CN109222944A - A kind of parameter control method and system of ambulatory blood pressure - Google Patents

A kind of parameter control method and system of ambulatory blood pressure Download PDF

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CN109222944A
CN109222944A CN201811228208.3A CN201811228208A CN109222944A CN 109222944 A CN109222944 A CN 109222944A CN 201811228208 A CN201811228208 A CN 201811228208A CN 109222944 A CN109222944 A CN 109222944A
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blood pressure
value
control method
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processor unit
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CN109222944B (en
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李光
刘睿
邱明礼
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Shaanxi Kang Kang Shengshi Electronic Technology Co Ltd
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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    • A61B5/02141—Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes

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Abstract

The invention discloses a kind of parameter control method of ambulatory blood pressure and system, which includes processor unit, and processor unit is connected with sound transducer, temperature sensor, acceleration transducer and blood pressure measurement module；And processor unit is also connected with communication module, display unit, memory and power module；Processor unit is calculated according to the environmental information that sound transducer, temperature sensor and acceleration transducer provide, and judges to control the operation range of blood pressure measurement module, and blood pressure measurement module sends the blood pressure information of measurement to processor unit.Currently invention addresses some important external factor for influencing human blood-pressure, consider the influence for the blood pressure measurement time respectively for different factors, then all combined factors are considered, carry out total judgement.Meanwhile external environment condition when recording human body blood pressure measurement using more sensors, it can be to provide more fully information when diagnosis.

Description

A kind of parameter control method and system of ambulatory blood pressure
Technical field
The invention belongs to the field of medical instrument technology, are related to the measurement of ambulatory blood pressure, are a kind of parameter controls of ambulatory blood pressure Method and system processed.
Background technique
The chronic cardiovascular and cerebrovascular disease such as hypertension, diabetes just seriously threatens health of masses, wherein hypertensive patient's number At most, China's Hypertensive Population more than 2.7 hundred million, brings heavy social burden to amount.
Hypertension is to be increased with systemic arterial blood pressure (systolic pressure and/or diastolic pressure) as main feature (systolic pressure >=140 Millimetres of mercury, diastolic pressure >=90 millimetress of mercury) a kind of chronic disease.As living standard is promoted, average life span is greatly promoted, together When rhythm of life and pressure increase so that the illness ratio of hypertension increases year by year.Hypertension is as a kind of most common chronic Disease, prolonged hypertension cannot control, and can be old in threatening with the function or organic lesion of the organs such as the heart, brain, kidney The important diseases of year health.
The factor for influencing human blood-pressure is more.Adjusting of the blood pressure by human body automatic nervous system, emotional state is to blood pressure It is affected, in addition, movement, environment temperature, time etc. can all influence human blood-pressure.Ambulatory blood pressure monitors can be continuous 24 small When or longer Time Continuous monitoring patient blood pressure, it is dynamic in entire monitoring process that measurement data reflects patient's blood pressure State situation of change provides an important basis for the Accurate Diagnosis of doctor.Be apparent from the change conditions of patient's blood pressure with And environment locating for human body in corresponding situation, the reason of for office hypertension, proposes reasonable drug control program and comment Estimate the controlling of blood pressure situation after being applied to some scheme treatment to be all important.
Ambulatory blood pressure monitoring is the effective means for screening white coat hypertension, measurement nighttime blood pressures, direction of medication usage etc., in English The countries such as state want Definite Hypertension must advanced Mobile state monitoring of blood pressure.Therefore ambulatory blood pressure monitors are current diagnosis and assessment The goldstandard of hypertension.
Ambulatory blood pressure is exactly to be measured in patient 24 hours round the clock using ambulatory blood pressure monitors, at interval of in certain time Pressure value be known as ambulatory blood pressure.Ambulatory blood pressure data by patient 24 hours can make doctor more accurately grasp patient One day blood pressure situation.
