CN105249996B - A kind of best Time to pregnancy detection method and device - Google Patents
A kind of best Time to pregnancy detection method and device Download PDFInfo
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- CN105249996B CN105249996B CN201510757303.2A CN201510757303A CN105249996B CN 105249996 B CN105249996 B CN 105249996B CN 201510757303 A CN201510757303 A CN 201510757303A CN 105249996 B CN105249996 B CN 105249996B
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Abstract
The invention proposes a kind of best Time to pregnancy detection methods, including, continuous sampling is carried out to the basal temperature of standby pregnant women；Determine correlation between at least one sequence and at least one consensus sequence in sample temperature value, and, it is based on above-mentioned correlation, determines best pregnancy day.Based on the comparison and statistics of corresponding temperature value in sample temperature value and at least one consensus sequence, best Time to pregnancy is obtained, and further combined with 24 hours continuous temperature acquisition process, obtains the detection of more comprehensive best Time to pregnancy.
Description
Technical field
The present invention relates to wearable smart machine field more particularly to a kind of methods and its dress of best Time to pregnancy detection
It sets.
Background technique
Ovulation (release of the egg cell from female ovary) is the important step of biology, is necessary to women becomes pregnant.
Before preovulatory, progestational hormone mainly by acth secretion, measures very little, so temperature curve is in low-temperature condition, after ovulation,
The place that ovum excludes becomes corpus luteum, and corpus luteum secretes a large amount of progestational hormone and estrogen, prepares for fertilization egg implantation, then body
Temperature steeply rises 0.3-0.6 degree or so, is in relatively-high temperature situation.The sharply raised detection of human body temperature is widely used in arranging
The mark of ovum detection.
In general female human, ovulation is present approximately in the 14th day of 28 day conventional menstrual cycle, still, only greatly
About 10% women is ovulated regular the 14th day 28 day period.Monocyclic cycle length and ovulation day between women that
This is different, for example, menstrual cycle of female it is longer have 35 days and it is shorter have 21 days, difference can be very big, and ovulate between women
Body temperature ascensional range is also different from each other afterwards.Detection and prediction to ovulation period need the difference based on individuation.It detects and pre-
Surveying ovulation period can be used for diagnosing ovulation illness and provides the information for possibility of becoming pregnant, when can be used for selecting optimal become pregnant
Between, improve pregnancy probability.
However, detection method in the prior art is usually the basal temperature for measuring the single time, it can be common that early morning wakes up
Measurement when any activity is not carried out after coming, continuous monitoring temperature can not be carried out, and excludes the body temperature of " base state " outside completely
Measurement, there is certain inaccurate risk in such measurement, and can only determine preferable pregnancy day, nothing according to this detection method
Method is accurate to hour or smaller time granularity and is supplied to using object.
Summary of the invention
In consideration of it, including the following steps: the invention discloses a kind of best Time to pregnancy detection method
S100: at least one continuous sampling period, continuous sampling is carried out to the basal body temperature of standby pregnant women, is obtained
At least one basal body temperature sample sequence；
S200: at least for one of basal body temperature sample sequence, the sequence and at least one fiducial temperature sequence are determined
Correlation between column；
S300: it is at least based on the correlation, determines best Time to pregnancy.
In addition, the present invention further discloses a kind of best Time to pregnancy detection device, comprising:
Sampling module, for being carried out to the basal body temperature of standby pregnant women continuous at least one continuous sampling period
Sampling, obtains 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；
Best Time to pregnancy determining module determines best Time to pregnancy for being based on the correlation.
The present invention is measured by continuous human body temperature, and is further carried out correlation with fiducial temperature sequence and determined, from
And best Time to pregnancy is detected.That is, the present invention is led to using the correlation technique means in statistical analysis technique
Corresponding device and method are crossed, the final reliably best Time to pregnancy that provides determines.
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 Time to pregnancy detection method flow chart best in one embodiment of the present of invention；
Fig. 8 is the flow chart according to the best Time to pregnancy detection method of another embodiment of the 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；
Figure 10 is the structural schematic diagram according to the temperature measuring device of one embodiment of the present of invention；
Wherein, the same or similar appended drawing reference indicates the same or similar steps characteristic or device (module).
