CN115381418A - Non-invasive high-precision blood pressure detection system - Google Patents
Non-invasive high-precision blood pressure detection system Download PDFInfo
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Abstract
The invention relates to the technical field of blood pressure detection, and is used for solving the problems that the measurement state of non-invasive blood pressure detection equipment is difficult to be clearly analyzed, the measurement error of the detection equipment is more difficult to be accurately corrected, and the accuracy and the precision of the non-invasive blood pressure detection equipment cannot be ensured, in particular to a non-invasive high-precision blood pressure detection system which comprises a server, wherein the server is in communication connection with a data acquisition unit, an equipment state analysis unit, a detected state analysis unit, a precision detection correction unit, a detection precision verification unit, a feedback early warning output unit and a display terminal; the invention utilizes the modes of data analysis, multi-angle multi-level judgment and data error correction and signal output, thereby not only determining the judgment and analysis of the measurement error of the non-invasive blood pressure detection equipment, but also realizing the regulation and control of the measurement error and ensuring the high precision and accuracy of the blood pressure detection of the non-invasive equipment.
Description
Technical Field
The invention relates to the technical field of blood pressure detection, in particular to a non-invasive high-precision blood pressure detection system.
Background
The blood pressure is one of vital signs of a human body, headache, dizziness and even intracranial hemorrhage can be caused by overhigh blood pressure, dizziness, fatigue, shock and death can be caused by hypotension, the working state of a circulatory system of the human body can be known by measuring the blood pressure, and when the systolic pressure exceeds 140mmHg and the diastolic pressure exceeds 90mmHg, the blood pressure is high, and the blood vessel, the heart, the brain and the kidney can be damaged by long-term hypertension;
the method for measuring blood pressure is a main means for diagnosing and evaluating the severity of hypertension, and the method for measuring blood pressure comprises a direct pressure measurement method and an indirect measurement method, wherein the direct pressure measurement method comprises the following steps: the method is accurate, real-time and not influenced by peripheral arterial contraction, but is an invasive mode and only suitable for critical and difficult cases;
indirect measurement method: the non-invasive cuff pressurizing method is simple and easy to implement, and has the advantages of indirect measurement method by using a sphygmomanometer, but the indirect measurement method is easily influenced by various factors, so that the blood pressure measurement has certain error;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the measurement state of non-invasive blood pressure detection equipment is difficult to clearly analyze, the measurement error of the non-invasive blood pressure detection equipment is difficult to accurately correct and the accuracy and precision of the blood pressure detection of the non-invasive equipment cannot be ensured in the existing non-invasive blood pressure detection precision management mode.
The purpose of the invention can be realized by the following technical scheme:
a non-invasive high-precision blood pressure detection system comprises a server, wherein the server is in communication connection with a data acquisition unit, an equipment state analysis unit, a detected state analysis unit, a precision detection correction unit, a detection precision verification unit, a feedback early warning output unit and a display terminal;
the data acquisition unit is used for acquiring running state information of the non-invasive blood pressure detection device and pre-detection state information of a detected person and respectively sending the running state information and the pre-detection state information to the device state analysis unit and the detected state analysis unit;
the device state analysis unit is used for receiving the running state information of the non-invasive blood pressure detection device, judging, analyzing and processing the running precision state of the device, generating a normal signal of the detection precision state of the device and a deficient signal of the detection precision state of the device according to the running state information, sending the normal signal of the detection precision state of the device to the detected state analysis unit, sending the deficient signal of the detection precision state of the device to the feedback early warning output unit for early warning analysis processing, and sending the deficient signal of the detection precision state of the device to the display terminal for display description in a text word description mode;
the detected state analysis unit is used for receiving a normal signal of the detection precision state of the equipment and a repeated execution value k, calling the pre-detection state information of each detected person according to the normal signal and the repeated execution value k to perform detected preparation state judgment analysis processing, generating a high-precision detection signal, a low-blood pressure measurement value signal and a high-blood pressure measurement value signal according to the pre-detection state information, sending the high-precision detection signal to the feedback early warning output unit, and sending the low-blood pressure measurement value signal and the high-blood pressure measurement value signal to the precision detection correction unit;
the precision detection and correction unit is used for receiving the blood pressure measurement value low signal and the blood pressure measurement value high signal, performing precision adjustment control analysis processing according to the signals, generating a precision blood pressure value Pbp and a verification instruction according to the signals, and sending the verification instruction to the detection precision verification unit;
the detection precision verification unit is used for receiving a verification instruction, calling multiple times of blood pressure measurement information of each examined person according to the verification instruction, judging, analyzing and processing blood pressure detection verification precision, generating a low-precision detection signal and a high-precision detection signal according to the blood pressure detection verification instruction, sending the low-precision detection signal to the detected state analysis unit, sending the high-precision detection signal to the feedback early warning output unit for early warning analysis processing, and sending the high-precision detection signal to the display terminal for display and explanation in a text word description mode.
