CN114224305A - Detection method and device for blood pressure monitor - Google Patents
Detection method and device for blood pressure monitor Download PDFInfo
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- CN114224305A CN114224305A CN202210083548.1A CN202210083548A CN114224305A CN 114224305 A CN114224305 A CN 114224305A CN 202210083548 A CN202210083548 A CN 202210083548A CN 114224305 A CN114224305 A CN 114224305A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/022—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers
- A61B5/0225—Measuring pressure in heart or blood vessels by applying pressure to close blood vessels, e.g. against the skin; Ophthalmodynamometers the pressure being controlled by electric signals, e.g. derived from Korotkoff sounds
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/021—Measuring pressure in heart or blood vessels
- A61B5/02108—Measuring pressure in heart or blood vessels from analysis of pulse wave characteristics
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
Abstract
The invention provides a detection method and a device of a blood pressure monitor, wherein the detection method of the blood pressure monitor comprises the following steps: s1: the blood pressure meter starts to work, and the inflatable cuff is inflated and deflated; s2: in the inflation and deflation process, acquiring pressure information, pulse wave information and heart rate information in the inflatable cuff of the detected person; s3: the processor receives the parameters detected in the step S2, calculates a blood pressure measurement value, uploads pressure information, pulse wave information and heart rate parameter information in the inflatable cuff to the cloud server, calls a compensation value and a compensation value coefficient prestored in the cloud server, obtains a measurement compensation value, and calculates a final measurement blood pressure value. The detection method of the blood pressure monitor provided by the invention can be used for matching out a proper compensation value and a compensation value coefficient by detecting and calculating the pressure variation of the inflatable cuff, the pulse wave information variation of the detected person and the heart rate parameter information and utilizing the functions of big data learning and analysis, thereby achieving the purpose of improving the detection precision.
Description
Technical Field
The invention relates to the technical field of medical instruments, in particular to a detection method and a detection device of a blood pressure monitor.
Background
Blood pressure refers to the lateral pressure, i.e., pressure, of blood flowing in a blood vessel against a unit area of the blood vessel wall. In each contraction and relaxation process of the heart, the pressure of blood flow on the blood vessel wall changes, the pressure in the arterial blood vessel and the pressure in the venous blood vessel are different, and the pressure of the blood vessels at different parts is also different. The pressure values corresponding to the systolic phase and the diastolic phase in the arterial vessel with the same height of the upper arm of the human body as the heart are clinically used for representing the blood pressure of the human body and are respectively called systolic pressure (high pressure) and diastolic pressure (low pressure).
Blood pressure is one of the indicators for analyzing circulatory diseases. Risk analysis of circulatory diseases based on blood pressure is effective for prevention of cardiovascular diseases such as cerebral stroke, heart failure, and myocardial infarction. In particular, early morning hypertension, in which early morning blood pressure rises, is associated with heart disease, cerebral stroke, and the like.
The blood pressure monitor is medical equipment which acquires human body analog signals and then obtains parameters through calculation according to an algorithm. The main non-invasive blood pressure measuring methods include korotkoff sound method and oscillometric method. The measurement principle of the oscillography is as follows: in the process of measuring the blood pressure by using the cuff inflation and deflation, a pressure oscillation wave appears in the cuff along with the reduction of the cuff pressure, and the blood pressure value of the brachial artery of the human body can be obtained from the cuff pressure oscillation wave by using a specific blood pressure estimation algorithm.
The non-invasive blood pressure measuring module generally comprises a cuff, a pressure acquisition system, a charging and discharging system, a microprocessor keyboard display part and a power supply. The working process of the inflation and deflation system is as follows: the cuff is first pressurized with a motor (or manually) to block arterial blood flow when a certain pressure is reached, and then the gas pressure oscillation wave in the cuff is detected during deflation. The air release mode comprises the following steps: multi-valve continuous bleed, step bleed, linear bleed, etc. The air pumping system mainly realizes the functions of inflating and deflating the cuff, is matched with the pressure sensor, and stops inflating when the air pressure is inflated to a preset value; the deflation action may be initiated in an emergency situation (e.g. over pressure) or at the end of a measurement, after deflation the pressure in the cuff may be reduced to atmospheric pressure.
When in use, the factors influencing the accurate measurement of the non-invasive blood pressure mainly have the following aspects:
(1) cuff size: too narrow a cuff can result in too high a blood pressure measurement. Conversely, too wide a cuff can result in too low a blood pressure measurement;
(2) the position of the cuff: the cuff should be placed on the upper arm at the same level as the heart to obtain a true zero reading, and too loose of the cuff can cause the blood pressure reading to be too high;
(3) human factors: errors caused by tremor, shock or other rhythmic or external pressure;
(4) for the obese person to be measured, the fat layer surrounding the upper arm can counteract the arterial pulse to make the pulse unable to reach the cuff, and the accuracy of measurement can be reduced;
(5) when the stethoscope is used for monitoring Korotkoff sounds, the required sounds and changes thereof need to be distinguished from a plurality of noises, and the electronic circuit is difficult to distinguish and filter the pressure fluctuation noises caused by the interferences, so that the accuracy of clinically measuring the blood pressure of a patient is reduced.
(6) The pressure acquisition system, the inflation and deflation system, the microprocessor keyboard display part and other parts on the non-invasive blood pressure measurement module have faults, so that the measurement is inaccurate.
In the prior art, various efforts have been made by medical personnel to improve the detection accuracy. For example, in the patent with publication number CN111317458A, a blood pressure detection system based on deep learning is disclosed, which obtains recent blood pressure detection data of a user, performs comparison and analysis on the blood pressure detection data according to time nodes by using an LSTM neural network algorithm to generate a time series model of a blood pressure state specific to the user, and then determines whether the blood pressure is abnormal or not by similarity matching, comparing a real detection value with a simulated trend value.
In patent publication No. CN110167436A, biological information and motion information of a detection object of a biosensor and a motion sensor are provided, and then an analysis unit determines whether or not a time history of a value of the biological information from a value thereof falling to a normal value is within an appropriate range, thereby reliably determining whether or not the detection object is abnormal, reducing the amount of biological information, and achieving the purpose of accurate detection.
