CN116269222A - Method, device and storage medium for evaluating menstrual period qi and blood of women - Google Patents
Method, device and storage medium for evaluating menstrual period qi and blood of women Download PDFInfo
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Abstract
According to the invention, the body temperature of the user to be evaluated is scored, the sleeping of the user to be evaluated is scored from three dimensions of body movement, body temperature and heart rate, the scores of the body temperature and the sleeping are fused in a certain proportion to calculate the qi and blood value QB, and the corrected qi and blood value QBX is obtained by correcting the qi and blood value QB through the regular menstrual period delay days which are calculated by the user through confirming that the accurate menstrual period is more than the common period; the corrected qi and blood values QBX over 30 days are collected and averaged to obtain the qi and blood state value QBA of the user to be evaluated, so that an accurate qi and blood evaluation device can be provided for female menstrual period.
Description
Technical Field
The application relates to the field of human body physical and mental health evaluation, in particular to a human body physical and mental qi and blood evaluation method.
Background
The qi and blood are considered as basic substances of life activities of human bodies in traditional Chinese medicine, and are energy sources of all functional activities. The traditional Chinese medicine takes yin and yang five elements as a theoretical basis, regards human body as the unity of qi, shape and spirit, and analyzes the changes of qi, blood and body fluids by combining the four diagnostic methods of looking, smelling, inquiring and cutting.
Normal body temperature is a basic condition for the human body to exert physiological functions, and is also an important sign of sufficient qi and blood in the body. In general, the hands of people with sufficient qi and blood are always warm, and if the palm of the hand is hot or the hand is cold, the problem of insufficient qi and blood may exist. It follows that body temperature is an important dimension in characterizing qi and blood values.
The Zhang Zhongjing of east Han, shang Han Lun, has proposed that the pathogenesis of sleep disorder is known in three general categories, one of which is imbalance of qi, blood, yin and yang. The Qing dynasty physician Wu Cheng first uses the theory of qi deficiency and blood stasis to treat insomnia with the earliest application of qi invigorating and blood circulation promoting methods. The four volumes of Yi He Ji of Qing dynasty Shen Shiyu are loaded with the theory of being able to tonify the stomach and the spleen, and the patients are considered to have deficiency of qi and blood and dysphoria after illness, and then sleep slightly and wake easily. According to the traditional Chinese medicine literature, the sleeping quality and qi and blood are tightly hooked, and the situation that a person has qi and blood deficiency is easy to appear in the sleeping problem. Thus, sleep quality becomes another dimension characterizing qi and blood values.
In addition, the traditional Chinese medicine considers that qi and blood are the basis of vital activities of human bodies, qi circulation is that blood flows, and the blood is pushed by qi in the human bodies; the traditional Chinese medicine also considers that the metaplasia of blood can be realized under the action of qi. Menstrual fluid is the rest of blood, and overflows to form menstrual fluid; the symptoms of blood deficiency are withered, and the menstruation is stopped, and whether the menstruation is due to the abundance or insufficiency of qi and blood is considered. Qi deficiency results in blood deficiency, while blood deficiency results in no excess blood being converted into menstruation.
The current human qi and blood evaluation method and evaluation device can enable masses to evaluate qi and blood by themselves, but does not consider female menstrual factors, particularly menstrual delay factors, so that temporary qi and blood evaluation is very inaccurate in menstrual period, and therefore, it is necessary to provide a female menstrual qi and blood evaluation method considering menstrual factors.
