Wearable ovulation monitoring device and method

Abstract

The invention discloses a wearable ovulation monitoring device and method, and relates to the technical field of monitoring equipment.The wearable ovulation monitoring device comprises a wearable main body and an ultrasonic probe, the device uses the ultrasonic probe to obtain ultrasonic images of ovaries of a detected object in different monitoring periods and multiple follicles in the ovaries, and the ultrasonic images are sent to the wearable main body; ovulation parameters including ovary volume, follicle volume, follicle fluid content, follicle wall thickness and the like are extracted from the ultrasonic image through the ultrasonic image processing unit, and the growth speed and the growth stage are determined by the ovulation prediction unit according to the ovulation parameters. And generating and outputting an ovulation monitoring result by using the corresponding development evaluation model and the ovulation prediction model. The portable elastic bellyband is adopted as a main carrier for follicle monitoring, the ultrasonic probe is installed on the portable elastic bellyband, the portable elastic bellyband is attached to the belly for use, the portable elastic bellyband has the advantages of being small, portable, easy to operate and easy to master, and accurate estimation and planned pregnancy guidance or contraception guidance of the ovulatory period can be achieved through the processor.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring equipment, and in particular to a wearable ovulation monitoring device and method. Background Art

[0002] The growth and development of follicles is a gradual process. Women generally only grow and develop one dominant follicle in a normal menstrual cycle. Under continuous B-ultrasound monitoring, the follicles before ovulation are in the growth stage, and their gradual development from small to large can be observed. If calculated based on the entire menstrual cycle of 28 days, the dominant follicle will appear around the 10th day of the menstrual cycle, about 12mm in size and oval in shape. The follicle will grow at a rate of 2-3mm per day, and ovulation will occur when it grows to 18mm or more. For patients who monitor follicles, they can monitor once a day to check the growth and development of the follicles and manage the time of sexual intercourse.

[0003] For infertile patients who use ovulation-inducing drugs to stimulate the growth and development of follicles, they can also use the ovarian images monitored by the device to check the number of follicles, adjust the dosage of ovulation-inducing drugs, and determine the time of ovulation, thereby guiding sexual intercourse.

[0004] Traditional follicle monitoring requires going to the hospital and using large equipment for monitoring. Patients need to go in and out of the hospital frequently during a menstrual cycle, and have to face problems such as queuing for payment and examinations, which will consume a lot of time and energy. At the same time, there may be a risk of cross-infection when multiple people use the same vaginal B-ultrasound probe. For hospitals, traditional vaginal B-ultrasound monitors are expensive and have high technical requirements for testing personnel. In response to the above problems, a wearable ovulation monitoring device and method have been developed to solve the above problems. Summary of the invention

[0005] In view of the defects in the prior art, the present invention provides a wearable ovulation monitoring device and method to solve the problems of high cost and inconvenience of the prior ovulation monitoring.

[0006] On the one hand, a wearable ovulation monitoring device is provided, comprising a wearable body and a sensor probe, wherein a button is arranged outside the wearable body, a processor, an Internet of Things module and a lithium battery power source are arranged inside the wearable body, the sensor probe comprises an ultrasonic probe, and the ultrasonic probe, the Internet of Things module and the button are respectively connected to the processor;

[0007] The ultrasonic probe is used to obtain ultrasonic images of the ovaries and multiple follicles contained in the ovaries of the subject at different monitoring periods;

[0008] The processor includes an ultrasonic image processing unit and an ovulation prediction unit;

[0009] The ultrasonic image processing unit is used to extract ovulation parameters from the ultrasonic image, wherein the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness;

[0010] The ovulation prediction unit is used to determine the growth rate according to the ovulation parameters, determine the growth stage according to the growth rate parameters, call the development assessment model and ovulation prediction model corresponding to the growth stage, and generate and output ovulation monitoring results.

[0011] Preferably, the wearable body comprises an elastic belly band, both ends of which are provided with adhesive elastic fabrics, and the sensor probe, Internet of Things module, button and processor are all arranged in the middle of the elastic belly band.

[0012] Preferably, a reminder module is further provided in the middle of the elastic belly band, and the reminder module comprises an indicator light and a buzzer, and the indicator light and the buzzer are respectively connected to the processor.