Most of the electronic blood pressure measuring devices on the market are based on an oscillometric method, but the measuring result is not very reliable: when the heart rate waves are integrally smooth and the peak value is obvious, the measurement result is reliable; the technical problem to be solved by the technical staff in the field is always how to avoid the use interference of the blood pressure monitor during detection and improve the detection accuracy when the waveform is complex and the peak value is not obvious.
Disclosure of Invention
In view of the above, the present invention is directed to a method and an apparatus for detecting a blood pressure monitor, and provides a method and an apparatus for detecting a blood pressure monitor, which perform parameter compensation according to detected data in combination with big data, so as to reduce the influence of detection misalignment caused by cuff size, cuff placement position, human factors, physical problems, and the like.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a blood pressure monitor detection method comprises the following steps:
s1: the blood pressure meter starts to work, and the inflatable cuff is inflated and deflated;
s2: in the inflation and deflation process, acquiring pressure information, pulse wave information and heart rate information in the inflatable cuff of the detected person;
s3: the processor receives the parameters detected in the step S2, calculates a blood pressure measurement value, uploads pressure information, pulse wave information and heart rate parameter information in the inflatable cuff to the cloud server, retrieves a compensation value and a compensation value coefficient prestored in the cloud server, obtains a measurement compensation value, and calculates a final measured blood pressure value, wherein the compensation value Q is a parameter value preset according to experience and associated with pressure fluctuation or pulse wave amplitude fluctuation, and the compensation value coefficient η is a parameter value preset according to experience and associated with heart rate fluctuation.
Further, in step S2, the following detection steps are included:
s21: the inflatable cuff is inflated for the first time under the action of a control command, and the pressure value of the inflatable cuff reaches a first pressure value P1The duration of the inflation is T1(ii) a The inflatable cuff is inflated for the second time under the action of the control command, and the inflation time length is T2Detecting that the pressure value of the inflatable cuff is the second pressure value P at the moment2(ii) a If the second pressure value P2Not reaching the target pressure PTargetContinuing to inflate the inflatable cuff until the pressure of the inflatable cuff reaches PTargetIn which P isTargetThe maximum value before systolic pressure of the subject is determined, wherein the first inflation phase comprises at least two heart rate beats, the second inflation phase comprises at least one heart rate beat, and the first pressure value P is1The inflation time is T for a pressure parameter preset according to experience2Is based onExperience preset time parameters;
s22: starting decompression, slowly deflating at a constant speed, gradually reducing the pressure of the inflatable cuff, and detecting the pulse wave information of the detected person, wherein each deflation step comprises at least one heart rate beat;
s23: pressure information, pulse wave information, heart rate information and time parameter information in the inflatable cuff of the detected person are obtained.
Further, in step S3, the processor uploads the pressure information, the pulse wave information, the heart rate information, and the time parameter information of the inflatable cuff of the subject obtained in step S2 to the cloud server synchronously, and performs comparison analysis with the parameters in the cloud server, and if the pressure variation, the pulse wave information variation, and the heart rate parameter information of the inflatable cuff calculated by the processor exceed a preset threshold in the cloud server, it is determined that the detection is abnormal; if the adjustable interval is preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor, the compensation value under the corresponding parameter is taken, and if the standard values preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor are consistent, the compensation value is 0.
Further, in the first inflation lack interval, if the inflation is carried out for a time period T1Has a time length of [ T40、T20Entering a first adjustable compensation program to obtain a first compensation value Q1(ii) a In the second inflation interval, if the inflation time is T2When the target pressure P is not reachedTargetThen enter the second adjustable compensation procedure to obtain the second compensation value Q2In the deflation process, according to the variation of the difference value between the inflatable cuff pressure and the pulse wave crest detected by the pressure sensor and the variation of the difference value between the pulse wave crests of two adjacent deflation intervals, a third adjustable compensation program is called to obtain a third compensation value Q3Wherein the first compensation value Q1Duration T of inflation for preset follow in cloud server1And a preset time length T30The difference-related compensation parameter, T40、T20For entering upper and lower limits of a preset adjustable interval, T, preset empirically30To reach a first pressure value P in a first inflation interval1The standard time length of, the second compensation value Q2A second pressure value P preset in the cloud server2With a target pressure PTargetA difference-related compensation parameter, the third compensation value Q3And the compensation parameters are preset in the cloud server and are related to the variation of the inflatable cuff pressure and the pulse wave crest difference.
Further, in step S3, a blood pressure measurement value Q is calculated from the detected pulse wave amplitude informationMeasuringA first compensation value Q obtained according to the change of the inflatable cuff pressure in the first inflation interval in the detection process1Obtaining a first compensation value coefficient eta according to the heart rate variation of the first inflation interval1A second compensation value Q obtained according to the change of the inflatable cuff pressure in the second inflation interval in the detection process2Obtaining a second compensation value coefficient eta according to the heart rate variation of the second inflation interval2Obtaining a third compensation value Q of each deflation stage according to the variation of the difference value between the inflatable cuff pressure and the pulse wave crest of the deflation stage3Multiple third compensation values Q of multiple deflation phases3Summing to obtain total third compensation value QPutObtaining and third compensation value coefficient eta according to the heart rate variation in the deflation stagePutFinally, the blood pressure value Q is measuredFinal (a Chinese character of 'gan')＝Q1*η1+Q2*η2+QPut*ηPut。
Further, if the average value of the heart rate parameters measured in the detection interval is larger than a normal heart rate value prestored in the cloud server, η is smaller than 1; if the average value of the heart rate parameters measured in the detection interval is smaller than the normal heart rate value prestored in the cloud server, eta is larger than 1.
Further, two pressure sensors are provided in the inflatable cuff, and the two pressure sensors are provided at symmetrical sides of the central axis of the reel of the inflatable cuff, and in step S2, if the two pressure sensors measure the pressure difference Δ P in the inflatable cuff at the time corresponding to the measured pressure difference Δ PMeasuringIs greater thanA predetermined difference Δ PPreparation ofIf so, judging that the pressure sensor has a fault and sending an information prompt; if the measured difference value delta P of the sensor at the corresponding momentMeasuring＜ΔPPreparation ofThe pressure in the inflatable cuff detected by the two sensors is averaged to obtain the pressure value, delta P, in the inflatable cuffPreparation ofIs the empirical difference when the pressure sensor is not malfunctioning.
