CN105249937B - A kind of women natural contraception time monitoring method and device - Google Patents

A kind of women natural contraception time monitoring method and device Download PDF

Info

Publication number
CN105249937B
CN105249937B CN201510757079.7A CN201510757079A CN105249937B CN 105249937 B CN105249937 B CN 105249937B CN 201510757079 A CN201510757079 A CN 201510757079A CN 105249937 B CN105249937 B CN 105249937B
Authority
CN
China
Prior art keywords
temperature
sequence
body temperature
period
variation characteristic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510757079.7A
Other languages
Chinese (zh)
Other versions
CN105249937A (en
Inventor
康宏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd
Original Assignee
SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd filed Critical SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd
Priority to CN201510757079.7A priority Critical patent/CN105249937B/en
Publication of CN105249937A publication Critical patent/CN105249937A/en
Application granted granted Critical
Publication of CN105249937B publication Critical patent/CN105249937B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention proposes a kind of women natural contraception time monitoring methods, comprising: S100: acquisition body temperature temperature determines two variation characteristic of one variation characteristic of body temperature temperature control and body temperature temperature control based on the temperature of acquisition;S200: according to one variation characteristic of body temperature temperature control, the onset of ovulation is determined;S300: according to two variation characteristic of body temperature temperature control, the menstrual period is determined;S400: except the menstrual period and the onset of ovulation, it is determined as the natural contraception time, user is reminded to be suitble to sexual life.The present invention is based on the relationships of determining female physiological periodicity state and body temperature, it is acquired by continuous user temperature, and correlation further is carried out with fiducial temperature sequence and is determined, to obtain one variation characteristic of user's body temperature temperature control and the second variation characteristic, finally the natural contraception time is determined, finally realizes efficient natural contraception time monitoring.