Further, the specific operation steps of the equipment running precision state judgment analysis processing are as follows:
acquiring the aging degree, the air tightness degree value and the air charging and discharging speed in the running state information of the non-invasive blood pressure detection equipment in real time, respectively marking the aging degree, the air tightness degree value and the air charging and discharging speed as lh, qm and qs, performing formulated analysis on the lh, qm and qs, and performing formulated analysis according to a formula
Calculating equipment operation coefficients, wherein e1, e2 and e3 are respectively weight factor coefficients of the aging degree, the air tightness degree value and the air charging and discharging speed, e1 is larger than e2 and larger than e3, and e1+ e2+ e3=9;
and substituting the equipment operation coefficient into a preset equipment operation reference interval Qx for comparative analysis, generating an equipment detection precision state normal signal when the equipment operation coefficient is within the preset equipment operation reference interval Qx, and otherwise, generating an equipment detection precision state lack signal when the equipment operation coefficient is outside the preset equipment operation reference interval Qx.
Further, the specific operation steps of the examined preparation state judgment analysis processing are as follows:
acquiring a limb height value and a heart height value in the pre-detection state information of the detected person in real time, respectively marking the limb height value and the heart height value as h1 and h2, performing differential analysis on the values, and solving a detected posture deviation coefficient according to a formula phx = h1-h 2;
if phx is greater than 0, generating a high blood pressure measurement value signal, if phx is less than 0, generating a low blood pressure measurement value signal, and if phx =0, generating a high-precision detection signal;
real-time acquiring the cuff coverage and the cuff winding tightness in the pre-detection state information of the detected person, respectively marking the cuff coverage and the cuff winding tightness as xfg and xcs, carrying out normalization analysis on the xfg and xcs, and carrying out normalization analysis according to a formula
Calculating a cuff influence coefficient of each subject, wherein f1 and f2 are correction factor coefficients of the cuff coverage rate and the cuff winding tightness value respectively, and both f1 and f2 are natural numbers larger than 0;
substituting the cuff influence coefficient into a preset cuff influence reference interval Yd for comparative analysis, generating a high-precision detection signal when the cuff influence coefficient is less than or equal to the preset cuff influence reference interval Yd, and generating a cuff detection abnormal signal when the cuff influence coefficient is greater than the preset cuff influence reference interval Yd;
when the abnormal signals of cuff detection are generated, the cuff coverage and the cuff winding tightness of each subject are judged and analyzed class by class according to the abnormal signals, and the signals that the blood pressure measured value is higher and the signals that the blood pressure measured value is lower are generated according to the abnormal signals.
Further, the specific operation steps of the class-by-class judgment analysis processing are as follows:
setting an upper coverage reference threshold value Y1 and a lower coverage reference threshold value Y2 of the cuff coverage rate, and comparing and analyzing the cuff coverage rate with the preset upper coverage reference threshold value Y1 and the preset lower coverage reference threshold value Y2;
when the cuff coverage is greater than or equal to a preset upper coverage reference threshold value Y1, generating a high blood pressure measurement value signal, when the cuff coverage is less than or equal to a preset lower coverage reference threshold value Y2, generating a low blood pressure measurement value signal, and when the cuff coverage is less than the preset upper coverage reference threshold value Y1 and greater than the lower coverage reference threshold value Y2, generating a high-precision detection signal;
setting a loose reference threshold value Y3 and a tight reference threshold value Y4 of the cuff winding tightness value, and comparing and analyzing the cuff winding tightness value with a preset loose reference threshold value Y3 and a tight reference threshold value Y4;
when the wrapping tightness value of the cuff is less than or equal to a loose reference threshold value Y3, a high blood pressure measured value signal is generated, when the wrapping tightness value of the cuff is greater than or equal to a loose reference threshold value Y4, a low blood pressure measured value signal is generated, and when the wrapping tightness value of the cuff is greater than the loose reference threshold value Y3 and less than the loose reference threshold value Y4, a high-precision detection signal is generated.
