaces displayed on the first electronic device provided by an embodiment of the present application.

[0043] Figures 4a - 4e It is a set of schematic diagrams of user interfaces displayed on the second electronic device provided by an embodiment of the present application.

[0044] Figure 5Schematic diagram of the user interface displayed on the third electronic device provided by the embodiment of the present application.

[0045] Figure 6 Schematic flow chart of a method for ovarian health assessment provided by the embodiment of the present application.

[0046] Figure 7 Schematic flow chart of another method for ovarian health assessment provided by the embodiment of the present application.

[0047] Figure 8 Schematic diagram of an electronic device provided by the embodiment of the present application. Detailed implementation manners

[0048] Next, the embodiments of the present application will be described in conjunction with the accompanying drawings in the embodiments of the present application.

[0049] The terms "first", "second", "third", "fourth", etc. in the specification and claims of the present application and the accompanying drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0050] Referring to "embodiment" herein means that a specific feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0051] The ovarian health assessment method provided by the embodiments of the present application can be applied to an electronic device. Currently, some examples of electronic devices are: smartphones (mobile phones), tablet computers, laptop computers, palmtop computers, 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, wireless terminals in remote medical surgery, wireless terminals in smart grid, wireless terminals in transportation safety, wireless terminals in smart city, wireless terminals in smart home, cellular phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), handheld devices with wireless communication functions, computing devices or other processing devices connected to a wireless modem, in-vehicle devices, wearable devices, terminal devices in a 5G network, or terminal devices in a future evolved public land mobile network (PLMN), etc. The embodiments of the present application are not limited thereto.

[0052] Before introducing the method provided by the embodiments of the present application in detail, the electronic device provided by the embodiments of the present application will be introduced first.

[0053] Figure 1a The structural schematic diagram of the electronic device 100 is shown.

[0054] 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, a headphone jack 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.

[0055] Among them, the sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, a barometric 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 Figure 1a an optical heart rate sensor not shown in the figure.

[0056] The pressure sensor 180A is used to sense pressure signals and can convert the pressure signals into electrical signals. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc. The capacitive pressure sensor may include at least two parallel plates with conductive materials. When a force acts on the pressure sensor 180A, the capacitance between the electrodes changes. The electronic device 100 determines the intensity of the pressure according to the change in capacitance. When a touch operation acts on the display screen 194, the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic device 100 can also calculate the position of the touch according to the detection signal of the pressure sensor 180A. In some embodiments, touch operations with the same touch position but different touch operation intensities may correspond to different operation instructions. For example: when a touch operation with a touch operation intensity less than the first pressure threshold acts on the short message application icon, the instruction to view the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold acts on the short message application icon, the instruction to create a new short message is executed.

[0057] 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., the x, y, and z axes) can be determined by the gyroscope sensor 180B. The gyroscope sensor 180B can be used for anti-shake shooting. Exemplarily, when the shutter is pressed, the gyroscope sensor 180B detects the angle of jitter of the electronic device 100, calculates the distance that the lens module needs to compensate according to the angle, and enables the lens to offset the jitter 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 scenarios.

[0058] The barometric pressure sensor 180C is used to measure the barometric pressure. In some embodiments, the electronic device 100 calculates the altitude according to the barometric pressure value measured by the barometric pressure sensor 180C to assist in positioning and navigation.

[0059] 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 leather 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 according to the magnetic sensor 180D. Furthermore, according to the detected opening and closing state of the leather case or the flip, features such as automatic flip unlocking can be set.

[0060] The acceleration sensor 180E can detect the magnitude of the acceleration of the electronic device 100 in various directions (generally three axes). When the electronic device 100 is stationary, the magnitude and direction of gravity can be detected. It can also be used to identify the posture of the electronic device 100 and is applied to applications such as horizontal and vertical screen switching and pedometers.

[0061] The distance sensor 180F is used to measure distance. The electronic device 100 can measure distance through infrared or laser. In some embodiments, in a shooting scenario, the electronic device 100 can use the distance sensor 180F to measure distance to achieve rapid focusing.

[0062] The proximity light sensor 180G can include, for example, a light-emitting diode (LED) and a light detector, such as a photodiode. The light-emitting diode can be an infrared light-emitting diode. The electronic device 100 emits infrared light outward through the light-emitting diode. The electronic device 100 uses the photodiode to detect the 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 holds the electronic device 100 close to the ear for a call, so as to automatically turn off the screen to achieve the purpose of power saving. The proximity light sensor 180G can also be used for automatic unlocking and locking of the leather case mode and pocket mode.

[0063] The ambient light sensor 180L is used to sense the ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the sensed ambient light brightness. The ambient light sensor 180L can also be used to automatically adjust the white balance during photographing. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in a pocket to prevent accidental touch.

[0064] The fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to achieve fingerprint unlocking, access application locks, fingerprint photographing, fingerprint answering calls, etc.

[0065] The temperature sensor 180J is used to detect temperature. In some embodiments, the electronic device 100 executes a temperature processing strategy using the temperature detected by the temperature sensor 180J. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of the processor near the temperature sensor 180J to reduce power consumption and implement thermal protection. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to prevent abnormal shutdown of the electronic device 100 caused by low temperature. In some other embodiments, when the temperature is lower than yet another threshold, the electronic device 100 boosts the output voltage of the battery 142 to prevent abnormal shutdown caused by low temperature. In the embodiments of the present application, the temperature sensor 180J can detect the user's skin temperature to obtain the user's skin temperature data.

[0066] The touch sensor 180K, also known as the "touch panel". The touch sensor 180K can be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, also known as the "touch screen". The touch sensor 180K is used to detect touch operations applied thereto or nearby. The touch sensor can transmit the detected touch operation to the application processor to determine the type of touch event. Visual output related to the touch operation can be provided through the display screen 194. In some other embodiments, the touch sensor 180K can also be disposed on the surface of the electronic device 100, at a different position from the display screen 194.

[0067] The bone conduction sensor 180M can obtain vibration signals. In some embodiments, the bone conduction sensor 180M can obtain the vibration signals of the vibrating bone mass of the human vocal part. The bone conduction sensor 180M can also contact the human pulse to receive the blood pressure pulsation signal. In some embodiments, the bone conduction sensor 180M can also be disposed in the earphone to form a bone conduction earphone. The audio module 170 can parse the voice signal based on the vibration signal of the vibrating bone mass of the human vocal part obtained by the bone conduction sensor 180M to implement the voice function. The application processor can parse the heart rate information based on the blood pressure pulsation signal obtained by the bone conduction sensor 180M to implement the heart rate detection function.

[0068] An optical heart rate sensor is one of the more popular sensors for heart rate detection in smart wearable devices. It uses electro-optical plethysmography (PPG) to measure heart rate and other biometric metrics. Measurement principle: Light from a capacitive lamp is directed at the skin, and the light reflected back through the skin tissue is received by a photosensitive sensor and converted into an electrical signal. This electrical signal is then converted into a digital signal, and the heart rate is calculated based on the light absorption rate of the blood. In the embodiments of this 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 state index data.

[0069] In the embodiments of this application, sensors such as the optical heart rate sensor, the acceleration sensor 180E, and the gyroscope sensor 180B can jointly detect the user's sleep score, the number of awakenings during sleep (i.e., detect the sleep state index), etc., to obtain the user's sleep state index data.

[0070] In some embodiments, the electronic device 100 may further include an airbag, and the airbag can assist in blood pressure monitoring.

[0071] It can be understood that the structure illustrated in the embodiments of this application does not constitute a specific limitation on the electronic device 100. In other embodiments of this application, the electronic device 100 may include more or fewer components than shown in the figure, or combine certain components, or split certain components, or have different component arrangements. The illustrated components can be implemented in hardware, software, or a combination of software and hardware.

[0072] 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. Among them, different processing units may be independent devices or integrated in one or more processors.

[0073] Among them, the controller can be the nerve center and command center of the electronic device 100. The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

[0074] A memory can also be set in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. This memory can save the instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to use the instruction or data again, it can directly call it from the memory. This avoids repeated accesses, reduces the waiting time of the processor 110, and thus improves the efficiency of the electronic device 100.