Description

A kind of women natural contraception time monitoring method and device
Technical field
The present invention relates to field of intelligent monitoring more particularly to a kind of women natural contraception time monitoring method and device thereof.
Background technique
Women has 30 years to need to practise contraception in life, and contraception is that applied science means make women not become pregnant temporarily, Women will be tangled with all kinds of contraceptive devices, to find oneself most suitable contraceptive method.
Expert points out that common contraception has: using contraceptive, Contraceptive, sheath, natural family planning etc..1, it takes orally Contraceptive is by inhibiting ovulation to reach contraceptive effect, and long-time service will not influence female fertility, can examine after drug withdrawal Consider pregnancy.2, Contraceptive, using simplicity, contraceptive rate is higher, and one needle of injection can practise contraception 3 months.3, sheath, this is male The contraceptive device that people takes, this way are conveniently, safely and the most commonly used due to it.4, natural family planning, using safety The key of phase contraception is the device for testing ovulation date for measuring women, and menstruation and ovulation are in cyclically-varying, there is close pass between the two System grasps the changing rule of the two, so that it may measure device for testing ovulation date and menstrual period by round-about way, carry out periodically Sexual repression, to practise contraception.
Though above-mentioned contraceptive device mode is more, there are its disadvantage, especially first three methods mostly, due to needing by outside Drug uses sheath in physical feeling, and have the shortcomings that certain: oral contraceptive needs to take everyday, more troublesome, this Outside, there is side effect after taking in some women, such as menstrual period amount cuts down, gets fat;Contraceptive, women in use, Breast examination should be periodically done, lump such as occur must be discontinued immediately, in addition, part user is likely to occur paramenia, show as Hyper-menorrhea, menostaxis or colporrhagia;Sheath, usage is improper to cause sheath during making love to rupture, and causes to keep away Pregnant failure, and sheath main component rubber and lubricating oil above are used for a long time in evil case, meanwhile, this contraceptive device The bridegroom's or husband's side is needed to cooperate, but many men are psychologically uncomfortable.
Natural family planning does not need ancillary drug or tool, does not implement yet since it belongs to complete natural contraceptive device Medical procedure, there is no side effects to damage body, becomes current research hotspot, mainly by ovulation tester And physiological period is determined safe period.As a kind of emerging research object, there is also understand very much deficiency at present: 1, effective percentage is high not as good as other way;2, user needs the stage by appropriate training and oneself experience accumulation, to determine female Property safe period and critical days;3, for the women of irregular menses, it will increase the difficulty using the contraception.
Summary of the invention
In consideration of it, the invention proposes one kind to have high efficient natural contraception time monitoring method.
It is based primarily upon the Temperature changing rule progress natural contraception before and after female ovulation, and before preovulatory, progestational hormone is main By acth secretion, very little is measured, so temperature curve is in low-temperature condition, after ovulation, the place that ovum excludes becomes corpus luteum, corpus luteum A large amount of progestational hormone and estrogen are secreted, is prepared for fertilization egg implantation, then body temperature steeply rises 0.3-0.6 degree or so, is in Relatively-high temperature situation.The present invention is ovulatory cycle to be determined using this temperature change, and combine the menstrual cycle, to realize certainly So contraception time monitoring.
Technical solution of the present invention is as follows:
A kind of women natural contraception time monitoring method, includes the following steps:
S100: acquisition body temperature temperature determines one variation characteristic of body temperature temperature control and body temperature temperature based on the temperature of acquisition Second variation characteristic;
S200: according to one variation characteristic of body temperature temperature control, the onset of ovulation is determined;
S300: according to two variation characteristic of body temperature temperature control, the menstrual period is determined;
S400: except the menstrual period and the onset of ovulation, it is determined as the natural contraception time, user is reminded to be suitble to sexual life.
Wherein, preferably, step S100 is comprised the following specific steps that:
S110: to the continuous sampling of the basal body temperature of user at least one continuous sampling period, at least one is obtained Basal body temperature sample sequence;
S120: at least for one of basal body temperature sample sequence, the sequence and at least one fiducial temperature sequence are determined Correlation between column;
S130: it is at least based on the correlation, determines the first variation characteristic and the second variation characteristic.
The present invention is based on the relationships of determining female physiological periodicity state and body temperature, are acquired by continuous user temperature, go forward side by side one Step carries out correlation with fiducial temperature sequence and determines, to obtain one variation characteristic of user's body temperature temperature control and the second variation spy Sign, is finally monitored the natural contraception time.That is, by body temperature temperature acquisition, using in statistical analysis technique Correlation technique finally realizes efficient natural contraception time monitoring by corresponding device and method.
Detailed description of the invention
By reading detailed description of non-limiting embodiments referring to the drawings, other feature of the invention, Objects and advantages will become more apparent upon.
Fig. 1 to 6 is the basal body temperature schematic diagram in multiple embodiments according to the present invention under different situations;
