阅读说明：本技术 一种检测电子血压计袖带捆绑松紧度的方法 (A method of detection electronic sphygmomanometer cuff bundlees elasticity ) 是由 于兴虎 贾译凇 洪源铎 潘慧慧 林伟阳 于 2019-09-25 设计创作，主要内容包括：一种检测电子血压计袖带捆绑松紧度的方法,涉及一种检查袖带捆绑松紧度的方法,为了目前测量袖带捆绑松紧度的方法往往需要额外的传感器额外的装置,增加了成本也妨碍了便携性的问题,步骤如下：一、把电子血压计的袖带绑在身上,电子血压计的控制器给出信号,令气泵开始充气,得到气压随时间变化的曲线,充到30kpa停止,得到一条完整的气压曲线；二、一中得到的曲线为原始数据,对一中得到的曲线进行滤波,使用低通数字滤波器在软件上进行滤波,得到光滑气压曲线；三、分别使用直线、正指数函数、负指数函数对二中获得的光滑气压曲线极性最小二乘拟合,获得三种均方误差；四：比较三中三种拟合得到的均方误差,判断血压计绑带捆绑的松紧度。(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.)

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

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

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.

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

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) ③

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