WO2023237087A1 - 易孕期的预测方法、装置和电子设备 - Google Patents

易孕期的预测方法、装置和电子设备 Download PDF

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Publication number
WO2023237087A1
WO2023237087A1 PCT/CN2023/099312 CN2023099312W WO2023237087A1 WO 2023237087 A1 WO2023237087 A1 WO 2023237087A1 CN 2023099312 W CN2023099312 W CN 2023099312W WO 2023237087 A1 WO2023237087 A1 WO 2023237087A1
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WIPO (PCT)
Prior art keywords
window
fertile
time
length
period
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Application number
PCT/CN2023/099312
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English (en)
French (fr)
Inventor
胡文峰
李婉玉
王璐
圣荣
何志健
Original Assignee
华为技术有限公司
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Priority claimed from CN202211184088.8A external-priority patent/CN117243640A/zh
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2023237087A1 publication Critical patent/WO2023237087A1/zh

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements

Definitions

  • the embodiments of this application require a Chinese patent application with the application number 202210658052.2 and the invention name "A method for predicting the fertile window" to be submitted to the China Patent Office on June 10, 2022, and submitted to China on September 27, 2022.
  • the patent office has the priority of the Chinese patent application with the application number 202211184088.8 and the invention title "Method, device and electronic device for predicting fertile period", the entire content of which is incorporated into the embodiments of this application by reference.
  • the embodiments of the present application relate to the field of intelligent terminal technology, and in particular to a method, device and electronic device for predicting the fertile period.
  • the calendar method calculates the ovulation day based on the menstrual cycle recorded by the user, thereby predicting the fertile window.
  • Embodiments of the present application provide a method, device and electronic device for predicting the fertile period. Embodiments of the present application also provide a computer-readable storage medium to improve the prediction accuracy of the fertile period window and improve user experience.
  • embodiments of the present application provide a method for predicting the fertile period, which includes: obtaining the user's physiological parameters and menstrual data input by the user; obtaining the length of time the user wears the wearable device; if the user wears the wearable device, If the duration of the device is greater than or equal to the predetermined duration, determine whether the current time is the fertile period based on the physiological parameters and the menstrual period data input by the user; if the current time is not the fertile period, determine whether the current time has entered the initial window; wherein, The initial window is predicted based on the menstrual data input by the user, and the length of the initial window is greater than the predetermined first window length; if the current time is within the initial window, shorten the length of the initial window; output the shortened Obtained window.
  • the electronic device obtains the user's physiological parameters and the menstrual data input by the user, and obtains the length of time the user wears the wearable device. If the length of time the user wears the wearable device is greater than or equal to the predetermined length, then based on the above physiological parameters parameters and the menstrual period data input by the user to determine whether the current time is the fertile period. If the current time is not the fertile period, it is determined whether the current time has entered the initial window. If the current time is within the initial window, the electronic device shortens the length of the above-mentioned initial window. And output the shortened window, so that as the user wears the wearable device for longer, the user's fertile period window can be gradually shortened, the prediction accuracy of the fertile period window can be improved, and the user stickiness and user experience can be enhanced.
  • shortening the length of the initial window includes: delaying the starting time of the initial window.
  • the delaying the start date of the initial window includes: delaying the start time of the initial window by a predetermined unit duration.
  • the method further includes: if the current time has not entered the initial window, outputting the initial window.
  • determining whether the current time is after the fertile period based on the physiological parameters and the menstrual period data input by the user further includes: if the current time is the fertile period, determining the period of the current menstrual cycle.
  • the starting time of the fertile window is the previous time, and the length of the fertile window of the current menstrual cycle is a predetermined first window length; wherein the current menstrual cycle includes the menstrual cycle to which the current time belongs; and the current menstrual cycle is output The fertile window of the cycle.
  • the determination of the starting time of the fertile window of the current menstrual cycle is the previous time, and the length of the fertile window of the current menstrual cycle is a predetermined first window length, and the method further includes: The length of the fertile window of the next menstrual cycle is determined to be the predetermined first window length.
  • the method further includes: if the duration of the user wearing the wearable device is less than a predetermined duration, outputting an initial window.
  • the method further includes: if the menstrual data obtained at the current time is different from the menstrual data obtained last time, when the user wears the portable When the duration of the wearable device is greater than or equal to the predetermined duration, based on the physiological parameters and the menstrual period data obtained at the current time, it is predicted whether the current time is the fertile period; if the current time is the fertile period, the start of the fertile period window of the current menstrual cycle is determined.
  • the starting time is the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length; if the current time is not the fertile period, it is determined that the starting time of the fertile window of the current menstrual cycle is after the current time. time, the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • the method further includes: if the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, when the user wears the wearable device for less than a predetermined time, obtain the previous prediction.
  • the length of the fertile window according to the physiological parameters and the menstrual data obtained at the current time, predict whether the current time is the fertile period; if the current time is the fertile period, determine the starting time of the fertile window of the current menstrual cycle as the current time, the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window; if the current time is not the fertile period, then the starting time of the fertile window of the current menstrual cycle is determined to be the time after the current time , the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window.
  • embodiments of the present application provide a fertile period prediction device, which is included in an electronic device and has the function of realizing the behavior of the electronic device in the first aspect and possible implementations of the first aspect.
  • Functions can be implemented by hardware, or by hardware executing corresponding software.
  • Hardware or software includes one or more modules or units corresponding to the above functions. For example, get module, determine module, judge module, shorten module and output module.
  • embodiments of the present application provide an electronic device, including: one or more processors; memories; multiple application programs; and one or more computer programs, wherein the one or more computer programs are stored in the above In the memory, the one or more computer programs include instructions.
  • the electronic device When the instructions are executed by the electronic device, the electronic device performs the following steps: obtain the user's physiological parameters and the menstrual data input by the user; obtain the user's wearable The duration of wearing the device; if the duration of the wearable device worn by the user is greater than or equal to the predetermined duration, it is determined whether the current time is the fertile period based on the physiological parameters and the menstrual data input by the user; if the current time is not fertile period, then determine whether the current time has entered the initial window; wherein, the initial window is predicted based on the menstrual period data input by the user, and the length of the initial window is greater than the predetermined first window length; if the current time is within the initial window within, shorten the length of the initial window; output the window obtained after the shortening.
  • causing the electronic device to perform the step of shortening the length of the initial window includes: delaying the starting time of the initial window.
  • causing the electronic device to execute the step of delaying the start time of the initial window includes: changing the start time of the initial window.
  • the time delay is the predetermined unit duration.
  • the electronic device when the instruction is executed by the electronic device, after the electronic device executes the step of judging whether the current time has entered the initial window, the following steps are also performed: If the current time has not yet entered, After entering the initial window, the initial window is output.
  • the electronic device when the instruction is executed by the electronic device, the electronic device is caused to execute the menstrual period data input by the physiological parameters and the user to determine whether the current time is a fertile period.
  • the following steps are also performed: if the current time is the fertile period, determine the starting time of the fertile window of the current menstrual cycle as the previous time, and the length of the fertile window of the current menstrual cycle is the predetermined first window Length; wherein the current menstrual cycle includes the menstrual cycle to which the current time belongs; and the fertile period window of the current menstrual cycle is output.
  • the electronic device when the instruction is executed by the electronic device, the electronic device is caused to execute the determination of the starting time of the fertile period window of the current menstrual cycle as the previous time, and the current menstrual cycle After the step of determining that the length of the fertile period window is the predetermined first window length, the following step is also performed: determining that the length of the fertile period window of the next menstrual cycle is the predetermined first window length.
  • the instruction when executed by the electronic device, after causing the electronic device to execute the step of obtaining the duration of time the user wears the wearable device, the following steps are also executed: if the user If the wearing time of the wearable device is less than the predetermined time, the initial window is output.
  • the instruction when executed by the electronic device, after the electronic device executes the step of obtaining the user's physiological parameters and the menstrual data input by the user, it also executes the following steps: Next step: If the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, then when the time the user wears the wearable device is greater than or equal to the predetermined time, based on the physiological parameters and the menstrual period data obtained at the current time, Predict whether the current time is the fertile period; if the current time is the fertile period, determine the starting time of the fertile window of the current menstrual cycle as the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length ; If the current time is not the fertile period, then the starting time of the fertile window of the current menstrual cycle is determined to be the time after the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • the electronic device when the instruction is executed by the electronic device, the electronic device also performs the following steps: if the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, when the user wears the When the duration of the wearable device is less than the predetermined duration, the length of the previously predicted fertile window is obtained; based on the physiological parameters and the menstrual data obtained at the current time, it is predicted whether the current time is the fertile period; if the current time is the fertile period , then determine the starting time of the fertile window of the current menstrual cycle as the current time, and the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window; if the current time is not the fertile period, determine the current The starting time of the fertile window of the menstrual cycle is the time after the current time, and the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window.
  • inventions of the present application provide a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program that, when run on a computer, causes the computer to execute the method provided in the first aspect.
  • embodiments of the present application provide a computer program, which when the above computer program is executed by a computer, is used to execute the method provided in the first aspect.
  • the program in the fifth aspect may be stored in whole or in part on a storage medium packaged with the processor, or in part or in whole on a memory that is not packaged with the processor.
  • Figure 1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Figure 2 is a system architecture diagram of a fertile period prediction method provided by an embodiment of the present application.
  • Figure 3 is a flow chart of a fertile period prediction method provided by an embodiment of the present application.
  • Figure 4 is a flow chart of a fertile period prediction method provided by another embodiment of the present application.
  • Figure 5 is a flow chart of a fertile period prediction method provided by yet another embodiment of the present application.
  • Figure 6 is a schematic diagram of a fertile period prediction method provided by yet another embodiment of the present application.
  • Figure 7 is a schematic diagram of a fertile period prediction method provided by yet another embodiment of the present application.
  • Figure 8 is a schematic diagram of a fertile period prediction method provided by yet another embodiment of the present application.
  • Figure 9 is a schematic diagram of a fertile period prediction method provided by yet another embodiment of the present application.
  • Figure 10 is a schematic structural diagram of an electronic device provided by another embodiment of the present application.
  • the calendar method calculates the ovulation day based on the user's recorded menstrual cycle, thereby giving the fertile window.
  • the fertile window predicted by the calendar method is generally 5 days before ovulation and 4 days after ovulation, or 4 days before ovulation and 2 days after ovulation; ovulation is about 14 days before a woman's menstrual period.
  • Wearable devices can predict the fertile period by collecting human physiological parameters and analyzing their changes over a period of time.
  • human physiological parameters include heart rate, body temperature, skin temperature, breathing rate and/or proportion of deep sleep, etc.
  • Wearable devices usually predict shorter fertile window days so that users can perceive a more accurate fertile window.
  • Embodiments of the present application provide a fertile period prediction method to predict the fertile period window for users, thereby helping users prepare for pregnancy more effectively.
  • the initial window is predicted (for example, 10 days); as the number of days the user wears the wearable device increases, the prediction window is gradually shortened (for example, the prediction window can be gradually shortened to 6 days), so that It allows users to experience "the more they wear it, the more accurate it becomes” and enhances their stickiness and experience.
  • the method for predicting the fertile period can be applied to electronic devices, where the above-mentioned electronic devices can be smartphones, tablet computers, wearable devices, vehicle-mounted devices, augmented reality (AR)/virtual reality (VR) reality, VR) equipment, notebook computers, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (personal digital assistants, PDA) and other equipment; the embodiments of this application do not make any specific types of electronic equipment. limit.
  • AR augmented reality
  • VR virtual reality
  • VR VR
  • UMPC ultra-mobile personal computers
  • PDA personal digital assistants
  • Figure 1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • the electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus) serial bus, USB) interface 130, charging management module 140, power management module 141, battery 142, antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, Headphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, display screen 194, and subscriber identification module (subscriber identification module, SIM) card interface 195, etc.
  • SIM subscriber identification module
  • the sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and ambient light. Sensor 180L, bone conduction sensor 180M, etc.
  • the structure illustrated in the embodiment of the present application does not constitute a specific limitation on the electronic device 100 .
  • the electronic device 100 may include more or fewer components than shown in the figures, or some components may be combined, some components may be separated, or some components may be arranged differently.
  • the components illustrated may be implemented in hardware, software, or a combination of software and hardware.
  • the processor 110 may include one or more processing units.
  • the processor 110 may include an application processor (AP), a modem processor, a graphics processing unit (AP). unit (GPU), image signal processor (ISP), controller, video codec, digital signal processor (DSP), baseband processor, and/or neural network processor (neural network processor) -network processing unit, NPU), etc.
  • AP application processor
  • GPU graphics processing unit
  • ISP image signal processor
  • DSP digital signal processor
  • NPU neural network processor
  • different processing units can be independent devices or integrated in one or more processors.