[0075] The display screen 194 is used to display user interfaces, images, videos, etc. The display screen 194 includes a display panel. The display panel can adopt a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode or an active-matrix organic light-emitting diode (AMOLED), a flexible light-emitting diode (FLED), a Miniled, a MicroLed, a Micro-oLed, a quantum dot light-emitting diode (QLED), etc.

[0076] 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 through the external memory interface 120 to implement the data storage function. For example, user's physical sign data, images and other data are saved in the external memory card.

[0077] The internal memory 121 can be used to store one or more computer programs, and the one or more computer programs include instructions. The processor 110 can execute the above instructions stored in the internal memory 121, so that the electronic device 100 executes the ovarian health assessment method provided in some embodiments of this application, as well as various functional applications and data processing, etc. The internal memory 121 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system; the program storage area can also store one or more application programs (such as Huawei Health, Contacts, etc.). The data storage area can store the data created during the use of the electronic device 100 (such as the physical sign data of the user). In addition, the internal memory 121 can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0078] Figure 1a The exemplary electronic device 100 can display the various user interfaces described in the following various embodiments through the display screen 194. The electronic device 100 can detect touch operations in each user interface through the touch sensor 180K, such as click operations in each user interface (such as touch operations and double-click operations on icons), and for another example, upward or downward sliding operations in each user interface, or operations of performing a circular gesture, and so on. In some embodiments, the electronic device 100 can detect the motion gestures performed by the user holding the electronic device 100 through the gyroscope sensor 180B, the acceleration sensor 180E, etc., such as shaking the electronic device. In some embodiments, the electronic device 100 can detect non-touch gesture operations through the camera module 193 (such as a 3D camera).

[0079] The software system of the electronic device 100 can adopt a layered architecture, an event-driven architecture, a microkernel architecture, a microservices architecture, or a cloud architecture. In the embodiments of this application, the Android system with a layered architecture is taken as an example to exemplarily illustrate the software structure of the electronic device 100.

[0080] Figure 1b It is the software structure block diagram of the electronic device 100 in the embodiments of this application.

[0081] The layered architecture divides the software into several layers, and each layer has a clear role and division of labor. The layers communicate with each other through software interfaces. In some embodiments, the Android system is divided into four layers, from top to bottom are the application layer, the application framework layer, the Android runtime, and the system library, and the kernel layer.

[0082] The application layer may include a series of application packages.

[0083] As Figure 1b shown, the application packages may include applications such as Huawei Health, Camera, Gallery, Calendar, Call, Navigation, WLAN, Bluetooth, Music, Video, Short Message, etc.

[0084] Among them, the Huawei Health application can provide one or more functions, and at least one of the one or more functions includes the ovarian health assessment function provided by this application, and this function can timely detect abnormal ovarian function of the user. The Huawei Health application can receive the interaction operations of the user on the user interface, such as the operation of the user filling in the questionnaire, the operation of the user importing the inspection report, the operation of the user viewing the ovarian assessment result, etc. The ovarian health assessment function of the Huawei Health application has been clearly introduced in this and subsequent method embodiments, and its name does not constitute a limitation to this application. For example, the Huawei Health application can also be called "Health", "Ovarian Health Monitoring", etc., which is not limited here.

[0085] The application framework layer provides application programming interfaces (APIs) and programming frameworks for the applications in the application layer. The application framework layer includes some predefined functions.

[0086] As Figure 1b shown, the application framework layer may include a window manager, a content provider, a view system, a phone manager, a resource manager, a notification manager, etc.

[0087] The window manager is used to manage window programs. The window manager can obtain the display screen size, determine whether there is a status bar, lock the screen, capture the screen, etc.

[0088] The content provider is used to store and obtain data, and make these data accessible to applications. The data may include the user's physical signs data, images, videos, audios, dialed and answered calls, browsing history and bookmarks, phone book, etc.

[0089] Among them, the user's physical signs data (which can also be called the user's 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, mood, etc. of the user within a preset time period.

[0090] The view system includes visible controls, such as controls for displaying text, controls for displaying pictures, etc. The view system can be used to build applications. The display interface can be composed of one or more views. For example, a display interface including a short message notification icon may include a view for displaying text and a view for displaying pictures.

[0091] The phone manager is used to provide the communication function of the electronic device 100. For example, the management of call status (including answering, hanging up, etc.).

[0092] The resource manager provides various resources for applications, such as localized pictures, strings, icons, layout files, video files, and so on.

[0093] The notification manager enables applications to display notification information in the status bar. It can be used to convey notification-type messages, which can automatically disappear after a short stay without user interaction. For example, the notification manager is used to inform that the download is completed, message reminders, etc. The notification manager can also be a notification that appears in the system top status bar in the form of a chart or scroll bar text, such as the notification of a background-running application, or a notification that appears in the form of a dialog window on the screen. For example, it prompts text information in the status bar, emits a prompt tone, the electronic device vibrates, the indicator light flashes, etc.

[0094] Android Runtime includes a core library and a virtual machine. Android runtime is responsible for the scheduling and management of the Android system.

[0095] The core library consists of two parts: one part is the functional functions that need to be called by the Java language, and the other part is the core library of Android.

[0096] The application layer and the application framework layer run in the virtual machine. The virtual machine executes the Java files of the application layer and the application framework layer as binary files. The virtual machine is used to perform functions such as the management of object life cycles, stack management, thread management, security and exception management, and garbage collection.

[0097] The system library can include multiple functional modules. For example: surface manager, Media Libraries, 3D engine module (such as: OpenGL ES), 2D graphics engine (such as: SGL), ovarian health assessment module, etc.

[0098] The surface manager is used to manage the display subsystem and provides the fusion of 2D and 3D layers for multiple applications.

[0099] The media library supports the playback and recording of multiple common audio and video formats, as well as static image files, etc. The media library can support multiple audio and video coding formats, such as: MPEG4, G.264, MP3, AAC, AMR, JPG, PNG, etc.

[0100] The 3D engine module is used to implement three-dimensional graphic drawing, image rendering, synthesis, and layer processing, etc.

[0101] The 2D graphics engine is a graphics engine for 2D drawing.

[0102] The ovarian health assessment module is used to obtain the user's physical sign data, analyze and process the user's physical sign data according to the ovarian assessment model, and determine the ovarian health assessment result, so as to be able to detect the abnormal ovarian function of the user in time. Further explanations will be given later and will not be elaborated here.

[0103] The kernel layer is the layer between hardware and software. The kernel layer at least includes a display driver, a camera driver, an audio driver, and a sensor driver.

[0104] Figure 1c It is another software structure block diagram of the electronic device 100 in the 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.

[0105] The data acquisition module can obtain the user's physical sign data through devices such as smart watches, rings, and bracelets, such as skin temperature data, heart rate data, respiratory rate data, heart rate variability data, sleep status index data (sleep score, number of awakenings, etc.), and other physiological data that can be used to determine hot flashes, evaluate the level of autonomic nerve function, and sleep disorders. At the same time, combined with questionnaires, more dimensional data of the user can be collected, including but not limited to osteoporosis symptoms, emotional state, etc. The data obtained by the data acquisition module can be used to evaluate the ovarian function of the user.

[0106] The signal processing and feature extraction module can analyze and process the data obtained in the data acquisition module. For example, calculate the frequency of hot flashes of the user according to skin temperature, heart rate, and respiratory rate parameters, calculate the level of autonomic nerve function according to heart rate variability related parameters, calculate the insomnia level according to sleep monitoring indicators, calculate the comprehensive symptom severity score value according to questionnaire input, etc., and convert the original input data into different dimensional symptom characteristics caused by ovarian function decline, and determine the characteristics that can be directly used for ovarian function evaluation.

[0107] The ovarian function assessment module can evaluate the ovarian function according to 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 or high risk of ovarian function decline. Optionally, the ovarian health assessment result can also be further distinguished into medium and high risks according to the severity. The ovarian health assessment result is used to indicate the ovarian health status of the user within a preset time period, and the form of the ovarian health assessment result is not specifically limited in the present application.