Further, the blood pressure monitor detection method further comprises the following steps:
s4, if the final measured blood pressure value calculated in S3 has no step, displaying the calculated final measured blood pressure value; if the final measured blood pressure value calculated in the S3 is in a step, sending a prompt message, wherein the step refers to QMeasuringAnd QFinal (a Chinese character of 'gan')Belongs to two different numerical value intervals of hypotension, I-level hypertension (mild), II-level hypertension (moderate) and III-level hypertension (severe).
Further, before step S1, the method further includes the following steps:
and SA: and inputting basic information of the detected person, including name, sex, age, height and weight, for matching with pre-stored information of corresponding persons or similar persons in the cloud database, and acquiring corresponding compensation values and compensation value coefficients.
Compared with the prior art, the detection method of the blood pressure instrument has the following advantages:
(1) according to the detection method of the blood pressure monitor, the compensation value of the cloud server is obtained by detecting and calculating the pressure variation of the inflatable cuff, the pulse wave information variation of the detected person and the heart rate parameter information, so that the real blood pressure value of the detected person is accurately measured, the real blood pressure detection is completed at low cost, high efficiency and high accuracy, the problem of detection distortion caused by attachment factors of the inflatable cuff and human factors is avoided, and the detection method of the blood pressure monitor is beneficial to prevention and discovery of focuses such as hypertension or other cardiovascular and cerebrovascular diseases.
(2) According to the detection method of the blood pressure monitor, the detection process is divided into a plurality of intervals through big data learning, analysis and matching of the appropriate compensation value and the compensation value coefficient, and then the measured data of each interval is compared with the normal parameters or the change curve preset in the cloud server, so that whether the measured data needs to be compensated or not is judged, and the purpose of improving the detection precision is achieved.
Another object of the present invention is to provide a blood pressure monitor detecting apparatus for performing the blood pressure monitor detecting method as described above, including:
an inflatable cuff for winding around or sleeving on the left upper arm of a subject, wherein a pressure sensor is provided in the inflatable cuff, and the pressure sensor can acquire pressure information in the inflatable cuff and pulse wave information of the subject;
the heart rate detection unit is used for acquiring the heart rate information of the detected person;
the cloud server is internally provided with a blood pressure state time series compensation model and an adjustable compensation program, and a corresponding compensation value and a compensation coefficient can be matched according to pressure information in the inflatable cuff, pulse wave information of the detected person and heart rate information of the detected person;
the blood pressure measuring device comprises a display part, an operating part, a storage unit and a processor, wherein the processor can receive pressure information in the inflatable cuff, pulse wave information of a detected person and heart rate information of the detected person, can store the received information in a certain time period into the storage unit, interacts the stored information with cloud server information, acquires a corresponding compensation value and a compensation coefficient, and displays a final measured blood pressure value through the display part.
Compared with the prior art, the detection device of the blood pressure instrument and the detection method of the blood pressure instrument have the same advantages, and are not repeated herein.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a blood pressure monitor according to an embodiment of the present invention;
FIG. 2 illustrates the inflation and deflation of the inflatable cuff in accordance with an embodiment of the present invention;
FIG. 3 is a schematic flow chart of a detection method of a blood pressure monitor according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating the process of acquiring pressure information, pulse wave information and heart rate information in the inflatable cuff in the detection method of the blood pressure monitor according to the embodiment of the present invention;
description of reference numerals:
the device comprises an inflatable cuff 1, a first pressure sensor 101, a second pressure sensor 102, an inflation valve 103, an air release valve 104, an air storage tank 2, a switching pump 3, a converter 4, a blood pressure measuring device 5, a display part 501, an operation part 502, a storage unit 503, a processor 504, a heart rate detection unit 6 and a cloud server 7.
Detailed Description
In order to make the technical means, objectives and functions of the present invention easy to understand, embodiments of the present invention will be described in detail with reference to the specific drawings.
It should be noted that all terms used in the present invention for directional and positional indication, such as: the terms "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "inner", "outer", "top", "lower", "lateral", "longitudinal", "center", and the like are used only for explaining the relative positional relationship, connection, and the like between the respective members in a certain state (as shown in the drawings), and are only for convenience of describing the present invention, but do not require that the present invention must be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. In addition, the descriptions related to "first", "second", etc. in the present invention are for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning a fixed connection, a removable connection, or an integral connection; may be a mechanical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Example 1
According to survey statistics, cardiovascular diseases become one of the main diseases affecting human health in the modern society, and the death rate is high. Hypertension is the most common one of cardiovascular diseases, and the incidence increases with age. The blood pressure measurement is beneficial to finding hypertension in advance and preventing and treating cardiovascular and cerebrovascular diseases and the like.
Table 1 is a definition of the world health organization and the International Union of hypertension as to blood pressure levels, which are generally considered to be hypertensive when the systolic pressure is above 140 mmHg.
Table 1: definition table of blood pressure level of adults over 18 years old
| Categories | Systolic pressure (mmHg) | Diastolic blood pressure (mmHg) |
| Ideal blood pressure | <120 | <80 |
| Normal blood pressure | <130 | <85 |
| Normal high value | 130～139 | 85～89 |
| Grade I hypertension (mild) | 140～159 | 90～99 |
| Grade II hypertension (moderate) | 160～179 | 100～109 |
| Grade III hypertension (severe) | ≥180 | ≥110 |
| Simple contractile hypertension | ≥140 | <90 |
According to the table, the ideal blood pressure, mild high pressure, moderate high pressure and severe high pressure have continuously changing boundary parameters, and in the normal parameter range, if the detection is incorrect or the incorrect detection value does not jump out of the parameter range of the area, the influence on the prevention and diagnosis of the disease is small. However, if the detection value is distorted at successive boundary step changes, a more complicated medical accident may be caused.
