CN110522435A - A method of detection electronic sphygmomanometer cuff bundlees elasticity - Google Patents

A method of detection electronic sphygmomanometer cuff bundlees elasticity Download PDF

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Publication number
CN110522435A
CN110522435A CN201910912139.6A CN201910912139A CN110522435A CN 110522435 A CN110522435 A CN 110522435A CN 201910912139 A CN201910912139 A CN 201910912139A CN 110522435 A CN110522435 A CN 110522435A
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China
Prior art keywords
elasticity
cuff
curve
electronic sphygmomanometer
mean square
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CN201910912139.6A
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Inventor
于兴虎
贾译凇
洪源铎
潘慧慧
林伟阳
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Ningbo Intelligent Equipment Research Institute Co Ltd
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Ningbo Intelligent Equipment Research Institute Co Ltd
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Priority to CN201910912139.6A priority Critical patent/CN110522435A/en
Publication of CN110522435A publication Critical patent/CN110522435A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • A61B5/02141Details of apparatus construction, e.g. pump units or housings therefor, cuff pressurising systems, arrangements of fluid conduits or circuits
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • A61B5/022Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/02233Occluders specially adapted therefor
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • A61B5/022Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
    • A61B5/0225Measuring 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
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/683Means for maintaining contact with the body
    • A61B5/6831Straps, bands or harnesses
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6843Monitoring or controlling sensor contact pressure

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Cardiology (AREA)
  • Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Pathology (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Vascular Medicine (AREA)
  • Physiology (AREA)
  • Ophthalmology & Optometry (AREA)
  • Dentistry (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

A method of detection electronic sphygmomanometer cuff bundlees elasticity, it is related to a kind of method of inspection cuff binding elasticity, in order to which the method for measuring cuff binding elasticity at present generally requires the additional device of additional sensor, increase the problem of cost also hampers portability, steps are as follows: one, the cuff of electronic sphygmomanometer being tied up with, the controller of electronic sphygmomanometer provides signal, air pump is enabled to start to inflate, obtain the curve that air pressure changes over time, it is charged to 30kpa stopping, obtaining a complete gas pressure curve;Two, curve obtained in one is initial data, is filtered to curve obtained in one, is filtered on software using lowpass digital filter, obtains smooth gas pressure curve;Three, respectively using straight line, positive exponent function, negative exponential function to the smooth gas pressure curve polarity least square fitting obtained in two, three kinds of mean square errors are obtained;Four: comparing in three and be fitted obtained mean square error for three kinds, judge the elasticity of Inflatable cuff for blood pressure gauge binding.