[0108] In some embodiments, a software architecture may include a data acquisition module and an ovarian function assessment module. The data acquisition module can obtain user physiological data through devices such as smartwatches, rings, and fitness trackers, 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.). The ovarian function assessment module can directly determine the user's ovarian health assessment result based on the user physiological data obtained by the data acquisition module.

[0109] Please refer to Figure 2 , Figure 2 which is a schematic diagram of an ovarian health assessment system provided by 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 aforementioned electronic device 100. The first electronic device can be a device capable of measuring user physiological data, such as a wearable device. Exemplarily, the first electronic device can be a smartwatch or a smart fitness tracker. The devices connected to the first electronic device can be called second electronic devices. Each of the N second electronic devices connected to the first electronic device can also include some or all of the functions of the aforementioned electronic device 100. The N second electronic devices can include terminals and / or smart homes. For example, the N second electronic devices can include smartphones, smart speakers, body fat scales, air conditioners, blood pressure monitors, etc. It can be understood that the first electronic device can be directly connected to the second electronic device or indirectly connected to the second electronic device. It can be understood that the first electronic device can be indirectly connected to the second electronic device through other devices. In this case, the first electronic device can send information to the second electronic device through other devices. The connection between the first electronic device and the second electronic device can be established through a wireless connection technology or a wired connection. The wireless connection technology can include communication technologies such as Wireless Fidelity (Wi-Fi), Bluetooth, ZigBee, or Near Link. In the present application, no specific limitation is made. It should be noted that the connection methods between the first electronic device and different second electronic devices can be the same or different, and no specific limitation is made in the present application.

[0110] When N is an integer greater than 0, there is at least one second electronic device in the ovarian health assessment system. Some or all of the N second electronic devices can be used as data acquisition devices for collecting user physiological data; some or all of the N second electronic devices can be used as service providing devices for providing services. The services can include music playback services, temperature adjustment services, video playback services, etc.

[0111] The first electronic device can obtain user physiological data (which can also be referred to as the user's physiological parameters) for user ovarian function assessment. Among them, the user physiological data can include skin temperature, heart rate, respiratory rate, heart rate variability, sleep status indicators, blood pressure, body fat, mood, etc. within a preset time period of the user. Some or all of the user physiological data can be obtained through sensors on the first electronic device. Optionally, some of the user physiological data can be obtained through sensors on N second electronic devices. Optionally, the first electronic device can also obtain the data input by the user, and perform user ovarian function assessment based on the user physiological data and the user input data. After the first electronic device determines the ovarian health assessment result of the user (such as the degree of ovarian health of the user), the ovarian health assessment result can be output and fed back to the user, enabling the user to timely detect ovarian function abnormalities.

[0112] Optionally, the first electronic device can also provide an intelligent solution for the user based on the ovarian health assessment result, providing a targeted solution while timely detecting the ovarian function abnormality of the user, thereby alleviating the related symptoms during the ovarian aging process, or helping to delay the ovarian aging speed and enhancing the user experience.

[0113] For example, the intelligent solution can include knowledge push on the first electronic device and / or the second electronic device, such as pushing knowledge related to diet collocation, scientific exercise, healthy life, and improving sleep, to help the user establish good living, diet, and exercise conditions. When the ovarian health assessment system includes N second electronic devices, the intelligent solution can also include linkage with smart home. For example, when the first electronic device predicts the occurrence of hot flashes in the user, it can intelligently adjust the air conditioner temperature and indoor humidity to relieve the user's hot flash symptoms; when the user has poor sleep quality, soothing music can be played through the smart speaker before or during the user's sleep to improve the sleep quality. Further explanations will be provided later, and will not be elaborated here for the time being.

[0114] It can be understood that Figure 2 the ovarian health assessment system in

[0115] The following introduces the user interface provided by the embodiments of the present application.

[0116] Figures 3a - 3i FIG. is a schematic diagram of a group of user interfaces displayed on the first electronic device provided by the embodiments of the present application. The following will be described by taking the first electronic device as a smart watch for example.

[0117] As Figure 3aAs shown, 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, messages, settings, and email. The user interface 20 may also display Figure 3a exercise time records, heart rate tests, temperature tests, sleep monitoring, respiratory rate monitoring, etc. that are not shown in

[0118] such as Figure 3a As shown, the first electronic device can receive a touch operation by the user 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 on the display screen of the first electronic device as Figure 3b shown in the user interface 21. The user interface 21 may include a start detection control 211.

[0119] such as Figure 3b As shown, the first electronic device can receive a touch operation by the user on the start detection control 211 of the user interface 21. Then, the first electronic device can monitor the user's various physical indicators. The first electronic device can also link N second electronic devices to jointly monitor the user's various physical indicators. Furthermore, the first electronic device can obtain the user's physical sign data for user ovarian function assessment. The user's physical sign data may include, but is not limited to, data such as the user's skin temperature, heart rate, respiratory rate, heart rate variability, sleep status indicators, blood pressure, body fat, and mood within a preset time period.

[0120] such as Figure 3c As shown, the user interface 22 may include questionnaire survey content and one or more preset controls. The questionnaire survey content may include one or more questions. When the questionnaire survey content includes multiple questions, the multiple questions may be displayed on the user interface 22 one by one.

[0121] such as Figure 3c As shown in (a) of

[0122] such as Figure 3cAs shown in (b) thereof, questions of a questionnaire survey, such as "Your recent frequency of osteoarticular pain", and three preset controls can be displayed on the user interface 22. The three preset controls respectively correspond to "None", "Occasionally (≤y times per day)", and "Frequently (>y times per day)". Wherein, y is a preset threshold. The first electronic device receives a touch operation of the user 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 the questionnaire survey result input by the user, and can display the next questionnaire survey question on the user interface 22.

[0123] As Figure 3c shown in (c) thereof, questions of a questionnaire survey, such as "Is your recent menstrual period regular", and two preset controls can be displayed on the user interface 22. The two preset controls respectively correspond to "Regular" and "Irregular". The first electronic device receives a touch operation of the user on one of the two preset controls on the user interface 22, records the information corresponding to the preset control selected by the user as the questionnaire survey result input by the user, and displays the next questionnaire survey question on the user interface 22. If there is no new questionnaire survey question, the questionnaire survey 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 no specific limitation is made in this application.

[0124] In some embodiments, the first electronic device can evaluate the ovarian function of the user according to the obtained user physical sign data and the questionnaire survey result input by the user, and can more accurately and timely detect whether the ovarian function of the user is abnormal. How to evaluate the ovarian function of the user will be further described later, and will not be elaborated here.

[0125] After a preset time period, the first electronic device can receive a touch operation of the user on the icon 201 of the ovarian health application control on the user interface 20 (i.e., an operation to open the ovarian health assessment application), restart the ovarian health assessment application, and display on the display screen of the first electronic device as Figure 3d shown in the user interface 23. The user interface 23 may include an ovarian health assessment result.

[0126] As Figure 3d shown in (a) thereof, after the first electronic device evaluates the ovarian function of the user according to the user physical sign data, if the evaluation result is that the risk of ovarian decline of the user is low, a prompt message with a low risk of ovarian decline, such as "Your risk of ovarian function decline is low, please continue to maintain", can be displayed on the user interface 23.

[0127] As Figure 3dAs shown in (b) thereof, after the first electronic device evaluates the user's ovarian function based on the user's physical sign data, if the evaluation result indicates a relatively high risk of ovarian decline for the user, it can display a prompt message of relatively high ovarian decline risk on the user interface 23, such as "Your risk of ovarian function decline is relatively high". Optionally, the prompt message can also include "Click to view relevant improvement suggestions". The user interface 23 also includes a preset control 231. The first electronic device can receive a touch operation of the user on the preset control 231 of the user interface 23, and the display screen of the first electronic device displays the user interface 24 as shown in Figure 3e shown.

[0128] As Figure 3e shown in (a) thereof, the user interface 24 includes knowledge push content, which is determined according to the user's ovarian evaluation result. The knowledge push content can be "Appropriately performing XX exercises, matching XX ingredients, and adopting XX work and rest patterns can improve your ovarian health".

