CN114078594A - Intelligent earphone for detecting female ovulatory period and algorithm thereof - Google Patents
Intelligent earphone for detecting female ovulatory period and algorithm thereof Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
- A61B10/0012—Ovulation-period determination
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1091—Details not provided for in groups H04R1/1008 - H04R1/1083
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B10/00—Other methods or instruments for diagnosis, e.g. instruments for taking a cell sample, for biopsy, for vaccination diagnosis; Sex determination; Ovulation-period determination; Throat striking implements
- A61B10/0012—Ovulation-period determination
- A61B2010/0019—Ovulation-period determination based on measurement of temperature
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Abstract
The invention discloses an intelligent earphone for monitoring the ovulatory period of a female, which comprises an earphone body and an intelligent terminal, wherein a wearing detection assembly is arranged at the left end edge inside the earphone body, a signal amplifier temperature sensing assembly is arranged at the right end inside the wearing detection assembly, an earphone and microphone assembly is arranged at the position on the right side of the wearing detection assembly inside the earphone body, a power supply device is arranged at the position on the right side of the earphone and microphone assembly inside the earphone body, a data processing chip is arranged at the position on the right side of the power supply device inside the earphone body, a data transmission assembly is arranged at the position on the right side of the data processing chip inside the earphone body, and a control button assembly is arranged at the position on the right side of the data transmission assembly inside the earphone body. Compared with the prior art, the invention has the advantages that: the body temperature can be detected, and the intelligent terminal can analyze, predict and judge the menstrual cycle.
Description
Technical Field
The invention relates to the technical field of female ovulation detection, in particular to an intelligent earphone for detecting the female ovulation and an algorithm thereof.
Background
During the period from first menstruation to menopause, the uterus changes periodically, called the menstrual cycle, which is about 28 days on average. During this period, the estrogen, progestogen, luteinizing hormone and follicle stimulating hormone in the body are changed periodically, and the basal body temperature is also changed periodically, during the menstrual period and the follicular period, the basal body temperature is low, the day before ovulation is reduced to the minimum, and after ovulation, i.e. the luteal period, the basal body temperature is rapidly increased by 0.3-0.5 ℃, and is maintained until the next menstruation comes. Sperm generally survive 2 to 6 days in uterus and 2 to 3 days in uterus after ova are discharged, so that the sperm is considered to be in the fertile period within 5 days before ovulation and 3 days after ovulation. In the menstrual cycle, the periods other than the menstrual period and the easy pregnancy period are called safe periods, i.e., periods not easy to conceive, and therefore, finding the ovulation period is important for guiding life and preparing pregnancy. The basic body temperature method is widely used for monitoring ovulation, guiding pregnancy preparation and contraception, but the method is not beneficial to women because of complicated operation and the need of self temperature measurement, self recording and self analysis.
At present, the mechanism of body temperature rise in the ovulatory period is not clear. It is generally accepted in the medical community that the increase in body temperature during ovulation is due to the fact that the core body temperature is increased by the direct or indirect action of progestagens or other unknown substances (such as norepinephrine) on the thermoregulatory center. Traditional female ovulation monitoring systems typically employ the oral cavity and the skin as the monitoring sites. The oral cavity temperature measurement is required to be carried out before the measurement gets up in the morning, and the requirements are high and the operation is troublesome. Skin temperature is affected by many factors, including exercise, thinking, mood, disease, medication, diet, etc., and is very different from basal body temperature and unstable, so it cannot be used as a better monitoring means.
The tympanic membrane is adjacent to the internal carotid artery and the internal jugular vein, and blood returned from the internal jugular vein mainly comes from the brain and a small part of the face and can represent and reflect the temperature of the brain, namely the temperature of a somatic nucleus. Because the two large blood vessels are not peripheral blood vessels, the expansion and contraction of the two large blood vessels are hardly influenced by sympathetic tension, so that the requirement on monitoring time is not high, and the representative body and temperature are monitored at any time.