  • the controller can generate operation control signals based on the instruction operation code and timing signals to complete the control of fetching and executing instructions.
  • the processor 110 may also be provided with a memory for storing instructions and data.
  • the memory in processor 110 is cache memory. This memory may hold instructions or data that have been recently used or recycled by processor 110 . If the processor 110 needs to use the instructions or data again, it can be called directly from the memory. Repeated access is avoided and the waiting time of the processor 110 is reduced, thus improving the efficiency of the system.
  • processor 110 may include one or more interfaces.
  • Interfaces may include integrated circuit (inter-integrated circuit, I2C) interface, integrated circuit built-in audio (inter-integrated circuit sound, I2S) interface, pulse code modulation (pulse code modulation, PCM) interface, universal asynchronous receiver and transmitter (universal asynchronous receiver/transmitter (UART) interface, mobile industry processor interface (MIPI), general-purpose input/output (GPIO) interface, subscriber identity module (SIM) interface, and /or universal serial bus (USB) interface, etc.
  • I2C integrated circuit
  • I2S integrated circuit built-in audio
  • PCM pulse code modulation
  • UART universal asynchronous receiver and transmitter
  • MIPI mobile industry processor interface
  • GPIO general-purpose input/output
  • SIM subscriber identity module
  • USB universal serial bus
  • the I2C interface is a bidirectional synchronous serial bus, including a serial data line (SDA) and a serial clock line (derail clock line, DCL).
  • processor 110 may include multiple sets of I2C buses.
  • the processor 110 can separately couple the touch sensor 180K, charger, flash, camera 193, etc. through different I2C bus interfaces.
  • the processor 110 can be coupled to the touch sensor 180K through an I2C interface, so that the processor 110 and the touch sensor 180K communicate through the I2C bus interface to implement the touch function of the electronic device 100 .
  • the I2S interface can be used for audio communication.
  • processor 110 may include multiple sets of I2S buses.
  • the processor 110 can be coupled with the audio module 170 through the I2S bus to implement communication between the processor 110 and the audio module 170 .
  • the audio module 170 can transmit audio signals to the wireless communication module 160 through the I2S interface to implement the function of answering calls through a Bluetooth headset.
  • the PCM interface can also be used for audio communications to sample, quantize and encode analog signals.
  • the audio module 170 and the wireless communication module 160 may be coupled through a PCM bus interface.
  • the audio module 170 can also transmit audio signals to the wireless communication module 160 through the PCM interface to implement the function of answering calls through a Bluetooth headset. Both the I2S interface and the PCM interface can be used for audio communication.
  • the UART interface is a universal serial data bus used for asynchronous communication.
  • the bus can be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication.
  • a UART interface is generally used to connect the processor 110 and the wireless communication module 160 .
  • the processor 110 communicates with the Bluetooth module in the wireless communication module 160 through the UART interface to implement the Bluetooth function.
  • the audio module 170 can transmit audio signals to the wireless communication module 160 through the UART interface to implement the function of playing music through a Bluetooth headset.
  • the MIPI interface can be used to connect the processor 110 with peripheral devices such as the display screen 194 and the camera 193 .
  • MIPI interfaces include camera serial interface (CSI), display serial interface (DSI), etc.
  • the processor 110 and the camera 193 communicate through the CSI interface to implement the shooting function of the electronic device 100 .
  • the processor 110 and the display screen 194 communicate through the DSI interface to implement the display function of the electronic device 100 .
  • the GPIO interface can be configured through software.
  • the GPIO interface can be configured as a control signal or as a data signal.
  • the GPIO interface can be used to connect the processor 110 with the camera 193, display screen 194, wireless communication module 160, audio module 170, sensor module 180, etc.
  • the GPIO interface can also be configured as an I2C interface, I2S interface, UART interface, MIPI interface, etc.
  • the USB interface 130 is an interface that complies with the USB standard specification, and may be a Mini USB interface, a Micro USB interface, a USB Type C interface, etc.
  • the USB interface 130 can be used to connect a charger to charge the electronic device 100, and can also be used to transmit data between the electronic device 100 and peripheral devices. It can also be used to connect headphones to play audio through them. This interface can also be used to connect other wearable devices, such as AR devices, etc.
  • the interface connection relationships between the modules illustrated in the embodiments of the present application are only schematic illustrations and do not constitute a structural limitation of the electronic device 100 .
  • the electronic device 100 may also adopt different interface connection methods in the above embodiments, or a combination of multiple interface connection methods.
  • the charging management module 140 is used to receive charging input from the charger.
  • the charger can be a wireless charger or a wired charger.
  • the charging management module 140 may receive charging input from the wired charger through the USB interface 130 .
  • the charging management module 140 may receive wireless charging input through the wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142, it can also provide power to the electronic device 100 through the power management module 141.
  • the power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110.
  • the power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the display screen 194, the camera 193, the wireless communication module 160, and the like.
  • the power management module 141 can also be used to monitor battery capacity, battery cycle times, battery health status (leakage, impedance) and other parameters.
  • the power management module 141 may also be provided in the processor 110 .
  • the power management module 141 and the charging management module 140 may also be provided in the same device.
  • the wireless communication function of the electronic device 100 can be implemented through the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor and the baseband processor.
  • Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals.
  • Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example: Antenna 1 can be reused as a diversity antenna for a wireless LAN. In other embodiments, antennas may be used in conjunction with tuning switches.
  • the mobile communication module 150 can provide solutions for wireless communication including 2G/3G/4G/5G applied on the electronic device 100 .
  • the mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA), etc.
  • the mobile communication module 150 can receive electromagnetic waves through the antenna 1, perform filtering, amplification and other processing on the received electromagnetic waves, and transmit them to the modem processor for demodulation.
  • the mobile communication module 150 can also amplify the signal modulated by the modem processor and convert it into electromagnetic waves through the antenna 1 for radiation.
  • at least part of the functional modules of the mobile communication module 150 may be disposed in the processor 110 .
  • at least part of the functional modules of the mobile communication module 150 At least some modules of the processor 110 may be provided in the same device.
  • a modem processor may include a modulator and a demodulator.
  • the modulator is used to modulate the low-frequency baseband signal to be sent into a medium-high frequency signal.
  • the demodulator is used to demodulate the received electromagnetic wave signal into a low-frequency baseband signal.
  • the demodulator then transmits the demodulated low-frequency baseband signal to the baseband processor for processing.
  • the application processor outputs sound signals through audio devices (not limited to speaker 170A, receiver 170B, etc.), or displays images or videos through display screen 194.
  • the modem processor may be a stand-alone device.
  • the modem processor may be independent of the processor 110 and may be provided in the same device as the mobile communication module 150 or other functional modules.
  • the wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) network), Bluetooth (bluetooth, BT), and global navigation satellites.
  • WLAN wireless local area networks
  • System global navigation satellite system, GNSS
  • frequency modulation frequency modulation, FM
  • near field communication technology near field communication, NFC
  • infrared technology infrared, IR
  • the wireless communication module 160 may be one or more devices integrating at least one communication processing module.
  • the wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 .
  • the wireless communication module 160 can also receive the signal to be sent from the processor 110, frequency modulate it, amplify it, and convert it into electromagnetic waves through the antenna 2 for radiation.
  • the antenna 1 of the electronic device 100 is coupled to the mobile communication module 150, and the antenna 2 is coupled to the wireless communication module 160, so that the electronic device 100 can communicate with the network and other devices through wireless communication technology.
  • the wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc.
  • the GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi) -zenith satellite system (QZSS) and/or satellite based augmentation systems (SBAS).
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • BDS Beidou navigation satellite system
  • QZSS quasi-zenith satellite system
  • SBAS satellite based augmentation systems
  • the electronic device 100 implements display functions through a GPU, a display screen 194, an application processor, and the like.
  • the GPU is an image processing microprocessor and is connected to the display screen 194 and the application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering.
  • Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.
  • the display screen 194 is used to display images, videos, etc.
  • Display 194 includes a display panel.
  • the display panel can use 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 (active-matrix organic light).
  • LED organic light-emitting diode
  • AMOLED organic light-emitting diode
  • FLED flexible light-emitting diode
  • Miniled MicroLed, Micro-oLed, quantum dot light emitting diode (QLED), etc.
  • electronic device 100 may include 1 or N display screens 194, N is a positive integer greater than 1.
  • the electronic device 100 can implement the shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.
  • the ISP is used to process the data fed back by the camera 193. For example, when taking a photo, the shutter is opened, the light is transmitted to the camera sensor through the lens, the optical signal is converted into an electrical signal, and the camera sensor passes the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene. In some embodiments, the ISP may be provided in the camera 193.
  • Camera 193 is used to capture still images or video.
  • the object passes through the lens to produce an optical image that is projected onto the photosensitive element.
  • the photosensitive element can be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor.
  • CMOS complementary metal-oxide-semiconductor
  • the photosensitive element converts the optical signal into an electrical signal, and then passes the electrical signal to the ISP to convert it into a digital image signal.
  • ISP outputs digital image signals to DSP for processing.
  • DSP converts digital image signals into standard RGB, YUV and other format image signals.
  • the electronic device 100 may include 1 or N cameras 193, where N is a positive integer greater than 1.
  • Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy.
  • Video codecs are used to compress or decompress digital video.
  • Electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in multiple encoding formats, such as moving picture experts group (MPEG) 1, MPEG2, MPEG3, MPEG4, etc.
  • MPEG moving picture experts group
  • MPEG2 MPEG2, MPEG3, MPEG4, etc.
  • NPU is a neural network (NN) computing processor.
  • NN neural network
  • Intelligent cognitive applications of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, etc.
  • 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. Such as saving music, videos, etc. files in external memory card.
  • Internal memory 121 may be used to store computer executable program code, which includes instructions.
  • the internal memory 121 may include a program storage area and a data storage area.
  • the stored program area can store an operating system, at least one application program required for a function (such as a sound playback function, an image playback function, etc.).
  • the storage data area may store data created during use of the electronic device 100 (such as audio data, phone book, etc.).
  • the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.
  • the processor 110 executes various functional applications and data processing of the electronic device 100 by executing instructions stored in the internal memory 121 and/or instructions stored in a memory provided in the processor.
  • the electronic device 100 can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the headphone interface 170D, and the application processor. Such as music playback, recording, etc.
  • the audio module 170 is used to convert digital audio information into analog audio signal output, and is also used to convert analog audio input into digital audio signals. Audio module 170 may also be used to encode and decode audio signals. In some embodiments, the audio module 170 may be provided in the processor 110 , or some functional modules of the audio module 170 may be provided in the processor 110 .
  • Speaker 170A also called “speaker” is used to convert audio electrical signals into sound signals.
  • the electronic device 100 can listen to music through the speaker 170A, or listen to hands-free calls.
  • Receiver 170B also called “earpiece” is used to convert audio electrical signals into sound signals.
  • the electronic device 100 answers a call or a voice message, the voice can be heard by bringing the receiver 170B close to the human ear.
  • Microphone 170C also called “microphone” or “microphone” is used to convert sound signals into electrical signals. When making a call or sending a voice message, the user can speak close to the microphone 170C with the human mouth and input the sound signal to the microphone 170C.
  • the electronic device 100 may be provided with at least one microphone 170C. In other embodiments, the electronic device 100 may be provided with two microphones 170C, which in addition to collecting sound signals, may also implement a noise reduction function. In other embodiments, the electronic device 100 can also be provided with three, four or more microphones 170C to collect sound signals, reduce noise, identify sound sources, and implement directional recording functions, etc.
  • the headphone interface 170D is used to connect wired headphones.
  • the headphone interface 170D can be a USB interface 130, or a 3.5mm open mobile wearable device platform (OMTP) standard interface, or a cellular telecommunications industry association of the USA (CTIA) standard interface. .
  • OMTP open mobile wearable device platform
  • CTIA cellular telecommunications industry association of the USA
  • the pressure sensor 180A is used to sense pressure signals and can convert the pressure signals into electrical signals.
  • pressure sensor 180A may be disposed on display screen 194 .
  • pressure sensors 180A there are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, etc.
  • a capacitive pressure sensor may include at least two parallel plates of conductive material.
  • the electronic device 100 determines the intensity of the pressure based on the change in capacitance.
  • the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A.
  • the electronic device 100 may also calculate the touched position based on the detection signal of the pressure sensor 180A.
  • touch operations acting on the same touch location but with 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 is applied to the short message application icon, an 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 is applied to the short message application icon, an instruction to create a new short message is executed.
  • the gyro sensor 180B may be used to determine the motion posture of the electronic device 100 .