[0129] As Figure 3e shown in (b) thereof, when the first electronic device is connected to N second electronic devices, and the N second electronic devices include smart homes, such as speakers, the user interface 24 can include linkage smart home information, and the linkage smart home information can be a prompt message for prompting whether to link the smart home. For example, the user interface 24 displays a prompt message of "Is the recommended sleep aid audio played for you?". The user interface 24 can also include two preset controls, which respectively correspond to "Yes" and "No". The first electronic device receives a touch operation of the user 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 can instruct the speaker to play the recommended audio. The first electronic device links the smart home according to the user's ovarian evaluation result to change the user environment, thereby improving the user's ovarian health and enhancing the user experience.

[0130] 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, improve the user environment, assist the user to enter the sleep state, and enhance the user experience.

[0131] As Figure 3eAs shown in (c), the user interface 24 may include intelligent consultation information, which may be a prompt for the user to confirm whether to synchronize the evaluation results with the doctor, such as "Your ovarian evaluation 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 respectively correspond to "Yes" and "No". The first electronic device receives a touch operation of the user 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 evaluation result to the target application, which may be a system application and / or a third-party application. The target application presents the ovarian health evaluation result and / or relevant detection data to the doctor with the user's consent, thereby reducing the complexity of the user's consultation, improving the accuracy and efficiency of the doctor's diagnosis, realizing intelligent consultation services, and enhancing the user experience.

[0132] As Figure 3f shown, during the process of the first electronic device detecting the user's physical sign data, if the first electronic device detects that the user has hot flashes according to the determined physical sign data, the first electronic device displays the user interface 25. The user interface 25 includes a hot flash confirmation prompt, which may be "It is detected that your skin temperature and heart rate have fluctuated significantly in the past XX minutes. Have you had a hot flash?" The user interface 25 may also include two preset controls, which respectively correspond to "Yes" and "No". The first electronic device receives a touch operation of the user on one of the two preset controls of the user interface 24. If the preset control selected by the user corresponds to "No", the first electronic device may optimize the hot flash detection algorithm according to the user's feedback on the hot flash. It should be noted that during the process of the first electronic device evaluating the user's ovaries based on the user's physical sign data, it may first detect the user's hot flash according to the user's physical sign data and the hot flash detection algorithm, and then use the user's hot flash as a feature to evaluate the user's ovaries. This will be described in detail later and will not be elaborated here.

[0133] As Figure 3g shown, before the preset time period, after the first electronic device receives the operation of the user on the ovarian health application control 201 of the user interface 20, it may display the user interface 26. The display content of the user interface 26 may include a detection in progress prompt, and the display content of the user interface 26 may also include an evaluation progress. Figure 3g The evaluation progress is displayed in the form of a progress bar in , and the evaluation progress may also be displayed in the form of a progress ring, numbers, etc. This is not specifically limited in this application.

[0134] As Figure 3hAs shown, after the first electronic device determines the ovarian assessment result of the user, it can also display the user interface 27. For example, when the first electronic device receives a preset operation by the user on the user interface 20, it can display the user interface 27. Among them, the preset operation can include but is not limited to a left swipe operation, a right swipe operation, an air operation, etc., which are not specifically limited in this application. The user interface 27 can be a display interface for the user's symptom information. The user interface 27 can be used to display the user's symptom information, and the symptom information can include but is not limited to the user's hot flash frequency, sleep status index, etc., facilitating the user to view information related to themselves and improving the user experience.

[0135] As Figure 3h shown in (a) therein, the user interface 27 includes the user's hot flash frequency. For example, the user's hot flash frequency is 10 per day. Optionally, the user interface 27 can also include the number of hot flashes the user has each day within a preset time period. For example, the user has 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.

[0136] As Figure 3h shown in (b) therein, the user interface 27 includes the user's sleep status index. For example, the user's sleep status index is excellent. Optionally, the user interface 27 can also include the user's daily sleep scores within a preset time period. For example, the user's sleep score is 90 on the first day, 81 on the second day, 91 on the third day, and 78 on the fourth day.

[0137] As Figure 3i shown, the user interface 23 can also include information compared with peers. Optionally, the first electronic device can draw a relationship graph between age and ovarian health as Figure 3i shown. Optionally, the first electronic device can also determine the ovarian health corresponding to each age based on the relationship between age and ovarian health, so as to draw a mean line as Figure 3i shown therein. Optionally, the first electronic device can obtain the user's age, and then the first electronic device can determine the position of the user's current ovarian health in the relationship graph between age and ovarian health based on the user's age and ovarian health degree, so as to prompt the user about their own ovarian health compared with peers, thereby improving the user experience.

[0138] When the first electronic device is connected to N second electronic devices, Figures 4a - 4e This is a schematic diagram of a group of user interfaces displayed on the second electronic device provided by the embodiment of this application. Hereinafter, the second electronic device is a smart phone for illustration.

[0139] As Figure 4aAs shown, the user interface 30 displays one or more installed application icons. For example, the user interface 30 displays Huawei Health 301, Smart Home 302, Clock, Calendar, Memo, File Manager, Email, Music, Calculator, Huawei Video, Sports Health, Weather, Browser, Smart Life, Settings, Recorder.

[0140] As Figure 4a shown, the second electronic device can receive a touch operation by the user on the Huawei Health 301 icon of the user interface 30 (i.e., the operation to open the Huawei Health application), start the Huawei Health application, and display on the display screen of the second electronic device as Figure 4b shown. The user interface 31 may include an ovarian health assessment control 3011, setting medication conditions 3012, and inputting a physical examination report 3013.

[0141] As Figure 4b shown, the second electronic device can receive a touch operation by the user on the ovarian health assessment control 3011 of the user interface 31, and then display on the display screen as Figure 4c shown. The user interface 32 may include ovarian health assessment result information. Optionally, the user interface 32 may further include knowledge push information determined according to the ovarian health assessment result.

[0142] As Figure 4a shown, the second electronic device can receive a touch operation by the user on the Smart Home 302 icon of the user interface 30 (i.e., the operation to open the Smart Home application), start the Smart Home application, and display on the display screen of the second electronic device as Figure 4d shown. The user interface 33 may include the connection status of smart home devices. 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 monitor 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 smartphones) and smart home devices. Online can be understood as that the smart terminal can establish a connection with the smart home device, so as to realize the whole-house intelligent function. In some embodiments, the indirect connection between the smart terminal and the smart home device can be achieved through the smart terminal, and the smart terminal can manage the home appliances. Specifically, when the first electronic device establishes a connection with the smart terminal, the smart terminal can establish a connection with the smart home device, and then the first electronic device can indirectly establish a connection with the smart home device. The user interface 33 may further include a preset control 330. The second electronic device can receive a touch operation by the user on the preset control 330 of the user interface 33 to establish a new connection with other smart home devices.

[0143] As Figure 4eAs shown in (a) in [the figure], after the second electronic device receives an operation by the user on the ovarian health assessment control 3011 of the user interface 31 before the preset time period, it can display the user interface 32 as shown in Figure 4e (a) in [the figure]. The user interface 32 may include a no-data prompt message, such as "No data on ovarian health risk". Optionally, the user interface 32 may further include a relationship graph between age and ovarian health level. Optionally, the second electronic device may draw a relationship graph between age and ovarian health level as shown in Figure 4e (a) in [the figure] based on the relationship between age and ovarian health level. Optionally, the second electronic device may also determine the ovarian health level corresponding to each age based on the relationship between age and ovarian health level to draw a mean line as shown in Figure 4e (a) in [the figure].