[0013] Preferably, the Internet of Things module adopts a WIFI communication Internet of Things module.

[0014] Preferably, extracting ovulation parameters from the ultrasonic image includes:

[0015] Preprocessing the ultrasound image;

[0016] Segmenting the preprocessed ultrasound image to determine the follicle region map and the ovary region map;

[0017] Ovulation parameters are extracted from the follicle region map and the ovary region map.

[0018] Preferably, extracting ovulation parameters from the follicle region map and the ovary region map comprises:

[0019] The follicle region map is layered to obtain a follicle layer map, the outer contour of the follicle in each follicle layer map is refitted and the first area of ​​the refitted figure is calculated, and the follicle volume is determined according to the first area;

[0020] Refitting the inner contour of the follicle in each follicle layer map and calculating the second area of ​​the fitted figure, and determining the thickness of the follicle wall according to the difference between the first area and the second area;

[0021] Refitting the contour of the anechoic area in each follicle layer map and calculating the third area of ​​the refitted map, and determining the follicle fluid content according to the third area;

[0022] The ovarian region map is layered to obtain an ovarian hierarchical map, each ovarian hierarchical map is refitted and the fourth area of ​​the refitted map is calculated, and the ovarian volume is determined according to the fourth area.

[0023] Preferably, extracting ovulation parameters from the ultrasonic image further comprises: determining segmentation parameters according to the long diameter of the follicle, the segmentation parameters comprising slice thickness and slice interval, and stratifying the follicle region map according to the segmentation parameters.

[0024] Preferably, the growth rate is determined according to the ovulation parameter, the growth stage is determined according to the growth rate parameter, a development assessment model and an ovulation prediction model corresponding to the growth stage are retrieved, and an ovulation monitoring result is generated and outputted, including:

[0025] Inputting the follicle volume, follicular fluid content and follicle wall thickness at different stages into the follicle evaluation model to obtain the follicle change index, and inputting the ovarian volume at different stages into the ovarian evaluation model to obtain the ovarian change index;

[0026] Calculating the growth rate by weight according to the ovarian change index and the follicle change index;

[0027] Determine the developmental stage according to the growth rate, and retrieve a developmental assessment model corresponding to the developmental stage;

[0028] The follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different stages are input into the development assessment model to obtain a development assessment value;

[0029] Judging whether the follicle development is normal according to the development evaluation value and the development evaluation threshold corresponding to the development stage;

[0030] When the follicle development is normal, the ovulation prediction model corresponding to the development stage is called, and the follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different stages are respectively input into the ovulation prediction model to obtain the estimated ovulation period.

[0031] In another aspect, a wearable ovulation monitoring method comprises:

[0032] Acquire ultrasonic images of the ovaries and a plurality of follicles contained in the ovaries of the subject at different monitoring periods;

[0033] Ovulation parameters are extracted from the ultrasonic image, wherein the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness; the growth rate is determined according to the ovulation parameters, the growth stage is determined according to the growth rate parameters, the developmental assessment model and ovulation prediction model corresponding to the generation stage are retrieved, and the ovulation monitoring result is generated and output.

[0034] As a preferred embodiment, it also includes:

[0035] Displaying the ultrasonic image and ovulation monitoring and evaluation results through a mobile terminal;

[0036] Generate a pregnancy timing prompt based on the ovulation monitoring results to assist pregnancy or contraception.

[0037] The beneficial effects of the present invention are as follows: the present invention provides a wearable ovulation monitoring device, which includes a wearable main body and a sensor probe, the wearable main body has a button, and has a processor, an Internet of Things module and a lithium battery power supply inside. The device uses an ultrasonic probe to obtain ultrasonic images of the ovaries and multiple follicles in the ovaries of the subject at different monitoring periods, and extracts ovulation parameters from the ultrasonic images through an ultrasonic image processing unit, including ovarian volume, follicular volume, follicular fluid content and follicular wall thickness, etc. The ovulation prediction unit determines the growth rate and growth stage based on these ovulation parameters, and uses the corresponding development assessment model and ovulation prediction model to generate and output ovulation monitoring results. The present invention adopts a portable elastic abdominal belt as the main carrier for follicle monitoring. An ultrasonic probe is installed on it and attached to the abdomen for use. It is small and portable, and easy to operate and master. It can significantly reduce the number of visits to the hospital by patients, reduce the relevant expenses of patients visiting the hospital, and alleviate the economic burden. It can obtain ultrasonic images of multiple periods through the ultrasonic probe, extract multiple ovulation parameters, predict ovulation through developmental evaluation and ovulation prediction models, and provide corresponding monitoring results, which can help women understand their ovulation status and play a certain guiding role in planning pregnancy or contraception.