Based on this, the application provides a blood pressure monitor detection method, including:
s1: the blood pressure meter starts to work, and the inflatable cuff is inflated and deflated;
s2: in the inflation and deflation process, acquiring pressure information, pulse wave information and heart rate information in the inflatable cuff of the detected person;
s3: the processor receives the parameters detected in the step S2, calculates a blood pressure measurement value, uploads pressure information, pulse wave information and heart rate parameter information in the inflatable cuff to the cloud server, calls a compensation value and a compensation value coefficient prestored in the cloud server, obtains a measurement compensation value, and calculates a final measurement blood pressure value.
The invention discloses a detection method of a blood pressure monitor, when detecting blood pressure, firstly attaching an inflatable cuff of the blood pressure monitor on the left upper arm of a detected person, simultaneously attaching a heart rate detection unit of the blood pressure monitor on the finger of the detected person, then starting the blood pressure monitor to work, inflating and deflating the inflatable cuff according to preset time or a preset inflation instruction, in the process, a sensor module acquires pressure information, pulse wave information, heart rate information and time parameter information in the inflatable cuff of the detected person, a processor calculates the received detection parameters, acquires the pressure variation, the pulse wave information variation and the heart rate parameter information of the time period, uploads the information to a cloud server, the blood pressure monitor calculates the measured value of the blood pressure through a calculation unit of the processor, and calls a compensation value matched with the detection information in a cloud database according to the detection information, and adding the calculated blood pressure measurement value and the measurement compensation value to obtain a final measured blood pressure value.
The detection method of the blood pressure monitor avoids the problem of detection distortion caused by attachment factors of the inflatable cuff and human factors, obtains the compensation value of the cloud server by detecting and calculating the pressure variation of the inflatable cuff, the pulse wave information variation of the detected person and the heart rate parameter information, thereby accurately measuring the real blood pressure value of the detected person, completing the real blood pressure detection with low cost, high efficiency and high accuracy, and being beneficial to the prevention and discovery of the focus of hypertension or other cardiovascular and cerebrovascular diseases and the like.
As a preferred example of the present invention: in step S2, the following detection steps are included:
s21: the inflatable cuff is inflated for the first time under the action of a control command, and the pressure value of the inflatable cuff reaches a first pressure value P1The duration of the inflation is T1(ii) a The inflatable cuff is inflated for the second time under the action of the control command, and the inflation time length is T2Detecting that the pressure value of the inflatable cuff is the second pressure value P at the moment2(ii) a If the second pressure value P2Not reaching the target pressure PTargetContinuing to inflate the inflatable cuff until the pressure of the inflatable cuff reaches PTargetIn which P isTargetThe maximum value before the systolic pressure of the detected person is obtained, wherein the first inflation phase at least comprises two heart rate beats, and the second inflation phase at least comprises one heart rate beat;
s22: starting decompression, slowly deflating at a constant speed, gradually reducing the pressure of the inflatable cuff, detecting the pressure change information and the pulse wave information of the inflatable cuff of the detected person, and each deflation step comprises at least one heart rate beat;
s23: pressure information, pulse wave information, heart rate information and time parameter information in the inflatable cuff of the detected person are obtained.
The invention divides the inflation stage of the inflatable cuff into at least two sections, can rapidly judge whether the inflatable cuff is worn perfectly and can carry out compensation calculation, divides the deflation into a plurality of stages, can obtain a plurality of compensation parameters by comparing and analyzing the plurality of stages, thereby ensuring the final compensation parameter value to be calculated reliably, and simultaneously, uses the first pressure value P respectively in the two sections1And the inflation time is T2And the normal work of the pressure sensor can be ensured by controlling, and the accuracy of signal detection is ensured.
As a preferred example of the present invention: in step S3, the processor synchronously uploads the pressure information, the pulse wave information, the heart rate information, and the time parameter information of the inflatable cuff of the subject obtained in step S2 to the cloud server, and performs comparison analysis with the parameters in the cloud server, and if the pressure variation, the pulse wave information variation, and the heart rate parameter information of the inflatable cuff calculated by the processor exceed a preset threshold in the cloud server, it is determined that the detection is abnormal; if the adjustable interval is preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor, the compensation value under the corresponding parameter is taken, and if the standard values preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor are consistent, the compensation value is 0.
The preset threshold value and the preset adjustable interval in the cloud server are parameters set according to experience, and the compensation value set in the preset adjustable interval in the cloud server is a compensation parameter preset according to experience or set according to continuous learning of an LSTM neural network algorithm.
And calling an adjustable compensation program prestored in the cloud server according to the actual measurement data of the pressure of the detected person to obtain a corresponding compensation value Q, and calling the adjustable compensation program prestored in the cloud server according to the actual measurement data of the heart rate of the detected person to obtain a corresponding compensation value coefficient eta.
The compensation value Q is a parameter value which is preset empirically and is related to pressure fluctuation or pulse wave amplitude fluctuation, and the compensation value coefficient eta is a parameter value which is preset empirically and is related to heart rate fluctuation.
In particular, in the example of the invention, by dividing the inflation operation into at least two intervals, in the first inflation interval, by presetting the first pressure value P1For the limit, the inflation duration T is obtained1. In the process, if the inflation time is T1＞T10，T10Pressurizing to a first pressure value P when the inflatable cuff is not worn1Or the length of time of inflation in the first inflation phase reaches T10When the pressure in the inflatable cuff is less than the first pressure value P1Indicating improper attachment of the inflatable cuffThe inflatable cuff needs to be re-secured. If the inflation duration is T1Has a time length of [ T40、T20Entering a first adjustable compensation program to obtain a first compensation value Q1Wherein T is40＜T30＜T20＜T10，T30The first standard duration, T, set for the statistical result with the highest frequency in the first inflation interval in normal operation by the person skilled in the art, or the first standard duration, T, set for continuous learning by the LSTM neural network algorithm40、T20The upper and lower limit values, T, for entering the preset adjustable interval, which are preset empirically by a person skilled in the art30To reach a first pressure value P in a first inflation interval according to the same detector1The standard time length of (c). The first compensation value Q1Duration T of inflation for preset follow in cloud server1And a preset time length T30The difference value is associated with a compensation parameter.