Disclosure of Invention
In order to accurately evaluate qi and blood values during female menstrual period, the embodiment of the application provides a female menstrual period qi and blood evaluation device, which comprises the following steps:
the body temperature scoring module scores the body temperature of the user to be evaluated to obtain a body temperature scoring value NT of the user to be evaluated;
the sleep scoring module scores the sleep of the evaluated user to obtain a sleep scoring value SQ of the evaluated user; wherein, the liquid crystal display device comprises a liquid crystal display device,
the sleeping of the user to be evaluated is scored as the slave body movement, and the three dimensions of the body temperature and the heart rate are scored;
the qi and blood value calculating module calculates qi and blood value QB of the evaluated user according to the body temperature score NT of the evaluated user and the sleep score SQ of the evaluated user;
the qi and blood value correction module corrects the qi and blood value QB according to the normal menstrual period delay days calculated by the user in a more general period of the accurate menstrual period to obtain a corrected qi and blood value QBX;
the qi and blood value calculation module collects the corrected qi and blood values QBX for more than 30 days, and averages to obtain the qi and blood state value QBA of the evaluated user as the basis of health monitoring or treatment.
Further, the body temperature scoring module is configured to:
s11: acquiring the average temperature of all users in a certain sleep time period
S12: measuring the body temperature value of the user to be evaluated at intervals of time window in the certain sleep time period, and measuring the body temperature value N at the ith time i The total number of times of collection is n;
s13: according to the body temperature value N i Average value of body temperature of whole users
Calculating the difference to obtain the ith temperature scoring value NTM of the user to be evaluated i ：
Where 1000 is the initial score for the body temperature of the user being evaluated,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time;start is sleep Start time; end-Start is sleep duration in hours of sleep End time minus sleep Start time; />
Is the average value of the body temperature of the whole users;
s14: repeating the steps S11-S13 to obtain n evaluated user body temperature scoring values NTM 1 ，NTM 2 ，NTM 3 ，……NTM n Based on the n evaluated user body temperature scoring values NTM 1 ，NTM 2 ，NTM 3 ，……NTM n Calculating a body temperature scoring value NT of the tested user:
further, the scoring by the sleep scoring module from the body movement dimension comprises the following steps:
s21: measuring acceleration a in three axes of X axis, Y axis and Z axis of the user to be evaluated xt ，a yt ,a zt By the acceleration a xt ，a yt ,a zt The combined acceleration a is calculated:
s22: calculating a sleep body movement index R according to the combined acceleration a:
wherein K is i Sleep coefficient, p is the number of times of R1; wherein, the liquid crystal display device comprises a liquid crystal display device,
sleep is determined when R <1, and wake is determined when R > 1; ai is the wrist activity number of a certain minute before or after the current one minute;
s23: drawing the sleep body movement index R value into a curve, judging the sleeping and getting-up time of a user by extracting characteristic information of the curve, determining a sleeping interval according to the sleeping and getting-up time, recording the times of R & lt 1 & gt in the sleeping process after determining the sleeping interval, and calculating the deduction according to the times of R & lt 1 & gt to obtain a body movement sleeping score value BM, wherein the formula is as follows:
wherein End-Start refers to the sleep duration in hours obtained by subtracting the sleep Start time from the sleep End time.
Further, the sleep scoring module scoring sleep from the body temperature dimension comprises the steps of:
s24: acquiring the average temperature of all users in a certain sleep time period
S25: measuring the body temperature of the user to be evaluated once every other time window in the certain sleep time period, and measuring the body temperature value B at the jth time j The total number of times of collection is m;
s26: according to the body temperature value B i Average value of body temperature of the whole users
Calculating the difference to obtain the sleep score BTM j ，
Where 1000 is the hypothesized initial sleep score,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time; start is sleep Start time; end-Start is the sleep End time minusSleep duration in hours at sleep onset; />
Is the average value of the body temperature of the whole users;
s27: repeating the steps S24-S26 to obtain m individual temperature score BTM 1 ，BTM 2 ，BTM 3 ，……BTM m BTM according to the m individual temperature score values 1 ，BTM 2 ，BTM 3 ，……BTM m The body temperature sleep score value BT is calculated,
further, the scoring by the sleep scoring module from the heart rate comprises the following steps:
according to the heart rate during the sleep period of the monitoring user, heart rate data are obtained, the number of times l that the heart rate of the user is not in the interval is analyzed by taking the heart rate mean value +/-standard deviation as a range, and therefore the heart rate sleep score value HB of the user is calculated:
further, the sleep scoring module calculates a sleep scoring value SQ of the evaluated user:
SQ＝(BT*0.5+BM*0.4+HB*0.1)*0.1；
the qi and blood value calculating module calculates a qi and blood value QB according to the evaluated user body temperature score NT and the evaluated user sleep score SQ as follows:
wherein SQ q The quality of sleep score on day q is indicated,
the average value of sleep quality score values from the q-th day to the q-1 th day is represented, and NT is a user body temperature score value.