The comprehensively calculated basal body temperature and the change trend thereof can be used for assisting in judging a specific certain period of the menstrual cycle of a female, including the menstrual period, the follicular phase, the ovulatory phase and the luteal phase, further can be used for guiding pregnancy preparation, contraception, monitoring early pregnancy and the like, and has certain potential in monitoring female infertility, polycystic ovary syndrome and premature labor.
The current methods for predicting or determining the reproductive cycle mainly comprise a urine test paper method, a common thermometer method and an intelligent thermometer method. The test paper in the urine test paper method belongs to consumables, is expensive and complex to operate, and needs to be automatically tested every day. The common thermometer method only needs one thermometer, and needs the user to measure and record the body temperature every day, so that the operation is complicated, and the calculation process also needs certain medical basic knowledge. The intelligent thermometer method saves the calculation process, but needs to measure the temperature automatically every day, has low acceptance and extremely high selling price.
Disclosure of Invention
The invention aims to overcome the defects and provides an intelligent earphone for detecting the ovulation period of a woman and an algorithm thereof, wherein the earphone can detect body temperature, and an intelligent terminal can analyze, predict and judge the menstrual cycle.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: the utility model provides an intelligent earphone of monitoring women ovulatory period, includes earphone main part and intelligent terminal, the inside left end edge department of earphone main part is equipped with wears detecting element, it is equipped with signal amplifier temperature sensing subassembly to wear the inside right-hand member of detecting element, the inside position that is located on wearing detecting element right side of earphone main part is equipped with earphone and microphone subassembly, the inside position that is located earphone and microphone subassembly right side of earphone main part is equipped with power supply unit, the inside position department that is located power supply unit right side of earphone main part is equipped with the data processing chip, the inside position that is located data processing chip right side of earphone main part is equipped with the data transmission subassembly, the inside position that is located data transmission subassembly right side of earphone main part is equipped with the control button subassembly.
An algorithm for monitoring the ovulation phase of a female comprising the steps of:
1) measuring for several times within several minutes until several sets of alternative body temperatures (T1, T2, T3 … … Tn) are obtained, wherein the measurement starting time and conditions and the measurement time interval are determined according to the equipment attributes, and the total times n are determined according to the power supply equipment and the heating characteristics of the device;
2) the range of the alternative body temperature is between 35 and 43 ℃, and every three continuous measuring values are combined to be (T ', T, T' '), the deviation of the three values is not more than 0.1 ℃, then T is the alternative body temperature, the deviation Delta T = | < T- (T' + T + T '')/3 |, if the Delta T is less than or equal to 0.1, then T is the alternative body temperature;
3) and after one calculation, the first numerical value in the combination is abandoned, the two remaining numerical values and the next numerical value form a new combination, and the calculation is repeated. Repeating the steps until n candidate body temperature data are obtained, and stopping measurement after the n candidate body temperature data are obtained;
4) transmitting the obtained n candidate data to an intelligent terminal, the intelligent terminal detecting the n candidate body temperature data, discarding body temperature values with deviation >0.2 ℃, discarding DeltaT = | (T1 + T2+ T3+ … … Tn)/n |, if DeltaT >0.2, discarding the body temperature value T, when the quantity of temperature values of DeltaT >0.2 is m, finally obtaining (n-m) effective body temperature data, averaging the (n-m) data, obtaining the average value of = (T1 + T2+ T3+ … … Tn-m)/n-m, namely the body temperature in the time period, when two earphones run in the same time period, detecting and averaging the obtained n + n data to obtain 2n-m effective body temperature values, and calculating the T by the same method;
5) the method comprises the steps of obtaining T data and the change trend of the T data in a menstrual cycle through the learning of at least one menstrual cycle, judging that a user is currently in a certain period in the menstrual cycle through the measured body temperature data and combining the learned body temperature trend of the menstrual cycle, and predicting the ovulation and the occurrence time of a menstrual event.
Compared with the prior art, the invention has the advantages that: compared with the prior art, the temperature sensor is convenient and fast to use, the temperature sensor is arranged in a wired earphone or a Bluetooth earphone, the body temperature can be monitored at any time, the measured body temperature data is transmitted to the intelligent terminal, and the female user is judged to be in a certain period of the menstrual cycle at the moment through recording, learning and analyzing. Further guiding fertility and contraception, etc. The invention has low cost and convenient use, and the user can check the data and the result at the intelligent terminal only by wearing the earphone when needing to listen to the song.