Specific embodiment
In one embodiment, the invention discloses a kind of best Time to pregnancy detection method, include the following steps:
S100: at least one continuous sampling period, continuous sampling is carried out to the basal body temperature of standby pregnant women, is obtained
At least one basal body temperature sample sequence；
S200: at least for one of basal body temperature sample sequence, the sequence and at least one fiducial temperature sequence are determined
Correlation between column；
S300: it is at least based on the correlation, determines best Time to pregnancy.
For the embodiment, continuous sampling measurement is carried out by the temperature to standby pregnant women, and further with benchmark temperature
Degree series carry out correlation and determine, to detect to best Time to pregnancy.Obviously, which uses monitoring and correlation
The statistical means of property.By the embodiment, to determine Time to pregnancy with single point in time measurement in the prior art
Technical solution distinguishes, and is conducive to more accurately detect best Time to pregnancy.
In another embodiment, at least one continuous sampling period in the step S100 is true in the following way
It is fixed:
Based on the daily schedule of standby pregnant women, select its deep sleep period as the continuous sampling period.
For the embodiment, which defines a kind of preferable sampling time sections, with Fundamentals of Measurement body temperature accurate as far as possible.
Research object, i.e., targeted standby pregnant women of the invention, a continuous time body temperature information compared to single-point
Body temperature can more reflect the Temperature changing rhythm and pace of moving things (rhythm) and the state of its behind comprehensively.Moreover, the depth at research object night
It spends in sleep procedure, is the ideal period of an acquisition basal body temperature information.
Therefore, the present embodiment is directed to temperature acquisition of research object during night deep sleep, and according to being adopted
The basal body temperature sequence of collection, to determine best Time to pregnancy.
By carrying out continuous sampling to the basal body temperature of standby pregnant women within a period of time of certain depth sleep daily, obtain
Obtain sample temperature sequence.
Herein, it is determined according to the daily work and rest rule of standby pregnant women, chooses the period that standby pregnant women enters deep sleep, example
Such as 1:00 AM -4:00 AM, guarantee measures accurate basal temperature.Temperature sequence is obtained due to using continuous temperature sampling,
Single point temperature sampling has better reliability than in the prior art, by the acquisition correlation compared with fiducial temperature sequence, more
It can accurate response physiological status.
In another embodiment, further include following steps before the step S100:
S001: within phase of history period in the above-mentioned continuous sampling period of every day, to the base body of standby pregnant women
Temperature carries out continuous sampling, obtains a historical basis body temperature sample sequence；
S002: being based on the historical basis body temperature sample sequence, models the basal body temperature of standby pregnant women to obtain basis
The benchmark model of body temperature, and predict menstrual cycle and predicting ovulation day, 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 standby pregnant women) statistical analysis obtain, specifically, obtain benchmark model, temperature increase
Corresponding point is benchmark ovulation day, and a temperature change period is equal to the benchmark menstrual cycle of standby pregnant women, this period is used as
The prediction menstrual cycle of the invention.In addition, it is further, ovulation day can be predicted according to the benchmark model.
In another embodiment, in the step S300: with according to the correlation determine ovulation day be most preferably by
The pregnant time.
For the embodiment, ovulation day is determined by the correlation between temperature sequence, this ovulation day is statistics meaning
Ovulation day in justice, and in this, as best Time to pregnancy.Obviously, in this embodiment, the granularity of the Best Times is specific day
Phase.
In another embodiment, the basal body temperature in the step S100 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 best Time to pregnancy by aforementioned correlation.
In another embodiment, the correlation in the step S200 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.When mark specifically samples daily in Fig. 1
Carve, in fact, by specific sampling instant then can further the generation moment of corresponding temperature low spot, temperature high point generation when
It carves.
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 S200 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.
For the embodiment, benchmark low temperature sequence and baseline high temperature sequence are obtained.In view of the benchmark model of basal body temperature,
Utilize each time point basic temperature value and described two fiducial temperature sequences in the sample temperature sequence of above-mentioned continuous time period acquisition
Column are more advantageous to accurate determining moment point of most preferably becoming pregnant.At this point, the judgement of its Best Times even can be specific to corresponding
Moment.This accuracy greatly overcomes the drawbacks of prior art.