Further, the qi-blood value correction module is further configured to: if the predicted menstrual period user confirms that the normal menstrual period day delay r (r is more than or equal to 1 and less than or equal to 6) calculated in a more general period is more than or equal to the normal menstrual period day delay r, the daily QB value of the user needs to be subtracted by r by 0.5 minutes from the first day of the menstrual period and within six days after the first day of the menstrual period, and the corrected qi and blood value QBX is as follows:
further, the qi-blood value correction module is further configured to:
if the predicted menstrual period user confirms accurately and is delayed by 7 days (including 7 days) from the normal menstrual period estimated by the ordinary period, the QB value of the user needs to be reduced by 5 minutes from the first day of the menstrual period and six days after the first day, and the QB value QBX is corrected to be
Further, the accelerations a in the three axes xt ，a yt ,a zt Measured by the wearable device.
The application also provides a female menstrual blood evaluation system, which is characterized in that the female menstrual blood evaluation device according to any one of claims 1-8 is implemented.
The embodiment provided by the application has at least the following beneficial effects:
according to the female menstrual period qi and blood evaluation device provided by the invention, the body temperature of the user to be evaluated is scored, the sleep of the user to be evaluated is scored from three dimensions of body movement, body temperature and heart rate, the scores of the body temperature and the sleep are fused in a certain proportion to calculate the qi and blood value QB, and the corrected qi and blood value QBX is obtained by correcting the qi and blood value QB through the normal menstrual period delay days which are calculated by the user through confirming the accurate menstrual period and are more commonly calculated through the period; the corrected qi and blood values QBX over 30 days are collected and averaged to obtain the qi and blood state value QBA of the user to be evaluated, and the device adopting the method can measure the qi and blood values more accurately in female menstrual period.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a schematic diagram of a female menstrual period qi-blood evaluating device according to an embodiment of the present application;
FIG. 2 is a schematic diagram of calculating a body temperature score value of an evaluated user according to an embodiment of the present application;
FIG. 3 is a schematic diagram of scoring sleep from body motion dimensions provided in an embodiment of the present application;
fig. 4 is a schematic diagram of scoring sleep from the body temperature dimension provided in an embodiment of the present application;
FIG. 5 is a flow chart for correction of menstrual blood values;
fig. 6 is a schematic diagram of a sleep score calculating apparatus according to an embodiment of the present application.
In fig. 1-6: 1. a temperature sensing module; 2. an acceleration sensing module; 3. an optical analog front end module; 4. a communication module; 5. a data processing module; 51. an information interference filtering module; 52. an information datamation processing module; 53. a data curve conversion module; 6. an analysis module; 101. a body temperature scoring module; 102. a sleep scoring module; 103. a qi and blood value calculation module; 104. and the qi and blood value correction module.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
Referring to fig. 1, the device for evaluating human body physical and mental qi and blood provided in the present application includes: the body temperature scoring module 101, the sleep scoring module 102 and the qi and blood value calculating module 103 score the body temperature and the sleep of the user to be evaluated respectively, the qi and blood value calculating module 103 fuses the scores of the body temperature and the sleep in two dimensions according to a certain proportion to calculate the qi and blood value QB, the qi and blood value correcting module 104 corrects the calculated qi and blood value QB to obtain a qi and blood corrected value QBX, the corrected qi and blood value QBX is collected for more than 30 days, and the accurate qi and blood state value QBA of the menstrual period of the user to be evaluated is obtained by averaging. The process of calculating the qi and blood value QB is specifically described below.