  • the angular velocity of electronic device 100 about three axes ie, x, y, and z axes
  • the gyro sensor 180B can be used for image stabilization. For example, when the shutter is pressed, the gyro sensor 180B detects the angle at which the electronic device 100 shakes, calculates the distance that the lens module needs to compensate based on the angle, and allows the lens to offset the shake of the electronic device 100 through reverse movement to achieve anti-shake.
  • the gyro sensor 180B can also be used for navigation and somatosensory game scenes.
  • Air pressure sensor 180C is used to measure air pressure. In some embodiments, the electronic device 100 calculates the altitude through the air pressure value measured by the air pressure sensor 180C to assist positioning and navigation.
  • Magnetic sensor 180D includes a Hall sensor.
  • the electronic device 100 may utilize the magnetic sensor 180D to detect opening and closing of the flip holster.
  • the electronic device 100 may The opening and closing of the flip cover is detected based on the magnetic sensor 180D. Then, based on the detected opening and closing status of the leather case or the opening and closing status of the flip cover, features such as automatic unlocking of the flip cover are set.
  • the acceleration sensor 180E can detect 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 wearable devices and be used in horizontal and vertical screen switching, pedometer and other applications.
  • Distance sensor 180F for measuring distance.
  • Electronic device 100 can measure distance via infrared or laser. In some embodiments, when shooting a scene, the electronic device 100 may utilize the distance sensor 180F to measure distance to achieve fast focusing.
  • Proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector, such as a photodiode.
  • the light emitting diode may be an infrared light emitting diode.
  • the electronic device 100 emits infrared light outwardly through the light emitting diode.
  • Electronic device 100 uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 100 . When insufficient reflected light is detected, the electronic device 100 may determine that there is no object near the electronic device 100 .
  • the electronic device 100 can use the proximity light sensor 180G to detect when the user holds the electronic device 100 close to the ear for talking, so as to automatically turn off the screen to save power.
  • the proximity light sensor 180G can also be used in holster mode, and pocket mode automatically unlocks and locks the screen.
  • the ambient light sensor 180L is used to sense ambient light brightness.
  • the electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness.
  • the ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures.
  • the ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in the pocket to prevent accidental touching.
  • Fingerprint sensor 180H is used to collect fingerprints.
  • the electronic device 100 can use the collected fingerprint characteristics to achieve fingerprint unlocking, access to application locks, fingerprint photography, fingerprint answering of incoming calls, etc.
  • Temperature sensor 180J is used to detect temperature.
  • the electronic device 100 utilizes the temperature detected by the temperature sensor 180J to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the electronic device 100 reduces the performance of a processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to prevent the low temperature from causing the electronic device 100 to shut down abnormally. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 performs boosting on the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.
  • Touch sensor 180K also known as "touch device”.
  • the touch sensor 180K can be disposed on the display screen 194.
  • the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen”.
  • the touch sensor 180K is used to detect a touch operation on or near the touch sensor 180K.
  • the touch sensor can pass the detected touch operation to the application processor to determine the touch event type.
  • Visual output related to the touch operation may be provided through display screen 194 .
  • the touch sensor 180K may also be disposed on the surface of the electronic device 100 at a location different from that of the display screen 194 .
  • Bone conduction sensor 180M can acquire vibration signals.
  • the bone conduction sensor 180M can acquire the vibration signal of the vibrating bone mass of the human body's vocal part.
  • the bone conduction sensor 180M can also contact the human body's pulse and receive blood pressure beating signals.
  • the bone conduction sensor 180M can also be provided in an earphone and combined into a bone conduction earphone.
  • the audio module 170 can analyze the voice signal based on the vibration signal of the vocal vibrating bone obtained by the bone conduction sensor 180M to implement the voice function.
  • the application processor can be based on the bone conduction
  • the blood pressure beating signal obtained by the sensor 180M analyzes the heart rate information to realize the heart rate detection function.
  • the buttons 190 include a power button, a volume button, etc.
  • Key 190 may be a mechanical key. It can also be a touch button.
  • the electronic device 100 may receive key inputs and generate key signal inputs related to user settings and function control of the electronic device 100 .
  • the motor 191 can generate vibration prompts.
  • the motor 191 can be used for vibration prompts for incoming calls and can also be used for touch vibration feedback.
  • touch operations for different applications can correspond to different vibration feedback effects.
  • the motor 191 can also respond to different vibration feedback effects for touch operations in different areas of the display screen 194 .
  • Different application scenarios such as time reminders, receiving information, alarm clocks, games, etc.
  • the touch vibration feedback effect can also be customized.
  • the indicator 192 may be an indicator light, which may be used to indicate charging status, power changes, or may be used to indicate messages, missed calls, notifications, etc.
  • the SIM card interface 195 is used to connect a SIM card.
  • the SIM card can be connected to or separated from the electronic device 100 by inserting it into the SIM card interface 195 or pulling it out from the SIM card interface 195 .
  • the electronic device 100 can support 1 or N SIM card interfaces, where N is a positive integer greater than 1.
  • SIM card interface 195 can support Nano SIM card, Micro SIM card, SIM card, etc. Multiple cards can be inserted into the same SIM card interface 195 at the same time. The types of the plurality of cards may be the same or different.
  • the SIM card interface 195 is also compatible with different types of SIM cards.
  • the SIM card interface 195 is also compatible with external memory cards.
  • the electronic device 100 interacts with the network through the SIM card to implement functions such as calls and data communications.
  • the electronic device 100 uses an eSIM, that is, an embedded SIM card.
  • the eSIM card can be embedded in the electronic device 100 and cannot be separated from the electronic device 100 .
  • FIG 2 is a system architecture diagram of a fertile period prediction method provided by an embodiment of the present application.
  • the system architecture may include an electronic device 100 (for example, a mobile phone) and a wearable device (for example, a watch).
  • the watch is used to collect the user's physiological parameters.
  • the female menstrual cycle application is run on the mobile phone and synchronizes the physiological parameters and prediction data with the watch.
  • this is only an implementation method, and the watch can also collect the user's physiological parameters. , as well as running the female menstrual cycle application and synchronizing prediction data with the mobile phone.
  • the fertile period prediction algorithm running on the mobile phone can perform prediction based on the collected physiological parameters, user-entered data and historical prediction results. Prediction of fertile window. Finally, the mobile phone displays the predicted fertile window through the female menstrual cycle application and provides a reminder mechanism to remind users of the beginning and end of the fertile period.
  • FIG 3 is a flow chart of a fertile period prediction method provided by an embodiment of the present application. As shown in Figure 3, the above fertile period prediction method may include:
  • Step 301 The electronic device 100 obtains the user's physiological parameters and menstrual data input by the user, and obtains the length of time the user wears the wearable device.
  • Step 302 If the time the user wears the wearable device is greater than or equal to a predetermined time, the electronic device 100 determines whether the current time is the fertile period based on the above physiological parameters and the menstrual data input by the user.
  • the above-mentioned predetermined time period can be set according to system performance and/or implementation requirements during specific implementation.
  • the above-mentioned predetermined time period can be 30 days.
  • Step 303 If the current time is not the fertile period, the electronic device 100 determines whether the current time has entered the initial window. Then execute step 304 or step 306.
  • the above-mentioned initial window is a fertile period window predicted by the electronic device 100 based on the menstrual period data input by the user, and the length of the above-mentioned initial window is greater than the predetermined first window length.
  • the above-mentioned predetermined first window length can be set by itself according to system performance and/or implementation requirements during specific implementation. This embodiment does not limit the size of the above-mentioned first predetermined window length.
  • the above-mentioned predetermined first window length The window length can be 6 days.
  • Step 304 If the current time is within the initial window, the electronic device 100 shortens the length of the initial window.
  • shortening the length of the above-mentioned initial window may be: delaying the starting time of the above-mentioned initial window; more specifically, delaying the starting time of the above-mentioned initial window may be: delaying the starting time of the above-mentioned initial window by a predetermined unit time, by.
  • the above-mentioned predetermined unit time length can be set according to system performance and/or implementation requirements during specific implementation. This embodiment does not limit the length of the above-mentioned predetermined unit time period.
  • the above-mentioned predetermined unit time length can be 1 day.
  • Step 305 The electronic device 100 outputs the shortened window.
  • the electronic device 100 outputting the shortened window may be: the electronic device 100 displays the shortened window; or the electronic device 100 sends the shortened window to another electronic device, and the other electronic device displays it. .
  • the electronic device 100 delays the start date of the initial window by 1 day until the fertile period window is shortened to the predetermined first window length.
  • Step 306 If the current time has not entered the above-mentioned initial window, the electronic device 100 outputs the above-mentioned initial window.
  • step 301 it may also include:
  • Step 307 If the user wears the wearable device for less than a predetermined time, an initial window is output.
  • the electronic device 100 obtains the user's physiological parameters and the menstrual period data input by the user, and obtains the time the user wears the wearable device. If the time the user wears the wearable device is greater than or equal to the predetermined time, the electronic device 100 100 determines whether the current time is the fertile period based on the above physiological parameters and the menstrual data input by the user. If the current time is not the fertile period, the electronic device 100 determines whether the current time has entered the initial window. If the current time is within the initial window, the electronic device 100 determines whether the current time is within the initial window.
  • Figure 4 is a flow chart of a fertile period prediction method provided by another embodiment of the present application. As shown in Figure 4, in the embodiment shown in Figure 3 of the present application, after step 302, it may also include:
  • Step 401 If the current time is the fertile period, determine the starting time of the fertile window of the current menstrual cycle as the current time, and the length of the fertile window of the current menstrual cycle as the predetermined first window length.
  • the current menstrual cycle refers to the menstrual cycle to which the current time belongs.
  • the electronic device 100 determines that the current time is the fertile period based on physiological parameters and the menstrual period data input by the user, it can determine that the fertile period window of the current menstrual cycle is from that day The first 6 days.
  • Step 402 Output the fertile window of the current menstrual cycle.
  • the electronic device 100 may also determine that the length of the fertile period window of the next cycle is a predetermined first window length.
  • FIG. 5 is a flow chart of a fertile period prediction method provided by another embodiment of the present application. As shown in Figure 5, in the embodiment shown in Figure 3 of the present application, after step 301, step 501 or step 504 can also be performed:
  • Step 501 If the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, when the user wears the above-mentioned wearable device for a period of time greater than or equal to a predetermined time, the electronic device 100 determines the menstrual period data obtained based on the above-mentioned physiological parameters and the current time. , predict whether the current time is the fertile period. Then, step 502 or step 503 is performed.
  • the menstrual period data obtained last time may be the menstrual period data obtained by the electronic device 100 before the current time.
  • Step 502 If the current time is the fertile period, the electronic device 100 determines that the starting time of the fertile window of the current menstrual cycle is the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • Step 503 If the current time is not the fertile period, the electronic device 100 determines that the starting time of the fertile window of the current menstrual cycle is the time after the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • the user wears the above-mentioned wearable device for a period of time greater than or equal to the predetermined period, if based on the above-mentioned physiological parameters and the menstrual period data of the current time, it is predicted that the current time is If it is a fertile period, then the fertile window of the current menstrual cycle is determined to be 6 days starting from that day; and if the current time is not predicted to be a fertile period, then the fertile window of the current menstrual cycle is determined to be 6 days in the future.
  • Step 504 If the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, and when the user wears the wearable device for less than a predetermined time, the electronic device 100 obtains the length of the fertile period window predicted last time.
  • the length of the fertile period window predicted last time may be the length of the fertile period window predicted by the electronic device 100 before the current time.
  • Step 505 The electronic device 100 predicts whether the current time is a fertile period based on physiological parameters and menstrual period data obtained at the current time. Then, step 506 or step 507 is performed.
  • Step 506 If the current time is the fertile period, the electronic device 100 determines that the starting time of the fertile window of the current menstrual cycle is the current time, and the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window.
  • Step 507 If the current time is not the fertile period, the electronic device 100 determines that the starting time of the fertile window of the current menstrual cycle is the time after the current time, and the length of the fertile window of the current menstrual cycle is the previously predicted fertile window. length.
  • the menstrual period data obtained at the current time is different from the menstrual period data obtained last time, indicating that the user
  • the menstrual period data was modified before the current time after the previous use of the female menstrual cycle application installed in the electronic device 100 .
  • the fertile period window predicted by the electronic device 100 The length of is the predetermined first window length.
  • the length of the fertile period window predicted by the electronic device 100 is the same as the length of the previously predicted fertile period window.
  • the fertile period prediction method provided by the embodiment of the present application is introduced below with reference to the accompanying drawings.
  • Figure 6 is a schematic diagram of a method for predicting the fertile period provided by another embodiment of the present application.
  • the current time is the current day.