[0144] As Figure 4e shown in (b) in [the figure], after the second electronic device receives an operation by the user on the ovarian health assessment control 3011 of the user interface 31 after the preset time period, it can display the user interface 32 as shown in Figure 4e (b) in [the figure]. The user interface 32 may include the user's ovarian health assessment result, such as a relatively low ovarian health risk. Optionally, the user interface 32 may further include a relationship graph between age and ovarian health level. Optionally, the second electronic device may draw a relationship graph between age and ovarian health level as shown in Figure 4e (b) in [the figure] based on the relationship between age and ovarian health level. Optionally, the second electronic device may also determine the ovarian health level corresponding to each age based on the relationship between age and ovarian health level to draw a mean line as shown in Figure 4e (b) in [the figure]. Optionally, the second electronic device may obtain the user's age, and then the second electronic device may determine the position of the user's current ovarian health level in the relationship graph between age and ovarian health level based on the user's age and ovarian health degree to prompt the user about their own ovarian health condition compared with their peers, thereby enhancing the user experience. Optionally, the user interface 32 may further include result interpretation content, such as the result interpretation content may be "It is found that the risk of premature ovarian failure is low. It is recommended to avoid sitting for long periods, refrain from overeating more stimulating foods, and maintain a good mindset."

[0145] Figure 5 FIG. [X] is a schematic diagram of a user interface displayed on a third electronic device provided in an embodiment of the present application. Hereinafter, the third electronic device is described as a smartwatch.

[0146] The first electronic device and the third electronic device are bound as family members through the cloud server. After the first electronic device evaluates the user's ovaries based on the user's physical sign data, the first electronic device can send the ovarian health assessment result to the cloud server. The cloud server can determine the family care prompt information based on the ovarian health assessment result, and the cloud server can send the family care prompt information to the third electronic device. After receiving the family care prompt information, the third electronic device can display a user interface 40 as shown in Figure 5 The user interface 40 may include family care prompt information (which may also be referred to as relative care). The relative care may be "Your family member XX may have significant mood swings recently. Please give appropriate attention."

[0147] Next, in combination with the attached Figure 6 The ovarian health assessment method provided by the embodiments of the present application will be introduced in detail as follows:

[0148] Optionally, step S501: The first electronic device establishes a connection with N second electronic devices.

[0149] Specifically, the first electronic device may be a device such as a wearable device that can be used to measure the user's physiological data. Exemplarily, the first electronic device may be a smart watch, a smart bracelet, a smart ring, etc. N may be an integer greater than 0. The N second electronic devices may include terminals and / or smart homes. For example, the N second electronic devices may include a smart phone, a smart speaker, a body fat scale, an air conditioner, a blood pressure monitor, etc. The first electronic device can establish a connection with the N second electronic devices through wireless technology, so that the first electronic device can work in cooperation with the N second electronic devices.

[0150] It can be 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 can be understood that the first electronic device can be indirectly connected to the second electronic device through other devices. At this time, the first electronic device can send information to the second electronic device through other devices.

[0151] Optionally, step S502: The first electronic device sends a binding request to the cloud server.

[0152] Specifically, the first electronic device can establish a first relationship with the third electronic device, and the first electronic device can send a binding request to the cloud server, which 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 smart phone, a smart watch, etc. When the first electronic device and the third electronic device establish a first relationship, 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, and the cloud server can determine the 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, so as to realize the first electronic device to link the third electronic device to care for relatives and friends, such as pushing to relatives and friends the physical discomfort, emotional fluctuations, etc. that the user may experience, so that relatives and friends can prepare in advance, give more care, avoid emotional conflicts, and reduce the user's discomfort.

[0153] Optionally, step S503: the cloud server sends binding confirmation information to the third electronic device.

[0154] 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 to establish the first relationship with the first electronic device.

[0155] Optionally, step S504: the third electronic device sends confirmation binding information to the cloud server.

[0156] Specifically, after the user confirms on the third electronic device that the first relationship is established with the first electronic device, the third electronic device may send binding confirmation information to the cloud server.

[0157] Optionally, step S505: the cloud server sets the first electronic device and the third electronic device to be in a first relationship.

[0158] Specifically, the first relationship may include family relationship, friend relationship, relative relationship, etc.

[0159] It should be noted that steps S502 to S504 may be executed at any time after step S501 and before step S519, or may be executed before step S501, and are not specifically limited in this application.

[0160] Optionally, step S506: the first electronic device displays an application interface, where the application interface includes an ovarian health application control.

[0161] 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. For a detailed description of the user interface 20, reference may be made to the above description of Figure 3a , which will not be repeated here. The application interface may also be the user interface 30 mentioned above. For a detailed description of the user interface 30, reference may be made to the above description of Figure 4a , which will not be repeated here.

[0162] Step S507: The first electronic device receives an operation by the user on the ovarian health application control of the application interface, and displays a start detection interface of the ovarian health assessment application. The start detection interface includes a start detection control.

[0163] Specifically, the start detection interface may be the user interface 21, and the start detection control included in this start detection interface may be the start detection control 211. For a detailed description of the user interface 21, reference may be made to the above description of Figure 3b , which will not be repeated here. The start detection interface may also be the interface displayed after the user performs a touch operation on the ovarian health assessment control 3011 on the user interface 31. This interface may include a start detection control.

[0164] In some embodiments, the start detection interface may be the first interface, and the start detection control may be the first control.

[0165] Step S508: The first electronic device receives a first operation by the user on the start detection control of the start detection interface, and obtains first data.

[0166] Specifically, the first data can be understood as the data detected by the first electronic device. The first data includes the user's heart rate variability data within a preset time period. The first data may also include one or more of the user's heart rate data within a preset time period and the user's respiratory rate data within a preset time period. The first data may also include one or more of the user's skin temperature data within a preset time period and the user's sleep state indicators within a preset time period. When the first electronic device receives a first operation by the user on the start detection control of the start detection interface, the first data can be obtained. Optionally, when the first electronic device receives a first operation by the user on the start detection control of the start detection interface, the first electronic device can monitor the user's first physical sign indicators within a preset time period; after the preset time period, the first electronic device obtains the first data. Multiple sensors can be integrated on the first electronic device, such as a temperature sensor, an optical heart rate sensor, a gyroscope sensor, an acceleration sensor, etc. The user's first physical sign indicators can include heart rate variability, and the user's first physical sign indicators can also include heart rate, skin temperature, respiratory rate, sleep score, the number of awakenings during sleep, etc. The first operation can be a touch operation, a swipe operation, an air operation, etc. For example, the user can touch the start detection control 211 on the first electronic device, the first electronic device can receive the operation of the user on the start detection control of the start detection interface, the first electronic device can activate the temperature sensor to detect the user's skin temperature, and the first electronic device can activate the optical heart rate sensor to detect the user's heart rate, respiratory rate, heart rate variability, etc. The first electronic device can also activate sensors such as the optical heart rate sensor, the acceleration sensor, and the gyroscope sensor to jointly detect the user's sleep score, the number of awakenings during sleep (i.e., the sleep state indicator), etc.

[0167] In some embodiments, the user's sleep parameters within a preset time period may include a sleep score, the number of awakenings during sleep, etc.

[0168] Optionally, step S509: The first electronic device obtains second data from M of the N second electronic devices.

[0169] Specifically, N is an integer greater than 0, and M is an integer greater than 0 and 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 the historical data detected by 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 emotion data. In some embodiments, the second data may include the blood pressure data within a preset time period in the user's historical blood pressure data, the body fat data within a preset time period in the historical body fat data, and the emotion data within a preset time period in the historical emotion data. Optionally, the second data may also be the data stored in the M second electronic devices. For example, if the M second electronic devices include smartphones, the second data may also be the historical heart rate data stored in the smartphones. Optionally, the data stored in the M second electronic devices may be the data determined by some or all of the N second electronic devices for monitoring the user's physical signs. Optionally, the data stored in the M second electronic devices may also be the data determined by other devices outside the N second electronic devices for detecting the user's physical signs.

[0170] In some embodiments, the first electronic device may send a detection request to the N second electronic devices simultaneously with or after receiving the user's operation on the start detection control of the start detection interface; the first electronic device obtains the 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, when 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; the detection request sent by the first electronic device to the smart screen may include a request to detect the user's emotion. The second data can be understood as the 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 emotion data detected by the smart screen within a preset time period.

[0171] In some embodiments, step S509 may be before step S508, or step S509 may also be after step S508, and no specific limitation is made in this application.

[0172] Step S510: The first electronic device determines the user's physical sign data according to the first data.

