CN104921711A - Female physiological cycle body temperature monitoring method - Google Patents

Female physiological cycle body temperature monitoring method Download PDF

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Publication number
CN104921711A
CN104921711A CN201510407704.5A CN201510407704A CN104921711A CN 104921711 A CN104921711 A CN 104921711A CN 201510407704 A CN201510407704 A CN 201510407704A CN 104921711 A CN104921711 A CN 104921711A
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China
Prior art keywords
temperature
body temperature
curve
period
physiological
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Pending
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CN201510407704.5A
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Chinese (zh)
Inventor
康宏
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SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd
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SHANGHAI WEN'ER INFORMATION TECHNOLOGY Co Ltd
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Priority to CN201510407704.5A priority Critical patent/CN104921711A/en
Publication of CN104921711A publication Critical patent/CN104921711A/en
Pending legal-status Critical Current

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Abstract

The invention discloses a female physiological cycle body temperature monitoring method, and relates to the technical field of physiological cycle calculation. A diagnostic method comprises the first step of pretreating, the second step of automatically plotting a physiological cycle basal body temperature curve chart, the third step of extracting features and the fourth steps of comparing curves. By means of the female physiological cycle body temperature monitoring method, automatic operation is achieved, errors are small, and the practicability is strong.

Description

Determining female physiological periodicity temperature monitoring method
Technical field
The present invention relates to determining female physiological periodicity temperature monitoring method, belong to physiological period computing technique field.
Background technology
Normal Women of childbearing age body temperature after ovulation can raise 0.3 ~ 0.5 DEG C, low-temperature phase before ovulation, and high-temperature-phase after ovulation, ovulation day low temperature is minimum.And much SF is due to ovulatory dysfunction or luteal phase defect, its basal body temperature curve is different from normal female, and as possibility consecutive low temperature, or body temperature rises slowly, or the high temperature plateau body temperature persistent period is not enough, or body temperature rise deficiency etc.
Can effectively find female ovulation time point by monitoring determining female physiological periodicity basal body temperature, help women and become pregnant smoothly.And the method for drawing basics temperature curve is before: from the first day of menstrual onset, be drawn in the grid of corresponding temperature recording list without the movable basal body temperature number of degrees point measured after early morning every day is waken up, until till first 1 day of next menstrual onset, finally each point straight line is linked in sequence and just becomes the basal body temperature curve chart of 1 menstrual cycle.The method one day is only surveyed a temperature data and is easily missed minimum body temperature point and need hand-kept to draw and then give diagnosis, and patient is not enough thus cause diagnosis difficulty to the quantity of information of doctor.
Summary of the invention
For the problems referred to above, the technical problem to be solved in the present invention is to provide determining female physiological periodicity temperature monitoring method.
Determining female physiological periodicity temperature monitoring method of the present invention, its diagnostic method is: 1, pretreatment, adopts Denoising Algorithm remove invalid temperature data and carry out matching to missing data, obtains the complete information of body temperature;
2, physiological period basal body temperature curve chart is automatically drawn, integration is carried out to the TM Holter body temperature every 10s data continued to monitor measured by instrument and obtains a period of time body temperature point (as 1h), then the temperature curve figure obtaining a day (sleeping 8 hours) is linked up in pointwise, finds ovulation period point (be accurate to hour) in the figure; The temperature data of every day is got to the temperature curve figure a little obtaining a physiological period;
3, feature extraction, carries out feature extraction to physiological period basal body temperature data, obtains characteristic parameter as body temperature minimum point, megathermal period mean body temperature, hypothermic phase mean body temperature or the high/low temperature phase temperature difference;
4, curve comparison, compares the temperature curve identified and normal physiological cycle temperature curve, obtains curve comparison result, provide comparison report.
Beneficial effect of the present invention is: its automation mechanized operation, and error is little, practical.
Accompanying drawing illustrates:
For ease of illustrating, the present invention is described in detail by following concrete enforcement and accompanying drawing.
Fig. 1 is schematic flow sheet of the present invention.
Detailed description of the invention:
For making the object, technical solutions and advantages of the present invention clearly understand, below by the specific embodiment shown in accompanying drawing, the present invention is described.But should be appreciated that, these describe just exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present invention.
As shown in Figure 1, this detailed description of the invention by the following technical solutions: its diagnostic method is: 1, pretreatment, adopts Denoising Algorithm remove invalid temperature data and carry out matching to missing data, obtains the complete information of body temperature;
2, physiological period basal body temperature curve chart is automatically drawn, integration is carried out to the TM Holter body temperature every 10s data continued to monitor measured by instrument and obtains a period of time body temperature point (as 1h), then the temperature curve figure obtaining a day (sleeping 8 hours) is linked up in pointwise, finds ovulation period point (be accurate to hour) in the figure; The temperature data of every day is got to the temperature curve figure a little obtaining a physiological period;
3, feature extraction, carries out feature extraction to physiological period basal body temperature data, obtains characteristic parameter as body temperature minimum point, megathermal period mean body temperature, hypothermic phase mean body temperature or the high/low temperature phase temperature difference;
4, curve comparison, compares the temperature curve identified and normal physiological cycle temperature curve, obtains curve comparison result, provide comparison report.
More than show and describe ultimate principle of the present invention and principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and description just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection domain is defined by appending claims and equivalent thereof.

