CN109009234B - Method for evaluating contraception, easy pregnancy and excellent pregnancy based on user information - Google Patents
Method for evaluating contraception, easy pregnancy and excellent pregnancy based on user information Download PDFInfo
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- CN109009234B CN109009234B CN201810517127.9A CN201810517127A CN109009234B CN 109009234 B CN109009234 B CN 109009234B CN 201810517127 A CN201810517127 A CN 201810517127A CN 109009234 B CN109009234 B CN 109009234B
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- 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
- A61B10/0012—Ovulation-period determination
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- 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
- A61B10/0012—Ovulation-period determination
- A61B2010/0019—Ovulation-period determination based on measurement of temperature
Abstract
The invention discloses a method for evaluating contraception, easy pregnancy and excellent pregnancy based on user information, which comprises the following steps: acquiring user physiological data; obtaining physiological condition data of the user on the current day based on the processing of the physiological data; and judging and processing the physiological condition data through physiological cycle information to obtain the current-day contraception, easy pregnancy and excellent pregnancy indexes of the user. The method analyzes according to the basal body temperature information and the physiological cycle information of the user on the same day and history, introduces the contraception index and the fertility index as the intuitive embodiment of the analysis result, so that the user can intuitively and accurately obtain the fertility index, the contraception index and the fertility index of the same day.
Description
Technical Field
The invention relates to the technical field of female physiological information detection and estimation, in particular to a method for evaluating contraception, easy pregnancy and excellent pregnancy based on user information.
Background
At present, with the improvement of living conditions and the acceleration of life rhythm, the fertility appearance of people is also changed. Conception such as contraception and pregnancy is also receiving more and more attention. For women of the right age, whether from the conception of contraception or pregnancy optimization, it is important to know the quality and the schedule of pregnancy in real time.
Traditionally, methods such as a calendar method, a B-ultrasonic monitoring method, a basic body temperature method and the like are used for calculation.
The method of estimating the ovulation period according to the menstrual cycle is also called a calendar (actually, the physiological cycle of women is influenced by the moon and is generally about 29 days). Both menstruation and ovulation are affected by the endocrine hormones of the pituitary and ovary to exhibit periodic changes, both cycles are of the same length, 1 cycle per month, and ovulation occurs in the middle of two menses. Women have long and short menstrual cycles, but the interval between the day of ovulation and the beginning of the next menstruation is relatively constant, generally around 14 days. Based on this relationship between ovulation and menstruation, the ovulation period can be estimated by the menstrual cycle. The calendar method does not acquire any data, and the reliability of the estimation of the relevant time exists.
The B-mode ultrasound monitoring method is the most stable method in clinical results. However, this method requires a specialist to perform operations on a special instrument and make moist the female ovary and other reproductive systems to determine the female ovarian state. However, the method requires high cost of time and money, and can not satisfy the requirement that the female knows the self-fertility and the ovary state in real time.
The basic body temperature method is that the oral surface is placed under the tongue to measure the temperature before any activity is performed after the female wakes up every day, and then parameters such as ovulation quality, corpus luteum quality and the like are analyzed according to a basic body temperature curve, so that the basic body temperature method is widely applied to domestic gynecology.
The existing model for judging whether a user is pregnant or not according to basal body temperature utilizes basic personal information (such as menstrual period and menstrual cycle) of the user and basal body temperature curve data of the current cycle so as to judge the temperature mutation time of the user (namely the ovulation day of the user in the current cycle) to determine the period of pregnancy of the user.
In the prior art, under the condition that user data is missing or insufficient, no reasonable solution is provided for simulating the missing data, and the result accuracy is possibly influenced to a certain extent. The prior art does not have an effective evaluation method for specifically evaluating the physiological condition of the user on the same day, and cannot provide simple and visual physiological state information expression of the user, so that the user cannot intuitively feel specific information of the physiological state, and refined accurate evaluation suggestions cannot be provided for the user.
Disclosure of Invention
The invention aims to provide a method for analyzing the ovary state of a female user according to the relationship between the basal body temperature and the ovary function by effectively utilizing the historical data of the user and providing the evaluation indexes of contraception, easy pregnancy and excellent pregnancy of the female user on the current day based on the analysis result.
In order to solve the above problems, a first aspect of the present invention provides a method for performing contraception, easy pregnancy, and excellent pregnancy evaluation based on user information, acquiring a current date; acquiring user physiological data; based on the processing of the physiological data of the user, acquiring the physiological condition data of the user on the same day; and judging and processing the physiological condition data through the physiological cycle information of the user to obtain a pregnancy reason index of the user on the same day, wherein the pregnancy reason index comprises one or more of a contraception index, a pregnancy easiness index and a pregnancy optimization index.