[0173] Specifically, the user's physical sign data may include some or all of the data in the first data. For example, the user's physical 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 index within a preset time period, etc. The user's physical sign data can be used as the basis for evaluating the user's ovarian health, so as to determine the user's ovarian health condition.

[0174] In some embodiments, the first electronic device may obtain the second data from M of the N second electronic devices, as in step S509. Furthermore, the first electronic device determines the user's physical sign data based on the first data and the second data.

[0175] Specifically, the user's physical sign data may include the first data and the second data. For example, the user's physical 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 status 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 mood data within a preset time period, etc. The user's physical sign data can be used as the basis for evaluating the user's ovarian health, that is, the input data of the ovarian function evaluation model can be determined according to the user's physical sign data. In this application, the advantages of multi-device collaboration can be fully utilized to collaborate with multiple intelligent devices to provide more comprehensive monitoring of various physical indicators, achieve multi-dimensional and comprehensive ovarian health evaluation, and improve the accuracy of ovarian health evaluation results.

[0176] In some embodiments, the first electronic device may also obtain the user information and determine the ovarian health evaluation result according to the user information and the user's physical sign data. Among them, the user information includes one or more of the user's medication, alcohol consumption, medical history, and sleep environment temperature. It can be understood that the user information may include, but is not limited to, information such as the user's medication, alcohol consumption, medical history, and sleep environment temperature, and the embodiments of this application are not limited.

[0177] In one possible implementation, the first electronic device may pre-process the user's vital sign data according to the user information, determine the pre-processed user's vital sign data, and then evaluate the user's ovarian health according to the pre-processed user's vital sign data. In the embodiment of the present application, considering that some of the acquired user's vital sign data may have abnormal fluctuations, if used directly, it will lead to a decrease in the accuracy of subsequent feature extraction, affecting 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 according to the user information, effectively improving the accuracy of feature extraction and improving the accuracy of ovarian health assessment.

[0178] In some embodiments, the above-mentioned preprocessing may include that the first electronic device determines, based on the 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 it causes abnormal characteristic data, the abnormal data can be eliminated so that the affected characteristic data does not participate in the analysis.

[0179] 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 have large fluctuations during the user's awake period, such as filtering the heart rate data during the user's awake period, filtering the respiratory rate data during the user's awake period, etc.

[0180] 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 heart rate data during the abnormal period, respiratory rate data during the abnormal period, etc.

[0181] 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.

[0182] Step S511: The first electronic device determines an ovarian health assessment result based on the user's physical sign data.

[0183] Specifically, the first electronic device can determine the ovarian health assessment result according to the ovarian function assessment model and the user's physical sign data. The ovarian function assessment model can be a neural network algorithm, a weighted algorithm, etc., and the embodiment of the present application does not limit the ovarian function assessment model. The ovarian function assessment model can extract features from the user's physical sign data, or analyze the user's physical sign data, and then assess the user's ovarian health.

[0184] In some embodiments, the first electronic device may use the user's physical sign data as the input data for the ovarian health assessment model, and the ovarian assessment model may directly analyze and process the user's physical sign data to determine the user's ovarian health condition.

[0185] In some embodiments, the first electronic device determines target data based on the user's physical sign data; the first electronic device determines an ovarian health assessment result based on the target data and the ovarian function assessment model.

[0186] Specifically, the target data can be understood as the input data obtained by processing the user's physical sign data and then input into the ovarian function assessment model.

[0187] In some embodiments, the target data may be the score value corresponding to each physical sign index after scoring multiple physical sign indexes included in the user's physical sign data. Specifically, the first electronic device may score multiple physical sign indexes included in the user's physical sign data. For example, if 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, 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, and the user's emotion data within a preset time period, the first electronic device may score each physical sign index included in the user's physical sign data to determine the target data. For example, the first electronic device may record the score of the heart rate data within the preset time period as n1, the first electronic device may record the score of the respiratory rate data within the preset time period as n2, the first electronic device may record the score of the heart rate variability data within the preset time period as n3, the first electronic device may record the score of the skin temperature data within the preset time period as n4, the first electronic device may record the score of the sleep state index within the preset time period as n5, the first electronic device may record the score of the blood pressure data within the preset time period as n6, the first electronic device may record the score of the body fat data within the preset time period as n7, and the first electronic device may record the score of the emotion data within the preset time period as n8. Among them, n1, n2, n3, n4, n5, n6, n7, and n8 may be used as the target data. Then, the first electronic device may substitute the scores of each physical sign index into the calculation according to Formula 1. The score of each physical sign index is multiplied by its corresponding weight and then summed with other terms. The first electronic device may determine the ovarian health score of this user. It should be noted that Formula 1 may be the ovarian health assessment model provided by the embodiments of the present application. Formula 1 is only one implementation manner provided by the embodiments of the present application and does not specifically limit the ovarian assessment model in the present application. Further, the first electronic device may preset the mapping relationship between the ovarian health score and the ovarian health degree in advance. For example, the ovarian health degree corresponding to the first score interval is low risk, and the ovarian health degree corresponding to the second score interval is high risk, etc. After determining the ovarian health score of the user, the first electronic device may determine the current ovarian health degree of the user according to the preset mapping relationship, so as to realize multi-dimensional and comprehensive ovarian health assessment and improve the accuracy of the ovarian health assessment result.

[0188]

[0189] Among them, F may represent the ovarian health score of the user, and α i may represent the weight corresponding to the physical sign index, and n i may represent the score of the physical sign index.

[0190] In some embodiments, the target data may be symptom information. 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 evaluate the level of autonomic nerve function according to each physical sign index in the user's physical sign data. The first electronic device may also determine the physiological data of the user's sleep disorder according to each physical sign index in the user's physical sign data. The symptom information may include one or more of the user's hot flash condition (which may also be referred to as the hot flash frequency) and the user's autonomic nerve function level, and the user's sleep disorder condition.

[0191] In some embodiments, the target data may be the score value corresponding to the scoring of the user's symptom indicators. Specifically, the first electronic device may first determine the user's symptom indicators (which may be referred to as symptom information) based on multiple 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 indicator within a preset time period. The first electronic device may determine the user's hot flash frequency and evaluate the level of autonomic nerve function based on each physical sign indicator in the user's physical sign data. The first electronic device may also determine the physiological data of the user's sleep disorder 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 situation (which may also be referred to as hot flash frequency) and the user's autonomic nerve function level, and the user's sleep disorder situation. The user's symptom indicators may also include other symptom indicators, which are not specifically limited in this application. Further, the first electronic device may score each indicator included in the user's symptom indicators respectively to determine the target data. For example, the first electronic device may record the score of the user's hot flash situation (such as hot flash frequency) as N1, the first electronic device may record the score of the user's autonomic nerve function level as N2, and the first electronic device may record the score of the user's sleep disorder situation (such as insomnia level) as N3. Among them, N1, N2, and N3 may be used as the target data. Then, the first electronic device may substitute the scores of each symptom indicator (which may be used as the target input data) into the calculation according to Formula 2. The score of each symptom indicator is multiplied by its corresponding weight and then summed with other terms to determine the ovarian health score of this user. It should be noted that Formula 2 may be the ovarian health assessment model provided by the embodiments of this application. Formula 2 is only one implementation manner provided by the embodiments of this application and does not specifically limit the ovarian assessment model in this application. Further, after determining the ovarian health score of the user, the first electronic device may determine the current ovarian health degree of the user according to the pre-set mapping relationship, so as to realize multi-dimensional and comprehensive ovarian health assessment and improve the accuracy of the ovarian health assessment result. In the embodiments of this application, the original input data is transformed into symptoms of different dimensions caused by ovarian function decline, and the features that can be directly used for ovarian function assessment are determined, which is convenient for more accurate assessment of the user's ovarian health.

[0192]

[0193] Among them, F may represent the ovarian health score of the user, may represent the weight corresponding to the symptom indicator, N i may represent the score of the symptom indicator.

[0194] It should be noted that the ovarian health level can be a low risk or a high risk of ovarian function decline. Optionally, the ovarian health level can be further divided into medium and high risks according to the severity, etc.