The main stream approach that ambulatory blood pressure monitors measurement blood pressure uses is oscillographic method and Korotkoff's Sound method, wherein especially with oscillographic method What is used is more.Both methods is all to control the cuff being wrapped on human body upper arm in given time of measuring point and complete one Secondary inflation/deflation process monitors certain parameters of whole process, extrapolates systolic pressure and diastolic pressure according to parameter.Recently also there is use Monitors pulse wave velocity carries out blood pressure measurement, but since pulse wave velocity individual difference is larger, Clinical efficacy also needs checking Card.
Circadian blood pressure profile instrument is in order to measure real patient blood pressure, it is desirable that on the daily life of patient influence it is more few more It is good, it is mostly powered using battery, while reducing volume and weight as far as possible.This requires that the electricity of ambulatory blood pressure monitors band Pond cannot be too big too heavy, to also limit the capacity of battery.The one-shot measurement process of ambulatory blood pressure needs to complete one to cuff Secondary inflation/deflation process, this process need drive magnetic valve and inflation pump work, are that ambulatory blood pressure monitors battery capacity mainly disappears The aspect of consumption.Battery capacity directly determines total pendulous frequency.In this way, this certain limitation of overall measurement number has led to one A problem is difficult to solve: in the process of blood pressure rapid fluctuations, the variation of understanding blood pressure more careful on the time is needed, this requires Measurement interval is shorter；On the other hand the blood pressure situation in long period observation patient is needed, overall measurement number is certain In the case where need to measure that interval is long as far as possible, this conflict is difficult to meet simultaneously again.
Common ambulatory blood pressure monitors set measurement interval by doctor or nurse using before wearing, and start to survey Blood pressure monitor carries out automatic measurement according to the setting time after amount, and measurement process can not change measurement interval.More complex setting Strategy can set interval according to the period, and if interval half an hour on daytime surveys once, night is primary per surveying every other hour, this Measurement interval is fixed value, can not be according to the case where patient or the case where environment is adjusted in measurement process.If automatic The measure setup time is too short, then will lead to patient's arm discomfort, and night seriously affects patient sleeps.If setting measurement was spaced It is long, then it can not be accurately obtained the blood pressure information of patient, important blood pressure data may be omitted.In addition, patient motion can also be led The case where causing part measurement failure, so that measurement data can be made not to be able to satisfy the needs of diagnosis to a certain extent.Therefore, it should have A kind of flexible technical solution, can be according between environmental factor and historical measurement data automatically adjustment ambulatory blood pressure measurement in real time Every if patients' blood tends to that normally, interval time of measurement can be increased, reduction is to patient effect；If patients' blood is inclined It is high then need to shorten interval time of measurement, more accurately grasp patients' blood's situation of change.
According further to " hypertensive patient's heart rate manages Chinese Consensus of experts ", the blood pressure in the case of high heart rate increases risk It is bigger, it is therefore desirable to pay attention to the blood pressure measurement under the conditions of high heart rate.
Time of measuring point (time interval) how is selected, the measurement sampled point for having clinical value is increased, extends monitoring period, It is the major issue urgently to be solved that ambulatory blood pressure control method faces.It is badly in need of a kind of flexible technology for this problem Scheme can adjust ambulatory blood pressure measurement interval in real time automatically.
Summary of the invention
It is an object of the invention to overcome the above-mentioned prior art, a kind of parameter control method of ambulatory blood pressure is provided And system.
The purpose of the present invention is achieved through the following technical solutions:
This Dynamic blood pressure measure system includes processor unit, and the processor unit is connected with to acquire ring The sound transducer of border sound, the temperature sensor to measure environment temperature, the acceleration sensing to detect exercise intensity Device and the measuring unit of blood pressure to detect patients' blood；And the processor unit is also connected with communication module, display list Member and memory cell further include that promising whole system provides the power module of electric power；The processor unit is passed according to sound The environmental information that sensor, temperature sensor and acceleration transducer provide is calculated, and judges to control the blood The operation range of measuring unit is pressed, the measuring unit of blood pressure sends the blood pressure information of measurement to processor unit.
Further, above-mentioned communication module is GPRS communication module.