In another embodiment, further include following steps before step S100 after the step S002:
S003: the benchmark model based on basal body temperature judges the luteal situation of standby pregnant women, with judge its ovulate situation be
No exception.
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
It can judge the state of corpus luteum that physiological status checks to becoming pregnant in above-mentioned data, and can judge whether ovulation is different
Often.If abnormal, it can be used for later period prompting standby pregnant women.
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 embodiment, the step S300 specifically comprises the following steps:
S301: based on the predicting ovulation day in S002, the statistics of correlation is carried out to following temperature value and is compared, with determination
Best Time to pregnancy: in S100 in sample sequence in each sample temperature value and described two fiducial temperature sequences, in S100
The reference temperature value of time corresponding to the sampling time of each sample temperature value in sample sequence.
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, further include following steps after the step S300:
S401: round-the-clock 24 hours are selected as the continuous sampling period, different places is used for following 2 kinds of temperature values
Reason mode:
Original sampling data is used without processing for the temperature value of the basal body temperature of deep sleep period acquisition；
Denoising and smoothing processing are carried out for the temperature value of the basal body temperature of other times section acquisition；
S402: by the temperature value of the temperature value of treated other times section and the deep sleep period without processing
Form daily reference temperature sequence；
S403: based on reference temperature sequence daily in the standby pregnant women phase of history time, and relative to normal body temperature
Difference in normal relative low temperature state of temperature and normal relatively-high temperature state of temperature obtains following two reference data temperature
Sequence: reference data high temperature sequence and reference data low temperature sequence；
S404: for each sample temperature value, the reference data high temperature sequence medium temperature at corresponding moment in reference temperature sequence
Temperature value in angle value, the reference data low temperature sequence at corresponding moment, carries out statistical comparison, determines with reference to the best ovulation moment.
For the embodiment, it is significant to note that when benchmark model is established, in addition to the baseline high temperature sequence of " base state "
Column and benchmark low temperature sequence, are also acquired the reference data high temperature sequence and reference data of continuous sampling in 24 hours by identical method
Low temperature sequence is counted compared with two reference data temperature sequences by reference to temperature sequence, determines that reference is most preferably become pregnant the moment
Point.
That is, the best Time to pregnancy detection method in through the foregoing embodiment, can first be based on normal history
Temperature acquisition data establishes benchmark model, predicts ovulation day and menstrual cycle, fiducial temperature sequence is obtained, using to standby
The sequence of consecutive samples of the body temperature of pregnant women, and referring to the reference data temperature sequence, and then judge the temperature of standby pregnant women
Variation characteristic, determines the mode type of the body temperature of research object, and is accurately detected best Time to pregnancy.
In addition, the embodiment is with reference to round-the-clock continuous measurement of bldy temperature, in order to exclude the temperature measured under non-basic state
Angle value with environment and standby pregnant women state mood etc. influence, to the temperature value in the sample temperature of daily 24 hours continuous acquisitions
Processing is distinguished, the sample temperature value at deep sleep moment is used as former state, to the sample temperature value at non-deep sleep moment
It is handled, the time-temperature curve for forming it obtains denoising and smooth composition reference temperature sequence.
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.It is readily appreciated that, this period is obviously different from the side of single point in time measurement in the prior art
Case.
More specifically, in another embodiment, Fig. 7 is the process of the best Time to pregnancy detection method of the embodiment
Figure.
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 standby pregnant
Normal relative low temperature state of temperature and normal relatively-high temperature state of temperature in the feminine menstrual phase.
Based on high temperature correlation obtained and low temperatures involving, identification standby pregnant women not same date physiological status,
And determine ovulation day.