Fig. 7 is according to natural contraception time monitoring method flow diagram in one embodiment of the present of invention;
Fig. 8 is the structural schematic diagram according to the natural contraception time monitoring system of one embodiment of the present of invention;
Fig. 9 is the device that temperature signal collection is used for according to the auxiliary of one embodiment of the present of invention, wherein diagram 900 is Temperature sensor, 901 be measurement arm, and 902 be center hole;
Wherein, the same or similar appended drawing reference indicates the same or similar steps characteristic or system (module).
Specific embodiment
In one embodiment, the invention discloses a kind of women natural contraception time monitoring method, include the following steps:
S100: acquisition body temperature temperature determines one variation characteristic of body temperature temperature control and body temperature temperature based on the temperature of acquisition Second variation characteristic;
S200: according to one variation characteristic of body temperature temperature control, the onset of ovulation is determined;
S300: according to two variation characteristic of body temperature temperature control, the menstrual period is determined;
S400: except the menstrual period and the onset of ovulation, it is determined as the natural contraception time, user is reminded to be suitble to sexual life.
Wherein, preferably, step S100 is comprised the following specific steps that:
S110: to the continuous sampling of the basal body temperature of user at least one continuous sampling period, at least one is obtained A basal body temperature sample sequence;
S120: at least for one of basal body temperature sample sequence, the sequence and at least one fiducial temperature sequence are determined Correlation between column;
S130: it is at least based on the correlation, determines the first variation characteristic and the second variation characteristic.
For above-described embodiment, continuous sampling measurement is carried out to the temperature of user, and further with fiducial temperature sequence It carries out correlation to determine, to carry out natural contraception time monitoring.It can be realized by APP, can be installed on mobile phone, plate Computer, smartwatch energy intelligent terminal can also be installed on other intelligent wearable devices, Intelligent garment.With mobile phone, put down For plate computer, smartwatch, itself interface, such as USB interface, the bluetooth of earphone interface, various specifications can be passed through Equal the corresponding temperature measuring device of connections (or temperature measurement probe) carries out continuous sampling measurement so as to the temperature to user.
Obviously, which uses the means of monitoring and correlation statistics.By the embodiment, thus with existing skill It is distinguished in art by the technical solution of ovulation detector and physiological law experience, is conducive to more efficient carry out women and keeps away naturally Pregnant time monitoring.
In a specific embodiment, at least one continuous sampling period in the step S110 is in the following way It determines:
Daily schedule based on user selects its deep sleep period as the continuous sampling period.
For the embodiment, which defines a kind of preferable sampling periods, with Fundamentals of Measurement body temperature accurate as far as possible.
User, i.e., targeted women of the invention, a continuous time body temperature information more compared to single-point body temperature It can reflect the Temperature changing rhythm and pace of moving things (rhythm) and the state of its behind comprehensively.Moreover, the deep sleep mistake at research user's night Cheng Zhong is the ideal period of an acquisition basal body temperature information.
Therefore, the present embodiment is for temperature acquisition of research user during night deep sleep, and according to being adopted The basal body temperature sequence of collection, to be monitored.
Continuous sampling is carried out to the basal body temperature of user within a period of time that daily certain depth is slept by user, is obtained Obtain sample temperature sequence.
Herein, it is determined according to daily work and rest rule, chooses the period that user enters deep sleep, such as 1:00 AM-icepro 4 points of morning, guarantee measures accurate basal temperature.Due to use continuous temperature sampling obtain temperature sequence, by with benchmark temperature Degree series compare acquisition correlation, more can accurate response physiological status.
Further include following steps before the step S110 in another more specific embodiment:
S101: within phase of history period in the above-mentioned continuous sampling period of every day, the basal body temperature of user is carried out Continuous sampling obtains a historical basis body temperature sample sequence;
S102: being based on the historical basis body temperature sample sequence, models the basal body temperature of user to obtain basal body temperature Benchmark model, and predict the menstrual cycle, the predicting ovulation phase, prediction the menstrual period, in which: the phase of history period is more than or equal to 40 days.
For the embodiment, in which: two fiducial temperature sequences can by the long period (such as 40 days or longer, at this time Between can be adjusted flexibly according to the requirement of specific user) statistical analysis obtain, specifically, obtain benchmark model, temperature raised point pair What is answered is benchmark ovulation day, and a temperature change period is equal to the benchmark menstrual cycle of user, this period is used as of the invention Predict the menstrual cycle, several days trough periods determination in (usual 7-8 days) after temperature reduction point is benchmark menstrual period.In addition, into one Step, the onset of ovulation, menstrual period can be predicted according to the benchmark model.
In another embodiment, the basal body temperature in the step S110 further include: the one of the standby pregnant women The basal body temperature of side breast.
For the embodiment, the coverage area of basal body temperature is specifically defined, be equivalent to and give another base body Warm acquisition source.Assuming that the first acquisition source of basal body temperature is oxter, then another basal body temperature that the present embodiment provides obtains Source is then side breast.More preferably, the present invention can be come by the combined type to oxter, breast basal body temperature, continuous sampling To multiple basal body temperature sample sequences, to be conducive to determine that the first variation characteristic and the second variation are special by aforementioned correlation Sign, to realize women natural contraception time monitoring.