As an example of the present invention, when T40＜T1＜T30When the first compensation value is negative, when T30＜T1＜T20When the first compensation value is positive, when T20＜T1＜T10Re-inflating after deflation, adding 1 to the abnormal reading statistic of the pressure sensor, and if the second detection occurs, inflating time T1Has a time length of [ T40、T20Before, the second inflation interval is carried out, otherwise, the inflatable cuff is worn again.
In the second inflation interval, the inflation time is T2For limiting, obtaining the pressure increase in the inflatable cuff, and determining the second pressure value P of the inflatable cuff at the moment2Whether or not the target pressure P is reachedTarget，T2To achieve the target pressure P for the person skilled in the art during the second inflation interval in normal operationTargetThe time length with the highest frequency appearing in the time statistic result, wherein T10、T20、T30、T40、T2Are all time parameters of a very short time, and all the above parameters are stored in the cloud server and can be improved ifThe inflation time is T2When the target pressure P is not reachedTargetThen enter the second adjustable compensation procedure to obtain the second compensation value Q2The second compensation value Q2A second pressure value P preset in the cloud server2With a target pressure PTargetThe difference value is associated with a compensation parameter. As an example of the present invention, when P2＜PTargetThe second compensation value is a positive number.
In the deflation process, calling a third adjustable compensation program according to the inflatable cuff pressure information and the blood pressure pulse wave amplitude information detected by the pressure sensor and the variation of the pulse wave crest difference value of two adjacent deflation intervals to obtain a third compensation value Q3. For example, the first deflation interval has a peak value of A1The wave peak value of the second deflation interval is A2The wave peak value of the third deflation interval is A3，ΔA1＝A1-A2，ΔA2＝A2-A3The third compensation value Q3Is a tracking delta A preset in a cloud server1And Δ A2The difference value is associated with a compensation parameter. As an example of the invention, if Δ A1＞ΔA2The third compensation value is positive, if Δ A1＜ΔA2The third compensation value is negative, if Δ A1＝ΔA2The third compensation value is 0, wherein if N deflation steps are included in step S22, the third compensation value includes N-2 values, and the total third compensation value Q isPutIs the sum of N-2 numerical values. Preferably, 5-8 air release steps are set in the step S22, and each air release step comprises at least one heart rate beat.
If the average value of the heart rate parameters measured in the detection interval is larger than the normal heart rate value prestored in the cloud server, the eta is smaller than 1; if the average value of the heart rate parameters measured in the detection interval is smaller than the normal heart rate value prestored in the cloud server, eta is larger than 1. If the difference between the average value of the measured heart rate parameters in the detection interval and the normal heart rate value is larger, the absolute value of the difference between eta and 1 is also larger.
The device is used for improving the problem of detection misalignment caused by a white overcoat effect, a day and night change effect, a shaking effect and the like, and further improving the accuracy of blood pressure detection.
As an example of the present invention, the first compensation value Q1The second compensation value Q2Total third compensation value QPutA first compensation value coefficient eta corresponding to the first inflation interval for specific values of systolic pressure and diastolic pressure1A second compensation value coefficient eta corresponding to the second inflation interval2Third compensation value coefficient eta corresponding to the air bleeding intervalPutIn step S3, a blood pressure measurement value Q is calculated from the detected pulse wave amplitude informationMeasuringAccording to the first compensation value, the second compensation value and the third compensation value determined in the detection process, the blood pressure measurement value Q is calculatedMeasuringThe first compensation value Q1And a first compensation value coefficient eta1The product of, the second compensation value Q2And a second compensation value coefficient eta2Product of (d), total third compensation value QPutAnd a third compensation value coefficient etaPutIs added and summed as the final measured blood pressure value QFinal (a Chinese character of 'gan')，QFinal (a Chinese character of 'gan')＝Q1*η1+Q2*η2+QPut*ηPut。
Because when using, the measurement accuracy of cuff pressure can all be influenced to position, human factor, physique problem are placed to cuff size, cuff, and this application is through carrying out a plurality of intervals to measurement process and dividing, and then all compare the normal parameter or the change curve of predetermineeing in every interval and the high in the clouds server to judge whether need compensate measurement data, reach the purpose that improves detection accuracy.
As a preferred example of the present invention, the blood pressure monitor calculates the blood pressure measurement value based on the pulse wave amplitude information in the same manner as the conventional blood pressure monitor, and details thereof are not repeated.
As a preferred example of the present invention, two pressure sensors are disposed in the inflatable cuff, and the two pressure sensors are disposed at two symmetrical sides of the central axis of the reel of the inflatable cuff, and in step S2, if the two pressure sensors correspond to the measurement of the time of dayPressure differential Δ P in inflatable cuffMeasuringGreater than a predetermined difference Δ PPreparation ofIf so, judging that the pressure sensor has a fault and sending an information prompt; if the measured difference value delta P of the sensor at the corresponding momentMeasuring＜ΔPPreparation ofThe pressure in the inflatable cuff detected by the two sensors is averaged to obtain the pressure value in the inflatable cuff, wherein the pressure value is delta PPreparation ofIs the empirical difference when the pressure sensor is not malfunctioning.
The accuracy of the pressure sensor for detecting and acquiring the pressure information in the inflatable cuff is further improved, the reliability and accuracy of the compensation value Q and the compensation value coefficient eta prestored in the matching cloud server are further improved, and the detection precision is further improved.
In the existing blood pressure monitor, when a user detects the blood pressure at different places, different times, different devices and different persons, the measured value of the blood pressure changes, the detected person and the detected person cannot determine the most important factor for calculating the blood pressure, and whether the pressure sensor works normally or not, so that different detection results are often disconcerted, especially when abnormal detection information data occurs. And this application is through setting up two pressure sensor, and with two pressure sensor symmetry settings, judges whether pressure sensor normally works through the pressure sensor difference, and when using, also can calculate through the detection of two sensors obtain corresponding calculation blood pressure measured value and first offset second offset, third offset to improve accurate definite and the reliability of measuring the blood pressure value detection.