Based on above system structure, the state modulator side for focusing on proposing a kind of Dynamic blood pressure measure system of the invention Method determines current time of measuring interval according to all many reference amounts:
Determine that prediction pressure value Pcur, processor unit judge that controlling blood pressure surveys according to determining prediction pressure value Pcur Amount module is actuated for the time interval Δ size of blood pressure measurement, and time interval Δ specifically calculates according to the following formula:
Δ=Fh(H)+ΔstFall(FP(Pcur),FPR(PRcur),FT(T),VFT(ΔT),FAu(AP, MP), FA(AA, MA))；
Wherein:
ΔstIt is the standard time interval rule of thumb defined；
Fall() is a multi-variable function, according to variable FP(·)、FPR(·)、FT(·)、VFT(·)、FAu(·)、FA The value of () is calculated, Φp,ΦPR,ΦT,ΦVF,ΦAu,ΦAIt is corresponding FP(·)、FPR(·)、FT(·)、VFT(·)、FAu (·)、FAThe coefficient of (), calculation formula are as follows: Fall()=Φp·FP(·)+ΦPR·FPR(·)+ΦT·FT(·)+ ΦVF·VFT(·)+ΦAu·FAu(·)+ΦA·FA(·)。
Φp,ΦPR,ΦT,ΦVF,ΦAu,ΦAAccording to the experience according to clinical experience or the acquisition of big data and individual survey Constant, preliminary value are all 1.
Further, the determination of above-mentioned prediction pressure value Pcur is to be obtained according to recent blood pressure measurement, or predict Pressure value Pcur estimates current predicted value using autoregression model:
Wherein: akFor predetermined coefficient, PtkFor measured value；Specifically, Pt1Indicate the last measured value, Pt0Indicate reciprocal Second of measured value, and so on,Indicate kth time measured value reciprocal；K is natural number.
Further, with superior function FP(Pcur) calculate it is as follows:
Wherein: TPIt is all preset constant with β.
Further, the above predicted value PR using AR model estimation pulse frequencycur:
Wherein: δkFor predetermined coefficient, PRtkFor measured value；Specifically, PRt1 indicates the last measured value, PRtkIt indicates Secondary measured value second from the bottom, and so on, PRtkIndicate kth time measured value reciprocal, k is natural number；
Obtain PRcurLater, according to function FPR(PRcur) adjustment amount of the calculating to current time interval, FPRUsing following fixed Justice:
Wherein: TPRIt is all preset constant with ε.
Further, influence coefficient F of the absolute value of temperatures above to measurement intervalT(T), wherein T is Current Temperatures, FT () is a function predetermined；
The suddenly change of temperature is VF to the influence coefficient at measurement intervalT(Δ T), Δ T be temperature at certain time intervals Changing value, VFT() is predefined Function Mapping relationship；
Here FT(T) and VFT(Δ T) all uses piecewise linear model:
θT, θ LT,TT, TΔTIt is all the empirical obtained according to clinical experience or big data and individual survey.
Further, above by sound transducer pick up sound, and retain a period of time average sound intensity AP and most loudly Strong MP is as parameter and pre-defined function FAu(AP, MP):
FAu(AP, MP)=θmp·MP+AP
Wherein: θmpIt is predefined constant, is defined according to clinical experience or big data and individual survey.
Further, exercise intensity is reacted above by the measured value of acceleration transducer, the acceleration in record unit time Spend average value AA and acceleration maximum value MA；Function FA(AA, MA) characterizes current exercise intensity；Current exercise intensity is larger When, patient is indicated in strenuous exercise, and accident is taken blood pressure；FA(AA, MA) such as gives a definition:
FA(AA, MA)=θMA·MA+AA；
θMAIt is predefined constant, is defined according to clinical experience or big data and individual survey.
It further, was one section, one 4 sections of hour, whole day 24 hours according to 15 minutes in 24 hours in above method 96 sections；Rule of thumb data generate 96 sections of tables of data, and the specific time is according to falling into the corresponding period serial number of which segment record H tables look-up to obtain corresponding Fh(H) value.