In another embodiment, the correlation in the step S120 is determined as follows:
It is determined between the basal body temperature sample sequence and at least one described fiducial temperature sequence respectively in indicator index On difference, with the determination correlation, in which:
The indicator index includes one or a combination set of following: the average value of sequential element, temperature low spot, temperature low spot Moment, the generating period of temperature low spot, temperature high point, the generation moment of temperature high point, the generating period of temperature high point occurs.
With reference to Fig. 1, wherein Fig. 1 does not mark specific sampling instant, which day abscissa only denotes.With normal menstruation 28 days periods, for 36.6 DEG C of normal body temperature, in Fig. 1 in abscissa the 14th day i.e. this field temperature low spot to temperature high point transition Date, it was last 1 day of temperature high point in the secondary menstrual cycle until the 28th day which, which is considered as ovulation day, and the 29th Day is then again at temperature low spot, and menstruation starts.Fig. 1 is typical, an eumenorrhea, normal, high/low temperature two-phase of ovulating The basal body temperature figure of variation.During this, the date of temperature low spot relates to 1-14 days, and 29-34 days, so that it is low to obtain temperature Point, the generating period of temperature low spot, temperature high point, temperature high point generating period.
Obviously, for the embodiment, specifically from the angle of statistical analysis, a kind of determination side of correlation is elaborated Formula gives a kind of embodiment.Particularly, indicator index therein can be one of above-mentioned or a combination thereof, combine nature It is more advantageous to the specific statistical analysis of correlation.
In another embodiment, the fiducial temperature sequence in the step S120 is determined as follows:
Normal relative low temperature state of temperature and normal relatively-high temperature temperature are according in the menstrual period, relative to normal body temperature The historical basis body temperature sample temperature value of state obtains following two fiducial temperature sequences: baseline high temperature sequence and benchmark low temperature Sequence.
In one embodiment, further include following steps before step S110 after the step S102:
S103: the benchmark model based on basal body temperature judges the luteal situation of user, to judge whether its situation of ovulating is different Often.
For the embodiment, it is based on benchmark model, according to the day with high temperature of acquisition, cold day length, and heating degree, base The state of corpus luteum can be judged in above-mentioned data, user's physiological status is checked.If abnormal, it can be used for the later period Remind user.
Referring to figs. 2 and 3, still for normal menstrual cycle 28 days, 36.6 DEG C of normal body temperature, wherein figure 2 show Bad due to luteal function declines slow schematic diagram so as to cause basal body temperature, and Fig. 3 shows the concentration due to lutern The schematic diagram not enough slowly risen so as to cause onset of ovulation body temperature.For this 2 kinds of abnormal conditions, the present invention can be by corresponding Benchmark model is judged.
Even, further, the present invention can also be based further on the benchmark model of basal body temperature, and judgement has been cherished It pregnant, doubtful early abortion and does not ovulate, and this is issued and is reminded, referring to fig. 4,5,6.Wherein: general next for Fig. 4 Say, high temperature be continued above 16 days be exactly the sign being pregnant;For Fig. 5, after high temperature amounts to 20 days from the 15th day to the 34th day Cooling, this is generally considered to be the sign of early abortion;For Fig. 6, basal body temperature is always at 36.6 DEG C hereinafter, be low temperature always State does not form high/low temperature diphasic change, this is generally not considered ovulating.
That is, in some embodiments of the invention, if the degree of correlation between temperature sequence is low, such as the degree of correlation Lower than 0.8, then can determine whether to further look at and adopt in corresponding sampling periods, temperature sampling value belongs to abnormality Sample;Belong to significant sampling if the degree of correlation is higher than 0.8, further determines that best Time to pregnancy or other are related with benchmark model Analysis, judgement, for example whether may be: luteal function is bad, lutern concentration not enough, be pregnant, doubtful early abortion, And it does not ovulate.
In another more specific embodiment, the step S130 specifically comprises the following steps:
Based on benchmark menstrual cycle, predicting ovulation phase, the prediction menstrual period in S102, correlation is carried out to following temperature value Statistics and compare, to determine the first variation characteristic and the second variation characteristic: each sample temperature value in sample sequence in S110, with And the time corresponding to the sampling time in described two fiducial temperature sequences, with each sample temperature value in sample sequence in S110 Reference temperature value.When the high temperature correlation of acquisition is greater than low temperatures involving for the first time, determine that the first variation characteristic is positive, second becomes Change feature to be negative;When acquisition it is low temperatures involving for the first time be greater than high temperature correlation when, setting the first variation characteristic be negative, second become Change feature to be positive.To determine from the day in two days to be the onset of ovulation, when the second variation characteristic when the first variation characteristic is timing For timing, determine in 7 days dates as the menstrual period.To exclude the onset of ovulation and menstrual period, it is determined as the natural contraception time, prompts User can carry out sexual life.