As a preferred example of the present invention, the first compensation value Q is set in the cloud server1Including at least six parameters, a first compensation value Q1Is the value range of (3, 3), the second compensation value Q in the cloud server2Including at least six parameters, a second compensation value Q2Is in a value range of [ 0, 1 ], and the third compensation value Q is in the cloud server3Including at least six parameters, a third compensation value Q3The value range of (1) is [ 2, 2 ], and the first compensation value coefficient eta in the cloud server1Comprising at least six parameters, saidFirst compensation value coefficient eta1The value range of (1.2) is [ 0.8 ], and the second compensation value coefficient eta in the cloud server2Including at least six parameters, the second compensation value coefficient eta2The value range of (1.2) is [ 0.9 ], and the third compensation value coefficient eta in the cloud serverPutIncluding at least six parameters, the third compensation value coefficient etaPutThe value range of (1) is [ 0.7, 1.3 ]. The first compensation value Q1The second compensation value Q2A third compensation value Q3The first compensation value coefficient eta1The second compensation value coefficient eta2The third compensation value coefficient etaPutIn order to analyze set empirical parameters according to clinical data statistics and neural network algorithms, as an example of the invention, differential amplitudes of pulse waves in a pressurization stage and a depressurization stage are obtained according to clinical data obtained by detection equipment, after pulse wave peak points are extracted in the process of measuring blood pressure, denoising is carried out by adopting digital filtering according to a preset pulse wave peak value extraction mode and a preset pulse wave peak value processing mode, the pulse wave peak values are subjected to curve fitting so as to convert discrete signals into continuous signals, fitting of the curves adopts fitting modes such as least square fitting, Gaussian fitting, adaptive filter Kalman fitting, neural network fitting and the like, the average pressure of an inflatable cuff corresponding to maximum value points corresponding to the fitting curves is calculated according to an amplitude coefficient method, the numerical values of diastolic pressure and systolic pressure are calculated according to an amplitude coefficient method, and the heart rate value of each stage can be obtained according to a heart rate calculation formula, the time difference of the heart rates is the average value of the time interval between the current heart rate beat and the last heart rate beat or the time interval between multiple heart rate beats, and the fitting calculation value of the blood pressure and the heart rate is obtained; meanwhile, for the same detected person, a direct measurement method is adopted to obtain the blood pressure value and the heart rate value of the detected person in the same time period, the measured value is obtained, a ternary equation curve is fitted according to the fitting calculated value and the measured value, the compensation value and the compensation value coefficient of each stage are obtained, a blood pressure state time series compensation model is established, deep learning can be continuously carried out on the model according to increased data, therefore more compensation value and compensation value coefficient data are obtained, and the data are uploaded to a cloud database.
As a preferred example of the present invention, the blood pressure monitor detecting method further includes:
s4, if the final measured blood pressure value calculated in S3 has no step, displaying the calculated final measured blood pressure value; and if the final measured blood pressure value is calculated to be higher in step in S3, sending out prompt information.
The higher order referred to in this application is, for example, when the blood pressure measurement value is calculated to be a normal value, including systolic pressure (mmHg) or diastolic pressure (mmHg), and after adding the measurement compensation value, the blood pressure value finally measured becomes high blood pressure I (mild), and this time is defined as higher order, and when going from high blood pressure I (mild) to high blood pressure II (moderate), and from high blood pressure II (moderate)) to high blood pressure III (severe), the situation when going from normal blood pressure to simple systolic hypertension is similar to the above-mentioned higher order, and it is not described in detail here, and the higher order refers to Q-levelMeasuringAnd QFinal (a Chinese character of 'gan')The blood pressure ranges are different from hypotension, high blood pressure grade I (mild), high blood pressure grade II (moderate) and high blood pressure grade III (severe).
When the steps are not generated, a more accurate blood pressure measurement value is obtained through the detection value and the compensation value, when the steps are generated after compensation, an operator is reminded through prompt information, the operator can suspend retesting or data acceptance according to actual requirements, the mode is convenient for the operator to independently select according to actual conditions, and when the retesting is selected, the inflatable cuff is inflated again to the position PTargetThen, the step deflation is carried out again, the step deflation is divided into two to three stages, the detection data of the first deflation stage is combined, the second final blood pressure measurement value is calculated, if the blood pressure values measured in two times are in the same blood pressure interval, the first final blood pressure measurement value is displayed, and if the blood pressure values measured in two times are in the two blood pressure intervals, the second final blood pressure measurement value is displayed.
The accuracy and the efficiency of blood pressure detection are further improved by the arrangement.
As a preferred example of the present invention, before step S1, the following steps are further included:
and SA: the basic information of the detected person is input, including name, sex, age, height and weight.
This setting is convenient for by the person of being detected when sphygmomanometer detects blood pressure, can acquire personnel or similar personnel information that correspond in the high in the clouds database, and then improves the reliability of transferring and detecting parameter phase-match compensation value, further improves and detects the precision.
As a preferred example of the present invention, when the blood pressure monitor starts to work, the blood pressure monitor can be in communication connection with a cloud server through a communication serial port and a communication module, the cloud server can automatically identify the brand and model of the blood pressure monitor, data in the cloud server is slightly adjusted for the brand and model of different blood pressure monitors, and if the model cannot be matched with the corresponding model, data of the same series of the same brand is selected for matching.
Adult pathological patterns include seven conditions of weak pulse, obesity, old people, tachycardia, bradycardia, moderate exercise and strenuous exercise.