The invention has the following advantages:
The present invention reduces invalid measurements, and accident is taken blood pressure when strenuous exercise.And allow blood pressure measurement must It is measured when wanting, reduces pendulous frequency when predicting that blood pressure is steady, increase pendulous frequency when the necessity of measurement improves.In addition originally When invention is also directed to environmental factor acute variation, blood pressure measurement is carried out, the dynamic adjustment performance of blood pressure is reacted, provided for diagnosis dynamic State reference index.
Further, currently invention addresses some important external factor for influencing human blood-pressure, distinguish for different factors The influence for the blood pressure measurement time is considered, then all combined factors are considered, carries out total judgement.
Further, external environment condition when human body blood pressure measurement is recorded using more sensors, can be examined for doctor More fully information is provided when disconnected.
Detailed description of the invention
Fig. 1 is outline structural diagram of the invention；
Fig. 2 is that system of the invention connects block diagram.
Specific embodiment
The invention will be described in further detail with reference to the accompanying drawing:
Referring to Fig. 1, Dynamic blood pressure measure system of the invention includes processor unit 2, and the processor unit 2 connects It is connected to the sound transducer 10 to acquire ambient sound, the temperature sensor 9 to measure environment temperature, to detect movement The acceleration transducer 8 of intensity and the measuring unit of blood pressure 7 to detect patients' blood；And the processor unit 2 also connects It is connected to communication module, display unit 5 and memory cell 4, further includes that promising whole system provides the power module 3 of electric power；Place Reason device unit 2 is calculated according to the environmental information that sound transducer 10, temperature sensor 9 and acceleration transducer 8 provide, and It judges to control the operation range of measuring unit of blood pressure 7, measuring unit of blood pressure 7 sends the blood pressure information of measurement to place Manage device unit 2.
In highly preferred embodiment of the present invention, communication module is GPRS communication module；Processor unit is based on ARM's STM32F103.Sound transducer can be digital micro microphone FAN6756MRMY；Temperature sensor is SHT21, is realized high The temperature of precision measures；Storage unit uses MX25L25635, provides the data storage capacity of 256MB, can store multi-parameter Data.Acceleration transducer uses LIS2DW12, realizes the real-time measurement of acceleration.
Present system can continuously measure temperature locating for patient, ambient sound and the fortune of patient by the above sensor Dynamic situation adjusts time of measuring by machine real-time intelligent.Adjust blood pressure measurement interval consider because being known as:
1) pressure value predicted
2) pulse frequency
3) environment temperature (being obtained by temperature sensor)
4) ambient sound intensity (being obtained by sound transducer)
5) exercise intensity (being obtained by acceleration transducer)
6) time
Parameter control method of the invention, i.e. specific strategy are described as follows:
The pressure value of prediction: starting this blood pressure measurement for when, needs to refer to the pressure value of prediction, if predicted value is inclined Height, then measuring interval should reduce, and on the one hand can determining patient, whether pressure value is high really in current slot, on the other hand Blood pressure data can be acquired within the hypertension period of patient more, meet the clinical demand of ambulatory blood pressure；Conversely, if predicted value just Often, then measuring interval can suitably increase.
The predicted value of current blood pressure can be obtained according to recent blood pressure measurement.Human blood-pressure changes with various factors Bigger, the measurement predicted value using single time is inappropriate.It is current pre- used here as autoregression model (AR model) estimation Measured value Pcur:
Wherein: akFor predetermined coefficient, PtkFor measured value；Specifically, Pt1Indicate the last measured value, PtaIndicate reciprocal Second of measured value, and so on, PtkIndicate kth time measured value reciprocal.
Obtain PcurLater, according to function FP(Pcur) adjustment amount to current time interval can be calculated.FPUsing following fixed Justice:
Wherein: TPIt is all preset constant with β.