The user physiological data includes: one or more of the current-day basal body temperature data of the user, historical basal body temperature data of the user, physiological cycle information of the user or age information of the user;
the physiological condition data includes the number of days D the user was in during their physiological cycle on the day.
The method for obtaining the number D of days that the user stays in the physiological cycle on the current day comprises the following steps: the user physiological cycle information comprises the date of the last menstruation of the user; acquiring the current date and the date of the last menstruation of the user; the number of days between the two days is taken as the number of days D.
The invention can intelligently analyze and judge the physiological condition of the user based on the current day and historical physiological data of the user, deduces whether the current day of the user belongs to a menstrual period, a fertility-facilitating period or a safe period, further analyzes and processes according to the physiological cycle information of the user and the information of the physiological period, provides the fertility-facilitating index and the contraception index of the current day of the user, gives intuitive physiological state information embodiment to the user, and enables the user to clearly recognize the physiological information condition of the current day. Furthermore, the method can judge whether the current day of the user is in a low-temperature period, a high-temperature period or an ovulation period according to the current day of the user, historical physiological information of the user and physiological cycle information of the user, and analyzes and processes the physiological information and the physiological cycle information of the user in a corresponding period, so that the excellent pregnancy index of the current day of the user is provided, the excellent pregnancy index can enable the user to master the health condition of the ovary of the user in real time, and the intuitive accurate reference value of the user for the consideration of the healthy birth and the good care is provided.
The technical scheme of the invention has the following beneficial technical effects:
1. according to the method, the current day and historical basic body temperature information and the physiological cycle information of the user are analyzed, and the contraceptive index and the pregnancy index are introduced to be directly embodied as the analysis result, so that the user can directly and accurately obtain the current day pregnancy index and contraceptive index;
2. according to the method, analysis is carried out according to the current day of the user and historical basic body temperature information and physiological cycle information of the user, and the excellent pregnancy index is introduced as visual embodiment of an analysis result, the excellent pregnancy index is used for judging the ovarian condition of the user according to the basic body temperature on the basis of the easy pregnancy index, further the excellent pregnancy index of the current day is given according to the basic body temperature of the current day, a daily report of the current day is provided for analyzing the problem corresponding to the body temperature of the current day, and the user can master the health condition of the ovary of the user in real time;
3. as the fertility of the female is different at different ages, the relationship between the ages and the fertility is introduced, the corresponding fertility index is calculated according to different ages and is used as a generation reference of the excellent pregnancy index, the adaptability of the excellent pregnancy index is improved, the error of judging the excellent pregnancy caused by not considering the age factors is avoided, and the evaluation accuracy of the method is further improved.
Drawings
FIG. 1 is a flow chart of the present invention providing an assessment of pregnancy liability based on user information;
FIG. 2 is a flow chart for providing a contraceptive evaluation based on user information in accordance with the present invention;
FIG. 3 is a flow chart of the present invention providing for assessment of contraception during a safety period based on historical user data information;
FIG. 4 is a flow chart of the method for evaluating pregnancy during a pregnancy-prone period based on historical user data information provided by the present invention;
FIG. 5 is a flow chart of the present invention for performing a pregnancy optimization evaluation based on user information;
FIG. 6 is a flow chart of a fertility assessment based on user historical data information provided by the present invention;
FIG. 7 is a flow chart of the present invention for determining the high temperature phase, the low temperature phase, and the ovulation phase based on the user history information;
fig. 8 is a graph of age versus fertility index for a user according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
A method for evaluating contraception, easy pregnancy and excellent pregnancy based on user information comprises obtaining the date of the day; acquiring user physiological data; based on the processing of the physiological data of the user, acquiring the physiological condition data of the user on the same day; and judging and processing the physiological condition data through the physiological cycle information of the user to obtain a pregnancy reason index of the user on the same day, wherein the pregnancy reason index comprises one or more of a contraception index, a pregnancy easiness index and a pregnancy optimization index. The user physiological data includes: one or more of the current-day basal body temperature data of the user, historical basal body temperature data of the user, physiological cycle information of the user or age information of the user; the physiological condition data includes the number of days D the user was in during their physiological cycle on the day. The method for obtaining the number D of days that the user is in the physiological cycle comprises the following steps: the user physiological cycle information comprises the date of the last menstruation of the user; acquiring the current date and the date of the last menstruation of the user; the number of days between the two days is taken as the number of days D.