Further, the specific operation steps of the precision adjustment control analysis processing are as follows:
when a low signal of a blood pressure measured value is received, setting a corrected blood pressure added value xa, adding the corrected blood pressure added value xa on the basis of an actually measured blood pressure value of a detected person to obtain a precision blood pressure value Pbp, namely Pbp = bp + xa, generating a verification instruction after the precision blood pressure value is reset, and sending the verification instruction to a detection precision verification unit;
when a blood pressure measured value is received to be higher than a set value, a corrected blood pressure reduction value xb is set, the corrected blood pressure reduction value xb is added on the basis of an actually measured blood pressure value of a detected person to obtain a precision blood pressure value Pbp, namely Pbp = bp-xb, a verification instruction is generated after the precision blood pressure value is reset, and the verification instruction is sent to a detection precision verification unit.
Further, the specific operation steps of the blood pressure detection verification precision judgment analysis processing are as follows:
repeatedly measuring blood pressure of each subject, recording the blood pressure value of each blood pressure measurement of each subject, and calibrating the blood pressure value of each detection of each subject to be bp ij Wherein i represents each subject, j represents the number of detections, and i =1,2,3 \ 8230 \8230, n, j =1,2,3 \ 8230, wherein \ 8230, m, n, and m are positive integers;
carrying out mean value analysis on blood pressure values detected for multiple times of each detected person according to a formula Jbp i =（bp i1 +bp i2 +……+bp im ) Div m, find the blood pressure of each subjectValue Jbp i ；
Carrying out difference analysis on the blood pressure mean value of each examined person and the corresponding blood pressure value according to a formula pc ij = I Jbp i -bp ij Obtaining blood pressure detection deviation coefficients of each blood pressure measurement of each examinee;
each examinee is used as a horizontal coordinate, the corresponding blood pressure detection deviation coefficient of each examinee is used as a vertical coordinate, a two-dimensional rectangular coordinate system is established according to the horizontal coordinate, the blood pressure detection deviation coefficient of each examinee is drawn on the two-dimensional rectangular coordinate system in a dot-line connection mode, and the drawn broken line is named as a repeated judgment line;
and calculating a total included angle between the repeated determination line and the horizontal line, and generating a high-precision detection signal when the total included angle is between 0 and 10 degrees, or generating a low-precision detection signal when the total included angle is more than 10 degrees.
Compared with the prior art, the invention has the beneficial effects that:
(1) The invention utilizes the modes of symbolic calibration, formulaic analysis and data substitution analysis to realize definite judgment analysis on the running precision state of the non-invasive blood pressure detection equipment, and utilizes the modes of data difference, data comparison, normalization analysis and data item-by-item comparison and a multi-angle multi-level judgment mode to realize definite judgment analysis on the blood pressure detection precision from different detected preparation state levels of a detected person on the basis of the detection precision judgment of the non-invasive blood pressure detection equipment;
(2) According to the invention, the method is based on the judgment of the blood pressure measurement precision error, and adopts the modes of data error correction and signal output, so that the correction and accurate adjustment of the blood pressure measurement error are realized, and the accuracy of non-invasive blood pressure measurement is improved;
(3) The invention realizes the verification analysis of the precision of the blood pressure measured value after correction by using the modes of mean value analysis, coordinate model analysis and data analysis, and realizes the feedback analysis of the blood pressure detection precision by adopting the mode of text word description output, thereby not only determining the judgment analysis of the measurement error of the non-invasive blood pressure detection equipment, but also realizing the regulation and control of the measurement error and ensuring the high precision and the accuracy of the blood pressure detection of the non-invasive equipment.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention;
FIG. 2 is a system block diagram of a first embodiment of the present invention;
FIG. 3 is a system block diagram of a second embodiment of the present invention;
FIG. 4 is a block flow diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1 and fig. 2, a non-invasive high-precision blood pressure detecting system includes a server, the server is in communication connection with a data collecting unit, an equipment state analyzing unit, a detected state analyzing unit, a precision detecting and correcting unit, a detection precision verifying unit, a feedback early warning output unit and a display terminal;
acquiring running state information of the non-invasive blood pressure detection device through a data acquisition unit, and sending the running state information to a device state analysis unit;
when the device state analysis unit receives the running state information of the non-invasive blood pressure detection device, the device running precision state judgment analysis processing is carried out according to the running state information, and the specific operation process is as follows:
acquiring the aging degree, the air tightness degree value and the air charging and discharging speed in the running state information of the non-invasive blood pressure detection equipment in real time, respectively marking the aging degree, the air tightness degree value and the air charging and discharging speed as lh, qm and qs, performing formulated analysis on the lh, qm and qs, and analyzing the qh, qm and qs according to a formula
Calculating equipment operation coefficients, wherein e1, e2 and e3 are respectively weight factor coefficients of the aging degree, the air tightness degree value and the air charging and discharging speed, e1 is larger than e2 and larger than e3, and e1+ e2+ e3=9, and the weight factor coefficients are used for balancing the proportion weight of each item of data in formula calculation, so that the accuracy of the calculation result is promoted;
it should be noted that, the inflation and deflation speed refers to the inflation and deflation speed of the non-invasive blood pressure detection device, the aging degree refers to the aging degree of the pressurizing balloon and the rubber tube of the non-invasive blood pressure detection device, the aging degree of the pressurizing balloon or the rubber tube is comprehensively checked through the service life, the deterioration degree of the rubber material and the deformation degree of the material, and the air tightness degree value refers to the data value of the air tightness of the pressurizing balloon and the rubber tube of the non-invasive blood pressure detection device;
when the expression value of the aging degree is smaller, and the expression values of the air tightness degree value and the air inflation and deflation speed are larger, the non-invasive blood pressure detection equipment can realize better blood pressure detection, and the high precision of the blood pressure detection of the non-invasive blood pressure detection equipment can be embodied;
substituting the equipment operation coefficient into a preset equipment operation reference interval Qx for comparative analysis, generating an equipment detection precision state normal signal when the equipment operation coefficient is within the preset equipment operation reference interval Qx, and otherwise, generating an equipment detection precision state deficiency signal when the equipment operation coefficient is outside the preset equipment operation reference interval Qx;
and sending the generated signal of lack of the equipment detection precision state to a feedback early warning output unit for early warning analysis processing, wherein the specific operation process is as follows:
when a signal indicating that the equipment detection precision state is insufficient is received, the signal is sent to a display terminal in a text word description mode in which the running state of the non-invasive blood pressure detection equipment is poor, so that the equipment detection precision is poor, and the display description is displayed.
Example two:
as shown in fig. 1, fig. 3 and fig. 4, the device state analysis unit performs device operation accuracy state determination analysis processing on the operation state information received from the non-invasive blood pressure detection device, thereby generating a device detection accuracy state normal signal, and sends the generated device detection accuracy state normal signal to the detected state analysis unit;
when the detected state analysis unit receives the normal signal of the equipment detection precision state, the detected state analysis unit calls the pre-detection state information of each detected person according to the normal signal to perform detected preparation state judgment analysis processing, and the specific operation process is as follows:
acquiring a limb height value and a heart height value in the pre-detection state information of the detected person in real time, respectively marking the limb height value and the heart height value as h1 and h2, performing difference analysis on the values, and solving a detection posture deviation coefficient according to a formula phx = h1-h 2;
if phx > 0, indicating that the position of the detected limb of the examinee is higher than the position of the heart of the examinee and generating a high blood pressure measurement value signal, if phx < 0, indicating that the position of the detected limb of the examinee is lower than the position of the heart of the examinee and generating a low blood pressure measurement value signal, and if phx =0, indicating that the position of the detected limb of the examinee is flush with the position of the heart of the examinee and generating a high-precision detection signal;
sending the generated high-precision detection signal to a feedback early warning output unit for early warning analysis processing, wherein the specific operation process is as follows:
when receiving the high-precision detection signal, sending the high-precision detection signal to a display terminal for displaying and explaining in a text word description mode of 'high precision of blood pressure measurement of non-invasive blood pressure detection equipment';
according to the high-precision detection signal, real-time acquiring the cuff coverage and the cuff winding tightness in the pre-detection state information of the detected person, respectively marking the cuff coverage and the cuff winding tightness as xfg and xcs, carrying out normalization analysis on the xfg and xcs, and analyzing the values according to a formula
Calculating the cuff influence coefficient of each subject, wherein f1 and f2 are correction factor coefficients of the cuff coverage and the cuff winding tightness, respectively, and f1 and f2f2 are all natural numbers larger than 0, and the correction factor coefficient is used for correcting the deviation of each parameter in the formula calculation process, so that more accurate parameter data can be calculated;