Description

A method of detection electronic sphygmomanometer cuff bundlees elasticity
Technical field
The present invention relates to a kind of methods of inspection cuff binding elasticity, and in particular to a kind of detection electronic sphygmomanometer cuff The method for bundling elasticity, belongs to medical field.
Background technique
Electronic sphygmomanometer is widely used in the rough measure of blood pressure at present, and sphygmomanometer girding ties up the pine on arm Tightness has very big influence to blood pressure measurement, and bandage pine or tension excessively can all make measured value become inaccuracy, so It is very necessary for measuring to sphygmomanometer girding binding elasticity.The method of measurement cuff binding elasticity often needs at present The device for wanting additional sensor additional undoubtedly increases cost in this way and also hampers portability.
Summary of the invention
The present invention is that the method for solving measurement cuff binding elasticity at present generally requires the additional dress of additional sensor It sets, increases the problem of cost also hampers portability, and then propose that a kind of detection electronic sphygmomanometer cuff bundlees elasticity Method.
The technical solution adopted by the present invention to solve the above problem is as follows: step of the invention is as follows:
Step 1: the controller of electronic sphygmomanometer provides signal after the cuff of electronic sphygmomanometer is tied up with, gas is enabled Pump starts to inflate, and obtains the curve that air pressure changes over time, and is charged to 30kpa stopping, obtaining a complete gas pressure curve;
Step 2: curve obtained in step 1 is initial data, curve obtained in step 1 is filtered, is used Lowpass digital filter is filtered on software, obtains smooth gas pressure curve;
Step 3: respectively using straight line, positive exponent function, negative exponential function to the smooth gas pressure curve obtained in step 2 Polarity least square fitting obtains three kinds of mean square errors;
Step 4: obtained mean square error is fitted for three kinds in comparison step three, judges the elasticity of Inflatable cuff for blood pressure gauge binding.
Further, the fitting function form of least square fitting is carried out in step 3 to gas pressure curve using straight line are as follows:
F=At+B is 1.
1. middle F indicates air pressure to formula, and t is the time, and A, B indicate positive parameter to be fitted, find out A, B and mean square error.
Further, the fitting function shape of least square fitting is carried out in step 3 to gas pressure curve using positive exponent function Formula are as follows:
F=X+Ye(Zt)
2. middle F indicates air pressure to formula, and t indicates the time, and X, Y, Z indicate positive parameter to be fitted, out X, Y, Z and mean square error Difference.
Further, the fitting function shape of least square fitting is carried out in step 3 to gas pressure curve using negative exponential function Formula are as follows:
F=M-Ne(-Pt)
Formula 3. in F indicate air pressure, t indicates the time, and M, N, P indicate positive parameter to be fitted, find out M, N, P with it is square Error.
Further, if it is negative exponential function that mean square error is the smallest in step 4, elasticity is centainly too loose, it is necessary to Prompt user tightens;
If the smallest exponential function that is positive of mean square error, the numerical values recited for the Z that positive exponent Function Fitting goes out can be anti- Reflect the elasticity that cuff is tied up;Z is bigger, and elasticity is bigger, and Z is smaller, and elasticity is smaller, when next measuring measurement accuracy highest Z value is as standard value, when users use, if the Z value being calculated has big difference with standard value, according to the big mere suggestion of Z User ties up pine or tightens;
If the smallest mean square error is linear function, the numerical values recited for the A that straight line fitting goes out can reflect that cuff is tied up Elasticity;A is bigger, and elasticity is bigger, and A is smaller, and elasticity is smaller, next measures A value conduct when measurement accuracy highest Standard value if the A value being calculated has big difference with standard value, ties up pine according to the big mere suggestion user of A when users use Or it tightens.
The beneficial effects of the present invention are: the present invention judges the elasticity of sphygmomanometer girding using this method, general Without increasing other sensors on the basis of logical sphygmomanometer.Using the pressure curve of revised gas replenishment process, us are utilized Algorithm judge the elasticity of cuff, algorithm wide adaptability, it is contemplated that various situations, identify pine excessively that cuff is tied up or The case where tension, keeps elasticity suitable to prompt user, and then keeps electronic sphygmomanometer measurement result more acurrate.
Detailed description of the invention
Fig. 1 is flow diagram of the invention;
Fig. 2 is air pressure time history plot before filtering;
Fig. 3 is air pressure time history plot after low-pass filtering;
Fig. 4 is the effect diagram after smooth gas pressure curve straight line fitting, and wherein square mean error amount is 1.7921;
Fig. 5 is the effect diagram after smooth gas pressure curve positive exponent Function Fitting, and wherein square mean error amount is 0.6211;
Fig. 6 is the effect diagram after smooth gas pressure curve models of negative index functions, and wherein square mean error amount is 1.8021.
Specific embodiment
Specific embodiment 1: illustrating present embodiment, a kind of detection electronics described in present embodiment in conjunction with Fig. 1 to Fig. 6 The method of sphygmomanometer girding binding elasticity is achieved by the steps of:
Step 1: the controller of electronic sphygmomanometer provides signal after the cuff of electronic sphygmomanometer is tied up with, gas is enabled Pump starts to inflate, and obtains the curve that air pressure changes over time, and is charged to 30kpa stopping, obtaining a complete gas pressure curve;
Step 2: curve obtained in step 1 is initial data, curve obtained in step 1 is filtered, is used Lowpass digital filter is filtered on software, obtains smooth gas pressure curve;
Step 3: respectively using straight line, positive exponent function, negative exponential function to the smooth gas pressure curve obtained in step 2 Polarity least square fitting obtains three kinds of mean square errors;
Step 4: obtained mean square error is fitted for three kinds in comparison step three, judges the elasticity of Inflatable cuff for blood pressure gauge binding.
Specific embodiment 2: illustrating present embodiment, a kind of detection electronics described in present embodiment in conjunction with Fig. 1 to Fig. 6 Sphygmomanometer girding bundlees the fitting for carrying out least square fitting in the step of method of elasticity three to gas pressure curve using straight line Functional form are as follows:
F=At+B is 1.
1. middle F indicates air pressure to formula, and t is the time, and A, B indicate positive parameter to be fitted, find out A, B and mean square error.
Specific embodiment 3: illustrating present embodiment, a kind of detection electronics described in present embodiment in conjunction with Fig. 1 to Fig. 6 Sphygmomanometer girding bundlees in the step of method of elasticity three and carries out least square fitting to gas pressure curve using positive exponent function Fitting function form are as follows:
F=X+Ye(Zt)
2. middle F indicates air pressure to formula, and t indicates the time, and X, Y, Z indicate positive parameter to be fitted, out X, Y, Z and mean square error Difference.
Specific embodiment 4: illustrating present embodiment, a kind of detection electronics described in present embodiment in conjunction with Fig. 1 to Fig. 6 Sphygmomanometer girding bundlees in the step of method of elasticity three and carries out least square fitting to gas pressure curve using negative exponential function Fitting function form are as follows:
F=M-Ne(-Pt)
Formula 3. in F indicate air pressure, t indicates the time, and M, N, P indicate positive parameter to be fitted, find out M, N, P with it is square Error.
Specific embodiment 5: illustrating present embodiment, a kind of detection electronics described in present embodiment in conjunction with Fig. 1 to Fig. 6 If it is negative exponential function that it is the smallest, which to bundle mean square error in the step of method of elasticity four, for sphygmomanometer girding, elasticity is certain It is too loose, it is necessary to user be prompted to tighten;
If the smallest exponential function that is positive of mean square error, the numerical values recited for the Z that positive exponent Function Fitting goes out can be anti- Reflect the elasticity that cuff is tied up;Z is bigger, and elasticity is bigger, and Z is smaller, and elasticity is smaller, when next measuring measurement accuracy highest Z value is as standard value, when users use, if the Z value being calculated has big difference with standard value, according to the big mere suggestion of Z User ties up pine or tightens;
If the smallest mean square error is linear function, the numerical values recited for the A that straight line fitting goes out can reflect that cuff is tied up Elasticity;A is bigger, and elasticity is bigger, and A is smaller, and elasticity is smaller, next measures A value conduct when measurement accuracy highest Standard value if the A value being calculated has big difference with standard value, ties up pine according to the big mere suggestion user of A when users use Or it tightens.
The above described is only a preferred embodiment of the present invention, be not intended to limit the present invention in any form, though So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention, any technology people for being familiar with this profession Member, without departing from the scope of the present invention, when the technology contents using the disclosure above are modified or are modified For the equivalent embodiment of equivalent variations, but without departing from the technical solutions of the present invention, according to the technical essence of the invention, In Within the spirit and principles in the present invention, any simple modifications, equivalent substitutions and improvements to the above embodiments etc., still Belong within the protection scope of technical solution of the present invention.

Claims (5)

1. a kind of method of detection electronic sphygmomanometer cuff binding elasticity, it is characterised in that: a kind of detection electronic blood pressure The method of meter cuff binding elasticity is achieved by the steps of:
Step 1: the controller of electronic sphygmomanometer provides signal after the cuff of electronic sphygmomanometer is tied up with, air pump is enabled to open Begin to inflate, obtain the curve that air pressure changes over time, is charged to 30kpa stopping, obtaining a complete gas pressure curve;
Step 2: curve obtained in step 1 is initial data, curve obtained in step 1 is filtered, low pass is used Digital filter is filtered on software, obtains smooth gas pressure curve;
Step 3: respectively using straight line, positive exponent function, negative exponential function to the smooth gas pressure curve polarity obtained in step 2 Least square fitting obtains three kinds of mean square errors;
Step 4: obtained mean square error is fitted for three kinds in comparison step three, judges the elasticity of Inflatable cuff for blood pressure gauge binding.
2. a kind of method of detection electronic sphygmomanometer cuff binding elasticity according to claim 1, it is characterised in that: step Carry out the fitting function form of least square fitting in three to gas pressure curve using straight line are as follows:
F=At+B is 1.
1. middle F indicates air pressure to formula, and t is the time, and A, B indicate positive parameter to be fitted, find out A, B and mean square error.
3. a kind of method of detection electronic sphygmomanometer cuff binding elasticity according to claim 1, it is characterised in that: step Carry out the fitting function form of least square fitting in three to gas pressure curve using positive exponent function are as follows:
F=X+Ye(Zt)
2. middle F indicates air pressure to formula, and t indicates the time, and X, Y, Z indicate positive parameter to be fitted, out X, Y, Z and mean square error.
4. a kind of method of detection electronic sphygmomanometer cuff binding elasticity according to claim 1, it is characterised in that: step Carry out the fitting function form of least square fitting in three to gas pressure curve using negative exponential function are as follows:
F=M-Ne(-Pt)
3. middle F indicates air pressure to formula, and t indicates the time, and M, N, P indicate positive parameter to be fitted, find out M, N, P and mean square error Difference.
5. a kind of method of detection electronic sphygmomanometer cuff binding elasticity according to claim 1, it is characterised in that: step If it is negative exponential function that mean square error is the smallest in four, elasticity is centainly too loose, it is necessary to user be prompted to tighten;
If the smallest exponential function that is positive of mean square error, the numerical values recited for the Z that positive exponent Function Fitting goes out can reflect sleeve The elasticity that band is tied up;Z is bigger, and elasticity is bigger, and Z is smaller, and elasticity is smaller, next measures Z value when measurement accuracy highest As standard value, when users use, if the Z value being calculated has big difference with standard value, according to the big mere suggestion user of Z It ties up pine or tightens;
If the smallest mean square error is linear function, the numerical values recited for the A that straight line fitting goes out can reflect the pine that cuff is tied up Tightness;A is bigger, and elasticity is bigger, and A is smaller, and elasticity is smaller, and A value when next measuring measurement accuracy highest is as standard Value, when users use, if the A value being calculated has big difference with standard value, ties up pine according to the big mere suggestion user of A or ties up Tightly.
CN201910912139.6A 2019-09-25 2019-09-25 A method of detection electronic sphygmomanometer cuff bundlees elasticity Pending CN110522435A (en)

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CN112842304A (en) * 2021-01-19 2021-05-28 微医佰康(福建)医疗科技有限公司 Data processing method and device, electronic equipment and storage medium
CN113331807A (en) * 2021-06-02 2021-09-03 华北理工大学 Portable blood pressure detector
CN113520307A (en) * 2020-04-20 2021-10-22 华为技术有限公司 Blood pressure measuring method and device and wearable equipment

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CN113331807A (en) * 2021-06-02 2021-09-03 华北理工大学 Portable blood pressure detector
CN113331807B (en) * 2021-06-02 2023-07-28 华北理工大学 Portable blood pressure detector

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