[0038] In addition, the present invention also provides a wearable ovulation monitoring method. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0040] Figure 1 A schematic structural diagram of a wearable ovulation monitoring device provided by an embodiment of the present invention;

[0041] Figure 2 A structural schematic diagram of a wearable ovulation monitoring method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0043] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the invention belongs.

[0044] Example 1

[0045] like Figure 1 As shown, an embodiment of the present invention provides a wearable ovulation monitoring device, including a wearable body and a sensor probe, a button is provided on the outside of the wearable body, a processor, an Internet of Things module and a lithium battery power supply are provided inside the wearable body, and the sensor probe includes an ultrasonic probe, and the ultrasonic probe, the Internet of Things module and the button are respectively connected to the processor; the ultrasonic probe is used to obtain ultrasonic images of the ovaries of the object under test and the multiple follicles wrapped by the ovaries in different monitoring periods, and at least two periods are monitored. The ovulation cycle and ovulation day cannot be determined by monitoring a single period; the processor includes an ultrasonic image processing unit and an ovulation prediction unit. The ultrasonic image processing unit is used to extract ovulation parameters from the ultrasonic image, and the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness; the ovulation prediction unit is used to determine the growth rate according to the ovulation parameters, determine the growth stage according to the growth rate parameters, call the development assessment model and ovulation prediction model corresponding to the generation stage, and generate and output the ovulation monitoring result.

[0046] In an embodiment of the present invention, the Internet of Things module can adopt an Internet of Things module for WIFI communication. The data transmission rate using WIFI communication is relatively high, and the transmission speed of ultrasound images is fast. If WIFI is not connected to the Internet, only short-distance communication can be carried out, and the monitoring information cannot be sent to the hospital or the terminal of the user being tested. If WIFI is connected to the Internet, long-distance communication can be carried out.

[0047] In an embodiment of the present invention, the wearable body includes an elastic belly band, both ends of the elastic belly band are provided with adhesive elastic fabrics, and the sensor probe, Internet of Things module, button and processor are all arranged in the middle of the elastic belly band.

[0048] The design of the elastic belly band can provide a comfortable wearing experience, making the user feel comfortable and free during use. The material can be any one of soft elastic fiber materials (such as elastic fiber, elastic yarn, etc.), spandex, latex, etc., which are not shown in this embodiment. The sticky elastic fabrics set at both ends can ensure that the belly band is firmly fixed on the body and is not easy to slide or loosen, thereby providing a stable wearing experience. At the same time, the sensor probe, Internet of Things module, buttons and processors are concentrated in the middle of the belly band, so that the user can easily operate and access related functions without the need for additional equipment or cables. The user can move freely without being restricted to a fixed position. The operation is simple and convenient.

[0049] In order to improve the functionality and user experience of the wearable body, a reminder module is also provided in the middle of the elastic abdominal band. The reminder module includes an indicator light and a buzzer. The indicator light and the buzzer are respectively connected to the processor. Through the real-time feedback provided by the indicator light and the buzzer, the user can immediately understand important information or reminders without relying on other external devices or checking display screens, for example, information such as the predicted ovulation day.