it should be noted that the cuff coverage refers to the coverage of the cuff of the non-invasive blood pressure detection device wound around the arm of the subject, and when the representation value of the cuff coverage is larger, the accuracy of the blood pressure measurement of the subject is better;
the cuff winding tightness value refers to a data value of tightness of the cuff of the non-invasive blood pressure detection device wound on the arm of the examinee, when the representation value of the cuff winding tightness value is larger, the tightness of the cuff wound on the arm of the examinee is more indicated, and when the winding tightness is tighter, the blood vessel of the arm of the examinee is pressed, the blood flow resistance is increased, so that the measured blood pressure value is slightly lower, and when the winding tightness is looser, the measured blood pressure value is slightly higher;
substituting the cuff influence coefficient into a preset cuff influence reference interval Yd for comparative analysis, generating a high-precision detection signal when the cuff influence coefficient is less than or equal to the preset cuff influence reference interval Yd, generating a cuff detection abnormal signal when the cuff influence coefficient is greater than the preset cuff influence reference interval Yd, sending the generated high-precision detection signal to a feedback early warning output unit for early warning analysis processing, and sending the high-precision detection signal to a display terminal for display description in a text word description mode;
and according to the generated cuff detection abnormal signal, the cuff coverage rate and the cuff winding tightness value of each examinee are called, and the judgment and analysis processing is carried out class by class according to the cuff detection abnormal signal, and the specific operation process is as follows:
setting an upper coverage reference threshold value Y1 and a lower coverage reference threshold value Y2 of the cuff coverage rate, and comparing and analyzing the cuff coverage rate with the preset upper coverage reference threshold value Y1 and the preset lower coverage reference threshold value Y2;
when the coverage rate of the cuff is greater than or equal to a preset upper coverage reference threshold value Y1, indicating that the coverage surface of the cuff covering the arm of the examinee exceeds the standard, and generating a high blood pressure measurement value signal, when the coverage rate of the cuff is less than or equal to a preset lower coverage reference threshold value Y2, indicating that the coverage surface of the cuff covering the arm of the examinee is insufficient, and generating a low blood pressure measurement value signal, and when the coverage rate of the cuff is less than the preset upper coverage reference threshold value Y1 and is greater than a lower coverage reference threshold value Y2, generating a high-precision detection signal;
setting a loose reference threshold value Y3 and a tight reference threshold value Y4 of the cuff winding tightness value, and comparing and analyzing the cuff winding tightness value with a preset loose reference threshold value Y3 and a tight reference threshold value Y4;
when the wrapping tightness value of the cuff is less than or equal to a loose reference threshold Y3, the tightness state that the cuff wraps the arm of the subject is loose, and a high blood pressure measurement value signal is generated, when the wrapping tightness value of the cuff is greater than or equal to a loose reference threshold Y4, the tightness state that the cuff wraps the arm of the subject is tight, and a low blood pressure measurement value signal is generated, and when the wrapping tightness value of the cuff is greater than the loose reference threshold Y3 and less than the loose reference threshold Y4, a high-precision detection signal is generated;
sending the generated blood pressure measurement value low signal and the generated blood pressure measurement value high signal to a precision detection and correction unit;
when the precision detection and correction unit receives the blood pressure measurement value low signal and the blood pressure measurement value high signal, the precision adjustment, control, analysis and processing are carried out according to the signals, and the specific operation process is as follows:
when a low signal of a blood pressure measured value is received, setting a corrected blood pressure added value xa, adding the corrected blood pressure added value xa on the basis of an actually measured blood pressure value of a detected person to obtain a precision blood pressure value Pbp, namely Pbp = bp + xa, generating a verification instruction after the precision blood pressure value is reset, and sending the verification instruction to a detection precision verification unit;
when a blood pressure measurement value higher signal is received, setting a corrected blood pressure reduction value xb, adding the corrected blood pressure reduction value xb to the actually measured blood pressure value of the examinee to obtain a precision blood pressure value Pbp, namely Pbp = bp-xb, generating a verification instruction after the precision blood pressure value is reset, and sending the verification instruction to a detection precision verification unit;
when the detection precision verification unit receives a verification instruction, the multiple blood pressure measurement information of each examinee is called according to the verification instruction, and the blood pressure detection verification precision is judged, analyzed and processed, and the specific operation process is as follows:
repeatedly measuring blood pressure of each subject, recording the blood pressure value of each blood pressure measurement of each subject, and calibrating the blood pressure value of each detection of each subject to be bp ij Wherein i represents each subject, j represents the number of detections, and i =1,2,3 \ 8230 \8230, n, j =1,2,3 \ 8230, wherein \ 8230, m, n, and m are positive integers;
analyzing the mean value of the blood pressure values of multiple detections of each subject according to a formula Jbp i =（bp i1 +bp i2 +……+bp im ) Dividing m, and calculating the average value Jbp of blood pressure of each subject i ；
Carrying out difference analysis on the blood pressure mean value of each examined person and the corresponding blood pressure value according to a formula pc ij = I Jbp i -bp ij Obtaining blood pressure detection deviation coefficients of each blood pressure measurement of each examinee;
each examinee is used as a horizontal coordinate, the corresponding blood pressure detection deviation coefficient of each examinee is used as a vertical coordinate, a two-dimensional rectangular coordinate system is established according to the horizontal coordinate, the blood pressure detection deviation coefficient of each examinee is drawn on the two-dimensional rectangular coordinate system in a dot-line connection mode, and the drawn broken line is named as a repeated judgment line;
calculating a total included angle between the repeated determination line and a horizontal line, wherein when the total included angle is between 0 and 10 degrees, the blood pressure values detected for multiple times are relatively high in similarity, and high-precision detection signals are generated, and conversely, when the total included angle is more than 10 degrees, the blood pressure values detected for multiple times are relatively low in similarity, and low-precision detection signals are generated;
when a low-precision detection signal is generated, a repeated execution value k is immediately generated, and k is not more than 4, the operation is returned to the detected state analysis unit according to the repeated execution value k, the operation is repeated until a high-precision detection signal is generated, or when a repeated execution value k =3 and a low-precision detection signal is still output, a detection precision abnormal signal is generated according to the operation and is sent to a feedback early warning output unit for early warning analysis processing, and the specific operation process is as follows:
and when the detection precision abnormal signal is received, the detection precision abnormal signal is sent to a display terminal for displaying and explaining in a text word description mode that the precision of the blood pressure measurement of the non-invasive blood pressure detection equipment is low.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
such as the formula:
；
collecting multiple groups of sample data by technicians in the field and setting a corresponding weight factor coefficient for each group of sample data; substituting the set weight factor coefficient and the acquired sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of e1, e2 and e3 which are 4, 3 and 2 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the non-invasive blood pressure detection device is used, the running state information of the non-invasive blood pressure detection device is collected, the running precision state of the device is judged, analyzed and processed, and the running precision state of the non-invasive blood pressure detection device is definitely judged and analyzed by means of symbolic calibration, formulaic analysis and data substitution analysis;
the method is characterized in that the detection precision of non-invasive blood pressure detection equipment is judged as a basis, the pre-detection state information of a detected person is obtained to carry out detection preparation state judgment analysis processing, the data is used for carrying out subtraction, data comparison and normalization analysis, the data item-by-item comparison mode and the multi-angle multi-level judgment mode are utilized, the definite judgment analysis of the blood pressure detection precision is realized from different detection preparation state layers of the detected person, the data error correction and signal output mode is adopted on the basis of the judgment of the blood pressure measurement precision error, and the correction and accurate adjustment of the blood pressure measurement error are realized, and the non-invasive blood pressure measurement precision is improved;
the blood pressure detection verification precision judgment analysis processing is carried out on the blood pressure measurement information of each examined person for multiple times, the verification analysis on the blood pressure measurement value precision after correction is realized by means of mean value analysis, coordinate model analysis and data analysis, the feedback analysis on the blood pressure detection precision is realized by means of text word description output, so that the regulation and control on the measurement error are realized while the judgment analysis on the measurement error of the non-invasive blood pressure detection equipment is definite, and the high precision and the accuracy of the blood pressure detection of the non-invasive equipment are ensured.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A non-invasive high-precision blood pressure detection system comprises a server, and is characterized in that the server is in communication connection with:
the data acquisition unit is used for acquiring the running state information of the non-invasive blood pressure detection equipment and the pre-detection state information of the examinee and respectively sending the running state information and the pre-detection state information to the equipment state analysis unit and the detected state analysis unit;