That is, which show particularly relevant property to count targeted data source for the embodiment, to give A kind of more specific embodiment is gone out.
In another embodiment, the sampling period is [0.1s, 300s].It will be apparent that the embodiment is to limit Determine the sampling period of continuous sampling.
More specifically, in another embodiment, Fig. 7 is the stream of the women natural contraception time monitoring method of the embodiment Cheng Tu.
Sample temperature sequence and two fiducial temperature sequences are compared respectively respectively, obtained corresponding low temperatures involving With high temperature correlation.Wherein, two fiducial temperature sequences are benchmark low temperature sequence and baseline high temperature sequence respectively, are acquired from user Normal relative low temperature state of temperature and normal relatively-high temperature state of temperature in phase menstrual cycle.
Based on high temperature correlation obtained and low temperatures involving, discriminating user not same date physiological status, and really Determine the natural contraception time.
Two fiducial temperature sequences can be statisticallyd analyze by long period (such as 40 days) to be obtained, specifically, can be to longer Continuous sampling is carried out to the basal body temperature of standby pregnant women in daily specific a period of time same as above in time, it is daily to obtain One sample temperature sequence sums and is averaged to the temperature value in the sample temperature sequence obtained daily, flat according to above-mentioned 40 Equal temperature value, using the date as abscissa, temperature draws curve as ordinate, obtains benchmark model, and temperature raised point is corresponding Be benchmark ovulation day, temperature reduces that point is corresponding to start day for benchmark menstruation, and a temperature change period is equal to standby pregnant The benchmark menstrual cycle of women can predict the onset of ovulation (to judge in each benchmark menstrual cycle according to the benchmark model Corresponding benchmark ovulation day is predicting ovulation day, and front and back three days is the predicting ovulation phase), while the menstrual period is predicted (to sentence What corresponding benchmark menstruation in each benchmark menstrual cycle of breaking started day is a few days ago the predicting ovulation phase to seven days later).Together When, relative low temperature state days multiple before ovulation day in a cycle corresponding multiple sample temperature sequences are averaged, are obtained Benchmark low temperature sequence is obtained, by relatively-high temperature state days multiple after ovulation day in a cycle corresponding multiple sample temperature sequences It is averaged, obtains baseline high temperature sequence.
Acquisition for correlation can calculate separately sample temperature sequence { S1, S2, S3..., SnAnd fiducial temperature sequence Between gap in special sign index.For example, sample temperature sequence { S1, S2, S3..., SnThe line and benchmark that are fitted Difference between the fit line of the sliding average of temperature sequence.
Equally, sample temperature sequence { S can also be calculated separately1, S2, S3..., SnAnd fiducial temperature sequence between in sequence The average value of element, temperature low spot, temperature low spot occur the moment, temperature low spot the indicator index such as generating period difference, So that it is determined that consistency or correlation between each sequence, to finally determine that the first temperature change feature and second temperature become Change feature.
In daily monitoring, when the high temperature correlation of acquisition is greater than low temperatures involving for the first time, the first variation characteristic is determined It is positive, the second variation characteristic is negative;When acquisition it is low temperatures involving for the first time be greater than high temperature correlation when, be arranged the first variation characteristic It is negative, the second variation characteristic is positive.To when the first variation characteristic is timing, determine from the day in two days to be the onset of ovulation, when the Two variation characteristics are timing, are determined in 7 days dates as the menstrual period.To exclude the onset of ovulation and menstrual period, it is determined as nature and keeps away The pregnant time prompts user that can carry out sexual life.
With corresponding to the various embodiments described above, as shown in figure 8, also in one embodiment there is disclosed a kind of women by the present invention Natural contraception time monitoring system, comprising:
Sampling module, for carrying out continuous sampling to the basal body temperature of user at least one continuous sampling period, Obtain at least one basal body temperature sample sequence;
Correlation determining module, at least for one of basal body temperature sample sequence, determine the sequence at least Correlation between one fiducial temperature sequence;
Natural contraception time determining module, for being based on the correlation, the first variation characteristic of temperature and temperature control Two variation characteristics, so that it is determined that the natural contraception time.
More preferably, at least one continuous sampling period in the sampling module is determined as follows:
Daily schedule based on user selects its deep sleep period as the continuous sampling period.
More preferably, it the system also includes benchmark modeling module, is used for:
Within phase of history period in the above-mentioned continuous sampling period of every day, the basal body temperature of user is continuously adopted Sample obtains a historical basis body temperature sample sequence;
And it is based on the historical basis body temperature sample sequence, the base of basal body temperature is obtained to the basal body temperature modeling of user Quasi-mode type, and predict menstrual period and predicting ovulation phase, in which: the phase of history period is more than or equal to 40 days.
More preferably, the basal body temperature in the sampling module further include: the base body of the side breast of the user Temperature.
More preferably, the correlation in the correlation determining module is determined as follows:
It is determined between the basal body temperature sample sequence and at least one described fiducial temperature sequence respectively in indicator index On difference, with the determination correlation, in which:
The indicator index includes one or a combination set of following: the average value of sequential element, temperature low spot, temperature low spot Moment, the generating period of temperature low spot, temperature high point, the generation moment of temperature high point, the generating period of temperature high point occurs.
More preferably, the fiducial temperature sequence in the correlation determining module is determined as follows:
Normal relative low temperature state of temperature and normal relatively-high temperature temperature are according in the menstrual cycle, relative to normal body temperature The historical basis body temperature sample temperature value of degree state, obtain following two fiducial temperature sequences: baseline high temperature sequence and benchmark are low Warm sequence.
More preferably, the also operable coupling of benchmark modeling module ovulation judgment module extremely, the abnormal ovulation are sentenced Disconnected module is used for:
Benchmark model based on basal body temperature judges the luteal situation of user, to judge whether its situation of ovulating is abnormal.
More preferably, the sampling module is corselet pattern, including two rabats of bilateral symmetry, and each rabat includes four surveys Arm is measured, is provided with multiple temperature sensors on each measurement arm.For the embodiment, there is disclosed a kind of specific sampling modules Design form.
More preferably, the system also includes memory modules, operable to be coupled in the temperature sensor.For the reality Example is applied, it means that system of the present invention, may include memory module, store relevant temperature information in the form of data.More Good, it can be wearable device in view of device of the present invention, then, memory module is optional highly integrated, low-power Memory module is to be conducive to overall weight, the power conservation requirement of device.More preferably, cloud storage platform can also be set, data are deposited Storage is in cloud platform, to facilitate acquisition data.
More preferably, two rabats of the system generally corselet pattern, front are equipped with sampling module, and the corselet at rear portion is equipped with Correlation determining module, natural contraception time determining module, benchmark modeling module, the shoulder belt of corselet are equipped with user's interaction mould Block, which show the design methods of each module.
More preferably, the system also includes communication modules, are used for: the electric signal of body temperature measured by temperature sensor is transmitted To outside.In view of the universal of smart phone, smartwatch and other intelligent terminals, preferentially use and be compatible with when being sent to outside USB interface or earphone interface or such intelligent terminal other data receiver interfaces.
More preferably, the position that the system measures arms handover at four is equipped with a centre bore, for standby pregnant women by nipple Insertion, so that system is substantially secured to standby pregnant female chest.For the embodiment, which show a kind of knots for fixing the system Structure design method.
More preferably, by ultra-thin, comfortable and flexible material as rabat material to measurement arm and temperature sensing Device is coated, and the measuring surface of reserved measurement contact confession temperature sensor attaches chest.That is, the embodiment discloses Covering material and attach design scheme.
In another embodiment, Fig. 9 is the device for temperature signal collection, is a kind of wearable device, including a left side Right symmetrical two components, each component include four measurement arms, are provided with multiple temperature on each measurement arm (illustrating 901) and pass Sensor (illustrates 900);Each sensor is also connected with lead-out wire to which the electric signal of temperature measured by it is sent to signal Acquisition and processing unit (not shown), in addition, as previously mentioned, the position that device measures arm handover at four is equipped in one (referring to the intersection of four measurement arms in Fig. 9, i.e. 902) nipple, is embedded in, so that device is basic by diagram for user in heart hole It is fixed on standby pregnant female chest.
User especially during deep sleep, wears the system, can collect the number of basal body temperature by daily According to.For the sample sequence of these temperature datas, these data can be handled in online or offline mode, thus according to user Body temperature, basal body temperature judgement obtain the natural contraception time.It can be to each sample temperature of each temperature sampling point sampling Sequence is judged respectively, and is statisticallyd analyze, and determines the natural contraception time according to the case where most sample temperature sequences.It can also be with By the phase of each temperature sampling point acquisition, temperature carries out sum-average arithmetic in the same time, finally obtains a representative sample temperature sequence Column, determine the natural contraception time according to the method for previous embodiment.
Those skilled in the art will be understood that so-called each system can both be realized by hardware module in the present invention, can also Can also be realized by the hardware module for being integrated with software function module by the Implement of Function Module in software.
Those skilled in the art will be understood that above-described embodiment is illustrative and not restrictive.In different embodiments The different technologies feature of middle appearance can be combined, to obtain beneficial effect.Those skilled in the art are in research attached drawing, explanation On the basis of book and claims, the embodiment of other variations of revealed embodiment is will be understood that and realized.In right In claim, term " comprising " is not precluded from other devices or steps;Indefinite article "one" be not excluded for it is multiple.In claim Any appended drawing reference be understood not to limiting of its scope.The function of the multiple portions occurred in claim can To be realized by an individual hardware or software module.Certain technical characteristics occur in different dependent claims not Mean these technical characteristics cannot be combined to obtain beneficial effect.