Referring to fig. 1 and fig. 2, taking the pregnancy facilitating index as an example, the day D of the day is obtained based on the date of the day and the physiological cycle information of the user, and whether the day D belongs to the menstrual period is determined;
if not, judging whether the current day of the user is in the fertility stage according to the physiological cycle information of the user, and if so, processing according to the basal body temperature data of the current day of the user and the number D of days to obtain a fertility index of the fertility stage and/or a fertility index of the fertility stage;
if yes, obtaining a pregnancy-prone index in the menstrual period;
outputting the obtained index.
Further, please refer to fig. 3 and fig. 4, determine whether the day D belongs to the menstrual period, if not, determine whether the day D belongs to the easy pregnancy period or the safe period according to the last complete physiological cycle information of the user, and if the day D belongs to the easy pregnancy period, process the day D in the physiological cycle according to the basal body temperature data of the user on the same day and obtain the easy pregnancy index of the easy pregnancy period; and if the current date belongs to the safe period, processing according to the basal body temperature data of the current day of the user and the number of days D of the current day in the physiological cycle to obtain a safe period contraception index.
For example: user a's method of obtaining an easy pregnancy index on day 2, month 4: acquiring the current date of 2, 4 and judging whether the historical data has a date record of the previous menstruation and the tide date of the previous menstruation of the user, if not, acquiring the historical physiological cycle information of the user according to the date of the previous menstruation and the date of the previous menstruation provided by the user, and if at least one complete data record of the historical cycle exists, calculating the day D of the current date to be the 13 th day and judging the 13 th day not to be in the menstrual period if the number of the previous complete cycle is 29 days and the date of the previous menstruation is 1, 22 days; and deducing that the approximate ovulation day of the user A is 2 months and 6 days based on the physiological cycle information of the user, judging that the current day belongs to the fertility-facilitating period, further obtaining the fertility-facilitating index in the fertility-facilitating period according to the current day or historical basal body temperature data of the user A and the physiological cycle information of the user, and obtaining the fertility-facilitating index in other periods if the current day or the historical basal body temperature data of the user A is not in the fertility-facilitating period. Further, referring to fig. 2, if the current day of the user a belongs to the fertility-facilitating period, the contraceptive index in the fertility-facilitating period is obtained according to the current day of the user a or the historical basal body temperature data and the physiological cycle information of the user, and if the current day of the user a does not belong to the fertility-facilitating period (the safety period), the contraceptive index in the other period (the safety period) is obtained.
Preferably, the pregnancy facilitating index and the contraception index are obtained by the following steps:
and obtaining ovulation days, menstrual period days and menstrual period days of the user according to the physiological cycle information of the user, and calculating according to the days, the menstrual period days and the menstrual period days through a piecewise function to obtain an easy pregnancy index and a contraception index. If the user uses the egg yolk powder for the first time, recording the ovulation day of the user as 14; if the complete history period exists, deducing by using the history period; for example: the user B uses the invention in 2018, 3 and 24 days, sets the menstruation coming and coming date of the cycle as 2018, 3 and 18 days in 3 and 18 months, the number of the menstrual cycle days is 28, the number of the menstrual period days is 3, the number of the days is 7, if the user uses the device for the first time, the number of the ovulation days of the user is 14, the device is substituted into a corresponding piecewise function for calculation, the pregnancy facilitating index is 5, and the contraception index is 66 (taking integers).
In another embodiment of the present invention, referring to fig. 5, the method for obtaining the pregnancy superior index includes: and judging the low-temperature period, the high-temperature period or the ovulation period of the user on the day based on the basal body temperature data of the user on the day, the number of days D of the user in the physiological cycle on the day and the physiological cycle information of the user, and processing according to the corresponding period obtained by judgment to obtain and output a pregnancy index.
Preferably, referring to fig. 6, based on the basal body temperature data of the user on the day and the number of days D of the user in the physiological cycle on the day, the ovulation day information inferred from the physiological data based on the user history and the historical physiological cycle information of the user are used to judge the low-temperature period, the high-temperature period or the ovulation period of the user on the day, and the ovulation index is obtained and output according to the corresponding period.