  • the following describes that the current day has entered the initial window of 10 days, and the predicted fertile period window is gradually shortened to 6 days. plan.
  • the electronic device 100 predicts an initial window of 10 days; after the day enters the initial window of 10 days, the electronic device 100 detects that the day is not a fertile period, and shortens the period day by day. initial window, eventually shortening the predicted fertile window to 6 days.
  • the initial window of 10 days predicted by electronic device 100 is from 4.12 to 4.21 days; at this time, the fertile window in May is also 10 days.
  • April 12 is the first day of the initial window.
  • the electronic device 100 automatically detects that the day is not the fertile period, and the user has worn the wearable device for a predetermined number of days, so the start date of the fertile period is postponed by one day to April 13, and the fertile window length is shortened to 9 days. At this time, the fertile window in May is still 10 days.
  • April 13th is the first day of the shortened fertile window.
  • the electronic device 100 automatically detects that the day is not the fertile period, and the user has worn the wearable device for a predetermined number of days, so the start date of the fertile period is postponed by one day to April 14, and the fertile window length is shortened to 8 days. At this time, the fertile window in May is still 10 days.
  • April 14th is the first day of the shortened fertile window.
  • the electronic device 100 automatically detects that the day is the fertile period, and the user has worn the wearable device for a predetermined number of days, so the length of the fertile period window is shortened to 6 days starting from April 14th. At this time, the fertile window in May is also adjusted to 6 days.
  • the fertile period window predicted by the electronic device 100 is gradually shortened from 10 days to 6 days, so that the user experiences "the more accurate it is, the more it is worn.”
  • Figure 7 is a schematic diagram of a fertile period prediction method provided by yet another embodiment of the present application. As shown in Figure 7, if the user wears the wearable device for less than a predetermined length of time, the length of the previously predicted fertile period window is 6 days. Then after modifying the menstrual period data, the 6-day fertile window is still predicted. Similarly, if the user wears the wearable device for less than the predetermined time and the length of the previously predicted fertile window is 10 days, then after modifying the menstrual period data, the 10-day fertile window will still be predicted.
  • Figure 8 is a schematic diagram of a fertile period prediction method provided by another embodiment of the present application. As shown in Figure 8, if the user wears the wearable device for longer than or equal to the predetermined time and the user changes the menstrual period on the same day, the electronic device 100 detects If the current day is the fertile period, then the predicted fertile period window is 6 days starting from that day.
  • Figure 9 is a schematic diagram of a fertile period prediction method provided by another embodiment of the present application. As shown in Figure 9, if the user wears the wearable device for longer than or equal to the predetermined time and the user changes the menstrual period on the same day, the electronic device 100 detects If the current day is not a fertile period, then the fertile window for the next 6 days will be predicted.
  • the electronic device includes corresponding hardware and/or software modules that perform each function.
  • this application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions in conjunction with the embodiments for each specific application, but such implementations should not be considered to be beyond the scope of this application.
  • This embodiment can divide the electronic device into functional modules according to the above method embodiments.
  • each functional module can be divided corresponding to each function, or two or more functions can be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. In actual implementation, there may be other division methods.
  • Figure 10 is a schematic structural diagram of an electronic device provided by another embodiment of the present application. In the case of dividing each functional module corresponding to each function, Figure 10 shows a possible composition of the electronic device 1000 involved in the above embodiment. Schematic diagram, as shown in Figure 10, the electronic device 1000 may include: an acquisition module 1001, a determination module 1002, a judgment module 1003, a shortening module 1004 and an output module 1005;
  • the acquisition module 1001 is used to acquire the user's physiological parameters and the menstrual data input by the user; and acquire the length of time the user wears the wearable device;
  • the determination module 1002 is used to determine whether the current time is the fertile period based on the above physiological parameters and the menstrual data input by the user when the user wears the wearable device for a period of time greater than or equal to a predetermined period;
  • the judgment module 1003 is used to judge whether the current time has entered the initial window when the current time is not the fertile period; wherein the above-mentioned initial window is predicted based on the menstrual data input by the user, and the length of the above-mentioned initial window is greater than the predetermined first window length;
  • the shortening module 1004 is used to shorten the length of the above-mentioned initial window when the current time is within the initial window; specifically, the shortening module 1004 is used to delay the starting time of the above-mentioned initial window; more specifically, the shortening module 1004 is specifically used to Delay the starting time of the above initial window by a predetermined unit time.
  • the output module 1005 is used to output the window obtained after shortening.
  • the output module 1005 is also configured to output the above-mentioned initial window if the current time has not entered the above-mentioned initial window after the judgment module 1003 determines whether the current time has entered the initial window.
  • the determination module 1002 is also used to determine whether the current time is the fertile period, and if the current time is the fertile period, pregnancy period, the starting time of the fertile window of the current menstrual cycle is determined to be the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length; where the current menstrual cycle includes the menstrual cycle to which the current time belongs.
  • the output module 1005 is also used to output the fertile period window of the current menstrual cycle.
  • the determination module 1002 is also configured to determine the next menstrual cycle after determining that the starting time of the fertile window of the current menstrual cycle is the current time and the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • the length of the fertile window is a predetermined first window length.
  • the output module 1005 is also configured to output the initial window if the time the user wears the wearable device is less than a predetermined time after the acquisition module 1001 obtains the time the user wears the wearable device.
  • the determination module 1002 is also configured to: after the acquisition module 1001 obtains the user's physiological parameters and the menstrual data input by the user, if the menstrual data obtained at the current time is different from the menstrual data obtained last time, then When the user wears the wearable device for longer than or equal to the predetermined time, based on the above physiological parameters and the menstrual period data obtained at the current time, it is predicted whether the current time is the fertile period; if the current time is the fertile period, the fertile period window of the current menstrual cycle is determined.
  • the starting time is the current time, and the length of the fertile window of the current menstrual cycle is the predetermined first window length; if the current time is not the fertile period, then it is determined that the starting time of the fertile window of the current menstrual cycle is after the current time. time, the length of the fertile window of the current menstrual cycle is the predetermined first window length.
  • the acquisition module 1001 is also used to obtain the length of the last predicted fertile period window when the menstrual period data acquired at the current time is different from the menstrual period data acquired last time, and if the duration of the user wearing the wearable device is less than a predetermined duration;
  • the determination module 1002 is also used to predict whether the current time is the fertile period based on the above physiological parameters and the menstrual period data obtained at the current time; if the current time is the fertile period, determine the starting time of the fertile period window of the current menstrual cycle as the current time. , the length of the fertile window of the current menstrual cycle is the length of the previously predicted fertile window; if the current time is not a fertile period, then the starting time of the fertile window of the current menstrual cycle is determined to be the time after the current time, and the current menstrual period The length of the fertile window of the cycle is the length of the previously predicted fertile window.
  • the electronic device 1000 provided in this embodiment is used to execute the fertile period prediction method provided by the embodiment shown in FIGS. 3 to 5 of this application, and therefore can achieve the same effect as the above method.
  • the electronic device 1000 may correspond to the electronic device shown in FIG. 1 .
  • the functions of the acquisition module 1001, the determination module 1002, the judgment module 1003 and the shortening module 1004 can be implemented by the processor 110 in the electronic device shown in Figure 1; the function of the output module 1005 can be implemented by the processor in the electronic device shown in Figure 1
  • the controller 110 and the display screen 194 are implemented.
  • the electronic device 1000 may include a processing module, a storage module, and a communication module.
  • the processing module can be used to control and manage the actions of the electronic device 1000. For example, it can be used to support the electronic device 1000 to perform the steps performed by the acquisition module 1001, the determination module 1002, the judgment module 1003, the shortening module 1004 and the output module 1005. .
  • Memory modules can be used to support electronic devices 1000 memory Stored program code and data, etc.
  • the communication module can be used to support communication between the electronic device 1000 and other devices.
  • the processing module may be a processor or a controller, which may implement or execute various exemplary logical blocks, modules and circuits described in connection with the disclosure of this application.
  • a processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc.
  • the storage module may be a memory.
  • the communication module may specifically be a radio frequency circuit, a Bluetooth chip, a Wi-Fi chip, and other devices that interact with other electronic devices.
  • the electronic device 1000 involved in this embodiment may be a device with the structure shown in FIG. 1 .
  • Embodiments of the present application also provide a computer-readable storage medium.
  • the computer-readable storage medium stores a computer program. When it is run on a computer, it causes the computer to execute the steps provided by the embodiments shown in FIGS. 3 to 5 of the present application. method.
  • An embodiment of the present application also provides a computer program product.
  • the computer program product includes a computer program that, when run on a computer, causes the computer to execute the method provided by the embodiments shown in FIGS. 3 to 5 of the present application.
  • At least one refers to one or more, and “multiple” refers to two or more.
  • And/or describes the relationship between associated objects, indicating that there can be three relationships. For example, A and/or B can represent the existence of A alone, the existence of A and B at the same time, or the existence of B alone. Where A and B can be singular or plural.
  • the character “/” generally indicates that the related objects are in an “or” relationship.
  • At least one of the following" and similar expressions refers to any combination of these items, including any combination of single or plural items.
  • At least one of a, b and c can mean: a, b, c, a and b, a and c, b and c or a and b and c, where a, b, c can be single, also Can be multiple.
  • any function 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.
  • the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk and other media that can store program code. .