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 change period is equal to the benchmark menstrual cycle of standby pregnant women, can according to the benchmark model
Ovulation day is predicted and (judges that corresponding benchmark ovulation day is predicting ovulation day in each benchmark menstrual cycle).Meanwhile
Relative low temperature state days multiple before ovulation day in a cycle corresponding multiple sample temperature sequences are averaged, base is obtained
Quasi- low temperature sequence carries out relatively-high temperature state days multiple after ovulation day in a cycle corresponding multiple sample temperature sequences
It is average, obtain 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.
In routine testing, when the high temperature correlation of acquisition is more than or equal to low temperatures involving for the first time, determine that its is corresponding
Sampling day is ovulation day.
Further, in order to obtain the accurate detection at ovulation moment, adopting for above-mentioned continuous time period acquisition can be made full use of
Sample temperature and two fiducial temperature sequences.
Specifically, being determined as the menstrual cycle of low-temperature condition in a few days and on the day before estimated ovulation day, it will be upper
State the temperature value and base that the moment is corresponded in the basal temperature and benchmark low temperature sequence that each time point samples in sampling time section
It corresponds to the temperature value at moment in quasi- high temperature sequence to be compared, when continuously obtaining certain amount or more since a sampling instant point
When being closer to correspond to the temperature value at moment in baseline high temperature sequence, determine that the moment point is moment point of most preferably becoming pregnant.In order to keep away
Judgment method also can be changed, e.g., when in the certain time since a sampling instant point in fluctuation when foundation-free temperature measures
There is specified quantity or more and (when such as sampling time interval is 2min, occurs 45 times in 2 hours in (in the time of such as two hours)
More than) it is closer to correspond to the temperature value at moment in baseline high temperature sequence (specifically, for example, sample temperature subtracts baseline high temperature
The absolute value that the temperature value at moment is corresponded in sequence is less than sample temperature and subtracts the temperature value for corresponding to the moment in benchmark low temperature sequence
Absolute value half) when, determine that the moment point is most preferably to become pregnant moment point.
Only the basal temperature of deep sleep is measured in the embodiment shown in fig. 7, because in deep sleep, temperature
Degree measurement is more stable accurate.But it also thus entirely eliminated the measurement of bldy temperature of " base state " outside.Occur when the ovulation moment
When non-" base state ", according to embodiment illustrated in fig. 7 method can only forwards be determined as deep sleep sampling instant in second day,
It can not accurately measure.
Fig. 8 is the best Time to pregnancy detection method flow chart in another embodiment, with reference to whole day in the embodiment
The continuous measurement of bldy temperature waited, and in order to exclude the temperature value measured under non-basic state with environment and standby pregnant women state mood etc.
Influence, processing is distinguished to the temperature value in the sample temperature of daily 24 hours continuous acquisitions, to the deep sleep moment
Sample temperature value uses as former state, handles the sample temperature value at non-deep sleep moment, the time-temperature for forming it
Curve obtains denoising and smooth.
Different from embodiment illustrated in fig. 7 is, the ginseng of daily continuous sampling in 24 hours is increased in embodiment illustrated in fig. 8
Temperature sequence is examined, and when benchmark model is established, in addition to the baseline high temperature sequence and benchmark low temperature sequence of " base state ",
The reference data high temperature sequence and reference data low temperature sequence of continuous sampling in 24 hours are acquired by identical method, by same side
Method in a few days and on the day before estimated ovulation day, each time point in the round-the-clock period will be sampled in low-temperature condition
It is corresponded in reference temperature and reference data low temperature sequence in the temperature value and reference data high temperature sequence at moment and corresponds to the moment
Temperature value is compared, when obtaining certain amount or more within a certain period of time since a moment point closer to reference data high temperature
When corresponding to the temperature value at moment in sequence, determine the moment point for reference to moment point of most preferably becoming pregnant, settable sampling time interval
For 5min, 20 times or more sample temperatures are obtained in 2 hours and subtract the absolute of the temperature value for corresponding to the moment in baseline high temperature sequence
Value is less than when sample temperature subtracts the half for corresponding to the absolute value of temperature value at moment in benchmark low temperature sequence and meets condition.