Referring to fig. 7, the method for determining the low temperature period, the high temperature period or the ovulation period includes:
acquiring the days D, the user physiological cycle information, the current-Day basic body temperature data of the user and the historical basic body temperature data of the user, wherein the historical basic body temperature data of the user comprises yesterday basic body temperature data of the user and three-Day-ahead basic body temperature data of the user, and the user physiological cycle information comprises days Day of ovulation Day in a historical period of the user;
determining whether the number of days D is less than or equal to Day-2,
if the days D are less than or equal to Day-2, continuously judging whether the days D are more than or equal to Day-5, if so, judging whether the current Day of the user is in a low temperature period, if not, judging whether the current Day of the user is in a ovulation period or not, and if so, judging whether the current Day of the user is in a low temperature period or not, and if so, judging whether the current Day of the user is in an ovulation period or not; if the temperature is lower than 36.5 ℃, KNN judgment is carried out;
if the days D are greater than Day-2, continuously judging whether the days D are less than or equal to Day +5, and if the days D are greater than Day +5, keeping the user in a high-temperature period on the current Day; if the number of days D is less than or equal to Day +5, continuously judging whether the basal body temperature data of the user three days ago is greater than or equal to 36.5 ℃, and if the basal body temperature data of the user three days ago is less than 36.5 ℃, keeping the user in a high-temperature period on the current Day; if yes, continuing to judge whether the body temperature data of the yesterday is greater than or equal to 36.5 ℃, if the body temperature data of the yesterday is greater than or equal to 36.5 ℃, then enabling the user to be in an ovulation period on the day, and if the body temperature data of the yesterday is less than 36.5 ℃, carrying out KNN judgment.
In FIG. 7, D represents the number of days in the physiological cycle of the Day, yesterday Temp represents the body temperature measured on Day D-1, lastThreeTemp represents the body temperature measured on Day D-3, and Day represents the number of days on the Day of ovulation in the historical cycle.
The KNN judgment method is to classify by measuring the distance between different characteristic values. The method comprises the following steps: if a sample belongs to a certain class in the majority of the k most similar samples in feature space (i.e. the nearest neighbors in feature space), then the sample also belongs to this class. K is typically an integer no greater than 20. In the KNN algorithm, the selected neighbors are all objects that have been correctly classified. The method only determines the category of the sample to be classified according to the category of the nearest sample or a plurality of samples in the classification decision. The classification of the invention is based on putting the temperature data of the day into the temperature curve of the upper cycle, voting the stage of the related sample, namely the high-temperature stage, the low-temperature stage or the ovulation stage, by taking the three points nearest to the temperature data.
In another embodiment of the invention, when the ovulation period in the current day of the user is judged, the fertility index obtained by processing according to the age of the user and the fertility model is processed to obtain the fertility index of the ovulation period based on the fertility index.
The optimal birth age of women is 25-29 years, and the birth at the optimal birth age not only accords with the physiological characteristics of a human body, but also is beneficial to the healthy development of fetuses. Therefore, the present invention provides a mathematical relationship between age and fertility, and the corresponding curve is shown in fig. 8, wherein the fertility index does not change much with age and is basically at a higher level when the female is 20-30 years old; when women are 30-40 years old, the fertility index is greatly reduced along with the increase of the age; when women are older than 40 years, the fertility index is essentially at a relatively low level. The fertility model analyzes the functional relation between the age and the fertility according to the statistical materials, and calculates the age of the user according to the birthday information input by the user, so as to calculate the current fertility index of the user. The invention introduces the relationship between age and fertility, calculates corresponding fertility indexes according to different ages and improves the adaptability of the model.
Preferably, the treatment is carried out based on the number of days D of the user in the physiological cycle of the user on the day and the period of the user in the low-temperature period, the high-temperature period or the ovulation period, so as to obtain the pregnancy-prone time index T; the pregnancy facilitating time index T is multiplied by the fertility index P, namely: the prime pregnancy index is T P100.