1. Scoring the body temperature of an evaluated user
The body temperature scoring module 101 scores the body temperature of the user to be evaluated, as shown in fig. 2, S11: acquiring the average temperature of all users in a certain sleep time period
It should be noted that the average value of the body temperature
Can be obtained from historical clinical data; or selecting a certain user, such as 500 users and 1000 users, and measuring the body temperature of all users for multiple times within a certain time period to perform average calculation;
the whole users can select users with different ages and sexes, including children, young, middle-aged and elderly; including men and women. The system can test the qi and blood values of users with different ages and sexes respectively.
S12: measuring the body temperature of the user to be evaluated once every other time window in the certain sleep time period, wherein the body temperature measured at the ith time is N i The total number of times of collection is n;
it should be noted that, every other time window may be 5 minutes, or may be other time windows, and the user to be evaluated is a patient, or a household health monitor.
The sleeping time period can be from 11 nights to 1 early morning, and the time when the person is in deep sleep from 1 early morning to 2 early morning; the afternoon nap time may also be selected.
S13: the body temperature N measured according to the step S12 i Average value of body temperature of whole users
Calculating the difference to obtain the ith body temperature score NTM of the user to be evaluated i ，
Where 1000 is the hypothesized body movement sleep onset score,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time; start is sleep Start time; end-Start is sleep duration in hours of sleep End time minus sleep Start time; />
Is the average value of the body temperature of the whole users;
s14: repeating the steps S11-S13 to obtain n individuals Wen Pingfen NTM 1 ，NTM 2 ，NTM 3 ，……NTM n Wen Pingfen NTM of the n individuals 1 ，NTM 2 ，NTM 3 ，……NTM n The sum is multiplied by a coefficient of 0.1 to obtain a final product Wen Fenshu NT,
2. scoring sleep of an evaluated user
The sleep scoring module 102 scores the sleep of the user to be evaluated, acquires three information of body movement, body temperature and heart rate of the user, and calculates the sleep quality score SQ of the user to be evaluated by combining the three information of body movement, body temperature and heart rate.
2.1 body movement dimension
As shown in fig. 3, S21: measuring acceleration a in three axes of X axis, Y axis and Z axis of the user to be evaluated xt ，a yt ,a zt By the acceleration a xt ，a yt ,a zt Calculating a combined acceleration a;
it should be noted that, the physical quantity of body movement in the health care field is usually represented by acceleration, the acceleration is conveniently measured by using a wearable device, and the acceleration on three axes of an X axis, a Y axis and a Z axis can be measured by using a sensor of the wearable device, so as to reduce the influence of different postures on the sampling result, and the body movement condition is described by using the combined acceleration a.
The combined acceleration indicates the intensity of human body movement, which integrates the acceleration changes of the X axis, Y axis and Z axis of the human body into a vector, and the larger the value is, the more intense the movement is. And quantifying the measured body movement signal by using a zero-crossing detection mode, and recording the times that the body movement combined acceleration value is larger than the reference acceleration value in one minute, namely the body movement times in one minute.
The algorithm formula of the sleep body movement index R is as follows:
wherein R is sleep state judgment result, a is total acceleration, K i Is the sleep coefficient, K i The values can be obtained by a multiple linear regression method, and n is the number of times R1.
In the relation model type between the body movement information and the sleep state, sleep is judged when R <1, and wake-up is judged when R > 1. Ai is the number of wrist activities in a certain minute before and after the current minute, for example, A0 is the number of wrist activities in the current minute, A1 is the number of wrist activities in the 1 st minute before the current minute, A0 is the number of wrist activities in the current minute, and A1 is the number of wrist activities in the 1 minute after the current minute.
And drawing a night R value into a curve, judging the sleeping and getting-up time of the user by extracting the characteristic information of the data curve, and determining a sleeping interval according to the sleeping and getting-up time. After determining the sleep interval, the number of times R >1 during sleep (n is the number of times R "1" in the formula) is recorded, i.e. the number of times/duration the device wearer wakes up in the sleep interval. The initial score is 1000 points, and the calculation of the deduction is carried out according to the times of R >1, so as to obtain the body movement sleep score BM. The formula is as follows:
where End-Start refers to the sleep End time minus the sleep Start time (in hours), i.e., the sleep duration.