[0195] In some embodiments, the first electronic device can analyze and process the user's heart rate data within a preset time period and the user's respiratory rate data within a preset time period according to a hot flash detection algorithm, and can determine the user's hot flash situation, which may include the hot flash frequency; the first electronic device can also determine the user's hot flash situation according to 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. For example, a weight can be preset for each of the above user physical sign indicators, and then each of the above user physical sign indicators can be scored. Furthermore, the score of each user physical sign indicator can be multiplied by the preset weight and added to other items to determine the user's hot flash situation.

[0196] 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 occurring currently, and the fourth control is used for the user to confirm that a hot flash is not occurring currently; the operation of the user on the third control or the fourth control is received.

[0197] Specifically, when one or more of the heart rate data, respiratory rate data, and skin temperature data meet the first condition, the first electronic device can determine that the user has a hot flash, so that a hot flash confirmation interface, that is, the fourth interface, can be displayed on the first electronic device. The hot flash confirmation interface includes two preset controls, which can be the third control and the fourth control respectively. The third control can be used for the user to confirm that a hot flash is occurring currently, and the fourth control is used for the user to confirm that a hot flash is not occurring currently; the first electronic device receives the input operation of the user on the hot flash confirmation interface. The hot flash confirmation interface can be Figure 3f the user interface 25 in Figure 3f For a detailed description of the user interface 25, reference can be made to the above description of

[0198] In the embodiments of the present application, when a hot flash is detected, the first electronic device can prompt the user to confirm whether a hot flash has occurred, and then can adjust the parameters involved in the first condition according to the user's feedback. For example, the first preset threshold in the first condition can be adjusted according to the user's feedback, which improves the accuracy of the first electronic device in detecting whether the user has a hot flash, thereby enhancing the accuracy of ovarian function assessment and improving the user's individual interaction experience.

[0199] In some embodiments, the first condition is that the data change amplitude of one or more of the heart rate data, respiratory rate data, and skin temperature data within a first time interval within a preset time period is greater than or equal to a first preset threshold.

[0200] Specifically, the first time interval is a time interval within the 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 fluctuate greatly within a short time, it can be determined that the user has a hot flash.

[0201] In some embodiments, the first electronic device can determine the user's autonomic nerve function level according to the heart rate variability data of the user within a preset time period.

[0202] In some embodiments, the first electronic device can determine the user's sleep disorder situation (such as the insomnia level) according to the sleep state indicators (such as sleep score, number of awakenings) of the user within a preset time period.

[0203] In some embodiments, the user's physical sign data may further include questionnaire survey data. Specifically, the first electronic device can also display a user questionnaire interface, and the user can input the questionnaire survey results on the user questionnaire interface. The user questionnaire interface can be the above-mentioned user interface 22. For a detailed description of the user interface 22, reference can be made to the above description of Figure 3c which will not be repeated here. The user questionnaire interface can be the third interface. The first electronic device can receive the input operation of the user on the user questionnaire interface, and determine the ovarian health assessment result according to the ovarian function assessment model and the user's physical sign data. The questionnaire survey content includes but is not limited to osteoporosis symptoms, emotional state, etc. In the embodiments of the present application, the first electronic device can combine the questionnaire survey to collect more dimensional data of the user, including but not limited to osteoporosis symptoms, emotional state, etc., which can be used as the input data of the ovarian health assessment model together to achieve multi-dimensional and comprehensive ovarian health assessment and improve the accuracy of the ovarian health assessment result. In a possible implementation manner, the questionnaire survey data includes the user's questionnaire survey results. In another possible implementation manner, the first electronic device can score the questionnaire survey results input by the user, and the questionnaire survey data can include the score of the questionnaire survey results.

[0204] In some embodiments, the first electronic device may obtain user physical examination data, which may include, but is not limited to, the test results of Anti-Mullerian hormone (AMH) and Follicle-stimulating hormone (FSH). The first electronic device may optimize the ovarian function evaluation model according to the user physical examination data, such as the parameter thresholds in the ovarian function evaluation model. In the embodiments of the present application, the first electronic device optimizes the parameter thresholds in the ovarian function evaluation model by obtaining the corresponding hormone level information of the user and using the ovarian health degree corresponding to the hormone level as the gold standard for the current ovarian health degree of the user, re-establishing the model baseline, etc., so as to improve the accuracy of subsequent detections.

[0205] Step S512: After a preset time period, the first electronic device receives an operation of the user on the ovarian health application control on the application interface, and displays a detection result interface, and the display content of the detection result interface includes an ovarian health evaluation result.

[0206] Specifically, after a preset time period, when the user re-opens the ovarian health evaluation application, the ovarian health evaluation result can be displayed on the first electronic device. The detection result interface can be the user interface 23 mentioned above. For a detailed description of the user interface 23, reference can be made to the above description of Figure 3d which will not be repeated here. The detection result interface can be the second interface. In the embodiments of the present application, by displaying the ovarian health evaluation result of the user on the first electronic device, abnormal ovarian function of the user can be detected in time. If the symptoms of abnormal ovarian aging can be detected early, related symptoms caused by ovarian aging can be improved.

[0207] In some embodiments, before the preset time period, when the first electronic device receives an operation of the user on the ovarian health application control on the application interface, a detecting interface can be displayed, and the display content of the detecting interface can include an evaluation progress, which can be displayed in the form of a progress bar. The detecting interface can be the user interface 26 mentioned above. For a detailed description of the user interface 26, reference can be made to the above description of Figure 3g which will not be repeated here.

[0208] 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 evaluation result.

[0209] Specifically, the knowledge push interface can be the user interface 24 mentioned above. For a detailed description of the user interface 24, reference can be made to the above description of Figure 3dThe description of (a) in the figure is not repeated here. In the 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 life, and improved sleep, to help users establish a good life, diet, and exercise, and to provide targeted solutions while timely discovering users' ovarian dysfunction, thereby slowing down the aging of the ovaries.

[0210] In some embodiments, the first electronic device may display the knowledge push content on the negative first screen of the first electronic device.

[0211] In some embodiments, the first electronic device can synchronize the ovarian health assessment result to some or all of the N second electronic devices, and can display an ovarian health assessment result interface on the second electronic device, and the ovarian health assessment result interface can display the ovarian health assessment result. The ovarian health assessment result interface can be the user interface 32 mentioned above. For a detailed description of the user interface 32, see the above description of Figure 4c The description is not repeated here.

[0212] 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.

[0213] Specifically, the first electronic device can also link with the smart home to adjust the user's spatial 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.

[0214] 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 lower than a second preset threshold, and if it is lower than the second preset threshold, the first information is sent to the smart speaker; the first information is used to instruct the smart speaker to play audio. Specifically, the user's sleep quality can be determined based on the sleep score in the sleep parameters (also called sleep state indicators) and / or the number of times the user is awake.

[0215] 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.

[0216] In some embodiments, among the N second electronic devices, there is a smart air conditioner. During a preset time period, the target moment when the user has a hot flash is predicted, and a second message is sent to the smart air conditioner before the target moment; the second message is used to instruct the smart air conditioner to adjust the current temperature.

[0217] Optionally, the first electronic device can provide the user with options for adjusting the temperature of the smart air conditioner, and the user can select or preset the adjustment range of the air conditioner temperature.

[0218] In some embodiments, the first electronic device can predict the time when the user has a hot flash based on the user's physical sign data.

[0219] Optionally, in step S515: Some or all of the N second electronic devices receive a request to adjust the user's spatial environment and adjust the user's spatial environment.

[0220] Optionally, in step S516: The first electronic device uploads the ovarian health assessment result to the cloud server.

[0221] In some embodiments, the first electronic device can also send a first request to the cloud server. The first request is used to instruct the cloud server to determine a care prompt message based on the ovarian health assessment result and send the care prompt message to the third electronic device.

[0222] Optionally, in step S517: The cloud server determines a care prompt message based on the ovarian health assessment result.

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

[0224] In some embodiments, after receiving the ovarian health assessment result, the cloud server can determine a care prompt message based on the ovarian health assessment result.