Pulse frequency predicted value: for hypertensive patient, pulse frequency value is able to reflect out Current heart rate, and in 24 hours dynamics It is the Dynamic Heart Rate that can obtain patient while blood pressure measurement.Studies have shown that compared with consulting room heart rate, Dynamic Heart Rate can be Clinic provides the information for more having predictive value, and reproducible, avoids White coat effect.24 hourly average heart rate > 75 Beat/min, cardiovascular death and All-cause death increase [].Therefore, it at patient pulse rate > 75 beat/min, should pay special attention to, suitably Reduce measurement interval.It is identical with the predicted value of blood pressure, using the predicted value PR of AR model estimation pulse frequencycur:
Wherein: δkFor predetermined coefficient, PRtkFor measured value.Specifically, PRt1Indicate the last measured value, PRt2It indicates Secondary measured value second from the bottom, and so on, PRtkIndicate kth time measured value reciprocal.
Obtain PRcurLater, according to function FPR(PRcur) adjustment amount to current time interval can be calculated.FPRUsing such as Give a definition:
Wherein: TPRIt is all preset constant with ε.
Temperature: human blood-pressure can generally change with external environment, and the change of temperature illustrates human body from a context conversion Another environment is arrived, human body can generate certain stress reaction to influence blood pressure.In addition temperature is absolute for blood pressure Have an impact, when as higher such as temperature, causes human peripheral blood vessel diastole, blood pressure is lower.The influence of temperature is divided to two aspects:
1. the absolute value of temperature is to the influence coefficient at measurement interval；FT(T), T is Current Temperatures FT() is predetermined One function.
2. the suddenly change of temperature is to the influence coefficient at measurement interval: VFT(Δ T), Δ T be temperature at certain time intervals Changing value, VFT() is predefined Function Mapping relationship.
Here FT(T) and VFT(Δ T) all uses piecewise linear model:
θr′θΔT′TT, TΔTIt is all the empirical obtained according to clinical experience or big data and individual survey.
Sound: noisy environment or unexpected scaring make one fluctuation of blood pressure, and blood pressure can rise when in addition human body excitement is argued It is high.Sound is picked up by microphone, is only retained the average sound intensity AP and maximum sound intensity MP of a period of time as parameter and is predefined Function FAu(AP, MP):
FAu(AP, MP)=θmp·MP+AP
Wherein: θmpIt is predefined constant, is defined according to clinical experience or big data and individual survey.
Exercise intensity: exercise intensity is reacted by the measured value of acceleration transducer, and the acceleration in the unit time is flat Mean value (AA) and acceleration maximum value (MA) are recorded.Function FA(AA, MA) characterizes current exercise intensity.Current movement is strong When spending larger, indicate that patient in strenuous exercise, is not suitable for measurement blood pressure.FA(AA, MA) such as gives a definition:
FA(AA, MA)=θMA·MA+AA
θMAIt is predefined constant, is defined according to clinical experience or big data and individual survey.
Time: there are certain correlation in blood pressure and time, such as there are a spoon type curves for normal human's blood pressure, from morning Highest after bed is minimum before afternoon supper.It is segmented according to certain time interval within 24 hours, such as 15 minutes are one section, a hour 4 Section, 96 sections of whole day 24 hours.Rule of thumb data generate 96 sections of tables of data, and the specific time is corresponding according to which segment record is fallen into Period serial number H, table look-up to obtain corresponding Fh(H) value.
Above function FP(Pcur)、FPR(PRcur)、FT(T)、VFT(ΔT)、FAu(AP, MP), FA(AA, MA), Fh(H) only Define the influence of single factors.Current time interval Δ calculates as follows:
Δ=Fh(H)+ΔstFall(FP(Pcur),FPR(PRcur),FT(T),VFT(ΔT),FAu(AP, MP), FA(AA, MA))；
ΔstIt is the standard time interval rule of thumb defined.