2.2 body temperature dimension
As shown in fig. 4, S24: acquiring the average temperature of all users in a certain sleep time period
It should be noted that the temperature mean value T may be obtained from historical clinical data; a certain number of users, such as 500 users and 1000 users, can be selected, and the body temperature of all users is measured for multiple times within a certain time period to be obtained by average calculation;
the whole users can be users with different ages and sexes, including children, young, middle-aged and elderly; including men and women.
S25: measuring the body temperature of the user to be evaluated once every other time window in the certain sleep time period, and measuring the body temperature value B at the jth time j The total number of times of collection is m;
it should be noted that, every other time window may be 5 minutes, or may be other time windows, and the user to be evaluated is a patient, or a household health detector.
S26: according to the body temperature value B j Calculating the difference between the sleep score and the average value T of the body temperature of the whole users to obtain the sleep score BTM of the body temperature j ，
Where 1000 is the hypothesized initial sleep score,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time; start is sleep Start time; end-Start is sleep duration in hours of sleep End time minus sleep Start time; t is the average of the body temperature of all users;
s27: repeating the steps S24-S26 to obtain m individual temperature score BTM 1 ，BTM 2 ，BTM 3 ，……BTM m BTM according to the m individual temperature score values 1 ，BTM 2 ，BTM 3 ，……BTM m The body temperature sleep score value BT is calculated,
2.3 heart Rate dimension
And obtaining heart rate data according to the heart rate during the sleep period of the monitored user, and analyzing the number of times l of the heart rate of the user in the interval by taking the heart rate mean value +/-standard deviation as a range, thereby calculating the heart rate sleep score HB of the user.
Through the mode, the body movement dimension, the body temperature dimension and the heart rate dimension are obtained, the parameter model is optimized through multiple fitting equations according to multiple experimental analysis of 100 people data, and the final sleep quality score algorithm formula is as follows:
SQ＝(BT*0.5+BM*0.4+HB*0.1)*0.1
2.4 QB value calculation of Qi-blood Condition
The qi and blood condition is easily affected by accidental factors, and long-term monitoring and observation are required to accurately evaluate the qi and blood condition. In order to eliminate the extremely large influence of the accidental sleep quality score on the qi and blood value, the invention not only takes the sleep quality of the user on the same day as a reference in the dimension, but also can blend the whole condition of the sleep quality of the user before to estimate and calculate the qi and blood value.
The formula is to integrate QB (sleep quality fraction) and NT (body temperature fraction) which are obtained by adding the two aspects according to a certain proportion, wherein QB is an qi and blood value. SQq the sleep quality score on day q, (sq1+.+ SQq-1/q-1) the average of the sleep quality scores from day 1 to day q-1, NT is the body temperature score).
2.5 menstrual period estimation
And (3) extracting characteristic information of the data curve from the R value curve in the section 2.1 to judge the sleeping and getting-up time of the user, and taking the body temperature of the user before getting up as the base body temperature of the user on the same day.
The monitoring was continued for a period of 1 month, and the basal body temperature data was saved for each day of the user for this 1 month. The data within one month is converted into a data curve by the data processing system. The data analysis system performs prediction analysis of ovulation day, menstrual period prediction and next menstrual period.
The ovulatory period and menstrual period calculation comprises the following specific steps:
s31: judging the date that the basal body temperature is higher than the basal body temperature in the previous day and the difference value is in the first temperature range, and marking the date, wherein the marked body temperature variable is 1;
s32: traversing all the days before the body temperature variable is 1 as suspected ovulation days;
s33: judging the effectiveness of the suspected ovulation day, extracting a basic body temperature curve of the suspected ovulation day and three days after the suspected ovulation day, judging whether the trend of the curve is in an ascending state, and if the trend of the curve is in a descending state, eliminating the possibility that the suspected ovulation day is the actual ovulation day; if the curve trend is in an ascending or leveling state, determining the suspected ovulation day as an actual ovulation day;
s34: after determining the actual ovulation day, calculating the date of 14 days of backward pushing of the ovulation day as the reference day of the first day of menstrual period;
s35: and taking the estimated reference day and the three-day interval of two days before and after the reference day as the prediction interval of the menstrual period first day.