Claims (10)

1. a kind of women natural contraception time monitoring method, which comprises the steps of:
S100: acquisition body temperature temperature determines one variation characteristic of body temperature temperature control and body temperature temperature control two based on the temperature of acquisition Variation characteristic;
S200: according to one variation characteristic of body temperature temperature control, the onset of ovulation is determined;
S300: according to two variation characteristic of body temperature temperature control, the menstrual period is determined;
S400: except the menstrual period and the onset of ovulation, it is determined as the natural contraception time, user is reminded to be suitble to sexual life;
The step S100 is comprised the following specific steps that:
S110: to the continuous sampling of the basal body temperature of user at least one continuous time, at least one basal body temperature is obtained Sample sequence, the daily schedule based on user select its deep sleep period as the continuous sampling period;
S120: at least for one of basal body temperature sample sequence, determine the sequence and at least one fiducial temperature sequence it Between correlation;
S130: it is at least based on the correlation, determines first variation characteristic and second variation characteristic;
Wherein, further include following steps before the step S110:
S101: within phase of history period in the above-mentioned continuous sampling period of every day, the basal body temperature of user is carried out continuous Sampling obtains a historical basis body temperature sample sequence;
S102: being based on the historical basis body temperature sample sequence, and the base of basal body temperature is obtained to the basal body temperature modeling of user Quasi-mode type, and predict menstrual cycle, predicting ovulation phase, prediction menstrual period, in which: the phase of history period is more than or equal to 40 It.
2. the method according to claim 1, wherein in the step S130: based in the step S102 Benchmark menstrual cycle, predicting ovulation phase, prediction menstrual period carry out the statistics of correlation to following temperature value and compare, with determination First variation characteristic and second variation characteristic: each sample temperature value in sample sequence in the step S110, and Time corresponding to sampling time in the fiducial temperature sequence, with each sample temperature value in sample sequence in the step S110 Reference temperature value.
3. the method according to claim 1, wherein the correlation in the step S120 is true in the following way It is fixed:
It is determined between the basal body temperature sample sequence and at least one described fiducial temperature sequence respectively on indicator index Difference, with the determination correlation, in which:
The indicator index includes one or a combination set of following: the average value of sequential element, temperature low spot, the generation of temperature low spot Moment, the generating period of temperature low spot, temperature high point, the generation moment of temperature high point, the generating period of temperature high point.
4. the method according to claim 1, wherein fiducial temperature sequence in the step S120 pass through it is as follows Mode determines:
Normal relative low temperature state of temperature and normal relatively-high temperature state of temperature are according in the menstrual period, relative to normal body temperature Historical basis body temperature sample temperature value, obtain following two fiducial temperature sequences: baseline high temperature sequence and benchmark low temperature sequence.
5. according to the method described in claim 4, it is characterized in that, the step S130 specifically comprises the following steps:
Based on benchmark menstrual cycle, predicting ovulation phase, the prediction menstrual period in the step S102, phase is carried out to following temperature value The statistics of closing property and compare, to determine the first variation characteristic and the second variation characteristic: each in sample sequence in the step S110 In sample temperature value and the baseline high temperature sequence and benchmark low temperature sequence, in the step S110 in sample sequence it is each The reference temperature value of time corresponding to the sampling time of sample temperature value.
6. according to the method described in claim 5, it is characterized by:
Sample temperature sequence and benchmark low temperature sequence and baseline high temperature sequence are compared respectively respectively, obtain corresponding low temperature Correlation and high temperature correlation;
When the high temperature correlation of acquisition is greater than described low temperatures involving for the first time, determine that first variation characteristic is positive, Second variation characteristic is negative;
When acquisition it is described it is low temperatures involving be greater than the high temperature correlation for the first time when, first variation characteristic is set and is negative, Second variation characteristic is positive;
When first variation characteristic is timing, certain number of days is the onset of ovulation from determining the same day, when second variation characteristic is Timing, certain number of days is the menstrual period from determining the same day.
7. a kind of women natural contraception time monitoring system, comprising:
Sampling module, for carrying out continuous sampling to the basal body temperature of user, obtaining extremely at least one continuous sampling period A few basal body temperature sample sequence;Daily schedule based on user selects its deep sleep period as the continuous sampling period;
Correlation determining module, for determining the sequence and at least one at least for one of basal body temperature sample sequence Correlation between fiducial temperature sequence;
Natural contraception time determining module, for being based on the correlation, the first variation characteristic of temperature and temperature control two become Change feature, so that it is determined that the natural contraception time;
The system also includes benchmark modeling modules, are used for: the above-mentioned continuous sampling period of every day within phase of history period It is interior, continuous sampling is carried out to the basal body temperature of user, obtains a historical basis body temperature sample sequence;And it is based on the historical basis Body temperature sample sequence models to obtain the benchmark model of basal body temperature user base body temperature, and predicts menstrual period and the onset of ovulation, Wherein: the phase of history period is more than or equal to 40 days.
8. system according to claim 7, which is characterized in that the correlation in the correlation determining module passes through as follows Mode determines:
It is determined between the basal body temperature sample sequence and at least one described fiducial temperature sequence respectively on indicator index Difference, with the determination correlation, in which:
The indicator index includes one or a combination set of following: the average value of sequential element, temperature low spot, the generation of temperature low spot Moment, the generating period of temperature low spot, temperature high point, the generation moment of temperature high point, the generating period of temperature high point.
9. system according to claim 8, which is characterized in that the system also includes user interactive modules, are used for: according to User's input carries out parameter setting to sampling module, and can provide a user related test results.
10. system according to claim 9, it is characterised in that:
The system generally corselet pattern, two rabats of front are equipped with the sampling module, and the corselet at rear portion is equipped with the phase The shoulder belt of closing property determining module, the natural contraception time determining module, the benchmark modeling module, corselet is equipped with the use Family interactive module.
CN201510757079.7A 2015-11-09 2015-11-09 A kind of women natural contraception time monitoring method and device Active CN105249937B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510757079.7A CN105249937B (en) 2015-11-09 2015-11-09 A kind of women natural contraception time monitoring method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510757079.7A CN105249937B (en) 2015-11-09 2015-11-09 A kind of women natural contraception time monitoring method and device