Round-the-clock temperature is incorporated observation scope by the reference of above-mentioned determination moment point of most preferably becoming pregnant, than it is described most preferably by
The pregnant moment, more fully however the moment of most preferably becoming pregnant, due to the basal temperature of the deep sleep of use, measurement was accurate, will not generate
Big error, standby pregnant women will can most preferably become pregnant the moment and to be all included in consideration of actually becoming pregnant with reference to most preferably moment of becoming pregnant.
With corresponding to the various embodiments described above, also in one embodiment there is disclosed a kind of best Time to pregnancy to examine by the present invention
Survey device, comprising:
Sampling module, for being carried out to the basal body temperature of standby pregnant women continuous at least one continuous sampling period
Sampling, obtains 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；
Best Time to pregnancy determining module determines best Time to pregnancy for being based on the correlation.
More preferably, at least one continuous sampling period in the sampling module is determined as follows:
Based on the daily schedule of standby pregnant women, select its deep sleep period as the continuous sampling period.
More preferably, described device further 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 standby pregnant women is carried out
Continuous sampling obtains a historical basis body temperature sample sequence；
And it is based on the historical basis body temperature sample sequence, the basal body temperature of standby pregnant women is modeled to obtain basal body temperature
Benchmark model, and predict menstrual cycle and predicting ovulation day, in which: the phase of history period is more than or equal to 40 days.
More preferably, in the best Time to pregnancy determining module: being best with the ovulation day determined according to the correlation
Time to pregnancy.
More preferably, the basal body temperature in the sampling module further include: the base of the side breast of the standby pregnant women
Plinth body 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 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.
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 standby pregnant women, to judge whether its situation of ovulating is different
Often.
More preferably, the best Time to pregnancy determining module, is also used to:
Based on the predicting ovulation day, the statistics of correlation is carried out to following temperature value and is compared, is most preferably become pregnant with determination
Time: in the sampling module sample sequence collected in each sample temperature value and described two fiducial temperature sequences, with
The reference temperature value of time corresponding to the sampling time of each sample temperature value in the sampling module sample sequence collected.
More preferably, described device further includes being used for reference to best ovulation moment determining device:
Round-the-clock 24 hours are selected as the continuous sampling period, different processing sides is used for following 2 kinds of temperature values
Original sampling data is used without processing for the temperature value of the basal body temperature of deep sleep period acquisition likes:；For
The temperature value of the basal body temperature of other times section acquisition carries out denoising and smoothing processing；
The temperature value of treated other times section and the temperature value of the deep sleep period without processing are formed
Daily reference temperature sequence；
It is in just based on reference temperature sequence daily in the standby pregnant women phase of history time, and relative to normal body temperature
The difference of normal relative low temperature state of temperature and normal relatively-high temperature state of temperature, obtains following two reference data temperature sequences:
Reference data high temperature sequence and reference data low temperature sequence；
For each sample temperature value in reference temperature sequence, temperature value in the reference data high temperature sequence at corresponding moment,
Temperature value in the reference data low temperature sequence at corresponding moment, carries out statistical comparison, determines with reference to the best ovulation moment.
More preferably, the sampling period is [0.1s, 300s].
In another embodiment, described device further includes user interactive module, is used for: according to user's input to sampling mould
Block carries out parameter setting, and can provide a user related test results.For the embodiment, a kind of user interaction side is provided
Formula.
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, described device further includes memory module, operable to be coupled in the temperature sensor.For the reality
Example is applied, it means that device 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 described device generally corselet pattern, front are equipped with sampling module, and the corselet at rear portion is equipped with
Correlation determining module, best Time to pregnancy 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, described device further includes communication module, is 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.
For the embodiment, in view of present invention discloses a kind of novel, for Time to pregnancy detection, wearable intelligence
Equipment, the present apparatus have also been additionally provided communication function, to transmit coherent signal.
More preferably, the position that described device measures arms handover at four is equipped with a centre bore, for standby pregnant women by nipple
Insertion, so that device is substantially secured to standby pregnant female chest.For the embodiment, which show a kind of knots for fixing the device
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.
More preferably, described device includes the small-power transmitting module integrated with the communication module, further includes outside one
Trunk module in set a distance；
The small-power transmitting module is for sending the electric signal of body temperature measured by temperature sensor with low-power signal
To trunk module, trunk module is transmitted after being pocessed to low-power signal with middle high power signals.