As an improvement, the earphone and microphone assembly comprises an earphone and a microphone.
As an improvement, the data transmission assembly is connected with the intelligent terminal through electromagnetic waves for transmission.
As an improvement, the temperature sensing component of the signal amplifier comprises a non-contact temperature sensor and a signal amplifier.
Drawings
Fig. 1 is a flow chart of the operation of the intelligent earphone and the algorithm for detecting the ovulation period of the female in the invention.
Fig. 2 is a schematic diagram of the menstrual cycle of an intelligent earphone and an algorithm thereof for detecting the ovulation period of a female in the invention.
Fig. 3 is a schematic structural diagram of an intelligent earphone for detecting the ovulation period of a female and an intelligent earphone structure of an algorithm thereof.
As shown in the figure: 1. the earphone comprises an earphone body, a wearing detection assembly, a signal amplifier temperature sensing assembly, a receiver and microphone assembly, a power supply device, a data processing chip, a data transmission assembly, a control button assembly and a control button assembly, wherein the earphone body is 2.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
With reference to the accompanying drawing 1, an intelligent earphone for monitoring the ovulatory period of women comprises an earphone body 1 and an intelligent terminal, the edge of the left end inside the earphone body 1 is provided with a wearing detection component 2, the right end inside the wearing detection component 2 is provided with a signal amplifier temperature sensing component 3, the position on the right side of the wearing detection component 2 inside the earphone body 1 is provided with a receiver and a microphone component 3, the position on the right side of the receiver and microphone component 4 inside the earphone body 1 is provided with a power supply device 5, the position on the right side of the power supply device 5 inside the earphone body 1 is provided with a data processing chip 6, the position on the right side of the data processing chip 6 inside the earphone body 1 is provided with a data transmission component 7, and the position on the right side of the data transmission component 7 inside the earphone body 1 is provided with a control button component 8.
An algorithm for monitoring the ovulation phase of a female comprising the steps of:
1) measuring for several times within several minutes until several sets of alternative body temperatures are obtained (T1, T2 and T3 … … Tn), wherein the measurement starting time and the measurement time interval are determined according to the equipment attributes, and the total times n are determined according to the power supply equipment and the heating characteristics of the device;
2) the range of the alternative body temperature is between 35 and 43 ℃, and every three continuous measuring values are combined to be (T ', T, T' '), the deviation of the three values is not more than 0.1 ℃, then T is the alternative body temperature, the deviation Delta T = | < T- (T' + T + T '')/3 |, if the Delta T is less than or equal to 0.1, then T is the alternative body temperature;
3) and after one calculation, the first numerical value in the combination is abandoned, the two remaining numerical values and the next numerical value form a new combination, and the calculation is repeated. Repeating the steps until n candidate body temperature data are obtained, and stopping measurement after the n candidate body temperature data are obtained;
4) transmitting the obtained n candidate data to an intelligent terminal, the intelligent terminal detecting the n candidate body temperature data, discarding body temperature values with deviation >0.2 ℃, discarding DeltaT = | (T1 + T2+ T3+ … … Tn)/n |, if DeltaT >0.2, discarding the body temperature value T, when the quantity of temperature values of DeltaT >0.2 is m, finally obtaining (n-m) effective body temperature data, averaging the (n-m) data, obtaining the average value of = (T1 + T2+ T3+ … … Tn-m)/n-m, namely the body temperature in the time period, when two earphones run in the same time period, detecting and averaging the obtained n + n data to obtain 2n-m effective body temperature values, and calculating the T by the same method;
5) the method comprises the steps of obtaining T data and the change trend of the T data in a menstrual cycle through the learning of at least one menstrual cycle, judging that a user is currently in a certain period in the menstrual cycle through the measured body temperature data and combining the learned body temperature trend of the menstrual cycle, and predicting the ovulation and the occurrence time of a menstrual event.