[0050] In an embodiment of the present invention, extracting ovulation parameters from the ultrasonic image includes: preprocessing the ultrasonic image; wherein the preprocessing includes operations such as noise, smoothing and enhancement, and the ultrasonic image is preprocessed to improve the quality and clarity of the image, providing basic support for subsequent processing. Specifically, denoising can be achieved through filtering algorithms such as median filtering, Gaussian filtering, etc., to reduce noise in the image. Enhancement can use methods such as histogram equalization and contrast enhancement; segment the preprocessed ultrasound image to determine the follicle area map and the ovarian area map; stratify the follicle area map to obtain a follicle hierarchy map, refit the outer contour of the follicle in each follicle hierarchy map and calculate the first area of ​​the refitted figure, and determine the follicle volume based on the first area; refit the inner contour of the follicle in each follicle hierarchy map and calculate the second area of ​​the fitted figure, and determine the follicle wall thickness based on the difference between the first area and the second area; refit the contour of the echo-free zone in each follicle hierarchy map and calculate the third area of ​​the refitted figure, and determine the follicle fluid content based on the third area; stratify the ovarian area map to obtain an ovarian hierarchy map, refit each ovarian hierarchy map and calculate the fourth area of ​​the refitted figure, and determine the ovarian volume based on the fourth area.

[0051] In an embodiment of the present invention, extracting ovulation parameters from the ultrasonic image further includes: determining segmentation parameters according to the long diameter of the follicle, the segmentation parameters including slice thickness and slice interval, and stratifying the follicle region map according to the segmentation parameters.

[0052] The thickness of the slice can affect the accuracy. Thinner slices can provide more detailed information, but may require more slices and calculations. Thicker slices can speed up the calculation, but may lose some details. The appropriate slice thickness can be selected as needed. In addition, the interval between slices will also affect the results. Smaller intervals can provide more accurate volume estimates, but the amount of calculation will increase. Larger intervals can speed up the calculation, but may introduce certain errors. Therefore, when stratifying the follicle area map and the ovarian area map, the actual ovarian and follicle lengths need to be considered, and the target segmentation thickness of the two is determined according to the follicle length. Then, according to the target segmentation thickness, the segmentation interval under the same segmentation quality is determined from the segmentation thickness-segmentation interval-segmentation quality mapping table as the target segmentation interval, and then stratified according to the target segmentation thickness and target segmentation interval.

[0053] In an embodiment of the present invention, the growth rate is determined according to the ovulation parameters, the growth stage is determined according to the growth rate parameters, the development evaluation model and the ovulation prediction model corresponding to the generation stage are retrieved, and the ovulation monitoring result is generated and output, including: the follicle volume, follicular fluid content and follicle wall thickness at different periods are input into the follicle evaluation model to obtain the follicle change index, and the ovarian volume at different periods is input into the ovarian evaluation model to obtain the ovarian change index; the growth rate is weightedly calculated according to the ovarian change index and the follicle change index; the development stage is determined according to the growth rate, and the development evaluation model corresponding to the development stage is retrieved; the follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different periods are respectively input into the development evaluation model to obtain the development evaluation value; whether the follicle development is normal is judged according to the development evaluation value and the development evaluation threshold corresponding to the development stage; when the follicle development is normal, the ovulation prediction model corresponding to the development stage is called, and the follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different periods are respectively input into the ovulation prediction model to obtain the estimated ovulation period.

[0054] Specifically, the growth stages of follicles can be divided into a slow-growing primary growth stage and a faster-growing mature stage. Different stages correspond to different growth rates. The existing method indicates the growth rate of follicles by mm / d, that is, the growth rate is indicated by the average growth length. The follicle length is one of the parameters, and it is not the only factor that determines its growth rate. This method cannot be used to determine the growth rate. Therefore, the method of this embodiment that comprehensively considers the follicle volume, follicular fluid content, follicle wall thickness and ovarian volume to evaluate the growth rate can provide more comprehensive, accurate and detailed information, which is helpful to better understand the development of follicles and the ovulation cycle.