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Abstract

本申请实施例提供一种易孕期的预测方法、装置和电子设备，上述易孕期的预测方法中，电子设备获取用户的生理参数和用户输入的经期数据，以及获取用户佩戴可穿戴设备的时长，如果用户佩戴可穿戴设备的时长大于或等于预定时长，则根据上述生理参数和用户输入的经期数据，确定当前时间是否为易孕期，如果当前时间不是易孕期，则判断当前时间是否进入初始窗口，如果当前时间在初始窗口内，则电子设备缩短上述初始窗口的长度，并输出缩短后获得的窗口，从而可以实现随着用户佩戴可穿戴设备时长的增加，逐步缩短用户的易孕期窗口，提高易孕期窗口的预测准确性，提高用户使用体验。

Description

易孕期的预测方法、装置和电子设备
本申请实施例要求于2022年6月10日提交中国专利局、申请号为202210658052.2、发明名称为“一种预测易孕期窗口的方法”的中国专利申请，以及于2022年9月27日提交中国专利局、申请号为202211184088.8、发明名称为“易孕期的预测方法、装置和电子设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请实施例中。
技术领域
本申请实施例涉及智能终端技术领域，特别涉及一种易孕期的预测方法、装置和电子设备。
背景技术
随着女性消费者对备孕的关注程度提高，备孕产品走进消费者视野并愈加受到欢迎。同时，随着移动互联基础设施不断升级和国民生活方式的改变，越来越多女性已经开始习惯使用女性生理健康应用(application，APP)来记录和管理自己的健康状态。健康类移动应用中，女性占比逐年提高，占比接近6成，女性生理健康服务用户规模突破2.5亿。
当前监测易孕期常用的一种方法为：日历法。日历法是根据用户记录的月经周期，计算出排卵日，从而预测易孕窗口。
但是，日历法预测的准确性较低，大多数女性会在下次月经来之前14天左右的时候排卵，但是排卵还受到很多其他因素的影响，例如：情绪波动、环境改变和/或健康状况变化等，有可能会提前或者推迟，从而导致易孕期窗口预测不准确。
发明内容
本申请实施例提供了一种易孕期的预测方法、装置和电子设备，本申请实施例还提供一种计算机可读存储介质，以提高易孕期窗口的预测准确性，提高用户使用体验。
第一方面，本申请实施例提供了一种易孕期的预测方法，包括：获取用户的生理参数和用户输入的经期数据；获取用户佩戴可穿戴设备的时长；如果所述用户佩戴所述可穿戴设备的时长大于或等于预定时长，则根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期；如果当前时间不是易孕期，则判断当前时间是否进入初始窗口；其中，所述初始窗口是根据所述用户输入的经期数据预测的，所述初始窗口的长度大于预定的第一窗口长度；如果当前时间在初始窗口内，则缩短所述初始窗口的长度；输出缩短后获得的窗口。
上述易孕期的预测方法中，电子设备获取用户的生理参数和用户输入的经期数据，以及获取用户佩戴可穿戴设备的时长，如果用户佩戴可穿戴设备的时长大于或等于预定时长，则根据上述生理参数和用户输入的经期数据，确定当前时间是否为易孕期，如果当前时间不是易孕期，则判断当前时间是否进入初始窗口，如果当前时间在初始窗口内，则电子设备缩短上述初始窗口的长度，并输出缩短后获得的窗口，从而可以实现随着用户佩戴可穿戴设备时长的增加，逐步缩短用户的易孕期窗口，提高易孕期窗口的预测准确性，增强用户使用粘性与使用体验。
其中一种可能的实现方式中，所述缩短所述初始窗口的长度包括：延迟所述初始窗口的起始时间。
其中一种可能的实现方式中，所述延迟所述初始窗口的开始日期包括：将所述初始窗口的起始时间延迟预定的单位时长。
其中一种可能的实现方式中，所述判断当前时间是否进入初始窗口之后，还包括：如果当前时间还未进入所述初始窗口，则输出所述初始窗口。
其中一种可能的实现方式中，所述根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期之后，还包括：如果当前时间是易孕期，则确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；其中，所述当前月经周期包括当前时间所属的月经周期；输出所述当前月经周期的易孕期窗口。
其中一种可能的实现方式中，所述确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度之后，还包括：确定下一月经周期的易孕期窗口的长度为预定的第一窗口长度。
其中一种可能的实现方式中，所述获取用户佩戴可穿戴设备的时长之后，还包括：如果所述用户佩戴所述可穿戴设备的时长小于预定时长，则输出初始窗口。
其中一种可能的实现方式中，所述获取用户的生理参数和用户输入的经期数据之后，还包括：如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴所述可穿戴设备的时长大于或等于预定时长时，根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
其中一种可能的实现方式中，所述方法还包括：如果当前时间获取的经期数据与前次获取的经期数据不同，当用户佩戴所述可穿戴设备的时长小于预定时长时，获取前次预测的易孕期窗口的长度；根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
第二方面，本申请实施例提供一种易孕期的预测装置，该装置包含在电子设备中，该装置具有实现第一方面及第一方面的可能实现方式中电子设备行为的功能。功能可以通过硬件实现，也可以通过硬件执行相应的软件实现。硬件或软件包括一个或多个与上述功能相对应的模块或单元。例如，获取模块、确定模块、判断模块、缩短模块和输出模块。
第三方面，本申请实施例提供一种电子设备，包括：一个或多个处理器；存储器；多个应用程序；以及一个或多个计算机程序，其中上述一个或多个计算机程序被存储在上述存储器中，上述一个或多个计算机程序包括指令，当所述指令被所述电子设备执行时，使得所述电子设备执行以下步骤：获取用户的生理参数和用户输入的经期数据；获取用户佩戴可穿戴设备的时长；如果所述用户佩戴所述可穿戴设备的时长大于或等于预定时长，则根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期；如果当前时间不是易孕期，则判断当前时间是否进入初始窗口；其中，所述初始窗口是根据所述用户输入的经期数据预测的，所述初始窗口的长度大于预定的第一窗口长度；如果当前时间在初始窗口内，则缩短所述初始窗口的长度；输出缩短后获得的窗口。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述缩短所述初始窗口的长度的步骤包括：延迟所述初始窗口的起始时间。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述延迟所述初始窗口的起始时间的步骤包括：将所述初始窗口的起始时间延迟预定的单位时长。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述判断当前时间是否进入初始窗口的步骤之后，还执行以下步骤：如果当前时间还未进入所述初始窗口，则输出所述初始窗口。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期的步骤之后，还执行以下步骤：如果当前时间是易孕期，则确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；其中，所述当前月经周期包括当前时间所属的月经周期；输出所述当前月经周期的易孕期窗口。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度的步骤之后，还执行以下步骤：确定下一月经周期的易孕期窗口的长度为预定的第一窗口长度。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述获取用户佩戴可穿戴设备的时长的步骤之后，还执行以下步骤：如果所述用户佩戴所述可穿戴设备的时长小于预定时长，则输出初始窗口。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备执行所述获取用户的生理参数和用户输入的经期数据的步骤之后，还执行以 下步骤：如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴所述可穿戴设备的时长大于或等于预定时长时，根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
其中一种可能的实现方式中，当所述指令被所述电子设备执行时，使得所述电子设备还执行以下步骤：如果当前时间获取的经期数据与前次获取的经期数据不同，当用户佩戴所述可穿戴设备的时长小于预定时长时，获取前次预测的易孕期窗口的长度；根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
应当理解的是，本申请实施例的第二和第三方面与本申请实施例的第一方面的技术方案一致，各方面及对应的可行实施方式所取得的有益效果相似，不再赘述。
第四方面，本申请实施例提供一种计算机可读存储介质，上述计算机可读存储介质中存储有计算机程序，当其在计算机上运行时，使得计算机执行第一方面提供的方法。
第五方面，本申请实施例提供一种计算机程序，当上述计算机程序被计算机执行时，用于执行第一方面提供的方法。
在一种可能的设计中，第五方面中的程序可以全部或者部分存储在与处理器封装在一起的存储介质上，也可以部分或者全部存储在不与处理器封装在一起的存储器上。
附图说明
图1为本申请一个实施例提供的电子设备的结构示意图；
图2为本申请一个实施例提供的易孕期的预测方法的系统架构图；
图3为本申请一个实施例提供的易孕期的预测方法的流程图；
图4为本申请另一个实施例提供的易孕期的预测方法的流程图；
图5为本申请再一个实施例提供的易孕期的预测方法的流程图；
图6为本申请再一个实施例提供的易孕期的预测方法的示意图；
图7为本申请再一个实施例提供的易孕期的预测方法的示意图；
图8为本申请再一个实施例提供的易孕期的预测方法的示意图；
图9为本申请再一个实施例提供的易孕期的预测方法的示意图；
图10为本申请另一个实施例提供的电子设备的结构示意图。
具体实施方式
本申请的实施方式部分使用的术语仅用于对本申请的具体实施例进行解释，而非旨在限定本申请。
日历法是根据用户的记录的月经周期，计算出排卵日，从而给出易孕期窗口。日历法预测的易孕期窗口，一般为排卵日前5天和排卵日后4天，或者排卵日前4天和排卵日后2天；排卵日则是在女性月经来潮前14天左右。
但是，日历法预测易孕期窗口的准确性较低，大多数女性会在下次月经来之前14天左右的时候排卵，但是女性排卵往往还受到其他很多因素的影响，例如：情绪波动、环境改变和/或健康状况变化等，有可能会提前或者推迟，这很容易导致易孕期窗口预测不准确。
可穿戴设备可以通过采集人体生理参数，并分析其在一段周期内的变化规律达到预测易孕期的目的。其中，人体生理参数包括如心率、体温、皮肤温、呼吸率和/或深睡占比等。可穿戴设备通常预测的易孕期窗口天数较短，以便用户感知到更为精确的易孕期窗口。
本申请实施例提供一种易孕期的预测方法，为用户预测易孕期窗口，从而帮助用户更有效的备孕。在用户初始佩戴可穿戴设备时，预测初始窗口(例如：10天)；随着用户佩戴可穿戴设备的天数增加，预测的窗口渐进缩短(例如：预测的窗口可以渐进缩短至6天)，从而可以让用户体验到“越戴越准”，增强用户的使用粘性与使用体验。
本申请实施例提供的易孕期的预测方法可以应用于电子设备，其中，上述电子设备可以为智能手机、平板电脑、可穿戴设备、车载设备、增强现实(augmented reality，AR)/虚拟现实(virtual reality，VR)设备、笔记本电脑、超级移动个人计算机(ultra-mobile personal computer，UMPC)、上网本或个人数字助理(personal digital assistant，PDA)等设备；本申请实施例对电子设备的具体类型不作任何限制。
示例性的，图1为本申请一个实施例提供的电子设备的结构示意图，如图1所示，电子设备100可以包括处理器110，外部存储器接口120，内部存储器121，通用串行总线(universal serial bus，USB)接口130，充电管理模块140，电源管理模块141，电池142，天线1，天线2，移动通信模块150，无线通信模块160，音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，传感器模块180，按键190，马达191，指示器192，摄像头193，显示屏194，以及用户标识模块(subscriber identification module，SIM)卡接口195等。其中传感器模块180可以包括压力传感器180A，陀螺仪传感器180B，气压传感器180C，磁传感器180D，加速度传感器180E，距离传感器180F，接近光传感器180G，指纹传感器180H，温度传感器180J，触摸传感器180K，环境光传感器180L，骨传导传感器180M等。
可以理解的是，本申请实施例示意的结构并不构成对电子设备100的具体限定。在本申请另一些实施例中，电子设备100可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。图示的部件可以以硬件，软件或软件和硬件的组合实现。
处理器110可以包括一个或多个处理单元，例如：处理器110可以包括应用处理器(application processor，AP)，调制解调处理器，图形处理器(graphics processing  unit，GPU)，图像信号处理器(image signal processor，ISP)，控制器，视频编解码器，数字信号处理器(digital signal processor，DSP)，基带处理器，和/或神经网络处理器(neural-network processing unit，NPU)等。其中，不同的处理单元可以是独立的器件，也可以集成在一个或多个处理器中。
控制器可以根据指令操作码和时序信号，产生操作控制信号，完成取指令和执行指令的控制。
处理器110中还可以设置存储器，用于存储指令和数据。在一些实施例中，处理器110中的存储器为高速缓冲存储器。该存储器可以保存处理器110刚用过或循环使用的指令或数据。如果处理器110需要再次使用该指令或数据，可从所述存储器中直接调用。避免了重复存取，减少了处理器110的等待时间，因而提高了系统的效率。
在一些实施例中，处理器110可以包括一个或多个接口。接口可以包括集成电路(inter-integrated circuit，I2C)接口，集成电路内置音频(inter-integrated circuit sound，I2S)接口，脉冲编码调制(pulse code modulation，PCM)接口，通用异步收发传输器(universal asynchronous receiver/transmitter，UART)接口，移动产业处理器接口(mobile industry processor interface，MIPI)，通用输入输出(general-purpose input/output，GPIO)接口，用户标识模块(subscriber identity module，SIM)接口，和/或通用串行总线(universal serial bus，USB)接口等。