And (4) correcting, wherein the temperature of the nucleus of the human body periodically changes with day and night, is lowest at 2 to 6 am and is highest at 1 to 6 afternoon. In principle, the trend of body temperature needs to be compared with the data obtained at the same time in two days before and after the body temperature. In fact, the body temperature trend of the human body conforms to a corresponding mathematical model, such as a three-oscillator model, and can represent the integral level of the body temperature of the day after being corrected according to a related formula.
The earphone and microphone assembly 4 comprises an earphone and a microphone.
And the data transmission component 7 is connected with the intelligent terminal through electromagnetic waves for transmission.
The signal amplifier temperature sensing component 3 comprises a non-contact temperature sensor and a signal amplifier.
Examples
The user can set automatic temperature measurement/manual temperature measurement at the intelligent terminal. The manual temperature measurement earphone does not need to be equipped with a wearing detection function.
Manual temperature measurement: after the start button is pressed, a voice prompt is given to 'measure the body temperature for you, please confirm and wear the earphone correctly and maintain for at least a plurality of minutes', and the temperature measurement is started after the start button is pressed again for a plurality of minutes. After which the user does not need to operate again.
The automatic temperature measurement function needs to be equipped with wearing detection component 4, and wearing detection starts to operate after the earphone is powered on/off, and body temperature measurement starts automatically after a plurality of minutes after wearing is confirmed.
The menstrual cycle of the user is 28-30 days, the menstrual cycle lasts for 5-6 days, and the ovulation day is 13-15 days of the menstrual cycle.
The first day of the menstrual cycle was determined as: day one at the beginning of hypothermia.
1, the user is on day 7 of the menstrual cycle and T is in the low phase, at which time the user is predicted to be in the follicular phase, the safe phase. The safe period means sexual life of the user during the period, the pregnancy probability is small, and the user can not wear a condom.
2, the user is on day 11 of the menstrual cycle and T is in the low phase, when the user is predicted to be in the follicular phase, the fertile phase. While not ovulating, sperm may survive in utero for a period of time that may overlap with the time of ovulation, and fertilization may be likely when surviving sperm are encountered after ovulation. The easy pregnancy period prompts the user to perform sexual life in the period, and if the user does not wear the condom, the pregnancy probability is very high.
3, the user is on day 14 of the menstrual cycle and is in high T phase, at which time the user is advised that ovulation has occurred. If Tr is again in high phase with respect to the previous day, the prediction accuracy is further increased. The user is on day 14 of the menstrual cycle and either Tr or Ts is below the low phase, at which point the user is advised that ovulation will occur in a short period of time. The sexual life without condoms is carried out in the ovulation period, and the conception probability is very high.
4, the user is on day 16 of the menstrual cycle and Tr and Ts are simultaneously in high phase, at which time the user is predicted to be in ovulation/luteal phase, fertile phase. Ovulation may have occurred at this point, and the ova may survive up to 3 days after they are discharged into the uterus, and fertilization of the ova may also be easily induced if sexual life is not condom.
5, the user is on day 19 of the menstrual cycle, and has a high phase T and a duration greater than 3 days or more, at which time the user is predicted to be in the luteal phase, the safe phase. The period from three days after ovulation to the next menstruation is the safe period.
6, the user is on day 27 of the menstrual cycle, and T is in high phase, and the ovulation time differs from the last cycle by no more than 1 day, at which time the user is predicted to be in luteal phase, safe phase, premenstrual phase. Prompting the user for an impending menstruation to address relevant life and work, such as sporting events, admission check surgery, milestones, sanitary napkins, analgesic preparation, and the like.
7, the user is on day 36 of the menstrual cycle and T is in high phase and the time to ovulation does not differ from the last cycle by more than 1 day, at which time it is predicted that a prolongation of the luteal phase, a delayed menstruation, or an early pregnancy may be possible. The user selects whether to perform a pregnancy test or a hospital admission check in combination with whether the user performs unprotected life after the end of the previous menstrual period.