[0055] Specifically, during normal ovulation, the average growth rate of the dominant follicle after it appears is 1-2mm / d until ovulation is completed. Before the egg is discharged, the average diameter of the follicle is 18-25mm, with an average of 22mm. After ovulation, the follicle collapses, changing from an oval and full state to a wrinkled state, and a small amount of liquid dark area can be seen in the uterine rectal fossa. In small follicle syndrome, when the dominant follicle appears, the average growth rate of the follicle is ≤1mm / d, and the morphology is basically normal. When the follicle diameter grows to 14-16mm, it will no longer grow and disappear after 24-48h. During normal ovulation, BBT increases within 48h after ovulation or on the day of ovulation. BBT is biphasic, and the high temperature phase lasts for 11-13d. In small follicle syndrome, BBT is atypical biphasic or unidirectional. The high temperature phase of atypical biphasic patients rises slowly and enters the plateau phase after 2-3d. BBT is 0.2-0.3℃ higher than before, and lasts for 9-10d.

[0056] Therefore, in some embodiments, in order to better determine the abnormality type of the subject, the wearable ovulation monitoring device of the present application can be interconnected. If an abnormality occurs, basal body temperature monitoring can be performed, and the abnormality type can be determined based on the basal body temperature monitoring. Auxiliary treatment for ovulation abnormality can be performed based on the abnormality type.

[0057] In summary, the present invention discloses a wearable ovulation monitoring device, which includes a wearable main body and a sensor probe, the wearable main body has a button, and has a processor, an Internet of Things module and a lithium battery power supply inside. The device uses an ultrasonic probe to obtain ultrasonic images of the ovaries and multiple follicles in the ovaries of the object under test at different monitoring periods, and extracts ovulation parameters from the ultrasonic images through an ultrasonic image processing unit, including ovarian volume, follicular volume, follicular fluid content and follicular wall thickness, etc. The ovulation prediction unit determines the growth rate and growth stage according to these ovulation parameters, and uses the corresponding development assessment model and ovulation prediction model to generate and output ovulation monitoring results. The present invention uses a portable elastic abdominal belt as the main carrier for follicle monitoring, and by installing an ultrasonic probe on it and sticking it to the abdomen for use, it has the characteristics of being small and portable, simple to operate and easy to master; it can significantly reduce the number of visits to the hospital by the patient; reduce the relevant expenses of the patient's visit to the hospital, and reduce the economic burden; it can obtain ultrasonic images of multiple periods through the ultrasonic probe, extract multiple ovulation parameters, predict ovulation through development assessment and ovulation prediction models, and provide corresponding monitoring results, which can help women understand their ovulation and have a certain guiding role in planning pregnancy or contraception.

[0058] Example 2

[0059] like Figure 2As shown, an embodiment of the present invention provides a wearable ovulation monitoring method, which obtains ultrasonic images of the ovaries and multiple follicles enclosed by the ovaries of the subject at different monitoring periods; extracts ovulation parameters from the ultrasonic images, and the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness; determines the growth rate according to the ovulation parameters, determines the growth stage according to the growth rate parameters, calls the development assessment model and ovulation prediction model corresponding to the generation stage, and generates and outputs the ovulation monitoring result.

[0060] In the embodiment of the present invention, it also includes: displaying the ultrasonic image and ovulation monitoring evaluation results through a mobile terminal; generating a conception timing prompt based on the ovulation monitoring results to assist pregnancy or contraception.

[0061] A wearable ovulation monitoring method provided in an embodiment of the present invention and a wearable ovulation monitoring device provided in the above embodiment are based on the same inventive concept. For more specific working principles of each step in the embodiment of the present invention, reference can be made to the above embodiment and will not be repeated in the embodiment of the present invention.

[0062] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A wearable ovulation monitoring device, characterized in that: It includes a wearable body and a sensor probe, wherein a button is arranged outside the wearable body, a processor, an Internet of Things module and a lithium battery power source are arranged inside the wearable body, and the sensor probe includes an ultrasonic probe, and the ultrasonic probe, the Internet of Things module and the button are respectively connected to the processor; The ultrasonic probe is used to obtain ultrasonic images of the ovaries and multiple follicles contained in the ovaries of the subject at different monitoring periods; The processor includes an ultrasonic image processing unit and an ovulation prediction unit; The ultrasonic image processing unit is used to extract ovulation parameters from the ultrasonic image, wherein the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness; The ovulation prediction unit is used to determine the growth rate according to the ovulation parameters, determine the growth stage according to the growth rate parameters, call the development assessment model and ovulation prediction model corresponding to the growth stage, and generate and output ovulation monitoring results.