By detection and analysis, the following pathological pattern test results are obtained:
| pathological model | Standard of merit | Comparative example 1 | Comparative example 2 | Examples of the present application |
| Old age | 150/110 | 150±3/110±5 | 150±3/110±7 | 150±1.2/110±1.5 |
| Obesity | 120/80 | 120±2/80±3 | 120±4/80±7 | 120±0.8/80±1.1 |
| Moderate exercise | 140/90 | 140±2/90±3 | 140±1/90±8 | 140±0.5/90±0.8 |
| Strenuous exercise | 140/90 | 140±5/90±2 | 140±2/90±8 | 140±0.8/90±0.8 |
| Tachycardia of heart | 120/105 | 120±2/105±2 | 120±2/105±5 | 120±0.6/105±0.4 |
| Bradycardia | 120/60 | 120±2/60±1 | 120±1/60±8 | 120±0.9/60±0.5 |
| Weak pulse | 110/80 | 110±2/80±3 | 110±7/80±7 | 110±1.2/80±1.1 |
The method comprises the following steps that a comparison example 1 is used for detecting measurement data of a sphygmomanometer outside a country, a comparison example 2 is used for detecting measurement data of a sphygmomanometer inside a country, the measurement data detected by the sphygmomanometer detecting method disclosed by the application is used for a sphygmomanometer inside a country, and according to a test result, the accuracy of the number of the sphygmomanometer detected is greatly improved, the error is small, and the stability is high.
Example 2
The invention also discloses a blood pressure monitor detection device, which comprises:
an inflatable cuff 1 for wrapping or sleeving around the left upper arm of a subject, wherein a pressure sensor is provided in the inflatable cuff 1, and the pressure sensor can acquire pressure information in the inflatable cuff 1 and pulse wave information of the subject;
the heart rate detection unit 6 is used for acquiring the heart rate information of the detected person;
the cloud server 7 is internally provided with a blood pressure state time series compensation model and an adjustable compensation program, and a corresponding compensation value and a corresponding compensation coefficient can be matched according to the pressure information in the inflatable cuff 1, the pulse wave information of the detected person and the heart rate information of the detected person;
the blood pressure measuring device 5 comprises a display part 501, an operation part 502, a storage unit 503 and a processor 504, wherein the processor 504 can receive pressure information in the inflatable cuff 1, pulse wave information of a detected person and heart rate information of the detected person, can store the information received within a certain time period into the storage unit 503, and can interact the stored information with information of a cloud server 7 to obtain a corresponding compensation value and a corresponding compensation coefficient and display a final measured blood pressure value through the display part 501.
As an example of the present invention, two pressure sensors, namely a first pressure sensor 101 and a second pressure sensor 102, are disposed in the inflatable cuff 1, the inflatable cuff 1 is communicated with the gas tank 2 through an inflation valve 103 and a deflation valve 104, the inflation valve 103 is used for inflating the gas in the gas tank 2 into the inflatable cuff 1 to realize pressurization of the gas into the inflatable cuff 1, the deflation valve 104 is used for discharging the gas in the inflatable cuff 1 into the gas tank 2 to realize depressurization of the inflatable cuff 1, a switching pump 3 is disposed between the gas tank 2 and the inflation valve 103 and the deflation valve 104, and the switching pump 3 is used for realizing reliable adjustment of the gas in the gas tank 2 and the inflatable cuff 1 during pressurization and depressurization.
As an example of the present invention, the blood pressure monitor detecting device further includes:
and a converter 4, wherein the converter 4 is used for converting the pressure information in the inflatable cuff 1, the pulse wave information of the detected person and the heart rate information of the detected person into digital signals and feeding the digital signals back to the blood pressure measuring device 5.
The converter 4 according to the invention is an a/D converter.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A blood pressure monitor detection method is characterized by comprising the following steps:
s1: the blood pressure meter starts to work, and the inflatable cuff is inflated and deflated;
s2: in the inflation and deflation process, acquiring pressure information, pulse wave information and heart rate information in the inflatable cuff of the detected person;
s3: the processor receives the parameters detected in the step S2, calculates a blood pressure measurement value, uploads pressure information, pulse wave information and heart rate parameter information in the inflatable cuff to the cloud server, retrieves a compensation value and a compensation value coefficient prestored in the cloud server, obtains a measurement compensation value, and calculates a final measured blood pressure value, wherein the compensation value Q is a parameter value preset according to experience and associated with pressure fluctuation or pulse wave amplitude fluctuation, and the compensation value coefficient η is a parameter value preset according to experience and associated with heart rate fluctuation.
2. The method for detecting a blood pressure monitor according to claim 1, wherein the step S2 includes the following steps:
s21: the inflatable cuff is inflated for the first time under the action of a control command, and the pressure value of the inflatable cuff reaches a first pressure value P1The duration of the inflation is T1(ii) a The inflatable cuff is inflated for the second time under the action of the control command, and the inflation time length is T2Detecting that the pressure value of the inflatable cuff is the second pressure value P at the moment2(ii) a If the second pressure value P2Not reaching the target pressure PTargetContinuing to inflate the inflatable cuff until the pressure of the inflatable cuff reaches PTargetIn which P isTargetThe maximum value before systolic pressure of the subject is determined, wherein the first inflation phase comprises at least two heart rate beats, the second inflation phase comprises at least one heart rate beat, and the first pressure value P is1The inflation time is T for a pressure parameter preset according to experience2Is a time parameter preset according to experience;
s22: starting decompression, slowly deflating at a constant speed, gradually reducing the pressure of the inflatable cuff, detecting the pressure change information and the pulse wave information of the inflatable cuff of the detected person, and each deflation step comprises at least one heart rate beat;
s23: pressure information, pulse wave information, heart rate information and time parameter information in the inflatable cuff of the detected person are obtained.
3. The method of claim 2, wherein in step S3, the processor synchronously uploads the pressure information, the pulse wave information, the heart rate information, and the time parameter information of the inflatable cuff of the subject obtained in step S2 to the cloud server, and performs a comparison analysis with the parameters in the cloud server, and if the pressure variation, the pulse wave information variation, and the heart rate parameter information of the inflatable cuff calculated by the processor exceed the preset threshold in the cloud server, it is determined that the detection is abnormal; if the adjustable interval is preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor, the compensation value under the corresponding parameter is taken, and if the standard values preset in the cloud server for the pressure variation, the pulse wave information variation and the heart rate parameter information of the inflatable cuff calculated by the processor are consistent, the compensation value is 0.