the device state analysis unit is used for receiving the running state information of the non-invasive blood pressure detection device, judging and analyzing the running precision state of the device, generating a normal signal of the detection precision state of the device and a deficient signal of the detection precision state of the device according to the running state information, sending the normal signal of the detection precision state of the device to the detected state analysis unit, sending the deficient signal of the detection precision state of the device to the feedback early warning output unit for early warning analysis processing, and sending the deficient signal of the detection precision state of the device to the display terminal for display description in a text word description mode;
the detected state analysis unit is used for receiving the normal signal and the repeated execution value of the detection precision state of the equipment, calling the pre-detection state information of each detected person according to the normal signal and the repeated execution value to perform detected preparation state judgment analysis processing, generating a high-precision detection signal, a low-precision blood pressure measurement value signal and a high-precision blood pressure measurement value signal according to the pre-detection state information, sending the high-precision detection signal to the feedback early warning output unit, and sending the low-precision blood pressure measurement value signal and the high-precision blood pressure measurement value signal to the precision detection correction unit;
the precision detection and correction unit is used for receiving the blood pressure measurement value low signal and the blood pressure measurement value high signal, performing precision adjustment control analysis processing according to the signals, generating a precision blood pressure value Pbp and a verification instruction according to the signals, and sending the verification instruction to the detection precision verification unit;
and the detection precision checking unit is used for receiving the verification instruction, calling multiple times of blood pressure measurement information of each examined person according to the verification instruction, judging, analyzing and processing the blood pressure detection verification precision, generating a low-precision detection signal and a high-precision detection signal according to the blood pressure detection verification precision, sending the low-precision detection signal to the detected state analysis unit, sending the high-precision detection signal to the feedback early warning output unit for early warning analysis processing, and sending the high-precision detection signal to the display terminal for displaying and explaining in a text word description mode.
2. The non-invasive high-precision blood pressure detecting system according to claim 1, wherein the specific operation steps of the device running precision state determination analysis process are as follows:
acquiring the aging degree, the air tightness degree value and the air charging and discharging speed in the running state information of the non-invasive blood pressure detection equipment in real time, and performing formulated analysis on the aging degree, the air tightness degree value and the air charging and discharging speed to obtain an equipment running coefficient;
and substituting the equipment operation coefficient into a preset equipment operation reference interval Qx for comparative analysis, generating an equipment detection precision state normal signal when the equipment operation coefficient is within the preset equipment operation reference interval Qx, and otherwise, generating an equipment detection precision state deficiency signal when the equipment operation coefficient is outside the preset equipment operation reference interval Qx.
3. A non-invasive high accuracy blood pressure measuring system according to claim 1, wherein the preliminary state determination analysis process under test is performed by the following steps:
acquiring a limb height value and a heart height value in the pre-detection state information of the detected person in real time, and performing difference analysis on the limb height value and the heart height value to obtain a detection body position deviation coefficient phx;
if phx > 0, generating a high blood pressure measurement value signal, if phx < 0, generating a low blood pressure measurement value signal, and if phx =0, generating a high-precision detection signal;
acquiring the cuff coverage and the cuff winding tightness in the pre-detection state information of the examinees in real time, and performing normalization analysis on the cuff coverage and the cuff winding tightness to obtain the cuff influence coefficient of each examinee;
substituting the cuff influence coefficient into a preset cuff influence reference interval Yd for comparative analysis, generating a high-precision detection signal when the cuff influence coefficient is less than or equal to the preset cuff influence reference interval Yd, and generating a cuff detection abnormal signal when the cuff influence coefficient is greater than the preset cuff influence reference interval Yd;
when the abnormal signals of cuff detection are generated, the cuff coverage and the cuff winding tightness of each subject are judged and analyzed class by class according to the abnormal signals, and the signals that the blood pressure measured value is higher and the signals that the blood pressure measured value is lower are generated according to the abnormal signals.