For example: the invention is used for C on the day of 3 and 27 months in 2018, the current menstruation date of C is 20 and 3 months in 2018, the number of days D of the current day in a physiological cycle is 8, the daily basal body temperature T is 36.2 ℃, the easy pregnancy time index T is 0.44 obtained by calculation through a corresponding Gaussian function, the current age of the user C is 33 years, the current fertility index P of the user C is 0.89 according to a fertility model, and the excellent pregnancy index T of the end user C is 0.44, 0.89, 100, 39 (an integer)
In conclusion, the method analyzes the basic body temperature information and the physiological cycle information of the user according to the current day and the history of the user, introduces the contraception index and the pregnancy index as the visual embodiment of the analysis result, enables the user to intuitively and accurately obtain the pregnancy index, the contraception index and the pregnancy index of the current day, provides a daily report of the current day for analyzing the problems corresponding to the body temperature of the current day, and enables the user to master the health condition of the ovary of the user in real time; as the fertility of the female is different at different ages, the relationship between the ages and the fertility is introduced, the corresponding fertility index is calculated according to different ages and is used as a generation reference of the excellent pregnancy index, the adaptability of the excellent pregnancy index is improved, the error of judging the excellent pregnancy caused by not considering the age factors is avoided, and the evaluation accuracy of the method is further improved.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (6)
1. A method for evaluating contraception, ease of pregnancy, and best pregnancy based on user information, comprising:
acquiring the current date;
acquiring user physiological data;
obtaining physiological condition data of the user on the current day based on the processing of the physiological data of the user, wherein the physiological data of the user comprises: one or more of the current-day basal body temperature data of the user, historical basal body temperature data of the user, physiological cycle information of the user or age information of the user; the physiological condition data comprises the number of days D that the user is on the same day in the physiological cycle;
judging and processing through the user physiological cycle information based on the physiological condition data to obtain a pregnancy reason index of the user on the same day, wherein the pregnancy reason index comprises one or more of a contraception index, a pregnancy easiness index and a pregnancy optimization index; judging the low-temperature period, the high-temperature period or the ovulation period of the user on the basis of the basal body temperature data of the user on the day, the number of days D of the user in the physiological period on the day and the physiological period information of the user, and processing according to the corresponding period obtained by judgment to obtain and output a pregnancy index; acquiring the number D of days, the physiological cycle information of the user, the basal body temperature data of the user on the same day and the historical basal body temperature data of the user, wherein the historical basal body temperature data of the user comprises: the method comprises the steps that basic body temperature data of a user yesterday and basic body temperature data of the user three days ago, and user physiological cycle information comprises days Day of ovulation Day in a user history cycle;
determining whether the number of days D is less than or equal to Day-2,
if the days D are less than or equal to Day-2, continuously judging whether the days D are more than or equal to Day-5, if so, judging whether the current Day of the user is in a low temperature period, if not, judging whether the current Day of the user is in a ovulation period or not, and if so, judging whether the current Day of the user is in a low temperature period or not, and if so, judging whether the current Day of the user is in an ovulation period or not;
if the days D are greater than Day-2, continuously judging whether the days D are less than or equal to Day +5, and if the days D are greater than Day +5, keeping the user in a high-temperature period on the current Day; if the number of days D is less than or equal to Day +5, continuously judging whether the basal body temperature data of the user three days ago is greater than or equal to 36.5 ℃, if so, keeping the user in a high-temperature period on the current Day; if not, continuously judging whether the yesterday basic body temperature data is greater than or equal to 36.5 ℃, and if so, determining that the user is in an ovulation period on the day.
2. The method of claim 1, wherein,
the user physiological cycle information comprises the date of the last menstruation of the user;
the method for obtaining the number D of days that the user stays in the physiological cycle on the current day comprises the following steps: and acquiring the current day date and the date of the last menstruation of the user, and taking the number of days between the current day date and the date of the last menstruation as the days D.
3. The method of claim 1, wherein the step of obtaining the pregnancy physiological index of the user on the current day by performing a judgment process based on the physiological condition data and the physiological cycle information of the user comprises:
judging whether the days D are in the menstrual period or not,
if the current day is not in the menstrual period, judging whether the current day of the user is in the fertility stage according to the physiological cycle information of the user, if so, processing according to the basal body temperature data of the current day of the user and the number D of the current day of the user to obtain a fertility index of the fertility stage and/or a contraception index of the fertility stage;
if the pregnant woman is in the menstrual period, the pregnancy facilitating index of the menstrual period is obtained.
4. The method of claim 3, wherein said fertility index during the fertile phase, and said contraceptive index during the fertile phase are obtained by a method comprising:
and obtaining ovulation days, menstrual period days and menstrual period days of the user according to the physiological cycle information of the user, and calculating according to the days, the menstrual period days and the menstrual period days through a piecewise function to obtain an easy pregnancy index and a contraception index.
5. The method of claim 4, wherein obtaining the fertility index comprises: and when the current day of the user is judged to be after the ovulation period, processing according to the age of the user and the fertility model to obtain the fertility index, and processing based on the fertility index to obtain the pregnancy-optimizing index of the ovulation period.
6. The method of claim 5, wherein the fertility index obtained by the age and fertility model of the user is processed to obtain the fertility index of the ovulatory period, the method comprising:
processing the data according to the number D of the days of the user in the physiological cycle of the user on the current day and the period of the user in the low-temperature period, the high-temperature period or the ovulation period to obtain the pregnancy time index;
and multiplying the easy pregnancy time index and the fertility index to obtain the excellent pregnancy index.
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