S36: the pop-up interface inquires the user whether the first day of the last menstrual period exists in the days, if not, prompts the user that the basic body temperature data are abnormal, and the user is required to input the date of the first day of the last menstrual period to assist in judging and recalculating, so that the possibility of abnormal values of the number of the equipment per se is eliminated; if so, the actual ovulation day of the user's last month and the approximate time of the menstrual first day can be automatically determined, and the prediction of the next menstrual period can be started.
The physiological cycle of females is normally regularly and periodically varying. For women with accurate physiological cycle, the next ovulation day and the next ovulation period can be judged according to the physiological cycle record calculated in the first month, and the system can prompt the user in advance under the condition, so that the user can conveniently take contraceptive or conception measures. However, women with inaccurate physiological cycles need to be continuously monitored to prompt the time of the next ovulation day and the predicted menstrual period.
Whether or not the menstrual period of the female user is accurate, the ovulation day monitoring is continuously carried out:
s37: after the last ovulation day and menstrual period of the user are basically determined, the base body temperature of the period 5 days after the end of the last menstrual period (the menstrual period is 5 days), which is defined as the post-menstrual body temperature average value, is processed by average value.
S38: and continuously tracking the body temperature of the user, grabbing the characteristic day when the base body temperature of the user on a certain day is higher than the post-menstrual average value and the difference value is in a second temperature range, judging that the day before the current day is the suspected ovulation day of the current month, and providing a display for the user.
S39: if the body temperature is higher than the temperature of the three days after the suspected ovulation day, the day is the actual ovulation day of the current month; if the body temperature is lower than the suspected ovulation day three days after the suspected ovulation day, the day is not the actual ovulation day, the system resumes the monitoring of the ovulation day, the previous presumption steps are repeated, and the user interface displays the re-monitoring; after determining the actual ovulation day, the system predicts the time of the menstrual period of the user by counting 14 days from the actual ovulation day and displays the ovulation day, the ovulation period and the predicted menstrual period time interval monitored by the user system through the signal output unit.
S40: and then confirming whether the predicted menstrual period time interval shown by the system is accurate or not by a user, if so, continuing monitoring, and if not, prompting monitoring abnormality, and manually inputting the actual menstrual period to assist the monitoring calculation of the next physiological period by the user.
Menstrual delay is the appearance of obvious qi and blood deficiency, the original calculation mode has larger error and needs to be further corrected by adopting a qi and blood value correction module 104, as shown in fig. 6, if predicted menstrual daily user confirmation is accurate and is more than normal menstrual daily delay r (r is more than or equal to 1 and less than or equal to 6) calculated by a common period, the daily QB value of the user needs to be reduced by r by 0.5 point in six days from the first day of menstrual period, and the corrected qi and blood value QBX is:
if the predicted menstrual period user confirms accurately and delays more than 7 days (including 7 days) from the normal menstrual period estimated by the general period, the user's daily QB value needs to be reduced by 5 minutes from the first day of the menstrual period and six days after the first day of the menstrual period.
In summary, if the menstrual period of the user is not regulated, the formula of the qi and blood value QB in the beginning 7 days of the menstrual period is as follows:
the QBA is used for representing the qi and blood state value of a user for a period of time (more than 30 days), and the qi and blood state value QBA is calculated by correcting the qi and blood value QBX:
wherein s represents the number of days.
The long-term sleep quality algorithm was used to monitor the qi and blood values QB of 100 users, and the data of the 100 users was continuously tracked for about 3 months, and the average qi and blood values QBA were calculated by the algorithm.