For the embodiment, which show detailed relay communication schemes, are conducive to the transmission of signal, also balance electromagnetism
The relationship of radiation and signal transmission the two.
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), for standby pregnant, nipple is embedded in diagram by women, thus by device in heart hole
It is substantially secured to standby pregnant female chest.
Standby pregnant women especially during deep sleep, wears the device, can collect basal body temperature by daily
Data.For the sample sequence of these temperature datas, these data can be handled in online or offline mode, thus according to standby
The judgement of the body temperature, basal body temperature of pregnant women obtains best Time to pregnancy.Each of each temperature sampling point sampling can be adopted
Sample temperature sequence is judged respectively, and is statisticallyd analyze, and determines best ovulation period according to the case where most sample temperature sequences.
Temperature carries out sum-average arithmetic to the phase that each temperature sampling point can also be acquired in the same time, finally obtains a representative sampling temperature
Degree series determine best ovulation period according to the method for previous embodiment.
In another embodiment, Figure 10 is a kind of structural schematic diagram of best Time to pregnancy detection device；The device packet
Include sampling module, benchmark modeling module, correlation determining module, best Time to pregnancy determining module, center control processing module
And display module.
Wherein, sampling module carries out continuous sampling for the temperature to standby pregnant women.And sample information is transmitted to correlation
Property determining module；Benchmark modeling module models basal temperature according to the historical data of standby pregnant women, obtains at least one
Fiducial temperature sequence；And correlation determining module, for determining at least one sequence and two bases in sample temperature value respectively
Correlation between quasi- temperature sequence.Wherein, fiducial temperature sequence is acquisition from the standby pregnant women under normal temperature condition.
Best Time to pregnancy determining module is set so that based on above-mentioned correlation and sample sequence and fiducial temperature sequence, identification comes
From the mode type of the sample temperature value of standby pregnant women, and determine best Time to pregnancy.Display module is most preferably become pregnant for showing
Time.Control processing module in center is then responsible for the work of control all modules.
Those skilled in the art will be understood that so-called each device 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 (7)
1. a kind of best Time to pregnancy detection method, includes the following steps:
S001: within phase of history period in the continuous sampling period of every day, the basal body temperature of standby pregnant women is connected
Continuous sampling, obtains a historical basis body temperature sample sequence；
S002: being based on the historical basis body temperature sample sequence, models the basal body temperature of standby pregnant women to obtain basal body temperature
Benchmark model, and predict menstrual cycle and predicting ovulation day, in which: the phase of history period is more than or equal to 40 days；
S100: at least one continuous sampling period, continuous sampling is carried out to the basal body temperature of standby pregnant women, is obtained at least
One basal body temperature sample sequence, at least one continuous sampling period are determined as follows: the work based on standby pregnant women
The time is ceased, selects its deep sleep period as the continuous sampling period；
S200: at least for one of basal body temperature sample sequence, determine the sequence and at least one fiducial temperature sequence it
Between correlation；
S300: being at least based on the correlation, determine best Time to pregnancy, is most with the ovulation day determined according to the correlation
Good Time to pregnancy；Specifically comprising step S301: based on the predicting ovulation day in S002, following temperature value being carried out related
The statistics of property and compare, with the best Time to pregnancy of determination: each sample temperature value and described at least one in sample sequence in S100
The fiducial temperature of time corresponding to sampling time in a fiducial temperature sequence, with each sample temperature value in sample sequence in S100
Value；
S401: round-the-clock 24 hours are selected as the continuous sampling period, different processing sides is used for following 2 kinds of temperature values
Formula:
Original sampling data is used without processing for the temperature value of the basal body temperature of deep sleep period acquisition；
Denoising and smoothing processing are carried out for the temperature value of the basal body temperature of other times section acquisition；
S402: the temperature value of treated other times section and the temperature value of the deep sleep period without processing are formed
Daily reference temperature sequence；
S403: it is in based on reference temperature sequence daily in the standby pregnant women phase of history time, and relative to normal body temperature
The difference of normal relative low temperature state of temperature and normal relatively-high temperature state of temperature, obtains following two reference data temperature sequences
Column: reference data high temperature sequence and reference data low temperature sequence；
S404: for each sample temperature value in reference temperature sequence, temperature value in the reference data high temperature sequence at corresponding moment,
Temperature value in the reference data low temperature sequence at corresponding moment, carries out statistical comparison, determines with reference to the best ovulation moment；
In this method, each body temperature sampling period is [0.1s, 300s].
2. the method according to claim 1, wherein the basal body temperature in the step S100 further includes institute
State the basal body temperature of the side breast of standby pregnant women.
3. the method according to claim 1, wherein the correlation in the step S200 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. a kind of best Time to pregnancy detection device, comprising:
Benchmark modeling module, is used for: within phase of history period in the continuous sampling period of every day, to the base of standby pregnant women
Plinth body temperature carries out continuous sampling, obtains a historical basis body temperature sample sequence；And it is based on the historical basis body temperature sample sequence,
The basal body temperature of standby pregnant women is modeled to obtain the benchmark model of basal body temperature, and predicts menstrual cycle and predicting ovulation day,
Wherein: the phase of history period is more than or equal to 40 days；
Sampling module, for carrying out continuous sampling to the basal body temperature of standby pregnant women at least one continuous sampling period,
At least one basal body temperature sample sequence is obtained, at least one continuous sampling period in the sampling module passes through such as lower section
Formula determines: the daily schedule based on standby pregnant women selects its deep sleep period as the continuous sampling period；Wherein, it adopts
The sample period is [0.1s, 300s]；
Memory module, it is operable to be coupled in temperature sensor；
Communication module, for the electric signal of body temperature measured by temperature sensor to be sent to outside；
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；Wherein, the fiducial temperature sequence is determined as follows: in the foundation menstrual period,
The historical basis body temperature for being in normal relative low temperature state of temperature and normal relatively-high temperature state of temperature relative to normal body temperature is adopted
Sample temperature value obtains following two fiducial temperature sequences: baseline high temperature sequence and benchmark low temperature sequence；
Best Time to pregnancy determining module determines best Time to pregnancy, according to the correlation for being based on the correlation
Determining ovulation day is best Time to pregnancy；It is also used to based on the predicting ovulation day, correlation is carried out to following temperature value
It counts and compares, with the best Time to pregnancy of determination: each sample temperature value in the sampling module sample sequence collected, and
Sampling time in described two fiducial temperature sequences, with each sample temperature value in sampling module sample sequence collected
The reference temperature value of corresponding time；
With reference to best ovulation moment determining device, it is used for: selects round-the-clock 24 hours as the continuous sampling period, for following
2 kinds of temperature values use different processing modes: for the acquisition of deep sleep period basal body temperature temperature value without place
It manages and uses original sampling data；Denoising and smoothing processing are carried out for the temperature value of the basal body temperature of other times section acquisition；
The temperature value of treated other times section and the temperature value of the deep sleep period without processing are formed into daily ginseng
Examine temperature sequence；Based on reference temperature sequence daily in the standby pregnant women phase of history time, and relative to normal body temperature at
In the difference of normal relative low temperature state of temperature and normal relatively-high temperature state of temperature, following two reference data temperature sequences are obtained
Column: reference data high temperature sequence and reference data low temperature sequence；For in reference temperature sequence each sample temperature value, to it is corresponding when
Temperature value in the reference data high temperature sequence at quarter, temperature value in the reference data low temperature sequence at corresponding moment, carry out statistical comparison,
It determines with reference to the best ovulation moment；
User interactive module for carrying out parameter setting to sampling module according to user's input, and can provide a user related inspection
Survey result；
Described device includes the small-power transmitting module integrated with the communication module, further include in external certain distance in
After module；
During the small-power transmitting module is used to for the electric signal of body temperature measured by temperature sensor being sent to low-power signal
After module, trunk module is transmitted after being pocessed to low-power signal with middle high power signals；
The sampling module is corselet pattern, including two rabats of bilateral symmetry, and each rabat includes four measurement arms, each survey
Multiple temperature sensors are provided on amount arm；
Described device generally corselet pattern, two rabats of front are equipped with sampling module, and the corselet at rear portion determines equipped with correlation
The shoulder belt of module, best Time to pregnancy determining module, benchmark modeling module, corselet is equipped with user interactive module；Described device
The position that arm handover is measured at four is equipped with a centre bore, is embedded in nipple for standby pregnant women, so that device is substantially stationary
In standby pregnant female chest；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.