Claims (1)

1. determining female physiological periodicity temperature monitoring method, its diagnostic method is:
(1) pretreatment, adopts Denoising Algorithm remove invalid temperature data and carry out matching to missing data, obtains the complete information of body temperature;
(2) physiological period basal body temperature curve chart is automatically drawn, integration is carried out to the TM Holter body temperature every 10s data continued to monitor measured by instrument and obtains a period of time body temperature point (as 1h), then the temperature curve figure obtaining a day (sleeping 8 hours) is linked up in pointwise, finds ovulation period point (be accurate to hour) in the figure; The temperature data of every day is got to the temperature curve figure a little obtaining a physiological period;
(3) feature extraction, carries out feature extraction to physiological period basal body temperature data, obtains characteristic parameter as body temperature minimum point, megathermal period mean body temperature, hypothermic phase mean body temperature or the high/low temperature phase temperature difference;
(4) curve comparison, compares the temperature curve identified and normal physiological cycle temperature curve, obtains curve comparison result, provide comparison report.
CN201510407704.5A 2015-07-13 2015-07-13 Female physiological cycle body temperature monitoring method Pending CN104921711A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510407704.5A CN104921711A (en) 2015-07-13 2015-07-13 Female physiological cycle body temperature monitoring method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510407704.5A CN104921711A (en) 2015-07-13 2015-07-13 Female physiological cycle body temperature monitoring method

Publications (1)

Publication Number Publication Date
CN104921711A true CN104921711A (en) 2015-09-23

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510407704.5A Pending CN104921711A (en) 2015-07-13 2015-07-13 Female physiological cycle body temperature monitoring method

Country Status (1)

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CN (1) CN104921711A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105249996A (en) * 2015-11-09 2016-01-20 上海温尔信息科技有限公司 Optimal pregnancy time detection method and device
CN105249937A (en) * 2015-11-09 2016-01-20 上海温尔信息科技有限公司 Female natural contraception time monitoring method and device
CN107252323A (en) * 2017-06-05 2017-10-17 厦门美柚信息科技有限公司 Forecasting Methodology, device and the user equipment of determining female physiological periodicity
CN111658006A (en) * 2019-03-07 2020-09-15 华为技术有限公司 Method and device for predicting female physiological cycle
CN112057052A (en) * 2020-08-03 2020-12-11 北京邮电大学 Abnormal body temperature sequence screening method based on time sequence stability test

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105249996A (en) * 2015-11-09 2016-01-20 上海温尔信息科技有限公司 Optimal pregnancy time detection method and device
CN105249937A (en) * 2015-11-09 2016-01-20 上海温尔信息科技有限公司 Female natural contraception time monitoring method and device
CN105249996B (en) * 2015-11-09 2019-02-05 上海温尔信息科技有限公司 A kind of best Time to pregnancy detection method and device
CN107252323A (en) * 2017-06-05 2017-10-17 厦门美柚信息科技有限公司 Forecasting Methodology, device and the user equipment of determining female physiological periodicity
CN111658006A (en) * 2019-03-07 2020-09-15 华为技术有限公司 Method and device for predicting female physiological cycle
CN111658006B (en) * 2019-03-07 2022-09-02 华为技术有限公司 Method and device for predicting female physiological cycle
CN112057052A (en) * 2020-08-03 2020-12-11 北京邮电大学 Abnormal body temperature sequence screening method based on time sequence stability test

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