4. The method as claimed in claim 3, wherein during the first inflation gap, if the inflation time period T is short1Has a time length of [ T40、T20Entering a first adjustable compensation program to obtain a first compensation value Q1(ii) a In the second inflation interval, if the inflation time is T2When the target pressure P is not reachedTargetThen enter the second adjustable compensation procedure to obtain the second compensation value Q2In the deflation process, according to the variation of the difference value between the inflatable cuff pressure and the pulse wave crest detected by the pressure sensor and the variation of the difference value between the pulse wave crests of two adjacent deflation intervals, a third adjustable compensation program is called to obtain a third compensation value Q3Wherein the first compensation value Q1Duration T of inflation for preset follow in cloud server1And a preset time length T30The difference-related compensation parameter, T40、T20For entering upper and lower limits of a preset adjustable interval, T, preset empirically30To reach a first pressure value P in a first inflation interval1The standard time length of, the second compensation value Q2A second pressure value P preset in the cloud server2With a target pressure PTargetA difference-related compensation parameter, the third compensation value Q3And the compensation parameters are preset in the cloud server and are related to the variation of the inflatable cuff pressure and the pulse wave crest difference.
5. The sphygmomanometer of claim 4The measurement method is characterized in that in step S3, a blood pressure measurement value Q is calculated based on the detected pulse wave amplitude informationMeasuringA first compensation value Q obtained according to the change of the inflatable cuff pressure in the first inflation interval in the detection process1Obtaining a first compensation value coefficient eta according to the heart rate variation of the first inflation interval1A second compensation value Q obtained according to the change of the inflatable cuff pressure in the second inflation interval in the detection process2Obtaining a second compensation value coefficient eta according to the heart rate variation of the second inflation interval2Obtaining a third compensation value Q of each deflation stage according to the variation of the difference value between the inflatable cuff pressure and the pulse wave crest of the deflation stage3Multiple third compensation values Q of multiple deflation phases3Summing to obtain total third compensation value QPutObtaining and third compensation value coefficient eta according to the heart rate variation in the deflation stagePutFinally, the blood pressure value Q is measuredFinal (a Chinese character of 'gan')＝Q1*η1+Q2*η2+QPut*ηPut。
6. The method for detecting the blood pressure monitor according to claim 5, wherein η is less than 1 if the average value of the heart rate parameters measured in the detection interval is greater than a normal heart rate value prestored in the cloud server; if the average value of the heart rate parameters measured in the detection interval is smaller than the normal heart rate value prestored in the cloud server, eta is larger than 1.
7. The method as claimed in claim 6, wherein two pressure sensors are provided in the inflatable cuff, the two pressure sensors are provided symmetrically on both sides of the central axis of the reel of the inflatable cuff, and the step S2 is performed if the two pressure sensors measure the pressure difference Δ P in the inflatable cuff at the corresponding timeMeasuringGreater than a predetermined difference Δ PPreparation ofIf so, judging that the pressure sensor has a fault and sending an information prompt; if the measured difference value delta P of the sensor at the corresponding momentMeasuring＜ΔPPreparation ofThe pressure in the inflatable cuff detected by the two sensors is averaged to obtain the pressure value, delta P, in the inflatable cuffPreparation ofIs the empirical difference when the pressure sensor is not malfunctioning.
8. The sphygmomanometer method according to claim 7, further comprising:
s4, if the final measured blood pressure value calculated in S3 has no step, displaying the calculated final measured blood pressure value; if the final measured blood pressure value calculated in the S3 is in a step, sending a prompt message, wherein the step refers to QMeasuringAnd QFinal (a Chinese character of 'gan')The blood pressure and the blood pressure are respectively two different numerical value intervals of hypotension, I-level hypertension (mild), II-level hypertension (moderate) and III-level hypertension (severe).
9. The blood pressure monitor detecting method according to claim 8, further comprising, before step S1, the steps of:
and SA: and inputting basic information of the detected person, including name, sex, age, height and weight, for matching with pre-stored information of corresponding persons or similar persons in the cloud database, and acquiring corresponding compensation values and compensation value coefficients.
10. A blood pressure monitor detecting device for performing the blood pressure monitor detecting method according to any one of claims 1 to 9, comprising:
the inflatable cuff (1) is used for being wound or sleeved on the left upper arm of a detected person, a pressure sensor is arranged in the inflatable cuff (1), and the pressure sensor can acquire pressure information in the inflatable cuff (1) and pulse wave information of the detected person;
the heart rate detection unit (6) is used for acquiring heart rate information of the detected person;
the cloud server (7) is internally provided with a blood pressure state time series compensation model and an adjustable compensation program, and a corresponding compensation value and a corresponding compensation coefficient can be matched according to the pressure information in the inflatable cuff (1), the pulse wave information of the detected person and the heart rate information of the detected person;
the blood pressure measuring device (5) comprises a display part (501), an operation part (502), a storage unit (503) and a processor (504), wherein the processor (504) can receive pressure information in the inflatable cuff (1), pulse wave information of a detected person and heart rate information of the detected person, store the received information in the storage unit (503) within a certain time period, interact the stored information with cloud server (7) information, acquire a corresponding compensation value and a corresponding compensation coefficient, and display a final measured blood pressure value through the display part (501).
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| CN202210083548.1A CN114224305A (en) | 2022-01-25 | 2022-01-25 | Detection method and device for blood pressure monitor |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116965788A (en) * | 2023-04-17 | 2023-10-31 | 辰浩医疗科技(广东)有限公司 | Intelligent sphygmomanometer based on oscillography and auscultation principles |
| WO2024066076A1 (en) * | 2022-09-29 | 2024-04-04 | 汉王科技股份有限公司 | Blood pressure detection method and device, blood pressure gauge, and medium |
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2022
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024066076A1 (en) * | 2022-09-29 | 2024-04-04 | 汉王科技股份有限公司 | Blood pressure detection method and device, blood pressure gauge, and medium |
| CN116965788A (en) * | 2023-04-17 | 2023-10-31 | 辰浩医疗科技(广东)有限公司 | Intelligent sphygmomanometer based on oscillography and auscultation principles |
| CN116965788B (en) * | 2023-04-17 | 2023-12-29 | 辰浩医疗科技(广东)有限公司 | Intelligent sphygmomanometer based on oscillography and auscultation principles |
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