Publications (2)

Publication Number Publication Date
CN105249937A CN105249937A (en) 2016-01-20
CN105249937B true CN105249937B (en) 2019-02-05

Family

ID=55090108

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510757079.7A Active CN105249937B (en) 2015-11-09 2015-11-09 A kind of women natural contraception time monitoring method and device

Country Status (1)

Country Link
CN (1) CN105249937B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105760701A (en) * 2016-03-22 2016-07-13 上海温尔信息科技有限公司 Method and device for capturing abnormal temperature metabolic heat of tumor cells
CN107252323B (en) * 2017-06-05 2020-06-26 厦门美柚股份有限公司 Method and device for predicting female physiological cycle and user equipment
CN107320135A (en) * 2017-06-30 2017-11-07 成都自然法科技有限公司 Natural family planning instruction device and method
CN113100718A (en) * 2021-03-04 2021-07-13 深圳正一电子电缆有限公司 Intelligent bracelet for epidemic prevention and control

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000185046A (en) * 1998-12-22 2000-07-04 Matsushita Electric Ind Co Ltd Woman's clinical thermometer
CN101199414B (en) * 2006-12-11 2010-12-22 深圳迈瑞生物医疗电子股份有限公司 Body temperature fast measuring equipment and method therefor
CN103356244B (en) * 2013-07-17 2015-09-16 派凡科技(上海)有限公司 The device and method of predicting ovulation and period of duration
CN104933311A (en) * 2015-06-24 2015-09-23 安徽味唯网络科技有限公司 Method and device for natural contraception or pregnancy preparation
CN104921711A (en) * 2015-07-13 2015-09-23 上海温尔信息科技有限公司 Female physiological cycle body temperature monitoring method

Also Published As

Publication number Publication date
CN105249937A (en) 2016-01-20

Similar Documents

Publication Publication Date Title
CN105249996B (en) A kind of best Time to pregnancy detection method and device
EP2061380B1 (en) Method of detecting and predicting ovulation and the period of fertility
US20190357891A1 (en) Data analysis system and method
CN105249937B (en) A kind of women natural contraception time monitoring method and device
CN103479337B (en) The basal body temperature of mobile terminal measures monitoring method and mobile terminal
US20140378863A1 (en) Temperature based fertility monitoring system and related method
WO2016102971A2 (en) Processing a Physical Signal
CN105877708A (en) Smart bra for measuring and analyzing female basal body temperature and control method thereof
CN111643122B (en) Ovary health monitoring intelligent clothes
CN107252324A (en) Natural family planning computational methods and device
CN102920443A (en) System for wirelessly monitoring and measuring temperatures for a long time
CN107320135A (en) Natural family planning instruction device and method
CN106236152B (en) Fertile period prediction method and system
CN210727721U (en) External noninvasive real-time detection and quantitative evaluation device for male sexual function
JP2020534973A (en) Devices and methods for monitoring the progress of a user's visual field deterioration
EP3968845A1 (en) System and method for precise determination of a date of childbirth with a wearable device
JP2005164405A (en) Device for measuring body temperature
CN107320134A (en) Natural family planning indicating means and system
GB2533614B (en) Processing a physical signal in the presence of noise
CN209733954U (en) Male sexual function evaluation instrument
CN115956886A (en) Female physiological health monitoring method
AU2021221702A1 (en) Method and device for increasing the chances of conceiving a baby of desired gender
WO2022035333A1 (en) Diagnostic device and method of measuring of physiological parameters
CN112842402A (en) Ovulation period prediction device based on body surface temperature difference data and control method thereof
CN114073550A (en) Basic body temperature monitoring female menstrual cycle analysis method and intelligent wearable equipment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant