CN104665794A - Method for correcting blood pressure detection signal and blood pressure detection device - Google Patents
Method for correcting blood pressure detection signal and blood pressure detection device Download PDFInfo
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- 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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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
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Abstract
The invention discloses a method for correcting a blood pressure detection signal. The method comprises the steps of determining posture information and movement state information of a user according to data outputted by a three-axis accelerometer; correcting the pressure wave data outputted by a pressure sensor according to the posture information and the movement state information. According to the method, the pressure wave data measured by the pressure sensor are corrected according to the movement condition, thus the interference of the movement of the user to the blood pressure detection can be avoided, and as a result, the blood pressure detection signal can be accurate. The invention further discloses a blood pressure detection device.
Description
Technical field
The present invention relates to blood pressure detecting field, particularly relate to a kind of blood pressure detecting signal correction method and a kind of blood pressure detector.
Background technology
Systemic arterial blood pressure is called for short blood pressure (Blood Pressure, BP), is the pressure of blood vasoactive wall when intravascular flow, and it promotes the power of blood at intravascular flow.When health generation illness, can on blood pressure generation impact to a certain degree.Therefore, blood pressure is wearer's important parameter, clinical significant.
The method of blood pressure measurement has two kinds, and one has wound to measure (Invasive Blood Pressure, IBP), conduit inserted Ink vessel transfusing and obtain pressure value; One is non-invasive measurement (Non-Invasive Blood Pressure, NIBP), by pressure waves measurement blood pressure.Usually require that the upper arm that patient measures is placed on heart level when carrying out non-invasive measurement, can get seat, clinostatism and erect position, and in whole blood pressure measurement, tested person must keep health static, calmly, otherwise all can affect correctness and the concordance of measurement result.
During patient's blood pressure self-monitoring, be sometimes difficult to ensure that health is static, the pressure value be diagnosed is inaccurate; And according to the demand to patient monitoring, also cannot ensure that patient keeps health static when carrying out ambulatory blood pressure monitoring to patient, pressure value during movement of patient and time static differs greatly, and the pressure value therefore measured also is difficult to as effective diagnosis basis.
Summary of the invention
Based on this, be necessary cannot ensure that the static measurement result that causes of patient body is inaccurate for during measurement patient's blood pressure, or because the problem that patient body attitude and kinestate cause the pressure value measured and be difficult to as diagnosis basis cannot be known, provide a kind of blood pressure detecting signal correction method revising blood pressure detecting signal in blood pressure detecting process.
Meanwhile, a kind of blood pressure detector is also provided.
A kind of blood pressure detecting signal correction method, for carrying out revising blood pressure detecting signal in blood pressure detecting process at use sphygomanometer, described sphygomanometer comprises pressure transducer and three axis accelerometer, comprises the steps:
Obtain the X-axis of described three axis accelerometer output and the data of Y-axis, the vertical direction when Y-axis sensing wearer of described three axis accelerometer is upright;
The attitude information of the described X-axis exported by described three axis accelerometer and the data acquisition wearer of described Y-axis and movement state information;
The pressure wave data that pressure transducer exports according to described movement state information correction.
Wherein in an embodiment, described in the data acquisition of the described described X-axis that exported by described three axis accelerometer and described Y-axis, the step of the attitude information of wearer specifically comprises the steps:
Respectively the first low-pass filtering is carried out to the data of described Y-axis, the electrical noise in Y-axis data described in filtering;
Second low-pass filtering is carried out to the described Y-axis data after described first low-pass filtering, the motor fluctuation information in the data of Y-axis described in filtering, obtain the corresponding steady state data of described Y-axis;
The steady state data of Y-axis described in the scheduled time is carried out adding up and obtains the meansigma methods after adding up;
Judge described meansigma methods whether couching in threshold range;
If so, then the attitude information of described wearer is obtained for couching;
If not, then the attitude information obtaining described wearer is that upper body is upright.
Wherein in an embodiment, the step of the movement state information of the data acquisition wearer of the described described X-axis that exported by three axis accelerometer and described Y-axis is specifically comprised the steps:
Respectively low-pass filtering is carried out to the data of described X-axis and described Y-axis;
Respectively high-pass filtering is carried out to the described X-axis after described low-pass filtering and described Y-axis data, obtains described X-axis and the corresponding motor fluctuation information of described Y-axis respectively;
Corresponding motor fluctuation information according to described X-axis and described Y-axis calculates exercise index, and described exercise index is wearer's movement degree value;
Judge whether described exercise index is less than exercise index threshold value;
If so, then it is static for obtaining wearer's movement state information;
If not, then wearer's movement state information is obtained for motion.
Wherein in an embodiment, the described step calculating described exercise index according to the corresponding motor fluctuation information of X-axis and described Y-axis specifically comprises the steps:
X-axis in the calculating scheduled time and the undulating value difference of two squares of Y-axis add up M1, M1=(X
d1+ Y
d1) A, wherein X
d1for within the described scheduled time, X-axis exports the mean square deviation of data, Y
d1for Y-axis during blood pressure measurement exports the mean square deviation of data, A is variance weight;
During calculating blood pressure measurement, the undulating value absolute value of X-axis and Y-axis adds up M2, M2=(X
d2+ Y
d2) B, wherein X
d2for X-axis during blood pressure measurement exports the absolute deviation meansigma methods of data, Y
d2for Y-axis during blood pressure measurement exports the absolute deviation meansigma methods of data, B is deviation weight;
Calculate described exercise index M, M=M1+M2, wherein A+B=1.
Wherein in an embodiment, after described acquisition wearer movement state information is the step of motion, also comprises and judge that whether motion is the step of strenuous exercise, specifically comprise the steps:
Obtain the comprehensive acceleration wave of described X-axis and described Y-axis, described comprehensive acceleration wave is that the waveform of the Acceleration pulse of the data variation described X-axis exported and the data variation of described Y-axis output superposes;
Judge whether the amplitude change of described comprehensive acceleration wave is greater than strenuous exercise's threshold value;
If so, then judge that wearer's kinestate is strenuous exercise;
If not, then judge that wearer's kinestate is light exercise.
Wherein in an embodiment, the step of the described pressure wave data that pressure transducer exports according to movement state information correction comprises:
When described wearer's kinestate is static and strenuous exercise, the described pressure wave data that described pressure transducer exports are not revised;
When described wearer's kinestate is light exercise, the described pressure wave data that described pressure transducer exports are revised.
Wherein in an embodiment, described when wearer's kinestate is light exercise, the step that the described pressure wave data exported described pressure transducer are revised specifically comprises the steps:
By the corresponding pressure pulse wave of described pressure wave data acquisition;
Calculate each crest value and the trough value of described pressure pulse wave one by one;
Calculate each crest value and the trough value of described comprehensive acceleration wave one by one;
The dynamic amplification of described comprehensive acceleration wave is calculated according to each crest value of described pressure pulse wave and each crest value of trough value and described comprehensive acceleration wave and trough value;
According to described dynamic amplification, described comprehensive acceleration wave is amplified;
Described pressure pulse wave is deducted the described comprehensive acceleration wave after amplification, obtain approximate vascular pressure pulse wave.
A kind of blood pressure detector, comprise microcontroller, pressure transducer and three axis accelerometer, described pressure transducer is connected described microcontroller respectively with described three axis accelerometer; Described microcontroller is for performing blood pressure data calculation procedure, and described blood pressure data calculation procedure comprises correcting module and main control module;
Vertical direction when the Y-axis sensing wearer of described three axis accelerometer is upright;
Described microcontroller receives the pressure wave data that the X-axis of described three axis accelerometer output and the data of Y-axis and described pressure transducer export;
The data of the X-axis that described correcting module exports according to described three axis accelerometer and Y-axis calculate attitude information and the movement state information of corresponding wearer, and the pressure wave data that pressure transducer exports according to described movement state information correction;
Described main control module calculates wearer's blood pressure data according to the attitude information of described wearer and described revised pressure wave data.
Wherein in an embodiment, described correcting module comprises:
Attitude acquiring unit, the data for the described Y-axis exported by described three axis accelerometer calculate the attitude information of wearer;
Kinestate acquiring unit, the data for the described X-axis that exported by described three axis accelerometer and described Y-axis calculate the movement state information of wearer;
Amending unit, for the pressure wave data that pressure transducer according to described movement state information correction exports.
Wherein in an embodiment, described three axis accelerometer comprises:
Three axis accelerometer unit, for obtaining the data of X-axis and Y-axis;
First low-pass filter unit, connects described three axis accelerometer unit, for carrying out the first low-pass filtering respectively to the data of described X-axis and described Y-axis, the electrical noise in the data of X-axis described in filtering and described Y-axis;
Second low-pass filter unit, connects described first low-pass filter unit, for the motor fluctuation information in the data of the described Y-axis after the first low-pass filtering described in filtering, obtains the corresponding steady state data of described Y-axis;
Described attitude acquiring unit obtains the corresponding steady state data of described Y-axis and calculates the attitude information of described wearer according to described steady state data and the attitude information of described wearer is transferred to described main control module.
Wherein in an embodiment, described three axis accelerometer also comprises:
High pass filter unit, connect described first low-pass filter unit and described microcontroller, for carrying out high-pass filtering respectively to the data of the described X-axis after described first low-pass filtering and described Y-axis, obtain described X-axis and the corresponding motor fluctuation information of described Y-axis respectively, and give described microcontroller by described motor fluctuation information transmission;
Described kinestate acquiring unit obtains and calculates the movement state information of described wearer according to described motor fluctuation information and the movement state information of described wearer is transferred to described main control module.
Wherein in an embodiment, described amending unit comprises:
Primary peak, trough computing unit, for calculating described main control module one by one according to each crest value of the pressure pulse wave of described pressure wave data acquisition and trough value;
Secondary peak, trough computing unit, for calculating the X-axis and the X-axis of data acquisition of Y-axis and each crest value of the comprehensive acceleration wave of Y-axis and trough value that described main control module exports according to described three axis accelerometer one by one;
Amplify amending unit, for the dynamic amplification according to each crest value of described pressure pulse wave and each crest value of trough value and described comprehensive acceleration wave and the described comprehensive acceleration wave of trough value calculating, according to described dynamic amplification, described comprehensive acceleration wave is amplified, calculate approximate vascular pressure pulse wave according to the comprehensive acceleration wave after described pressure pulse wave and described amplification, and described approximate vascular pressure pulse wave is transferred to described main control module.
Wherein in an embodiment, also comprise quantity of motion detector, connect described microcontroller, for detecting wearer's quantity of motion.
Above-mentioned blood pressure detecting signal correction method and vessel detector, the data exported by three axis accelerometer are judged the attitude information of wearer and movement state information, the pressure wave data that microcontroller is exported by above-mentioned attitude information and movement state information correction pressure transducer, and pass through the blood pressure of above-mentioned revised pressure wave data acquisition wearer.By posture and the movement state information of wearer, auxiliary detection also judges the blood pressure of wearer, avoid and do not knowing to diagnose out under wearer's posture the situation of inaccurate pressure value to occur, and by revising the pressure wave data that pressure transducer records when motion conditions, avoid wearer to move the interference brought blood pressure detecting, make blood pressure detecting signal more accurate; Measure the posture of wearer and kinestate by means of only three axis accelerometer, save cost, simplify the circuit design of blood pressure detector, save the power consumption of blood pressure monitoring device and extend service time of blood pressure monitoring device.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of the blood pressure detector of an embodiment;
Fig. 2 is the schematic diagram that three axis accelerometer 130 embodiment illustrated in fig. 1 is affixed on the PCB 120 of blood pressure detector 100;
Fig. 3 is the schematic diagram of the blood pressure detector of another embodiment;
Fig. 4 is the blood pressure detecting signal correction of an embodiment and the flow chart of blood pressure detecting method;
Fig. 5 is the flow chart of step S140 embodiment illustrated in fig. 4;
Fig. 6 is the flow chart of step S142 embodiment illustrated in fig. 5;
Fig. 7 is the flow chart of step S144 embodiment illustrated in fig. 5;
Fig. 8 is the flow chart of step S160 embodiment illustrated in fig. 4;
Fig. 9 is the flow chart of step S180 embodiment illustrated in fig. 4.
Detailed description of the invention
A kind of blood pressure detector and a kind of blood pressure detecting signal correction and blood pressure detecting method, the data exported by three axis accelerometer are judged the attitude information of wearer and movement state information, and by above-mentioned wearer's attitude information and movement state information, blood pressure detecting signal is revised, by the blood pressure of revised blood pressure detecting signal detection wearer.Wherein, above-mentioned blood pressure detecting signal refers to the pressure wave data that pressure transducer exports.By attitude information and the movement state information of wearer, auxiliary detection also judges the blood pressure of wearer, avoids and is not knowing to diagnose out under wearer's posture the situation of inaccurate pressure value to occur; And by judging the kinestate of wearer, the ambulatory blood pressure measuring patient is very helpful.By differentiating the kinestate of wearer, the pressure wave data that pressure transducer records being revised, avoiding wearer and to move the interference that blood pressure detecting is brought, making blood pressure detecting signal more accurate.Measure the posture of wearer and kinestate by means of only three axis accelerometer, save cost, simplify the circuit design of blood pressure detector, save the power consumption of blood pressure monitoring device and extend service time of blood pressure monitoring device.And, at measurement wearer blood pressure simultaneously, detection record is carried out to the quantity of motion of wearer, carry out in the quantity of motion evaluation process of medication effect, non-drug therapy in blood pressure detecting, drug treatment at use ambulatory blood pressure, carry out comprehensive assessment in conjunction with wearer's quantity of motion and the blood pressure detected, make Evaluated effect more accurate.
Below in conjunction with drawings and Examples, a kind of blood pressure detector and a kind of blood pressure detecting signal correction and blood pressure detecting method are further elaborated.
Shown in Fig. 1, it is the schematic diagram of the blood pressure detector of an embodiment.With reference to figure 1, a kind of blood pressure detector 100, comprise pressure transducer 110, three axis accelerometer 130 and microcontroller 150, pressure transducer 110 and three axis accelerometer 130 are connected above-mentioned microcontroller 150 respectively, and above-mentioned three axis accelerometer 130 and microcontroller 150 are affixed in PCB 120 respectively.Wherein, microcontroller 150 is for performing blood pressure data calculation procedure, and blood pressure data calculation procedure comprises correcting module 152 and main control module 154.Wherein, above-mentioned blood pressure detector 100 also comprises inflator pump (not shown) and electromagnetic release valve (not shown).
With reference to figure 2, three axis accelerometer 130 is affixed in the PCB 120 of blood pressure detector 100, the X-axis of three axis accelerometer 130 and Y direction.In use, the PCB 120 of blood pressure detector 100 is affixed on arm or wearer's body surface, and Y direction is configured to point to wearer upright time vertical direction, X-direction be configured to point to wearer upright time horizontal direction.Even if when wearer is for couching or being in other postures, when the relative position of above-mentioned three axis accelerometer 130 and wearer is also upright with wearer, three axis accelerometer 130 is consistent with the relative position of wearer.The output of three axis accelerometer 130 is integers relevant with assembly direction, and the direction that wherein negative number representation is contrary with place direction of principal axis, positive number represents positive direction.
Microcontroller 150 receives the pressure wave data that the X-axis of three axis accelerometer 130 output and the data of Y-axis and pressure transducer 110 export, the data of the X-axis that correcting module 152 exports according to three axis accelerometer 130 and Y-axis obtain corresponding wearer's attitude information and movement state information respectively, when above-mentioned movement state information is light exercise, the pressure wave data that pressure transducer 110 exports are revised, and obtain revised approximate vascular pressure pulse wave, main control module 154 obtains wearer's blood pressure data according to above-mentioned attitude information and approximate vascular pressure pulse wave, when above-mentioned movement state information is strenuous exercise, directly stops or suspending blood pressure measurement.
By attitude information and the movement state information of wearer, auxiliary detection also calculates the blood pressure of wearer, avoid and diagnose out when not knowing wearer's posture the situation of inaccurate pressure value to occur, and by judging the kinestate of wearer, the ambulatory blood pressure measuring patient is very helpful.Above-mentioned blood pressure detector 100 can measure attitude information and the movement state information of wearer by means of only three axis accelerometer 130, saves production cost, simplifies the circuit design of blood pressure detector 100, decrease the power consumption of blood pressure detector 100 and extend service time of blood pressure detector 100.And above-mentioned correcting module 152 is revised the blood pressure detecting signal recorded when wearer's light exercise, namely suppresses the interference produced under light exercise, make the blood pressure signal that records more accurate.
Shown in Fig. 3, it is the schematic diagram of the blood pressure detector 100 of another embodiment.
With reference to figure 3, above-mentioned correcting module 152 comprises attitude acquiring unit 1522, kinestate acquiring unit 1524 and amending unit 1526.The data of the Y-axis that attitude acquiring unit 1522 is exported by three axis accelerometer 130 calculate the attitude information of wearer, the data of the X-axis that kinestate acquiring unit 1524 is exported by three axis accelerometer 130 and Y-axis calculate the movement state information of wearer, described movement state information is static, strenuous exercise or light exercise, the pressure wave data that amending unit 1526 exports according to above-mentioned attitude information and movement state information correction pressure transducer 110.
Wherein, the data of the Y-axis that attitude acquiring unit 1522 is exported by three axis accelerometer 130 calculate the attitude information of wearer, meansigma methods after the steady state data that the steady state data of the Y-axis exported for utilizing three axis accelerometer 130 obtains Y-axis adds up, and judge above-mentioned meansigma methods whether couch namely judge above-mentioned Y-axis in threshold range slant range whether couching in slant range, if so, then represent that wearer is in the state of couching; If not, then represent that wearer is in upper body erectility.Concrete, the steady-state value of above-mentioned Y-axis represents the space vector with acceleration of gravity vector correlation.
Blood pressure detector 100 is fixed on the arm of wearer, when wearer is upright, up and down before and after arm, can do identical motion with blood pressure detector 100; Wearer standing, sitting posture time, arm fundamental sum trunk keeping parallelism, belongs to upper body erectility; Under this two states, in the test process of reality, all allow arm and trunk to keep the angle of α, be less than α angle, judge that health is upright as upper body; Be greater than α angle, then represent lying position, this is equivalent to blood pressure detector 100 and there occurs rotation in certain dimension.As the case may be, the span of above-mentioned α is 10 degree of-45 degree.In the present embodiment, above-mentioned α is 30 degree, within namely Y-axis rotates 30 degree of angles, represents that wearer is in upper body erectility.
The data that three axis accelerometer 130 exports are the data relevant to the installation direction of blood pressure detector 100, wherein negative number representation and place axle are just in the opposite direction, positive number represents the direction identical with place axle forward, and its size of data represents the angle that place axle rotates.Concrete, the data that above-mentioned three axis accelerometer 130 exports are normalization data, and wherein, normalization scope can be [-128,127].In other examples, above-mentioned normalization data also can be other normalization scopes.
The corresponding normalized data that the extreme value of the above-mentioned threshold range that couches exports when being Y-axis inclined angle alpha, with normalization scope for [-128,127] be example, the above-mentioned threshold range that couches is for (floor(-127*cos (-α)-0.5), floor(127*cos (α)+0.5)), wherein floor function is downward bracket function.In the present embodiment, when representing when above-mentioned α angle is 30 degree of angles within Y-axis rotation 30 degree, the attitude information of wearer is upright, otherwise, for couching.Concrete, when the data normalization that above-mentioned three axis accelerometer 130 is exported to [-128,127] time, the above-mentioned threshold range that couches is [-110,109].Wherein, the steady state data of Y-axis is pulsation-free stable pressure data.
Wherein, the data of the X-axis that kinestate acquiring unit 1524 is exported by three axis accelerometer 130 and Y-axis calculate the movement state information of wearer, and above-mentioned movement state information is static, strenuous exercise or light exercise.Be specially, the motor fluctuation information of the X-axis that kinestate acquiring unit 1524 exports according to three axis accelerometer 130 and Y-axis calculates exercise index, above-mentioned exercise index is wearer's movement degree value, then kinestate acquiring unit 1524 judges whether above-mentioned exercise index is less than exercise index threshold value, if so, then it is static for obtaining wearer's movement state information further; If not, then wearer's movement state information is obtained for motion.Kinestate acquiring unit 1524 continues the comprehensive acceleration wave obtaining X-axis and Y-axis, above-mentioned comprehensive acceleration wave refers to the comprehensive acceleration wave of the superimposed formation of acceleration wave of the acceleration wave of the data variation that X-axis exports and the data variation of Y-axis output, judge whether the amplitude change of comprehensive acceleration wave is greater than strenuous exercise's threshold value, if the amplitude change of comprehensive acceleration wave is greater than strenuous exercise's threshold value, then judge that wearer's kinestate is strenuous exercise, now directly stop or suspending blood pressure detecting.If the amplitude change of comprehensive acceleration wave is not more than strenuous exercise's threshold value, then judge that wearer's kinestate is light exercise, then the pressure wave data continued above-mentioned pressure transducer 110 exports by amending unit 1526 are revised.
By attitude information and the movement state information of wearer, auxiliary detection also judges the blood pressure of wearer, avoid and diagnose out when not knowing wearer's posture the situation of inaccurate pressure value to occur, revised by the pressure wave data exported above-mentioned pressure transducer 110, make wearer's blood pressure of detection more accurate.
With reference to figure 3, the 3-axis acceleration that above-mentioned three axis accelerometer 130 comprises connection calculates unit 132, first low-pass filter unit 134 and the second low-pass filter unit 136.Above-mentioned second low-pass filter unit 136 connects above-mentioned microcontroller 150.The data of X-axis and Y-axis that the first low-pass filter unit 134 pairs 3-axis acceleration calculates unit 132 output carry out the first low-pass filtering, the electrical noise that the vibrations of filtering inflator pump (not shown) produce and other high-frequency noises.Motor fluctuation information in Y-axis data after second low-pass filter unit 134 filtering first low-pass filtering, obtains the corresponding steady state data of Y-axis.Attitude acquiring unit 1522 obtains and calculates the attitude information of wearer according to the corresponding steady state data of above-mentioned Y-axis and the attitude information of wearer is transferred to main control module 154.
Further, above-mentioned three axis accelerometer 130 also comprises high pass filter unit 138, for obtaining motor fluctuation information.High pass filter unit 138 connects above-mentioned first low-pass filter unit 134 and microcontroller 150 respectively.The data of high pass filter unit 138 to the X-axis after the first low-pass filtering and Y-axis carry out high-pass filtering respectively, obtain X-axis and the corresponding motor fluctuation information of Y-axis respectively.Kinestate acquiring unit 1524 obtains and calculates the movement state information of wearer according to above-mentioned motor fluctuation information, and the movement state information of wearer is transferred to main control module 154.
With reference to figure 3, above-mentioned amending unit 1526 comprises primary peak, trough computing unit 15262, secondary peak, trough computing unit 15264 and amplifies amending unit 15266.Primary peak, trough computing unit 15262 obtain the pressure pulse wave of main control module 154 according to pressure wave data acquisition, and each crest value of calculating pressure pulse wave and trough value one by one.Secondary peak, trough computing unit 15264 calculate the X-axis and the X-axis of data acquisition of Y-axis and each crest value of the comprehensive acceleration wave of Y-axis and trough value that main control module 154 exports according to three axis accelerometer 130 one by one.
The comprehensive acceleration wave of above-mentioned X-axis and Y-axis refers to the comprehensive acceleration wave of the superimposed formation of acceleration wave of the acceleration wave of the data variation that X-axis exports and the data variation of Y-axis output.Amplify amending unit 15266 calculates comprehensive acceleration wave dynamic amplification according to each crest value of each crest value of pressure pulse wave and trough value and comprehensive acceleration wave and trough value, and according to dynamic amplification, comprehensive acceleration wave is amplified.Afterwards, amplify amending unit 15266 and calculate approximate vascular pressure pulse wave according to pressure pulse wave and the comprehensive acceleration wave after amplifying, and approximate vascular pressure pulse wave is transferred to main control module 154, main control module 154 detects the blood pressure of wearer according to above-mentioned approximate vascular pressure pulse wave.
With reference to figure 3, above-mentioned blood pressure data calculation procedure comprises normalization module 156 further.The data of the X-axis that three axis accelerometer in the scheduled time 130 exports by above-mentioned normalization module 156 and Y-axis are normalized, and the data of the X-axis after normalized and Y-axis are transferred to main control module 154.Concrete, the X-axis that above-mentioned three axis accelerometer 130 can be exported and the data normalization of Y-axis are [-128,127].In other examples, above-mentioned normalization data also can be other normalization scopes.
With reference to figure 3, above-mentioned blood pressure detector 100 comprises the quantity of motion detector 170 connecting microcontroller 150 further, for detecting wearer's quantity of motion.At measurement wearer blood pressure simultaneously, the quantity of motion of above-mentioned quantity of motion detector 170 couples of wearers carries out detection record, in the quantity of motion evaluation process using medication effect, non-drug therapy in Circadian blood pressure profile blood pressure, drug treatment, carry out comprehensive assessment in conjunction with wearer's quantity of motion and the blood pressure detected, make Evaluated effect more accurate.In addition, the microcontroller 150 quantity of motion correction pressure wave data of wearer that can also detect according to quantity of motion detector 170.
Shown in Fig. 4, be blood pressure detecting signal correction and the blood pressure detecting method of an embodiment, for carrying out revising and the further method flow diagram detecting wearer's blood pressure to blood pressure detecting signal by detection wearer's attitude information and movement state information when being carried out blood pressure detecting by above-mentioned blood pressure detector 100.
A kind of blood pressure detecting signal correction and blood pressure detecting method, comprise the steps:
Step S120: obtain the X-axis of three axis accelerometer output and the data of Y-axis, vertical direction when wherein the Y direction sensing wearer of three axis accelerometer 130 is upright.
Three axis accelerometer 130 is affixed in the PCB 120 of blood pressure detector 100, the X-axis of three axis accelerometer 130 and Y direction (with reference to figure 2).In use, the PCB 120 of blood pressure detector 100 is affixed on arm or wearer's body surface, and Y direction is configured to point to wearer upright time vertical direction, X-direction be configured to wearer upright time horizontal direction.Even if wearer is for couching or being in other postures, when the relative position of above-mentioned three axis accelerometer 130 and wearer is also upright with wearer, three axis accelerometer 130 is consistent with the relative position of wearer.The output of three axis accelerometer 130 is integers relevant with assembly direction, and the direction that wherein negative number representation is contrary with place direction of principal axis, positive number represents positive direction.
Wherein, the data that above-mentioned three axis accelerometer 130 exports are normalized data, and concrete, the data normalization that above-mentioned three axis accelerometer 130 can be exported is [-128,127].When the data of the X-axis exported by above-mentioned three axis accelerometer 130 and Y-axis normalize to 8 integer [-128,127] respectively, in the opposite direction, numerical values recited represents in the angle that this side up rotates in the pros of negative number representation and corresponding axle.
Step S140: the attitude information of the data acquisition wearer of the X-axis exported by three axis accelerometer 130 and Y-axis and movement state information.
Blood pressure detector 100 is fixed on arm, up and down before and after arm, can do identical motion with sphygomanometer; Wearer standing, sitting posture time, arm fundamental sum trunk keeping parallelism, belongs to upper body erectility.Under this two states, in the test process of reality, all allow arm and trunk to keep the angle of α angle, be less than α angle, judge that health is upright as upper body; Be greater than α angle, then represent lying position.In the present embodiment, above-mentioned α is 30 degree of angles, and when namely representing that Y-axis rotates within 30 degree of angles, wearer is in upper body erectility.As the case may be, the span of above-mentioned α can be 10 degree of-45 degree.
Step S160: the pressure wave data exported according to above-mentioned movement state information correction pressure transducer 110.
Step S180: the blood pressure calculating wearer according to wearer's attitude information and movement state information.
Also comprise in above-mentioned blood pressure detecting signal correction method and detect and record the momental step (not shown) of wearer, at measurement wearer blood pressure simultaneously, detection record is carried out to the quantity of motion of wearer, in the quantity of motion evaluation process using medication effect, non-drug therapy in Circadian blood pressure profile blood pressure, drug treatment, carry out comprehensive assessment in conjunction with wearer's quantity of motion and the blood pressure detected, make Evaluated effect more accurate.
Shown in Fig. 5, it is the flow chart of step S140 embodiment illustrated in fig. 4.With reference to figure 5, the X-axis exported above by three axis accelerometer 130 and the attitude information of data acquisition wearer of Y-axis and the step of movement state information specifically comprise the steps:
Step S142: the attitude information of the data acquisition wearer of the Y-axis exported by three axis accelerometer 130.
Step S144: the movement state information of the data acquisition wearer of the X-axis exported by three axis accelerometer 130 and Y-axis.Be specially, the movement state information of the data acquisition wearer of the X-axis that kinestate acquiring unit 1524 is exported by three axis accelerometer 130 and Y-axis
Measure posture and the kinestate of wearer by means of only three axis accelerometer 130, save cost, simplify the circuit design of blood pressure detector 100, save the power consumption of blood pressure monitoring device and extend service time of blood pressure monitoring device.
Shown in Fig. 6, it is the flow chart of step S142 embodiment illustrated in fig. 5.With reference to figure 6, the step above by the attitude information of the data acquisition wearer of the Y-axis of three axis accelerometer 130 output specifically comprises the steps:
Step S1421: the first low-pass filtering is carried out to the data of Y-axis, the electrical noise in filtering Y-axis data.By above-mentioned first low-pass filtering, the electrical Interference that the vibrations of filtering inflator pump in the process of blood pressure measurement produce is disturbed with other high-frequency noises.Generally, above-mentioned first low pass filtered wave frequency is 8HZ-12HZ.
Step S1422: carry out the second low-pass filtering to the Y-axis data after above-mentioned first low-pass filtering, the motor fluctuation information in filtering Y-axis data, obtains the corresponding steady state data of Y-axis.Generally, above-mentioned second low pass filtered wave frequency is 2.5HZ.Wherein, above-mentioned steady state data is pulsation-free stable pressure data.
Step S1423: the steady state data of Y-axis in the scheduled time is carried out adding up and obtains the meansigma methods after adding up.
Concrete, the above-mentioned scheduled time is the blood pressure measurement time.In the present embodiment, the above-mentioned blood pressure measurement time is 30s-2min.
Step S1424: judge whether electromagnetic release valve exits end.The end if electromagnetic release valve is not also exitted, states a blood pressure measurement and does not also terminate, then perform step S120, continues the data reading X-axis and Y-axis; If electromagnetic release valve venting terminates, then perform step S1425.
Step S1425: the end if electromagnetic release valve has been exitted, then judge meansigma methods whether couching in threshold range, and whether the slant range namely judging Y-axis is couching in slant range.Electromagnetic release valve has been exitted end, represents that a blood pressure measurement completes, now carry out judging and Data Detection by the impact of electromagnetic release valve pressure, detection data are more accurate.
Step S1426: if then obtain wearer's attitude information for couching.If meansigma methods couching in threshold range, then represents that wearer is in the state of couching.
Step S1427: if not, then obtaining wearer's attitude information is that upper body is upright.If meansigma methods couching in threshold range, does not then represent that wearer is in upper body erectility.
Shown in Fig. 7, it is the flow chart of step S144 embodiment illustrated in fig. 5.With reference to figure 7, the step of the movement state information of the data acquisition wearer of the X-axis that above-mentioned steps kinestate acquiring unit 1524 is exported by three axis accelerometer 130 and Y-axis specifically comprises the steps:
The data of step S14401:X axle and Y-axis carry out low-pass filtering respectively.By above-mentioned low-pass filtering, the electrical noise that the vibrations of filtering inflator pump produce disturbs with other high-frequency noises.
Step S14402: carry out high-pass filtering respectively to the X-axis after low-pass filtering and Y-axis data, obtains X-axis and the corresponding motor fluctuation information of Y-axis respectively.Above-mentioned motor fluctuation information is the corresponding acceleration of motion wave datum of data that X-axis or Y-axis export.
Step S14403: the corresponding motor fluctuation information according to X-axis and Y-axis calculates exercise index.Wherein, above-mentioned exercise index is wearer's movement degree value.
The step that the above-mentioned corresponding motor fluctuation information according to X-axis and Y-axis calculates exercise index specifically comprises the steps:
The undulating value difference of two squares that X-axis in the calculating scheduled time and Y-axis export the corresponding acceleration wave of data adds up M1, M1=(X
d1+ Y
d1) A, wherein X
d1for the mean square deviation of X-axis, Y
d1for the mean square deviation of Y-axis, A is variance weight.
The undulating value absolute value calculating X-axis and the corresponding acceleration wave of Y-axis output data adds up M2, M2=(X
d2+ Y
d2) B, wherein X
d2for the absolute deviation meansigma methods of X-axis, Y
d2for the absolute deviation meansigma methods of Y-axis, B is deviation weight.
Calculate exercise index M, M=M1+M2, wherein A+B=1.
Wherein: the mean square deviation of X-axis:
y-axis in like manner.The Mean absolute deviation of X-axis
y-axis in like manner.Wherein, variance weight and deviation weight and be 1.0 decimal, refer to the percentage ratio of two kinds of deviations at exercise index.
Concrete, the above-mentioned scheduled time is the blood pressure measurement time.In the present embodiment, the above-mentioned blood pressure measurement time is 30s-2min.A period of time directly for the blood pressure measurement stage carries out comprehensive attitude detection and motion detection, synthetic attitude draw Measure blood pressure after measurement terminates during and kinestate, simplifying the design of sphygomanometer, save design cost, is that blood pressure measurement is more easy.
Traditional attitude and motion detection technique, judge attitude and the kinestate in some moment, but for blood pressure measurement, generally can continue between 10 seconds to 1 minute, and detecting the attitude during this period of time and moving then needs to do extra choice and judgement.The application directly carries out comprehensive attitude detection and motion detection for a period of time in blood pressure measurement stage, synthetic attitude draw Measure blood pressure after measurement terminates during and kinestate, simplifying the design of sphygomanometer, save design cost, is that blood pressure measurement is more easy.
Step S14404: judge whether electromagnetic release valve exits end.The end if electromagnetic release valve is not also exitted, states a blood pressure measurement and does not also terminate, then perform the data that step S120 continues to read X-axis and Y-axis, the end if electromagnetic release valve has been exitted, then perform step S14405.
Step S14405: the end if electromagnetic release valve has been exitted, then judge whether exercise index is less than exercise index threshold value.If so, then step S14406 is performed; If not, then step S14407 is performed.
Concrete, in the present embodiment, above-mentioned exercise index threshold value is 35.In other embodiments, according to the difference of algorithm, above-mentioned exercise index threshold value can be other values.
Step S14406: if exercise index is less than exercise index threshold value, then it is static for obtaining wearer's movement state information.
Step S14407: if exercise index is greater than or equal to exercise index threshold value, then obtain wearer's movement state information for motion.
Step S14408: the comprehensive acceleration wave obtaining X-axis and Y-axis.Wherein, above-mentioned comprehensive acceleration wave is that the waveform of the data variation that the Acceleration pulse of data variation that X-axis exported and Y-axis export carries out superposing the comprehensive acceleration wave obtained.
Step S14409: judge whether the amplitude change of above-mentioned comprehensive acceleration wave is greater than strenuous exercise's threshold value.If so, then perform step S14410, if not, then perform step S14411.
Step S14410: if the amplitude change of comprehensive acceleration wave is greater than strenuous exercise's threshold value, then judge that wearer's kinestate is strenuous exercise.If when wearer's kinestate is strenuous exercise, then directly stops or suspending blood pressure measurement.
Step S14411: if the amplitude change of comprehensive acceleration wave is less than or equal to above-mentioned strenuous exercise threshold value, then judge that wearer's kinestate is light exercise.
Shown in Fig. 8, it is the flow chart of step S160 shown in Fig. 4.With reference to figure 8, in the step of the pressure wave data exported according to above-mentioned attitude information and movement state information correction pressure transducer 110, the pressure wave data that pressure transducer 110 exports are not revised when wearer's kinestate is static and strenuous exercise, when wearer's kinestate is light exercise, the pressure wave data that pressure transducer 110 exports are revised.Wherein, the step that the pressure wave data exported pressure transducer 110 when wearer's kinestate is light exercise are revised specifically comprises the steps:
S161: by the corresponding pressure pulse wave of pressure wave data acquisition.Read the pressure wave data that pressure transducer 110 exports, low pass filtered is carried out to pressure wave data and makes an uproar.Made an uproar by above-mentioned low pass filtered, the electrical Interference that the vibrations of filtering inflator pump produce is disturbed with other high-frequency noises, and the pressure wave data after making an uproar to low pass filtered carry out high-pass filtering, obtain corresponding pressure pulse wave.
S162: each crest value of calculating pressure pulse wave and trough value one by one.
S163: each crest value and the trough value that calculate comprehensive acceleration wave one by one.
S164: the dynamic amplification calculating comprehensive acceleration wave according to each crest value of pressure pulse wave and each crest value of trough value and comprehensive acceleration wave and trough value.
S165: amplify comprehensive acceleration wave according to dynamic amplification, the amplitude by comprehensive Acceleration pulse is dynamically amplified to the equivalent amplitude of pressure pulse wave.
S166: pressure pulse wave is deducted the comprehensive acceleration wave after amplification, obtains approximate vascular pressure pulse wave.More weak owing to having pulse wave signal real in the pressure pulse wave of motion artifacts, therefore after equivalent amplification, from pressure pulse wave, deduct the comprehensive Acceleration pulse of amplitude normalization, just can obtain the vascular pressure pulse wave be similar to.
Shown in Fig. 9, be the flow chart of step S180 shown in Fig. 4, above-mentioned detection according to wearer's attitude information and movement state information judges that the step of the blood pressure of wearer specifically comprises the steps:
Step S1801: read the pressure wave data that pressure transducer 110 exports.
Step S1802: low pass filtered is carried out to pressure wave data and makes an uproar.Made an uproar by above-mentioned low pass filtered, the electrical Interference that the vibrations of filtering inflator pump produce is disturbed with other high-frequency noises.
Step S1803: the pressure wave data after making an uproar to low pass filtered carry out low-pass filtering, obtain corresponding static pressure.
Step S1804: the pressure wave data after making an uproar to low pass filtered carry out high-pass filtering, obtain corresponding pressure pulse wave.
Step S1805: judge wearer's kinestate.Wherein, the kinestate of wearer comprises three kinds: static, strenuous exercise and light exercise.
Step S1806: if wearer's kinestate is static, then obtain wearer's blood pressure according to above-mentioned pressure pulse wave.
Step S1807: if wearer's kinestate is strenuous exercise, then directly stop or suspending blood pressure measurement.
Step S1808: if wearer's kinestate is light exercise, then obtain corresponding wearer's blood pressure by approximate vascular pressure pulse wave.
Wherein, above-mentioned approximate vascular pressure pulse wave is by being obtained according to the pressure wave data of the attitude information of wearer and the output of movement state information correction pressure transducer 110 by step S160.
Step S1809: judge whether electromagnetic release valve venting terminates.If electromagnetic release valve venting does not terminate, then represent that a blood pressure measurement does not terminate, then continue the data reading X-axis and Y-axis, if electromagnetic release valve venting terminates, then perform step S1810.
Step S1810: export corresponding wearer's pressure value.Above-mentioned wearer's pressure value comprises systolic pressure, diastolic pressure and mean pressure.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (13)
1. a blood pressure detecting signal correction method, for carrying out revising blood pressure detecting signal in blood pressure detecting process at use sphygomanometer, described sphygomanometer comprises pressure transducer and three axis accelerometer, it is characterized in that, comprises the steps:
Obtain the X-axis of described three axis accelerometer output and the data of Y-axis, the vertical direction when Y-axis sensing wearer of described three axis accelerometer is upright;
The attitude information of the described X-axis exported by described three axis accelerometer and the data acquisition wearer of described Y-axis and movement state information;
The pressure wave data that pressure transducer exports according to described movement state information correction.
2. blood pressure detecting signal correction method according to claim 1, is characterized in that, described in the data acquisition of the described described X-axis that exported by described three axis accelerometer and described Y-axis, the step of the attitude information of wearer specifically comprises the steps:
Respectively the first low-pass filtering is carried out to the data of described Y-axis, the electrical noise in Y-axis data described in filtering;
Second low-pass filtering is carried out to the described Y-axis data after described first low-pass filtering, the motor fluctuation information in the data of Y-axis described in filtering, obtain the corresponding steady state data of described Y-axis;
The steady state data of Y-axis described in the scheduled time is carried out adding up and obtains the meansigma methods after adding up;
Judge described meansigma methods whether couching in threshold range;
If so, then the attitude information of described wearer is obtained for couching;
If not, then the attitude information obtaining described wearer is that upper body is upright.
3. blood pressure detecting signal correction method according to claim 1, is characterized in that, the step of the movement state information of the data acquisition wearer of the described described X-axis that exported by three axis accelerometer and described Y-axis is specifically comprised the steps:
Respectively low-pass filtering is carried out to the data of described X-axis and described Y-axis;
Respectively high-pass filtering is carried out to the described X-axis after described low-pass filtering and described Y-axis data, obtains described X-axis and the corresponding motor fluctuation information of described Y-axis respectively;
Corresponding motor fluctuation information according to described X-axis and described Y-axis calculates exercise index, and described exercise index is wearer's movement degree value;
Judge whether described exercise index is less than exercise index threshold value;
If so, then it is static for obtaining wearer's movement state information;
If not, then wearer's movement state information is obtained for motion.
4. blood pressure detecting signal correction method according to claim 3, is characterized in that, the described step calculating described exercise index according to the corresponding motor fluctuation information of X-axis and described Y-axis specifically comprises the steps:
X-axis in the calculating scheduled time and the undulating value difference of two squares of Y-axis add up M1, M1=(X
d1+ Y
d1) A, wherein X
d1for within the described scheduled time, X-axis exports the mean square deviation of data, Y
d1for Y-axis during blood pressure measurement exports the mean square deviation of data, A is variance weight;
During calculating blood pressure measurement, the undulating value absolute value of X-axis and Y-axis adds up M2, M2=(X
d2+ Y
d2) B, wherein X
d2for X-axis during blood pressure measurement exports the absolute deviation meansigma methods of data, Y
d2for Y-axis during blood pressure measurement exports the absolute deviation meansigma methods of data, B is deviation weight;
Calculate described exercise index M, M=M1+M2, wherein A+B=1.
5. blood pressure detecting signal correction method according to claim 3, is characterized in that, after described acquisition wearer movement state information is the step of motion, also comprises and judges that whether motion is the step of strenuous exercise, specifically comprise the steps:
Obtain the comprehensive acceleration wave of described X-axis and described Y-axis, described comprehensive acceleration wave is that the waveform of the Acceleration pulse of the data variation described X-axis exported and the data variation of described Y-axis output superposes;
Judge whether the amplitude change of described comprehensive acceleration wave is greater than strenuous exercise's threshold value;
If so, then judge that wearer's kinestate is strenuous exercise;
If not, then judge that wearer's kinestate is light exercise.
6. blood pressure detecting signal correction method according to claim 5, is characterized in that, the step of the described pressure wave data that pressure transducer exports according to movement state information correction comprises:
When described wearer's kinestate is static and strenuous exercise, the described pressure wave data that described pressure transducer exports are not revised;
When described wearer's kinestate is light exercise, the described pressure wave data that described pressure transducer exports are revised.
7. blood pressure detecting signal correction method as claimed in claim 6, is characterized in that, described when wearer's kinestate is light exercise, and the step that the described pressure wave data exported described pressure transducer are revised specifically comprises the steps:
By the corresponding pressure pulse wave of described pressure wave data acquisition;
Calculate each crest value and the trough value of described pressure pulse wave one by one;
Calculate each crest value and the trough value of described comprehensive acceleration wave one by one;
The dynamic amplification of described comprehensive acceleration wave is calculated according to each crest value of described pressure pulse wave and each crest value of trough value and described comprehensive acceleration wave and trough value;
According to described dynamic amplification, described comprehensive acceleration wave is amplified;
Described pressure pulse wave is deducted the described comprehensive acceleration wave after amplification, obtain approximate vascular pressure pulse wave.
8. a blood pressure detector, comprises microcontroller, pressure transducer and three axis accelerometer, and described pressure transducer is connected described microcontroller respectively with described three axis accelerometer; It is characterized in that, described microcontroller is for performing blood pressure data calculation procedure, and described blood pressure data calculation procedure comprises correcting module and main control module;
Vertical direction when the Y-axis sensing wearer of described three axis accelerometer is upright;
Described microcontroller receives the pressure wave data that the X-axis of described three axis accelerometer output and the data of Y-axis and described pressure transducer export;
The data of the X-axis that described correcting module exports according to described three axis accelerometer and Y-axis calculate attitude information and the movement state information of corresponding wearer, and the pressure wave data that pressure transducer exports according to described movement state information correction;
Described main control module calculates wearer's blood pressure data according to the attitude information of described wearer and described revised pressure wave data.
9. blood pressure detector according to claim 8, is characterized in that, described correcting module comprises:
Attitude acquiring unit, the data for the described Y-axis exported by described three axis accelerometer calculate the attitude information of wearer;
Kinestate acquiring unit, the data for the described X-axis that exported by described three axis accelerometer and described Y-axis calculate the movement state information of wearer;
Amending unit, for the pressure wave data that pressure transducer according to described movement state information correction exports.
10. blood pressure detector according to claim 9, is characterized in that, described three axis accelerometer comprises:
Three axis accelerometer unit, for obtaining the data of X-axis and Y-axis;
First low-pass filter unit, connects described three axis accelerometer unit, for carrying out the first low-pass filtering respectively to the data of described X-axis and described Y-axis, the electrical noise in the data of X-axis described in filtering and described Y-axis;
Second low-pass filter unit, connects described first low-pass filter unit, for the motor fluctuation information in the data of the described Y-axis after the first low-pass filtering described in filtering, obtains the corresponding steady state data of described Y-axis;
Described attitude acquiring unit obtains the corresponding steady state data of described Y-axis and calculates the attitude information of described wearer according to described steady state data and the attitude information of described wearer is transferred to described main control module.
11. blood pressure detectors according to claim 10, is characterized in that, described three axis accelerometer also comprises:
High pass filter unit, connect described first low-pass filter unit and described microcontroller, for carrying out high-pass filtering respectively to the data of the described X-axis after described first low-pass filtering and described Y-axis, obtain described X-axis and the corresponding motor fluctuation information of described Y-axis respectively, and give described microcontroller by described motor fluctuation information transmission;
Described kinestate acquiring unit obtains and calculates the movement state information of described wearer according to described motor fluctuation information and the movement state information of described wearer is transferred to described main control module.
12. blood pressure detectors according to claim 9, is characterized in that, described amending unit comprises:
Primary peak, trough computing unit, for calculating described main control module one by one according to each crest value of the pressure pulse wave of described pressure wave data acquisition and trough value;
Secondary peak, trough computing unit, for calculating the X-axis and the X-axis of data acquisition of Y-axis and each crest value of the comprehensive acceleration wave of Y-axis and trough value that described main control module exports according to described three axis accelerometer one by one;
Amplify amending unit, for the dynamic amplification according to each crest value of described pressure pulse wave and each crest value of trough value and described comprehensive acceleration wave and the described comprehensive acceleration wave of trough value calculating, according to described dynamic amplification, described comprehensive acceleration wave is amplified, calculate approximate vascular pressure pulse wave according to the comprehensive acceleration wave after described pressure pulse wave and described amplification, and described approximate vascular pressure pulse wave is transferred to described main control module.
13. blood pressure detectors according to claim 8, is characterized in that, also comprise quantity of motion detector, connect described microcontroller, for detecting wearer's quantity of motion.
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