The present invention and its embodiments have been described above, and the description is not limited thereto, and the structure shown in the drawings is only one embodiment of the present invention, and the actual structure is not limited thereto, depending on the actual situation. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. An intelligent earphone for monitoring the ovulatory period of a female is characterized in that: comprises an earphone main body (1) and an intelligent terminal, a wearing detection component (2) is arranged at the edge of the left end in the earphone main body (1), a signal amplifier temperature sensing component (3) is arranged at the right end inside the wearing detection component (2), a receiver and microphone assembly (3) is arranged in the earphone body (1) at the right side of the wearing detection assembly (2), a power supply device (5) is arranged in the earphone main body (1) and is positioned at the right side of the receiver and microphone assembly (4), a data processing chip (6) is arranged at the position of the right side of the power supply device (5) in the earphone main body (1), a data transmission component (7) is arranged at the right side of the data processing chip (6) in the earphone main body (1), and a control button assembly (8) is arranged at the right side of the data transmission assembly (7) in the earphone main body (1).
2. An algorithm for monitoring the ovulation phase of a female, comprising the steps of:
1) measuring for several times within several minutes until several sets of alternative body temperatures (T1, T2, T3 … … Tn) are obtained, wherein the measurement starting time and conditions and the measurement time interval are determined according to the equipment attributes, and the total times n are determined according to the power supply equipment and the heating characteristics of the device;
2) the range of the alternative body temperature is between 35 and 43 ℃, and every three continuous measuring values are combined to be (T ', T, T' '), the deviation of the three values is not more than 0.1 ℃, then T is the alternative body temperature, the deviation Delta T = | < T- (T' + T + T '')/3 |, if the Delta T is less than or equal to 0.1, then T is the alternative body temperature;
3) discarding the first numerical value in the combination after one calculation, and leaving two numerical values and the next numerical value to form a new combination for repeated calculation; repeating the steps until n candidate body temperature data are obtained, and stopping measurement after the n candidate body temperature data are obtained;
4) transmitting the obtained n candidate data to an intelligent terminal, the intelligent terminal detecting the n candidate body temperature data, discarding body temperature values with deviation >0.2 ℃, discarding DeltaT = | (T1 + T2+ T3+ … … Tn)/n |, if DeltaT >0.2, discarding the body temperature value T, when the quantity of temperature values of DeltaT >0.2 is m, finally obtaining (n-m) effective body temperature data, averaging the (n-m) data, obtaining the average value of = (T1 + T2+ T3+ … … Tn-m)/n-m, namely the body temperature in the time period, when two earphones run in the same time period, detecting and averaging the obtained n + n data to obtain 2n-m effective body temperature values, and calculating the T by the same method;
5) the method comprises the steps of obtaining T data and the change trend of the T data in a menstrual cycle through the learning of at least one menstrual cycle, judging that a user is currently in a certain period in the menstrual cycle through the measured body temperature data and combining the learned body temperature trend of the menstrual cycle, and predicting the ovulation and the occurrence time of a menstrual event.
3. The intelligent earphone for monitoring female ovulatory period according to claim 1, wherein: the earphone and microphone assembly (4) comprises an earphone and a microphone.
4. The intelligent earphone for monitoring female ovulatory period according to claim 1, wherein: and the data transmission assembly (7) is in radio transmission with the intelligent terminal.
5. The intelligent earphone for monitoring female ovulatory period according to claim 1, wherein: the signal amplifier temperature sensing assembly (3) comprises a non-contact temperature sensor and a signal amplifier.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010816731.9A CN114078594A (en) | 2020-08-14 | 2020-08-14 | Intelligent earphone for detecting female ovulatory period and algorithm thereof |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010816731.9A CN114078594A (en) | 2020-08-14 | 2020-08-14 | Intelligent earphone for detecting female ovulatory period and algorithm thereof |
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| CN114078594A true CN114078594A (en) | 2022-02-22 |
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| CN202010816731.9A Pending CN114078594A (en) | 2020-08-14 | 2020-08-14 | Intelligent earphone for detecting female ovulatory period and algorithm thereof |
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| Country | Link |
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| CN (1) | CN114078594A (en) |
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Application publication date: 20220222 |