[0225] Optionally, in step S518: The cloud server sends the care prompt message to the third electronic device according to the first relationship.

[0226] Optionally, in step S519: The third electronic device receives the care prompt message; the third electronic device displays a care prompt interface, and the care prompt interface includes the care prompt message.

[0227] Specifically, the first electronic device can also link with the family member device (i.e., the third electronic device) for family and friend care. For example, it can push to family and friends the possible physical discomforts, mood swings, etc. of the user, so that family and friends can make preparations in advance, give more care, avoid emotional conflicts, and reduce the discomfort of the user. The family care prompt interface can be the user interface 40 mentioned above. For a detailed description of the user interface 40, reference can be made to the above description of Figure 5The description is not repeated here. The family care reminder interface can be the fifth interface.

[0228] In some embodiments, the first electronic device can send the ovarian health assessment result to the target electronic device among the 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 applications of the first electronic device and / or the second electronic device. The third-party application can push relevant products according to the ovarian health assessment result. For example, Douyin can push short videos for easy reservation, and Taobao can push products that can be used to relieve related symptoms.

[0229] In some embodiments, the first electronic device can send the ovarian health assessment result to the target application. The target application can be a system application and / or a third-party application. The target application presents the ovarian health assessment result and / or relevant detection data to the doctor with the user's consent, thereby reducing the complexity of the user's consultation, improving the accuracy and efficiency of the doctor's diagnosis, and thus realizing intelligent consultation services and enhancing the user experience.

[0230] In some embodiments, the first electronic device can push content related to assisted reproductive technology according to the ovarian health assessment result. For example, it can provide knowledge related to assisted reproduction for users with fertility needs.

[0231] In some embodiments, the first electronic device can perform some or all of the steps from step S508 to step S510 through the above-mentioned Figure 1c data acquisition module.

[0232] In some embodiments, the first electronic device can perform some or all of the steps in step S511 through the above-mentioned Figure 1c ovarian function assessment module.

[0233] In some embodiments, the first electronic device can determine the target data according to the user's physical sign data through the above-mentioned Figure 1c signal processing and feature extraction module.

[0234] In summary, in the 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), and obtain first data. The first data at least includes the user's heart rate variability data within a preset time period. The user's physical sign data can include the first data. The user's physical sign data can be used as a basis for the user's ovarian health assessment, and the ovarian health assessment result can be determined according to the user's physical sign data. In the present application, the user's ovarian health can be evaluated based on the user's heart rate variability data, without evaluating the user's ovarian health according to endocrine detection, providing a portable and low-cost ovarian health assessment solution. Further, after the preset time period, a detection result interface can be displayed on the first electronic device, and the display content of the detection result interface includes the ovarian health assessment result. By displaying the user's ovarian health assessment result on the first electronic device, the abnormal ovarian function of the user can be detected in time. If the symptoms of abnormal ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved.

[0235] Please refer to Figure 7 , Figure 7 which is a schematic flowchart of another ovarian health assessment method provided by the embodiment of the present application. This ovarian health assessment method is applied to the first electronic device and is described in detail as follows:

[0236] Step S601: The first electronic device displays the first interface.

[0237] Specifically, the first interface includes the first control. For the specific implementation of step S601, reference can be made to the detailed introduction of step S507 in the foregoing Figure 6 and will not be repeated here.

[0238] Step S602: The first electronic device receives the first operation acting on the first control.

[0239] Specifically, the first operation can be a touch operation, a swipe operation, an air operation, etc.

[0240] Step S603: The first electronic device obtains the first data.

[0241] Specifically, the first data includes the user's heart rate variability data within a preset time period. For the specific implementation of step S603, reference can be made to the detailed introduction of step S508 in the foregoing Figure 6 and will not be repeated here.

[0242] Step S604: The first electronic device determines the ovarian health assessment result according to the user's physical sign data.

[0243] Specifically, the user's physical sign data includes first data; the ovarian health assessment result is used to indicate the user's ovarian health condition within a preset time period. For the specific implementation of step S604, reference can be made to the detailed introduction of step S510 and step S511 in the foregoing text, which will not be repeated here. Figure 6 For the detailed introduction of step S510 and step S511 in the foregoing text, which will not be repeated here.

[0244] Step S605: After the preset time period, the first electronic device displays a second interface.

[0245] Specifically, the display content of the second interface includes the ovarian health assessment result. For the specific implementation of step S605, reference can be made to the detailed introduction of step S512 in the foregoing text, which will not be repeated here. Figure 6 For the detailed introduction of step S512 in the foregoing text, which will not be repeated here.

[0246] In summary, in the 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), and obtain the first user physical sign data. At least the heart rate variability data of the user within a preset time period is included in the first user physical sign data. The user physical sign data may include the first user physical sign data. The user physical sign data can be used as the basis for the user's ovarian health assessment. The ovarian health assessment result can be determined based on the user physical sign data. In the present application, the ovarian health of the user can be evaluated based on the user's heart rate variability data, without the need to evaluate the user's ovarian health based on endocrine detection, providing a portable and low-cost ovarian health assessment solution. Further, after the preset time period, the detection result interface can be displayed on the first electronic device, and the display content of the detection result interface includes the ovarian health assessment result. By displaying the ovarian health assessment result of the user on the first electronic device, the abnormal ovarian function of the user can be detected in time. If the symptoms of abnormal ovarian aging can be detected early, the related symptoms caused by ovarian aging can be improved, and the health of women can be enhanced.

[0247] 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, the above-mentioned any ovarian health assessment method is implemented.

[0248] Please refer to the appendix Figure 8 , Figure 8A schematic diagram of an electronic device provided by an embodiment of the present application. An embodiment of the present application provides an electronic device 1100, which includes a processor 1110 configured to support the electronic device 1100 to implement corresponding functions in any of the above-mentioned ovarian health assessment methods. The electronic device 1100 may further include a memory 1130 for coupling with the processor 1110 to store necessary program instructions and data of the electronic device 1100. The electronic device 1100 may further include a communication interface 1120 for the electronic device 1100 to communicate with other devices or communication networks.

[0249] The present application provides a chip system, which includes a processor for supporting an electronic device to implement the functions involved above. For example, to determine or process the information involved in one of the above-mentioned ovarian health assessment methods. In a possible design, the chip system further includes a memory for storing necessary program instructions and data of the electronic device. The chip system may be composed of chips or may include chips and other discrete devices.

[0250] The present application provides a computer program, characterized in that the computer program includes instructions, and when the computer program is executed by a computer, the computer is caused to execute one of the above-mentioned ovarian health assessment methods.

[0251] In the above embodiments, the descriptions of the various embodiments have their own emphases. For parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0252] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps may be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0253] In several embodiments provided by the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the above-mentioned unit division is only a logical function division, and there may be other division methods in actual implementation. For example, 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 displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of devices or units can be in electrical or other forms.

[0254] The units described above as separate components may or may not be physically separated, 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 the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0255] In addition, each functional unit in the embodiments of the present application may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0256] If the above 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. Based on such an understanding, the technical solution of the present application, in essence, or the part that makes a contribution to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc., specifically, the processor in the computer device) to execute all or part of the steps of the methods in the various embodiments of the present application. Among them, the aforementioned storage medium may include: USB flash drives, mobile hard disks, magnetic disks, optical disks, read-only memory (ROM), or random access memory (RAM), etc., all kinds of media that can store program codes.

[0257] As described above, the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various 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 emotional 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 1-3, 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 data; the user's physical sign data further includes the questionnaire 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 the user's 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 occurring currently, and the fourth control being used for the user to confirm that a hot flash is not occurring currently; Receiving the user's operation on the third control or the fourth control.

8. The method according to claim 7, wherein 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, wherein 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 physical sign data, where the symptom information includes the hot flash frequency and the autonomic nerve function level 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 physical examination data, where the user physical examination data includes the anti-Müllerian hormone test result of the user and / or the follicle-stimulating hormone test result; Adjust the parameters in the ovarian function evaluation model according to the user 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 moment when the user has a hot flash, and send a second message to the smart air conditioner before the target moment; 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 to 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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