I2C接口是一种双向同步串行总线，包括一根串行数据线(serial data line，SDA)和一根串行时钟线(derail clock line，DCL)。在一些实施例中，处理器110可以包含多组I2C总线。处理器110可以通过不同的I2C总线接口分别耦合触摸传感器180K，充电器，闪光灯，摄像头193等。例如：处理器110可以通过I2C接口耦合触摸传感器180K，使处理器110与触摸传感器180K通过I2C总线接口通信，实现电子设备100的触摸功能。
I2S接口可以用于音频通信。在一些实施例中，处理器110可以包含多组I2S总线。处理器110可以通过I2S总线与音频模块170耦合，实现处理器110与音频模块170之间的通信。在一些实施例中，音频模块170可以通过I2S接口向无线通信模块160传递音频信号，实现通过蓝牙耳机接听电话的功能。
PCM接口也可以用于音频通信，将模拟信号抽样，量化和编码。在一些实施例中，音频模块170与无线通信模块160可以通过PCM总线接口耦合。在一些实施例中，音频模块170也可以通过PCM接口向无线通信模块160传递音频信号，实现通过蓝牙耳机接听电话的功能。所述I2S接口和所述PCM接口都可以用于音频通信。
UART接口是一种通用串行数据总线，用于异步通信。该总线可以为双向通信总线。它将要传输的数据在串行通信与并行通信之间转换。在一些实施例中，UART接口通常被用于连接处理器110与无线通信模块160。例如：处理器110通过UART接口与无线通信模块160中的蓝牙模块通信，实现蓝牙功能。在一些实施例中，音频模块170可以通过UART接口向无线通信模块160传递音频信号，实现通过蓝牙耳机播放音乐的功能。
MIPI接口可以被用于连接处理器110与显示屏194，摄像头193等外围器件。 MIPI接口包括摄像头串行接口(camera serial interface，CSI)，显示屏串行接口(display serial interface，DSI)等。在一些实施例中，处理器110和摄像头193通过CSI接口通信，实现电子设备100的拍摄功能。处理器110和显示屏194通过DSI接口通信，实现电子设备100的显示功能。
GPIO接口可以通过软件配置。GPIO接口可以被配置为控制信号，也可被配置为数据信号。在一些实施例中，GPIO接口可以用于连接处理器110与摄像头193，显示屏194，无线通信模块160，音频模块170，传感器模块180等。GPIO接口还可以被配置为I2C接口，I2S接口，UART接口，MIPI接口等。
USB接口130是符合USB标准规范的接口，具体可以是Mini USB接口，Micro USB接口，USB Type C接口等。USB接口130可以用于连接充电器为电子设备100充电，也可以用于电子设备100与外围设备之间传输数据。也可以用于连接耳机，通过耳机播放音频。该接口还可以用于连接其他可穿戴设备，例如AR设备等。
可以理解的是，本申请实施例示意的各模块间的接口连接关系，只是示意性说明，并不构成对电子设备100的结构限定。在本申请另一些实施例中，电子设备100也可以采用上述实施例中不同的接口连接方式，或多种接口连接方式的组合。
充电管理模块140用于从充电器接收充电输入。其中，充电器可以是无线充电器，也可以是有线充电器。在一些有线充电的实施例中，充电管理模块140可以通过USB接口130接收有线充电器的充电输入。在一些无线充电的实施例中，充电管理模块140可以通过电子设备100的无线充电线圈接收无线充电输入。充电管理模块140为电池142充电的同时，还可以通过电源管理模块141为电子设备100供电。
电源管理模块141用于连接电池142，充电管理模块140与处理器110。电源管理模块141接收电池142和/或充电管理模块140的输入，为处理器110，内部存储器121，显示屏194，摄像头193，和无线通信模块160等供电。电源管理模块141还可以用于监测电池容量，电池循环次数，电池健康状态(漏电，阻抗)等参数。在其他一些实施例中，电源管理模块141也可以设置于处理器110中。在另一些实施例中，电源管理模块141和充电管理模块140也可以设置于同一个器件中。
电子设备100的无线通信功能可以通过天线1，天线2，移动通信模块150，无线通信模块160，调制解调处理器以及基带处理器等实现。
天线1和天线2用于发射和接收电磁波信号。电子设备100中的每个天线可用于覆盖单个或多个通信频带。不同的天线还可以复用，以提高天线的利用率。例如：可以将天线1复用为无线局域网的分集天线。在另外一些实施例中，天线可以和调谐开关结合使用。
移动通信模块150可以提供应用在电子设备100上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块150可以包括至少一个滤波器，开关，功率放大器，低噪声放大器(low noise amplifier，LNA)等。移动通信模块150可以由天线1接收电磁波，并对接收的电磁波进行滤波，放大等处理，传送至调制解调处理器进行解调。移动通信模块150还可以对经调制解调处理器调制后的信号放大，经天线1转为电磁波辐射出去。在一些实施例中，移动通信模块150的至少部分功能模块可以被设置于处理器110中。在一些实施例中，移动通信模块150的至少部分功能模块 可以与处理器110的至少部分模块被设置在同一个器件中。
调制解调处理器可以包括调制器和解调器。其中，调制器用于将待发送的低频基带信号调制成中高频信号。解调器用于将接收的电磁波信号解调为低频基带信号。随后解调器将解调得到的低频基带信号传送至基带处理器处理。低频基带信号经基带处理器处理后，被传递给应用处理器。应用处理器通过音频设备(不限于扬声器170A，受话器170B等)输出声音信号，或通过显示屏194显示图像或视频。在一些实施例中，调制解调处理器可以是独立的器件。在另一些实施例中，调制解调处理器可以独立于处理器110，与移动通信模块150或其他功能模块设置在同一个器件中。
无线通信模块160可以提供应用在电子设备100上的包括无线局域网(wireless local area networks，WLAN)(如无线保真(wireless fidelity，Wi-Fi)网络)，蓝牙(bluetooth，BT)，全球导航卫星系统(global navigation satellite system，GNSS)，调频(frequency modulation，FM)，近距离无线通信技术(near field communication，NFC)，红外技术(infrared，IR)等无线通信的解决方案。无线通信模块160可以是集成至少一个通信处理模块的一个或多个器件。无线通信模块160经由天线2接收电磁波，将电磁波信号调频以及滤波处理，将处理后的信号发送到处理器110。无线通信模块160还可以从处理器110接收待发送的信号，对其进行调频，放大，经天线2转为电磁波辐射出去。
在一些实施例中，电子设备100的天线1和移动通信模块150耦合，天线2和无线通信模块160耦合，使得电子设备100可以通过无线通信技术与网络以及其他设备通信。所述无线通信技术可以包括全球移动通讯系统(global system for mobile communications，GSM)，通用分组无线服务(general packet radio service，GPRS)，码分多址接入(code division multiple access，CDMA)，宽带码分多址(wideband code division multiple access，WCDMA)，时分码分多址(time-division code division multiple access，TD-SCDMA)，长期演进(long term evolution，LTE)，BT，GNSS，WLAN，NFC，FM，和/或IR技术等。所述GNSS可以包括全球卫星定位系统(global positioning system，GPS)，全球导航卫星系统(global navigation satellite system，GLONASS)，北斗卫星导航系统(beidou navigation satellite system，BDS)，准天顶卫星系统(quasi-zenith satellite system，QZSS)和/或星基增强系统(satellite based augmentation systems，SBAS)。
电子设备100通过GPU，显示屏194，以及应用处理器等实现显示功能。GPU为图像处理的微处理器，连接显示屏194和应用处理器。GPU用于执行数学和几何计算，用于图形渲染。处理器110可包括一个或多个GPU，其执行程序指令以生成或改变显示信息。
显示屏194用于显示图像，视频等。显示屏194包括显示面板。显示面板可以采用液晶显示屏(liquid crystal display，LCD)，有机发光二极管(organic light-emitting diode，OLED)，有源矩阵有机发光二极体或主动矩阵有机发光二极体(active-matrix organic light emitting diode的，AMOLED)，柔性发光二极管(flex light-emitting diode，FLED)，Miniled，MicroLed，Micro-oLed，量子点发光二极管(quantum dot light emitting diodes，QLED)等。在一些实施例中，电子设备100可以包括1个或N个显示屏194， N为大于1的正整数。
电子设备100可以通过ISP，摄像头193，视频编解码器，GPU，显示屏194以及应用处理器等实现拍摄功能。
ISP用于处理摄像头193反馈的数据。例如，拍照时，打开快门，光线通过镜头被传递到摄像头感光元件上，光信号转换为电信号，摄像头感光元件将所述电信号传递给ISP处理，转化为肉眼可见的图像。ISP还可以对图像的噪点，亮度，肤色进行算法优化。ISP还可以对拍摄场景的曝光，色温等参数优化。在一些实施例中，ISP可以设置在摄像头193中。
摄像头193用于捕获静态图像或视频。物体通过镜头生成光学图像投射到感光元件。感光元件可以是电荷耦合器件(charge coupled device，CCD)或互补金属氧化物半导体(complementary metal-oxide-semiconductor，CMOS)光电晶体管。感光元件把光信号转换成电信号，之后将电信号传递给ISP转换成数字图像信号。ISP将数字图像信号输出到DSP加工处理。DSP将数字图像信号转换成标准的RGB，YUV等格式的图像信号。在一些实施例中，电子设备100可以包括1个或N个摄像头193，N为大于1的正整数。
数字信号处理器用于处理数字信号，除了可以处理数字图像信号，还可以处理其他数字信号。例如，当电子设备100在频点选择时，数字信号处理器用于对频点能量进行傅里叶变换等。
视频编解码器用于对数字视频压缩或解压缩。电子设备100可以支持一种或多种视频编解码器。这样，电子设备100可以播放或录制多种编码格式的视频，例如：动态图像专家组(moving picture experts group，MPEG)1，MPEG2，MPEG3，MPEG4等。
NPU为神经网络(neural-network，NN)计算处理器，通过借鉴生物神经网络结构，例如借鉴人脑神经元之间传递模式，对输入信息快速处理，还可以不断的自学习。通过NPU可以实现电子设备100的智能认知等应用，例如：图像识别，人脸识别，语音识别，文本理解等。
外部存储器接口120可以用于连接外部存储卡，例如Micro SD卡，实现扩展电子设备100的存储能力。外部存储卡通过外部存储器接口120与处理器110通信，实现数据存储功能。例如将音乐，视频等文件保存在外部存储卡中。
内部存储器121可以用于存储计算机可执行程序代码，所述可执行程序代码包括指令。内部存储器121可以包括存储程序区和存储数据区。其中，存储程序区可存储操作系统，至少一个功能所需的应用程序(比如声音播放功能，图像播放功能等)等。存储数据区可存储电子设备100使用过程中所创建的数据(比如音频数据，电话本等)等。此外，内部存储器121可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件，闪存器件，通用闪存存储器(universal flash storage，UFS)等。处理器110通过运行存储在内部存储器121的指令，和/或存储在设置于处理器中的存储器的指令，执行电子设备100的各种功能应用以及数据处理。
电子设备100可以通过音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，以及应用处理器等实现音频功能。例如音乐播放，录音等。
音频模块170用于将数字音频信息转换成模拟音频信号输出，也用于将模拟音频输入转换为数字音频信号。音频模块170还可以用于对音频信号编码和解码。在一些实施例中，音频模块170可以设置于处理器110中，或将音频模块170的部分功能模块设置于处理器110中。
扬声器170A，也称“喇叭”，用于将音频电信号转换为声音信号。电子设备100可以通过扬声器170A收听音乐，或收听免提通话。
受话器170B，也称“听筒”，用于将音频电信号转换成声音信号。当电子设备100接听电话或语音信息时，可以通过将受话器170B靠近人耳接听语音。
麦克风170C，也称“话筒”，“传声器”，用于将声音信号转换为电信号。当拨打电话或发送语音信息时，用户可以通过人嘴靠近麦克风170C发声，将声音信号输入到麦克风170C。电子设备100可以设置至少一个麦克风170C。在另一些实施例中，电子设备100可以设置两个麦克风170C，除了采集声音信号，还可以实现降噪功能。在另一些实施例中，电子设备100还可以设置三个，四个或更多麦克风170C，实现采集声音信号，降噪，还可以识别声音来源，实现定向录音功能等。
耳机接口170D用于连接有线耳机。耳机接口170D可以是USB接口130，也可以是3.5mm的开放移动可穿戴设备平台(open mobile terminal platform，OMTP)标准接口，美国蜂窝电信工业协会(cellular telecommunications industry association of the USA，CTIA)标准接口。
压力传感器180A用于感受压力信号，可以将压力信号转换成电信号。在一些实施例中，压力传感器180A可以设置于显示屏194。压力传感器180A的种类很多，如电阻式压力传感器，电感式压力传感器，电容式压力传感器等。电容式压力传感器可以是包括至少两个具有导电材料的平行板。当有力作用于压力传感器180A，电极之间的电容改变。电子设备100根据电容的变化确定压力的强度。当有触摸操作作用于显示屏194，电子设备100根据压力传感器180A检测所述触摸操作强度。电子设备100也可以根据压力传感器180A的检测信号计算触摸的位置。在一些实施例中，作用于相同触摸位置，但不同触摸操作强度的触摸操作，可以对应不同的操作指令。例如：当有触摸操作强度小于第一压力阈值的触摸操作作用于短消息应用图标时，执行查看短消息的指令。当有触摸操作强度大于或等于第一压力阈值的触摸操作作用于短消息应用图标时，执行新建短消息的指令。
陀螺仪传感器180B可以用于确定电子设备100的运动姿态。在一些实施例中，可以通过陀螺仪传感器180B确定电子设备100围绕三个轴(即，x，y和z轴)的角速度。陀螺仪传感器180B可以用于拍摄防抖。示例性的，当按下快门，陀螺仪传感器180B检测电子设备100抖动的角度，根据角度计算出镜头模组需要补偿的距离，让镜头通过反向运动抵消电子设备100的抖动，实现防抖。陀螺仪传感器180B还可以用于导航，体感游戏场景。
气压传感器180C用于测量气压。在一些实施例中，电子设备100通过气压传感器180C测得的气压值计算海拔高度，辅助定位和导航。