Fall() is a multi-variable function, according to variable FP(·)、FPR(·)、FT(·)、VFT(·)、FAu(·)、FA The value of () is calculated.Formula is as follows:
Fall()=Φp·FP(·)+ΦPR·FPR(·)+ΦT·FT(·)+ΦVF·VFT(·)+ΦAu·FAu(·) +ΦA·FA(·)。
Wherein, Pcur、PRcurIt is what nearest measured value determined, and T, Δ T, AP, MP, AA, the variables such as MA, H are that basis is worked as Preceding various environmental factors are continually changing, therefore Δ is the amount of time change.Δ is calculated for each moment, when current Between last time measurement time point between poor ΔcurOne-shot measurement is carried out when greater than Δ, while updating Pcur、PRcurValue. Φp,ΦPR,ΦT,ΦVF,ΦAu,ΦAAccording to the empirical according to clinical experience or the acquisition of big data and individual survey, just Walking value is all 1.

Claims (10)

1. a kind of Dynamic blood pressure measure system, which is characterized in that include processor unit (2), the processor unit (2) is even Be connected to acquire ambient sound sound transducer (10), to measure environment temperature temperature sensor (9), to detect The acceleration transducer (8) of exercise intensity and the measuring unit of blood pressure to detect patients' blood (7)；And the processor list First (2) are also connected with communication module, display unit (5) and memory cell (4), further include that promising whole system provides electric power Power module (3)；The processor unit (2) is according to sound transducer (10), temperature sensor (9) and acceleration transducer (8) environmental information provided is calculated, and judges to control the operation range of the measuring unit of blood pressure (7), institute It states measuring unit of blood pressure (7) and sends the blood pressure information of measurement to processor unit (2).
2. the measuring system of ambulatory blood pressure according to claim 1, which is characterized in that the communication module is GPRS communication Module.
3. a kind of parameter control method of Dynamic blood pressure measure system described in claim 1-2 any one, it is characterised in that: really Surely predict that pressure value Pcur, processor unit judge to control the starting of blood pressure measurement module according to determining prediction pressure value Pcur The time interval Δ size of blood pressure measurement is carried out, time interval Δ specifically calculates according to the following formula:
Δ=Fh(H)+ΔstFall(FP(Pcur),FPR(PRcur),FT(T),VFT(ΔT),FAu(AP, MP), FA(AA, MA))；
Wherein:
ΔstIt is the standard time interval rule of thumb defined；
Fall() is a multi-variable function, according to variable FP(·)、FPR(·)、FT(·)、VFT(·)、FAu(·)、FA(·) Value calculated: Fall()=Φp·FP(·)+ΦPR·FPR(·)+ΦT·FT(·)+ΦVF·VFT(·)+ΦAu· FAu(·)+ΦA·FA(·)。
4. parameter control method according to claim 3, which is characterized in that it is described prediction pressure value Pcur determination be It is obtained according to recent blood pressure measurement, or prediction pressure value Pcur estimates current predicted value using autoregression model:
Wherein: akFor predetermined coefficient, PtkFor measured value；Specifically, Pt1Indicate the last measured value, Pt1Indicate second from the bottom Secondary measured value, and so on, PtkIndicate kth time measured value reciprocal；K is natural number.
5. parameter control method according to claim 3, which is characterized in that function FP(Pcur) calculate:
Wherein: TPIt is all preset constant with β.
6. parameter control method according to claim 3, which is characterized in that using the predicted value of AR model estimation pulse frequency PRcur:
Wherein: δkFor predetermined coefficient, PRtkFor measured value；Specifically, PRt1Indicate the last measured value, PRt1Indicate reciprocal the Secondary measurements, and so on, PRtkIndicate kth time measured value reciprocal, k is natural number；
Obtain PRcurLater, according to function FPR(PRcur) adjustment amount of the calculating to current time interval, FPRUsing such as giving a definition:
Wherein: TPRIt is all preset constant with ε.
7. parameter control method according to claim 3, which is characterized in that shadow of the absolute value of temperature to measurement interval Ring coefficient FT(T), wherein T is Current Temperatures, FT() is a function predetermined；
The suddenly change of temperature is VF to the influence coefficient at measurement intervalT(Δ T), Δ T are the variation of temperature at certain time intervals Value, VFT() is predefined Function Mapping relationship；
Here FT(T) and VFT(Δ T) all uses piecewise linear model:
θT, θΔT, TT, TΔTIt is all the empirical obtained according to clinical experience or big data and individual survey.