5. device according to claim 4, which is characterized in that the basal body temperature in the sampling module further include:
The basal body temperature of the side breast of the standby pregnant women.
6. device according to claim 4, 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.
7. device according to claim 4, which is characterized in that the also operable coupling of the benchmark modeling module is arranged extremely
Ovum judgment module, the abnormal ovulation judgment module are used for:
Whether whether the benchmark model based on basal body temperature judge whether the luteal situation of standby pregnant women is abnormal, be pregnant, doubted
Like early abortion, whether do not ovulate, and issues prompting.
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Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105640596A (en) * | 2016-03-10 | 2016-06-08 | 深圳还是威健康科技有限公司 | Method for reckoning physiological cycle and smart band |
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| CN108703776A (en) * | 2018-05-25 | 2018-10-26 | 上海夏先机电科技发展有限公司 | A kind of method, apparatus and electronic equipment of determining user's physiological stage |
| CN110236489A (en) * | 2019-04-28 | 2019-09-17 | 华为技术有限公司 | A kind of luteal function appraisal procedure and device |
| CN113161019A (en) * | 2021-06-07 | 2021-07-23 | 黑龙江省医院 | Ovulation monitoring and reminding method for assisting pregnancy |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4530366A (en) * | 1981-12-01 | 1985-07-23 | Ares N.V. Amsterdam Nl, Swiss Branch | Electronic instrument for the control and treatment of infertility in women |
| JPH10197356A (en) * | 1997-01-07 | 1998-07-31 | Terumo Corp | Clinical thermometer for woman |
| CN1872003A (en) * | 2006-06-21 | 2006-12-06 | 徐刚 | Automatic system for analyzing menstrual cycle of female, and implement method |
| CN101528138A (en) * | 2006-09-05 | 2009-09-09 | 孕育中心有限公司 | Method of detecting and predicting ovulation and the period of fertility |
| CN103356244A (en) * | 2013-07-17 | 2013-10-23 | 芯河半导体（上海）有限公司 | Device and method for forecasting ovulatory and child-bearing periods |
| CN104305968A (en) * | 2014-11-14 | 2015-01-28 | 上海温尔信息科技有限公司 | Continuous body temperature monitoring corresponding-period comparing algorithm |
| CN204317531U (en) * | 2014-12-24 | 2015-05-13 | 陈佳 | A kind of intelligent brassiere |
| 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 |
-
2015
- 2015-11-09 CN CN201510757303.2A patent/CN105249996B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4530366A (en) * | 1981-12-01 | 1985-07-23 | Ares N.V. Amsterdam Nl, Swiss Branch | Electronic instrument for the control and treatment of infertility in women |
| JPH10197356A (en) * | 1997-01-07 | 1998-07-31 | Terumo Corp | Clinical thermometer for woman |
| CN1872003A (en) * | 2006-06-21 | 2006-12-06 | 徐刚 | Automatic system for analyzing menstrual cycle of female, and implement method |
| CN101528138A (en) * | 2006-09-05 | 2009-09-09 | 孕育中心有限公司 | Method of detecting and predicting ovulation and the period of fertility |
| CN103356244A (en) * | 2013-07-17 | 2013-10-23 | 芯河半导体（上海）有限公司 | Device and method for forecasting ovulatory and child-bearing periods |
| CN104305968A (en) * | 2014-11-14 | 2015-01-28 | 上海温尔信息科技有限公司 | Continuous body temperature monitoring corresponding-period comparing algorithm |
| CN204317531U (en) * | 2014-12-24 | 2015-05-13 | 陈佳 | A kind of intelligent brassiere |
| 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 |
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|---|---|
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