磁传感器180D包括霍尔传感器。电子设备100可以利用磁传感器180D检测翻盖皮套的开合。在一些实施例中，当电子设备100是翻盖机时，电子设备100可以 根据磁传感器180D检测翻盖的开合。进而根据检测到的皮套的开合状态或翻盖的开合状态，设置翻盖自动解锁等特性。
加速度传感器180E可检测电子设备100在各个方向上(一般为三轴)加速度的大小。当电子设备100静止时可检测出重力的大小及方向。还可以用于识别可穿戴设备姿态，应用于横竖屏切换，计步器等应用。
距离传感器180F，用于测量距离。电子设备100可以通过红外或激光测量距离。在一些实施例中，拍摄场景，电子设备100可以利用距离传感器180F测距以实现快速对焦。
接近光传感器180G可以包括例如发光二极管(LED)和光检测器，例如光电二极管。发光二极管可以是红外发光二极管。电子设备100通过发光二极管向外发射红外光。电子设备100使用光电二极管检测来自附近物体的红外反射光。当检测到充分的反射光时，可以确定电子设备100附近有物体。当检测到不充分的反射光时，电子设备100可以确定电子设备100附近没有物体。电子设备100可以利用接近光传感器180G检测用户手持电子设备100贴近耳朵通话，以便自动熄灭屏幕达到省电的目的。接近光传感器180G也可用于皮套模式，口袋模式自动解锁与锁屏。
环境光传感器180L用于感知环境光亮度。电子设备100可以根据感知的环境光亮度自适应调节显示屏194亮度。环境光传感器180L也可用于拍照时自动调节白平衡。环境光传感器180L还可以与接近光传感器180G配合，检测电子设备100是否在口袋里，以防误触。
指纹传感器180H用于采集指纹。电子设备100可以利用采集的指纹特性实现指纹解锁，访问应用锁，指纹拍照，指纹接听来电等。
温度传感器180J用于检测温度。在一些实施例中，电子设备100利用温度传感器180J检测的温度，执行温度处理策略。例如，当温度传感器180J上报的温度超过阈值，电子设备100执行降低位于温度传感器180J附近的处理器的性能，以便降低功耗实施热保护。在另一些实施例中，当温度低于另一阈值时，电子设备100对电池142加热，以避免低温导致电子设备100异常关机。在其他一些实施例中，当温度低于又一阈值时，电子设备100对电池142的输出电压执行升压，以避免低温导致的异常关机。
触摸传感器180K，也称“触控器件”。触摸传感器180K可以设置于显示屏194，由触摸传感器180K与显示屏194组成触摸屏，也称“触控屏”。触摸传感器180K用于检测作用于其上或附近的触摸操作。触摸传感器可以将检测到的触摸操作传递给应用处理器，以确定触摸事件类型。可以通过显示屏194提供与触摸操作相关的视觉输出。在另一些实施例中，触摸传感器180K也可以设置于电子设备100的表面，与显示屏194所处的位置不同。
骨传导传感器180M可以获取振动信号。在一些实施例中，骨传导传感器180M可以获取人体声部振动骨块的振动信号。骨传导传感器180M也可以接触人体脉搏，接收血压跳动信号。在一些实施例中，骨传导传感器180M也可以设置于耳机中，结合成骨传导耳机。音频模块170可以基于所述骨传导传感器180M获取的声部振动骨块的振动信号，解析出语音信号，实现语音功能。应用处理器可以基于所述骨传导 传感器180M获取的血压跳动信号解析心率信息，实现心率检测功能。
按键190包括开机键，音量键等。按键190可以是机械按键。也可以是触摸式按键。电子设备100可以接收按键输入，产生与电子设备100的用户设置以及功能控制有关的键信号输入。
马达191可以产生振动提示。马达191可以用于来电振动提示，也可以用于触摸振动反馈。例如，作用于不同应用(例如拍照，音频播放等)的触摸操作，可以对应不同的振动反馈效果。作用于显示屏194不同区域的触摸操作，马达191也可对应不同的振动反馈效果。不同的应用场景(例如：时间提醒，接收信息，闹钟，游戏等)也可以对应不同的振动反馈效果。触摸振动反馈效果还可以支持自定义。
指示器192可以是指示灯，可以用于指示充电状态，电量变化，也可以用于指示消息，未接来电，通知等。
SIM卡接口195用于连接SIM卡。SIM卡可以通过插入SIM卡接口195，或从SIM卡接口195拔出，实现和电子设备100的接触和分离。电子设备100可以支持1个或N个SIM卡接口，N为大于1的正整数。SIM卡接口195可以支持Nano SIM卡，Micro SIM卡，SIM卡等。同一个SIM卡接口195可以同时插入多张卡。所述多张卡的类型可以相同，也可以不同。SIM卡接口195也可以兼容不同类型的SIM卡。SIM卡接口195也可以兼容外部存储卡。电子设备100通过SIM卡和网络交互，实现通话以及数据通信等功能。在一些实施例中，电子设备100采用eSIM，即：嵌入式SIM卡。eSIM卡可以嵌在电子设备100中，不能和电子设备100分离。
为了便于理解，本申请以下实施例将以具有图1所示结构的可穿戴设备为例，结合附图和应用场景，对本申请实施例提供的易孕期的预测方法进行具体阐述。
图2为本申请一个实施例提供的易孕期的预测方法的系统架构图，上述系统架构中可以包括电子设备100(例如：手机)和可穿戴设备(例如：手表)。如图2所示，手表用于采集用户的生理参数，手机上运行女性生理周期应用，并与手表进行生理参数和预测数据同步；当然这只是一种实现方式，也可以手表采集用户的生理参数，以及运行女性生理周期应用，并与手机进行预测数据同步。用户可通过女性生理周期应用输入经期的开始和结束日期、身体症状和/或心情等信息；手机上运行的易孕期预测算法可以基于采集的生理参数、用户输入的数据以及历史的预测结果，进行易孕期窗口的预测。最后，手机通过女性生理周期应用展示预测的易孕期窗口，并提供提醒机制，提醒用户易孕期的开始和结束。
下面基于图2所示的系统架构图，对本申请实施例提供的易孕期的预测方法进行介绍。
图3为本申请一个实施例提供的易孕期的预测方法的流程图，如图3所示，上述易孕期的预测方法可以包括：
步骤301，电子设备100获取用户的生理参数和用户输入的经期数据，以及获取用户佩戴可穿戴设备的时长。
步骤302，如果用户佩戴可穿戴设备的时长大于或等于预定时长，则电子设备100根据上述生理参数和用户输入的经期数据，确定当前时间是否为易孕期。
其中，上述预定时长可以在具体实现时，根据系统性能和/或实现需求等自行设定，举例来说，上述预定时长可以为30天。
步骤303，如果当前时间不是易孕期，则电子设备100判断当前时间是否进入初始窗口。然后执行步骤304或步骤306。
其中，上述初始窗口是电子设备100根据用户输入的经期数据预测的易孕期窗口，上述初始窗口的长度大于预定的第一窗口长度。上述预定的第一窗口长度可以在具体实现时根据系统性能和/或实现需求等自行设定，本实施例对上述预定的第一窗口长度的大小不作限定，举例来说，上述预定的第一窗口长度可以为6天。
步骤304，如果当前时间在初始窗口内，则电子设备100缩短上述初始窗口的长度。
具体地，缩短上述初始窗口的长度可以为：延迟上述初始窗口的起始时间；更具体地，延迟上述初始窗口的起始时间可以为：将上述初始窗口的起始时间延迟预定的单位时长，以。
其中，上述预定的单位时长可以在具体实现时根据系统性能和/或实现需求等自行设定，本实施例对上述预定的单位时长的长短不作限定，举例来说，上述预定的单位时长可以为1天。
步骤305，电子设备100输出缩短后获得的窗口。
具体地，电子设备100输出缩短后获得的窗口可以为：电子设备100显示缩短后获得的窗口；或者，电子设备100将缩短后获得的窗口发送给另一电子设备，由另一电子设备进行显示。
本实施例中，如果当前时间不是易孕期并且当前时间在初始窗口内，则电子设备100将上述初始窗口的开始日期延迟1天，直至将易孕期窗口缩短至预定的第一窗口长度。
步骤306，如果当前时间还未进入上述初始窗口，则电子设备100输出上述初始窗口。
另外，步骤301之后，还可以包括：
步骤307，如果用户佩戴上述可穿戴设备的时长小于预定时长，则输出初始窗口。
上述易孕期的预测方法中，电子设备100获取用户的生理参数和用户输入的经期数据，以及获取用户佩戴可穿戴设备的时长，如果用户佩戴可穿戴设备的时长大于或等于预定时长，则电子设备100根据上述生理参数和用户输入的经期数据，确定当前时间是否为易孕期，如果当前时间不是易孕期，则电子设备100判断当前时间是否进入初始窗口，如果当前时间在初始窗口内，则电子设备100缩短上述初始窗口的长度，并输出缩短后获得的窗口，从而可以实现随着用户佩戴可穿戴设备时长的增加，逐步缩短用户的易孕期窗口，提高易孕期窗口的预测准确性，增强用户使用粘性与使用体验。
图4为本申请另一个实施例提供的易孕期的预测方法的流程图，如图4所示，本申请图3所示实施例中，步骤302之后，还可以包括：
步骤401，如果当前时间是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
其中，当前月经周期是指当前时间所属的月经周期。
具体地，以预定的第一窗口长度为6天为例，如果电子设备100根据生理参数和用户输入的经期数据，确定当前时间为易孕期，则可以确定当前月经周期的易孕期窗口为从当天开始的6天。
步骤402，输出当前月经周期的易孕期窗口。
进一步地，步骤401之后，电子设备100还可以确定下一周期的易孕期窗口的长度为预定的第一窗口长度。
图5为本申请再一个实施例提供的易孕期的预测方法的流程图，如图5所示，本申请图3所示实施例中，步骤301之后，还可以执行步骤501或步骤504：
步骤501，如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴上述可穿戴设备的时长大于或等于预定时长时，电子设备100根据上述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期。然后，执行步骤502或步骤503。
其中，前次获取的经期数据可以为当前时间之前，电子设备100获取的经期数据。
步骤502，如果当前时间为易孕期，则电子设备100确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
步骤503，如果当前时间不是易孕期，则电子设备100确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
举例来说，同样以预定的第一窗口长度为6天为例，当用户佩戴上述可穿戴设备的时长大于或等于预定时长时，如果根据上述生理参数和当前时间的经期数据，预测当前时间为易孕期，则确定当前月经周期的易孕期窗口为从当天开始的6天；而如果预测当前时间不是易孕期，则确定当前月经周期的易孕期窗口为未来6天。
步骤504，如果当前时间获取的经期数据与前次获取的经期数据不同，当用户佩戴上述可穿戴设备的时长小于预定时长时，电子设备100获取前次预测的易孕期窗口的长度。
其中，前次预测的易孕期窗口的长度可以为当前时间之前，电子设备100预测的易孕期窗口的长度。
步骤505，电子设备100根据生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期。然后，执行步骤506或步骤507。
步骤506，如果当前时间为易孕期，则电子设备100确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
步骤507，如果当前时间不是易孕期，则电子设备100确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
本实施例中，当前时间获取的经期数据与前次获取的经期数据不同，说明用户 在前次使用电子设备100中安装的女性生理周期应用之后，当前时间之前修改了经期数据。简单来说，如果用户在前次使用上述女性生理周期应用之后，当前时间之前修改了经期数据，那么当用户佩戴上述可穿戴设备的时长大于或等于预定时长时，电子设备100预测的易孕期窗口的长度为预定的第一窗口长度，当用户佩戴上述可穿戴设备的时长小于预定时长时，电子设备100预测的易孕期窗口的长度与前次预测的易孕期窗口的长度相同。
下面以初始窗口为10天，预定的第一窗口长度为6天为例，结合附图，对本申请实施例提供的易孕期的预测方法进行介绍。
图6为本申请再一个实施例提供的易孕期的预测方法的示意图，本实施例中，当前时间为当天，下面介绍当天已进入10天的初始窗口，预测易孕期窗口逐渐缩短至6天的方案。
如前所述，在用户佩戴可穿戴设备的天数小于预定时长时，电子设备100预测10天的初始窗口；在当天进入10天的初始窗口之后，电子设备100检测当天不是易孕期时，逐日缩短初始窗口，最终将预测的易孕期窗口缩短至6天。
如图6所示，2022年4月12日前，由于用户佩戴可穿戴设备的天数不足，电子设备100预测10天的初始窗口，为4.12～4.21日；此时，5月份的易孕期窗口也为10天。
4月12日，进入初始窗口的首日。电子设备100自动检测当天不是易孕期，并且用户佩戴可穿戴设备的天数已达到预定时长，于是易孕期的开始日期延后一天至4月13日，易孕期窗口长度缩短为9天。此时，5月份的易孕期窗口仍然为10天。
4月13日，进入缩短后的易孕期窗口的首日。电子设备100自动检测当天不是易孕期，并且用户佩戴可穿戴设备的天数已达到预定时长，于是易孕期的开始日期再延后一天至4月14日，易孕期窗口长度缩短为8天。此时，5月份的易孕期窗口仍然为10天。
4月14日，进入缩短后的易孕期窗口的首日。电子设备100自动检测当天是易孕期，并且用户佩戴可穿戴设备的天数已达到预定时长，于是易孕期窗口的长度缩短为从4月14日开始的6天。此时，5月份的易孕期窗口也调整为6天。
由此可以看出，随着用户佩戴可穿戴设备的天数的增加，电子设备100预测的易孕期窗口由10天逐渐缩短至6天，从而使用户体验到“越戴越准确”。
图7为本申请再一个实施例提供的易孕期的预测方法的示意图，如图7所示，如果用户佩戴可穿戴设备的时长小于预定时长，前次预测的易孕期窗口的长度为6天，那么修改经期数据之后，仍然预测6天的易孕期窗口。同样，如果用户佩戴可穿戴设备的时长小于预定时长，前次预测的易孕期窗口的长度为10天，那么修改经期数据之后，仍然预测10天的易孕期窗口。
图8为本申请再一个实施例提供的易孕期的预测方法的示意图，如图8所示，如果用户佩戴可穿戴设备的时长大于或等于预定时长，用户于当日修改经期，电子设备100检测到当日为易孕期，则预测的易孕期窗口为当天开始的6天。
图9为本申请再一个实施例提供的易孕期的预测方法的示意图，如图9所示，如果用户佩戴可穿戴设备的时长大于或等于预定时长，用户于当日修改经期，电子设备100检测到当日不是易孕期，则预测未来6天的易孕期窗口。
从图7～图9可以看出，本申请实施例提出的结合历史预测易孕期窗口的天数、用户佩戴可穿戴设备的时长和生理数据进行预测的方法，在用户修改经期时，可以避免易孕期窗口的长度跳变，提高了用户体验。
可以理解的是，上述实施例中的部分或全部步骤或操作仅是示例，本申请实施例还可以执行其它操作或者各种操作的变形。此外，各个步骤可以按照上述实施例呈现的不同的顺序来执行，并且有可能并非要执行上述实施例中的全部操作。
可以理解的是，电子设备为了实现上述功能，其包含了执行各个功能相应的硬件和/或软件模块。结合本申请所公开的实施例描述的各示例的算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。本领域技术人员可以结合实施例对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本实施例可以根据上述方法实施例对电子设备进行功能模块的划分，例如，可以对应各个功能划分各个功能模块，也可以将两个或两个以上的功能集成在一个模块中。上述集成的模块可以采用硬件的形式实现。需要说明的是，本实施例中对模块的划分是示意性的，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