4. A non-invasive high accuracy blood pressure measuring system according to claim 3, wherein the specific operation steps of the class-by-class decision analysis process are as follows:
setting an upper covering reference threshold Y1 and a lower covering reference threshold Y2 of the cuff coverage rate, and comparing and analyzing the cuff coverage rate with the preset upper covering reference threshold Y1 and the preset lower covering reference threshold Y2;
when the cuff coverage is greater than or equal to a preset upper coverage reference threshold value Y1, generating a high blood pressure measurement value signal, when the cuff coverage is less than or equal to a preset lower coverage reference threshold value Y2, generating a low blood pressure measurement value signal, and when the cuff coverage is less than the preset upper coverage reference threshold value Y1 and greater than the lower coverage reference threshold value Y2, generating a high-precision detection signal;
setting a loose reference threshold value Y3 and a tight reference threshold value Y4 of the cuff winding tightness value, and comparing and analyzing the cuff winding tightness value with a preset loose reference threshold value Y3 and a tight reference threshold value Y4;
when the value of the tightness of the wound cuff is less than or equal to a loose reference threshold value Y3, a high-blood pressure measured value signal is generated, when the value of the tightness of the wound cuff is greater than or equal to a loose reference threshold value Y4, a low-blood pressure measured value signal is generated, and when the value of the tightness of the wound cuff is greater than the loose reference threshold value Y3 and less than the loose reference threshold value Y4, a high-precision detection signal is generated.
5. The non-invasive high precision blood pressure detecting system according to claim 1, wherein the specific operation steps of the precision adjustment control analysis process are as follows:
when a blood pressure measured value is received to be a low signal, a corrected blood pressure added value xa is set, the corrected blood pressure added value xa is added on the basis of an actually measured blood pressure value of a detected person to obtain a precision blood pressure value Pbp, namely Pbp = bp + xa, a verification instruction is generated after the precision blood pressure value is reset, and the verification instruction is sent to a detection precision verification unit;
when a blood pressure measurement value higher signal is received, a corrected blood pressure reduction value xb is set, the corrected blood pressure reduction value xb is added on the basis of an actual measurement blood pressure value of a detected person to obtain a precision blood pressure value Pbp, namely Pbp = bp-xb, a verification instruction is generated after the precision blood pressure value is reset, and the verification instruction is sent to a detection precision verification unit.
6. The non-invasive high-precision blood pressure detecting system according to claim 1, wherein the specific operation steps of the blood pressure detection verification precision determination analysis process are as follows:
repeatedly measuring blood pressure of each subject, recording the blood pressure value of each blood pressure measurement of each subject, and calibrating the blood pressure value of each detection of each subject to be bp ij Wherein i =1,2,3 \ 8230, n, j =1,2,3 \ 8230, m, n, m are positive integers;
carrying out mean value analysis on the blood pressure values detected for multiple times of each examined person to obtain the mean value Jbp of the blood pressure of each examined person i ；
Carrying out difference analysis on the blood pressure mean value of each examined person and the corresponding blood pressure value according to a formula pc ij = I Jbp i -bp ij Obtaining blood pressure detection deviation coefficients of each blood pressure measurement of each examinee;
each examinee is used as a horizontal coordinate, the corresponding blood pressure detection deviation coefficient of each examinee is used as a vertical coordinate, a two-dimensional rectangular coordinate system is established according to the horizontal coordinate, the blood pressure detection deviation coefficient of each examinee is drawn on the two-dimensional rectangular coordinate system in a dot-line connection mode, and the drawn broken line is named as a repeated judgment line;
and calculating a total included angle between the repeated determination line and the horizontal line, and generating a high-precision detection signal when the total included angle is between 0 and 10 degrees, or generating a low-precision detection signal when the total included angle is more than 10 degrees.
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