8. parameter control method according to claim 3, which is characterized in that sound is picked up by sound transducer, and Retain the average sound intensity AP and maximum sound intensity MP of a period of time as parameter and pre-defined function FAu(AP, MP):
FAu(AP, MP)=θmp·MP+AP
Wherein: θmpIt is predefined constant, is defined according to clinical experience or big data and individual survey.
9. parameter control method according to claim 3, which is characterized in that anti-by the measured value of acceleration transducer Exercise intensity is answered, acceleration average value AA and acceleration maximum value MA in record unit time；Function FA(AA, MA) characterization is worked as Preceding exercise intensity；When current exercise intensity is larger, patient is indicated in strenuous exercise, accident is taken blood pressure；FA(AA, MA) is as follows Definition:
FA(AA, MA)=θMA·MA+AA；
θMAIt is predefined constant, is defined according to clinical experience or big data and individual survey.
10. parameter control method according to claim 3, which is characterized in that be one according to 15 minutes in 24 hours Section, one 4 sections of hour, 96 sections of whole day 24 hours；Rule of thumb data generate 96 sections of tables of data, which the specific time is according to falling into The corresponding period serial number H of one segment record, tables look-up to obtain corresponding Fh(H) value.
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* Cited by examiner, † Cited by third party
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CN111657902A (en) * 2020-06-12 2020-09-15 南京耀宇医疗科技有限公司 Sphygmomanometer capable of intelligently screening environmental data and working method thereof
CN111657901A (en) * 2020-06-09 2020-09-15 南京耀宇医疗科技有限公司 Intelligent sphygmomanometer based on external environment monitoring and abnormal data elimination
CN112530532A (en) * 2020-11-11 2021-03-19 上海市疾病预防控制中心 Mass chronic disease data management system, method, terminal and medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101925328A (en) * 2008-01-23 2010-12-22 欧姆龙健康医疗事业株式会社 Blood pressure measuring device performing processing where variation in measuring environment is taken into consideration
CN103892811A (en) * 2014-01-22 2014-07-02 柳凌峰 Ambulatory blood pressure joint detection and analysis system
CN206641850U (en) * 2016-08-02 2017-11-17 深圳市捷美瑞医疗技术有限公司 A kind of electronic sphygmomanometer
CN107913059A (en) * 2016-10-09 2018-04-17 炬芯（珠海）科技有限公司 The method and its equipment of a kind of monitor heart rate

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101925328A (en) * 2008-01-23 2010-12-22 欧姆龙健康医疗事业株式会社 Blood pressure measuring device performing processing where variation in measuring environment is taken into consideration
CN103892811A (en) * 2014-01-22 2014-07-02 柳凌峰 Ambulatory blood pressure joint detection and analysis system
CN206641850U (en) * 2016-08-02 2017-11-17 深圳市捷美瑞医疗技术有限公司 A kind of electronic sphygmomanometer
CN107913059A (en) * 2016-10-09 2018-04-17 炬芯（珠海）科技有限公司 The method and its equipment of a kind of monitor heart rate

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111657901A (en) * 2020-06-09 2020-09-15 南京耀宇医疗科技有限公司 Intelligent sphygmomanometer based on external environment monitoring and abnormal data elimination
CN111657902A (en) * 2020-06-12 2020-09-15 南京耀宇医疗科技有限公司 Sphygmomanometer capable of intelligently screening environmental data and working method thereof
CN111657902B (en) * 2020-06-12 2022-12-23 深圳市奥极医疗科技有限公司 Sphygmomanometer capable of intelligently screening environmental data and working method thereof
CN112530532A (en) * 2020-11-11 2021-03-19 上海市疾病预防控制中心 Mass chronic disease data management system, method, terminal and medium

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