The improvement of the present application is an improvement of the algorithm, embodied on software stored in a storage medium, and therefore, based on the above calculation method, the present application further provides a computer readable medium comprising: the computer readable medium has software stored thereon, which performs the method described above.
Based on the above calculation method, as shown in fig. 6, the present application further provides a sleep quality score calculation apparatus, including:
the system comprises a temperature sensing module 1, an acceleration sensing module 2, an optical analog front end module 3, a communication module 4, a data processing module 5 and an analysis module 6;
the temperature sensing module 1 collects temperature data of an evaluated user; the acceleration sensing module 2 collects three-axis acceleration data of X axis, Y axis and Z axis of the user to be evaluated; the optical analog front end module 3 collects heart rate data of a user;
a communication module 4 for transmitting first information to a data processing system, the first information comprising the temperature data, the acceleration data and the heart rate data;
the data processing module 5 comprises an information interference filtering module 51, an information data processing module 52 and a data curve converting module 53, wherein the information interference filtering module 51 filters the first information sent by the received communication module 4, and the information data processing module 52 and the data curve converting module 53 convert the filtered information into data and curve to obtain second information;
the analysis module 6 extracts characteristic information of the second information, judges sleep time through a formula and calculates sleep scores of three dimensions to calculate sleep quality scores, wherein,
the characteristic information is information required for judging sleep time by a formula and calculating sleep scores of three dimensions to calculate sleep quality scores.
Furthermore, by the human qi and blood evaluation method and the evaluation device, qi and blood can be automatically measured, so that people without medical experience can observe own qi and blood level in real time, and the health level is concerned.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. A female menstrual period qi and blood evaluating device, which is characterized by comprising the following steps:
the body temperature scoring module scores the body temperature of the user to be evaluated to obtain a body temperature scoring value NT of the user to be evaluated;
the sleep scoring module scores the sleep of the evaluated user to obtain a sleep scoring value SQ of the evaluated user; wherein, the liquid crystal display device comprises a liquid crystal display device,
the sleeping of the user to be evaluated is scored as the slave body movement, and the three dimensions of the body temperature and the heart rate are scored;
the qi and blood value calculating module calculates qi and blood value QB of the evaluated user according to the body temperature score NT of the evaluated user and the sleep score SQ of the evaluated user;
the qi and blood value correction module corrects the qi and blood value QB according to the normal menstrual period delay days calculated by the user in a more general period of the accurate menstrual period to obtain a corrected qi and blood value QBX;
the qi and blood value calculation module collects corrected qi and blood values QBX for more than 30 days, and calculates the average value of the corrected qi and blood values QBX to obtain the qi and blood state value QBA of the user to be evaluated as the basis of health monitoring or treatment.
2. The female menstrual period qi-blood assessment device according to claim 1, wherein said body temperature scoring module is for:
s11: acquiring the average temperature of all users in a certain sleep time period
S12: measuring the body temperature value of the user to be evaluated at intervals of time window in the certain sleep time period, and measuring the body temperature value N at the ith time i The total number of times of collection is n;
s13: according to the body temperature value N i Average value of body temperature of whole users
Calculating the difference to obtain the ith temperature scoring value NTM of the user to be evaluated i ：
Where 1000 is the initial score for the body temperature of the user being evaluated,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time; start is sleep Start time; end-Start is sleep duration in hours of sleep End time minus sleep Start time; />
Is the average value of the body temperature of the whole users;
s14: repeating the steps S11-S13 to obtain n evaluated user body temperature scoring values NTM 1 ，NTM 2 ，NTM 3 ，……NTM n Based on the n evaluated user body temperature scoring values NTM 1 ，NTM 2 ，NTM 3 ，……NTM n Calculating a body temperature scoring value NT of the tested user:
3. the female menstrual period qi-blood assessment device according to claim 2, wherein said scoring by said sleep scoring module from the body movement dimension comprises the steps of:
s21: measuring acceleration a in three axes of X axis, Y axis and Z axis of the user to be evaluated xt ，a yt ,a zt By the acceleration a xt ，a yt ,a zt The combined acceleration a is calculated:
s22: calculating a sleep body movement index R according to the combined acceleration a:
wherein K is i Sleep coefficient, p is the number of times of R1; wherein, the liquid crystal display device comprises a liquid crystal display device,
sleep is determined when R <1, and wake is determined when R > 1; ai is the wrist activity number of a certain minute before or after the current one minute;
s23: drawing the sleep body movement index R value into a curve, judging the sleeping and getting-up time of a user by extracting characteristic information of the curve, determining a sleeping interval according to the sleeping and getting-up time, recording the times of R & lt 1 & gt in the sleeping process after determining the sleeping interval, and calculating the deduction according to the times of R & lt 1 & gt to obtain a body movement sleeping score value BM, wherein the formula is as follows:
wherein End-Start refers to the sleep duration in hours obtained by subtracting the sleep Start time from the sleep End time.