2. A wearable ovulation monitoring device according to claim 1, characterized in that: The wearable main body comprises an elastic belly band, both ends of which are provided with adhesive elastic fabrics, and the sensor probe, Internet of Things module, button and processor are all arranged in the middle of the elastic belly band.

3. A wearable ovulation monitoring device according to claim 2, characterized in that: A reminder module is also arranged in the middle of the elastic belly band. The reminder module comprises an indicator light and a buzzer. The indicator light and the buzzer are respectively connected to the processor.

4. A wearable ovulation monitoring device according to claim 3, characterized in that: The Internet of Things module adopts an Internet of Things module for WIFI communication.

5. A wearable ovulation monitoring device according to claim 1, characterized in that: Extracting ovulation parameters from the ultrasound image includes: Preprocessing the ultrasound image; Segmenting the preprocessed ultrasound image to determine the follicle region map and the ovary region map; Ovulation parameters are extracted from the follicle region map and the ovary region map.

6. A wearable ovulation monitoring device according to claim 5, characterized in that: Extracting ovulation parameters from the follicle area map and the ovary area map includes: The follicle region map is layered to obtain a follicle layer map, the outer contour of the follicle in each follicle layer map is refitted and the first area of ​​the refitted figure is calculated, and the follicle volume is determined according to the first area; Refitting the inner contour of the follicle in each follicle layer map and calculating the second area of ​​the fitted figure, and determining the thickness of the follicle wall according to the difference between the first area and the second area; Refitting the contour of the anechoic area in each follicle layer map and calculating the third area of ​​the refitted map, and determining the follicle fluid content according to the third area; The ovarian region map is layered to obtain an ovarian hierarchical map, each ovarian hierarchical map is refitted and the fourth area of ​​the refitted map is calculated, and the ovarian volume is determined according to the fourth area.

7. A wearable ovulation monitoring device according to claim 6, characterized in that: Extracting ovulation parameters from the ultrasonic image also includes: determining segmentation parameters according to the long diameter of the follicle, the segmentation parameters including slice thickness and slice interval, and stratifying the follicle region map according to the segmentation parameters.

8. A wearable ovulation monitoring device according to claim 8, characterized in that: Determining the growth rate according to the ovulation parameter, determining the growth stage according to the growth rate parameter, retrieving the development assessment model and ovulation prediction model corresponding to the growth stage, generating and outputting the ovulation monitoring result, including: Inputting the follicle volume, follicular fluid content and follicle wall thickness at different stages into the follicle evaluation model to obtain the follicle change index, and inputting the ovarian volume at different stages into the ovarian evaluation model to obtain the ovarian change index; Calculating the growth rate by weight according to the ovarian change index and the follicle change index; Determine the developmental stage according to the growth rate, and retrieve a developmental assessment model corresponding to the developmental stage; The follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different stages are input into the development assessment model to obtain a development assessment value; Judging whether the follicle development is normal according to the development evaluation value and the development evaluation threshold corresponding to the development stage; When the follicle development is normal, the ovulation prediction model corresponding to the development stage is called, and the follicle volume, follicular fluid content, follicle wall thickness and ovarian volume at different stages are respectively input into the ovulation prediction model to obtain the estimated ovulation period.

9. A wearable ovulation monitoring method, applicable to the wearable ovulation monitoring device according to any one of claims 1 to 8, characterized in that: include: Acquire ultrasonic images of the ovaries and a plurality of follicles contained in the ovaries of the subject at different monitoring periods; Ovulation parameters are extracted from the ultrasonic image, wherein the ovulation parameters include ovarian volume, follicular volume, follicular fluid content and follicular wall thickness; the growth rate is determined according to the ovulation parameters, the growth stage is determined according to the growth rate parameters, the developmental assessment model and ovulation prediction model corresponding to the generation stage are retrieved, and the ovulation monitoring result is generated and output.

10. A wearable ovulation monitoring method according to claim 10, characterized in that: Also includes: Displaying the ultrasonic image and ovulation monitoring and evaluation results through a mobile terminal; Generate a pregnancy timing prompt based on the ovulation monitoring results to assist pregnancy or contraception.

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