图10为本申请另一个实施例提供的电子设备的结构示意图，在采用对应各个功能划分各个功能模块的情况下，图10示出了上述实施例中涉及的电子设备1000的一种可能的组成示意图，如图10所示，该电子设备1000可以包括：获取模块1001、确定模块1002、判断模块1003、缩短模块1004和输出模块1005；
其中，获取模块1001，用于获取用户的生理参数和用户输入的经期数据；以及获取用户佩戴可穿戴设备的时长；
确定模块1002，用于当用户佩戴上述可穿戴设备的时长大于或等于预定时长时，根据上述生理参数和用户输入的经期数据，确定当前时间是否为易孕期；
判断模块1003，用于在当前时间不是易孕期时，判断当前时间是否进入初始窗口；其中，上述初始窗口是根据用户输入的经期数据预测的，上述初始窗口的长度大于预定的第一窗口长度；
缩短模块1004，用于在当前时间在初始窗口内时，缩短上述初始窗口的长度；具体地，缩短模块1004具体用于延迟上述初始窗口的起始时间；更具体地，缩短模块1004，具体用于将上述初始窗口的起始时间延迟预定的单位时长。
输出模块1005，用于输出缩短后获得的窗口。
进一步地，输出模块1005，还用于在判断模块1003判断当前时间是否进入初始窗口之后，如果当前时间还未进入上述初始窗口，则输出上述初始窗口。
确定模块1002，还用于在确定当前时间是否为易孕期之后，如果当前时间是易 孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度；其中，当前月经周期包括当前时间所属的月经周期。
输出模块1005，还用于输出当前月经周期的易孕期窗口。
进一步地，确定模块1002，还用于在确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度之后，确定下一月经周期的易孕期窗口的长度为预定的第一窗口长度。
进一步地，输出模块1005，还用于在获取模块1001获取用户佩戴可穿戴设备的时长之后，如果用户佩戴可穿戴设备的时长小于预定时长，则输出初始窗口。
进一步地，本实施例中，确定模块1002，还用于在获取模块1001获取用户的生理参数和用户输入的经期数据之后，如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴可穿戴设备的时长大于或等于预定时长时，根据上述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
另外，获取模块1001，还用于在当前时间获取的经期数据与前次获取的经期数据不同时，如果用户佩戴可穿戴设备的时长小于预定时长，则获取前次预测的易孕期窗口的长度；
确定模块1002，还用于根据上述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度；如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
需要说明的是，上述方法实施例涉及的各步骤的所有相关内容均可以援引到对应功能模块的功能描述，在此不再赘述。
本实施例提供的电子设备1000，用于执行本申请图3～图5所示实施例提供的易孕期的预测方法，因此可以达到与上述方法相同的效果。
应当理解的是，电子设备1000可以对应于图1所示的电子设备。其中，获取模块1001、确定模块1002、判断模块1003和缩短模块1004的功能可以由图1所示电子设备中的处理器110实现；输出模块1005的功能可以由图1所示电子设备中的处理器110和显示屏194实现。
在采用集成的单元的情况下，电子设备1000可以包括处理模块、存储模块和通信模块。
其中，处理模块可以用于对电子设备1000的动作进行控制管理，例如，可以用于支持电子设备1000执行上述获取模块1001、确定模块1002、判断模块1003、缩短模块1004和输出模块1005执行的步骤。存储模块可以用于支持电子设备1000存 储程序代码和数据等。通信模块，可以用于支持电子设备1000与其他设备的通信。
其中，处理模块可以是处理器或控制器，其可以实现或执行结合本申请公开内容所描述的各种示例性的逻辑方框、模块和电路。处理器也可以是实现计算功能的组合，例如包含一个或多个微处理器组合，数字信号处理(digital signal processing，DSP)和微处理器的组合等等。存储模块可以是存储器。通信模块具体可以为射频电路、蓝牙芯片和/或Wi-Fi芯片等与其他电子设备交互的设备。
在一个实施例中，当处理模块为处理器，存储模块为存储器时，本实施例所涉及的电子设备1000可以为具有图1所示结构的设备。
本申请实施例还提供一种计算机可读存储介质，该计算机可读存储介质中存储有计算机程序，当其在计算机上运行时，使得计算机执行本申请图3～图5所示实施例提供的方法。
本申请实施例还提供一种计算机程序产品，该计算机程序产品包括计算机程序，当其在计算机上运行时，使得计算机执行本申请图3～图5所示实施例提供的方法。
本申请实施例中，“至少一个”是指一个或者多个，“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示单独存在A、同时存在A和B、单独存在B的情况。其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项”及其类似表达，是指的这些项中的任意组合，包括单项或复数项的任意组合。例如，a，b和c中的至少一项可以表示：a，b，c，a和b，a和c，b和c或a和b和c，其中a，b，c可以是单个，也可以是多个。
本领域普通技术人员可以意识到，本文中公开的实施例中描述的各单元及算法步骤，能够以电子硬件、计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，任一功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(read-only memory，ROM)、随机存取存储器(random access memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。本申请的保护范围应以所述权利要求的保护范围为准。

Claims (20)

  1. 一种易孕期的预测方法，其特征在于，包括：
    获取用户的生理参数和用户输入的经期数据；
    获取用户佩戴可穿戴设备的时长；
    如果所述用户佩戴所述可穿戴设备的时长大于或等于预定时长，则根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期；
    如果当前时间不是易孕期，则判断当前时间是否进入初始窗口；其中，所述初始窗口是根据所述用户输入的经期数据预测的，所述初始窗口的长度大于预定的第一窗口长度；
    如果当前时间在初始窗口内，则缩短所述初始窗口的长度；
    输出缩短后获得的窗口。
  2. 根据权利要求1所述的方法，其特征在于，所述缩短所述初始窗口的长度包括：
    延迟所述初始窗口的起始时间。
  3. 根据权利要求2所述的方法，其特征在于，所述延迟所述初始窗口的开始日期包括：
    将所述初始窗口的起始时间延迟预定的单位时长。
  4. 根据权利要求1所述的方法，其特征在于，所述判断当前时间是否进入初始窗口之后，还包括：
    如果当前时间还未进入所述初始窗口，则输出所述初始窗口。
  5. 根据权利要求1所述的方法，其特征在于，所述根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期之后，还包括：
    如果当前时间是易孕期，则确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；其中，所述当前月经周期包括当前时间所属的月经周期；
    输出所述当前月经周期的易孕期窗口。
  6. 根据权利要求5所述的方法，其特征在于，所述确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度之后，还包括：
    确定下一月经周期的易孕期窗口的长度为预定的第一窗口长度。
  7. 根据权利要求1所述的方法，其特征在于，所述获取用户佩戴可穿戴设备的时长之后，还包括：
    如果所述用户佩戴所述可穿戴设备的时长小于预定时长，则输出初始窗口。
  8. 根据权利要求1所述的方法，其特征在于，所述获取用户的生理参数和用户输入的经期数据之后，还包括：
    如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴所述可穿戴设备的时长大于或等于预定时长时，根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；
    如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前 时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；
    如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
  9. 根据权利要求8所述的方法，其特征在于，还包括：
    如果当前时间获取的经期数据与前次获取的经期数据不同，当用户佩戴所述可穿戴设备的时长小于预定时长时，获取前次预测的易孕期窗口的长度；
    根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；
    如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度；
    如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度。
  10. 一种易孕期的预测装置，其特征在于，包括：
    获取模块，用于获取用户的生理参数和用户输入的经期数据；以及获取用户佩戴可穿戴设备的时长；
    确定模块，用于当所述用户佩戴所述可穿戴设备的时长大于或等于预定时长时，根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期；
    判断模块，用于在当前时间不是易孕期时，判断当前时间是否进入初始窗口；其中，所述初始窗口是根据所述用户输入的经期数据预测的，所述初始窗口的长度大于预定的第一窗口长度；
    缩短模块，用于在当前时间在初始窗口内时，缩短所述初始窗口的长度；
    输出模块，用于输出缩短后获得的窗口。
  11. 一种电子设备，其特征在于，包括：
    一个或多个处理器；存储器；多个应用程序；以及一个或多个计算机程序，其中所述一个或多个计算机程序被存储在所述存储器中，所述一个或多个计算机程序包括指令，当所述指令被所述电子设备执行时，使得所述电子设备执行以下步骤：
    获取用户的生理参数和用户输入的经期数据；
    获取用户佩戴可穿戴设备的时长；
    如果所述用户佩戴所述可穿戴设备的时长大于或等于预定时长，则根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期；
    如果当前时间不是易孕期，则判断当前时间是否进入初始窗口；其中，所述初始窗口是根据所述用户输入的经期数据预测的，所述初始窗口的长度大于预定的第一窗口长度；
    如果当前时间在初始窗口内，则缩短所述初始窗口的长度；
    输出缩短后获得的窗口。
  12. 根据权利要求11所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述缩短所述初始窗口的长度的步骤包括：
    延迟所述初始窗口的起始时间。
  13. 根据权利要求12所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述延迟所述初始窗口的起始时间的步骤包括：
    将所述初始窗口的起始时间延迟预定的单位时长。
  14. 根据权利要求11所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述判断当前时间是否进入初始窗口的步骤之后，还执行以下步骤：
    如果当前时间还未进入所述初始窗口，则输出所述初始窗口。
  15. 根据权利要求11所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述根据所述生理参数和所述用户输入的经期数据，确定当前时间是否为易孕期的步骤之后，还执行以下步骤：
    如果当前时间是易孕期，则确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；其中，所述当前月经周期包括当前时间所属的月经周期；
    输出所述当前月经周期的易孕期窗口。
  16. 根据权利要求15所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述确定当前月经周期的易孕期窗口的起始时间为前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度的步骤之后，还执行以下步骤：
    确定下一月经周期的易孕期窗口的长度为预定的第一窗口长度。
  17. 根据权利要求11所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述获取用户佩戴可穿戴设备的时长的步骤之后，还执行以下步骤：
    如果所述用户佩戴所述可穿戴设备的时长小于预定时长，则输出初始窗口。
  18. 根据权利要求11所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备执行所述获取用户的生理参数和用户输入的经期数据的步骤之后，还执行以下步骤：
    如果当前时间获取的经期数据与前次获取的经期数据不同，则当用户佩戴所述可穿戴设备的时长大于或等于预定时长时，根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；
    如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为预定的第一窗口长度；
    如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为预定的第一窗口长度。
  19. 根据权利要求18所述的电子设备，其特征在于，当所述指令被所述电子设备执行时，使得所述电子设备还执行以下步骤：
    如果当前时间获取的经期数据与前次获取的经期数据不同，当用户佩戴所述可穿戴设备的时长小于预定时长时，获取前次预测的易孕期窗口的长度；
    根据所述生理参数和当前时间获取的经期数据，预测当前时间是否为易孕期；
    如果当前时间为易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间，所述当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的长度；
    如果当前时间不是易孕期，则确定当前月经周期的易孕期窗口的起始时间为当前时间之后的时间，当前月经周期的易孕期窗口的长度为前次预测的易孕期窗口的 长度。
  20. 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质中存储有计算机程序，当其在计算机上运行时，使得计算机执行如权利要求1-9任一项所述的方法。
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