4. The female menstrual period qi-blood assessment device according to claim 1, wherein said sleep scoring module scoring sleep from the body temperature dimension comprises the steps of:
s24: acquiring a temperature average value T of all users in a certain sleep time period;
s25: measuring the body temperature of the user to be evaluated once every other time window in the certain sleep time period, and measuring the body temperature value B at the jth time j The total number of times of collection is m;
s26: according to the body temperature value B j Average value of body temperature of the whole users
Calculating the difference to obtain the sleep score BTM j ，
Where 1000 is the hypothesized initial sleep score,
an initial score for each temperature point, 2 x (End-Start) x 12 is the number of temperature points, end is the sleep End time; start is sleep Start time; end-Start is sleep duration in hours of sleep End time minus sleep Start time; />
Is the average value of the body temperature of the whole users;
s27: repeating the steps S24-S26 to obtain m individual temperature score BTM 1 ，BTM 2 ，BTM 3 ，……BTM m BTM according to the m individual temperature score values 1 ，BTM 2 ，BTM 3 ，……BTM m The body temperature sleep score value BT is calculated,
5. the female menstrual period qi and blood evaluation device according to claim 1, wherein the scoring by the sleep scoring module from heart rate comprises the steps of:
according to the heart rate during the sleep period of the monitoring user, heart rate data are obtained, the number of times l that the heart rate of the user is not in the interval is analyzed by taking the heart rate mean value +/-standard deviation as a range, and therefore the heart rate sleep score value HB of the user is calculated:
6. the female menstrual period qi and blood evaluation device according to claim 1, wherein the sleep scoring module calculates the sleep scoring value SQ of the user being evaluated:
SQ＝(BT*0.5+BM*0.4+HB*0.1)*0.1；
the qi and blood value calculating module calculates a qi and blood value QB according to the evaluated user body temperature score NT and the evaluated user sleep score SQ as follows:
wherein SQ q The quality of sleep score on day q is indicated,
the average value of sleep quality score values from the q-th day to the q-1 th day is represented, and NT is a user body temperature score value.
7. The female menstrual period blood assessment device according to claim 1, wherein said qi and blood value correction module is further configured to: if the predicted menstrual period user confirms that the normal menstrual period day delay r (r is more than or equal to 1 and less than or equal to 6) calculated in a more general period is more than or equal to the normal menstrual period day delay r, the daily QB value of the user needs to be subtracted by r by 0.5 minutes from the first day of the menstrual period and within six days after the first day of the menstrual period, and the corrected qi and blood value QBX is as follows:
8. the female menstrual period blood assessment device according to claim 1, wherein said qi and blood value correction module is further configured to:
if the predicted menstrual period user confirms accurately and is delayed by 7 days (including 7 days) from the normal menstrual period estimated by the ordinary period, the QB value of the user needs to be reduced by 5 minutes from the first day of the menstrual period and six days after the first day, and the QB value QBX is corrected to be
9. A female menstrual period blood assessment device according to claim 3, wherein the accelerations a in said three axes xt ，a yt ,a zt Measured by the wearable device.
10. A female menstrual blood assessment system, characterized in that a female menstrual blood assessment device according to any one of claims 1-8 is performed.
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