CN113940645B - Blood pressure measurement system and device based on least square method - Google Patents
Blood pressure measurement system and device based on least square method Download PDFInfo
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- CN113940645B CN113940645B CN202111228700.2A CN202111228700A CN113940645B CN 113940645 B CN113940645 B CN 113940645B CN 202111228700 A CN202111228700 A CN 202111228700A CN 113940645 B CN113940645 B CN 113940645B
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000009530 blood pressure measurement Methods 0.000 title claims abstract description 28
- 230000036772 blood pressure Effects 0.000 claims abstract description 54
- 238000000691 measurement method Methods 0.000 claims abstract description 36
- 238000005259 measurement Methods 0.000 claims abstract description 26
- 238000012937 correction Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 18
- 238000012800 visualization Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 210000004204 blood vessel Anatomy 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000000630 rising effect Effects 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 206010020772 Hypertension Diseases 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000035487 diastolic blood pressure Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000035488 systolic blood pressure Effects 0.000 description 1
Classifications
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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
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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
Abstract
The invention provides a blood pressure measurement system and a blood pressure measurement device based on a least square method, comprising the following steps: s1, continuously learning blood pressure data of people by using big data to form a database; s2, performing blood pressure measurement on a user by adopting a boost measurement method; s3, fitting the high-voltage value and the low-voltage value detected by the boost measurement method by using a least square method to obtain a high-voltage value An and a low-voltage value Bn after fitting, and incorporating the high-voltage value An and the low-voltage value Bn into a database; s4, measuring the blood pressure of the user by adopting a depressurization measurement method; and S5, fitting the high-voltage value and the low-voltage value detected by the depressurization measurement method by using a least square method, and increasing the weight of the high-voltage value and the low-voltage value after fitting in the step S3 in recursion self-adaption to obtain the high-voltage value Am and the low-voltage Bm after fitting, displaying and simultaneously incorporating into a database. The convergence rate of data fitting of the depressurization measurement method is improved, and the measurement accuracy is further improved.
Description
Technical Field
The invention relates to the technical field of blood pressure measurement, in particular to a blood pressure measurement system and device based on a least square method.
Background
Blood pressure is one of important physiological parameters of human body, plays an important role in diagnosis and treatment of various cardiovascular diseases such as hypertension, and is also an important item for daily health care. The most common blood pressure values in the clinic are systolic and diastolic blood pressure. The current common method for measuring blood pressure is an oscillometric method, and the working principle of the oscillometric method can be divided into: buck and boost measurements.
Depressurization measurement method: the sphygmomanometer uses an air pump to inflate and pressurize the cuff, and the arterial vessel is pressed by the inflated cuff, so that the arterial vessel is in a completely closed state. Then the deflating valve is opened to make the pressure in the sleeve belt slowly drop. With the decrease of the pressure in the cuff, the arterial vessel is in the complete blocking-involute-full opening change process.
Boost measurement method: the sphygmomanometer uses an air pump to inflate and pressurize the cuff, the arterial blood vessel is pressed by the inflated cuff, and the arterial blood vessel is in the full-open-half-close-full-closed changing process along with the rising of the cuff pressure.
The prior Chinese patent with publication number of CN108272446A discloses a noninvasive continuous blood pressure measurement system and a calibration method thereof. When the system is started, the method firstly uses a common least square method to initialize formula coefficients and constant items, so that the system has the capability of calculating correct noninvasive continuous blood pressure values immediately, and then adopts a recursive least square method in the subsequent calibration.
The inventor considers that the method for measuring blood pressure in the prior art has large error and can generate false measurement, and has the part to be improved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a blood pressure measurement system and a blood pressure measurement device based on a least square method.
The blood pressure measurement system based on the least square method provided by the invention comprises a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, and further comprises the following steps: s1, the information storage unit continuously learns blood pressure data of people by using big data to form a database; s2, measuring blood pressure of a user through a boost measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit; s3, the fitting correction unit fits the high-voltage value and the low-voltage value detected by the boosting measurement method by using a least square method to obtain a fitted high-voltage value An and low-voltage value Bn, and the fitted high-voltage value An and low-voltage value Bn are incorporated into the database of the information storage unit; s4, measuring the blood pressure of the user through a depressurization measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit; and S5, the fitting correction unit utilizes a least square method to fit the high-voltage value and the low-voltage value detected by the depressurization measurement method, and the weight of the high-voltage value and the low-voltage value after the fitting in the step S3 is improved in recursion self-adaption to obtain the high-voltage value Am and the low-voltage Bm after the fitting, and the high-voltage value Am and the low-voltage Bm are output and are simultaneously incorporated into the database of the information storage unit.
Preferably, for step S1, when the information storage unit learns the blood pressure data of the crowd by using the big data, the blood pressure data of the crowd in different age groups is learned separately, so as to obtain a database for the crowd in different age groups.
Preferably, for step S3, after obtaining the fitted high-voltage value An and low-voltage value Bn, the data processing unit determines the fitted high-voltage value An and low-voltage value Bn before the fitted high-voltage value An and low-voltage value Bn are included in the database of the information storage unit.
Preferably, the data processing unit judges the fitted high-voltage value An and low-voltage value Bn as follows: performing error fitting on the fitted high-voltage value An and the first five high-voltage values in the database through a distributed least square method to obtain a value A0, comparing the value A0 with the high-voltage value An, and recording An error proportion Ka; performing error fitting on the fitted low-voltage value Bn and the first five low-voltage values in the database through a distributed least square method to obtain a value B0, comparing the value B0 with the low-voltage value Bn, and recording an error proportion Kb; then performing least square fitting on Ka and Kb to obtain a fitting error; if the fitting error exceeds +/-5%, displaying that the measurement error measurement is finished, and the high-voltage value An and the low-voltage value Bn are not included in the database; if the fitting error is not more than +/-5%, the high-voltage value An and the low-voltage value Bn are included in the database, and the measurement can be continued.
Preferably, for step S5, after obtaining the fitted high-voltage value Am and low-voltage value Bm, the data processing unit determines the fitted high-voltage value Am and low-voltage value Bm before the fitted high-voltage value Am and low-voltage value Bm are included in the database of the information storage unit.
Preferably, the data processing unit judges the fitted high-voltage value Am and low-voltage value Bm as follows: carrying out error fitting on the fitted high-voltage value Am and the first five high-voltage values in the database through a distributed least square method to obtain a value A1, comparing the value A1 with the high-voltage value Am, and recording an error proportion Kc; performing error fitting on the fitted low-voltage value Bm and the first five low-voltage values in the database through a distributed least square method to obtain a value B1, comparing the value B1 with the low-voltage value Bm, and recording an error proportion Kd; then, performing least square fitting on Kc and Kd to obtain a fitting error; if the fitting error is within 10%, displaying a high-voltage value Am and a low-voltage value Bm, and incorporating the high-voltage value Am and the low-voltage value Bm into a database of the information storage unit; if the fitting error exceeds 10%, the output measurement error measurement is ended, and the high-voltage value Am and the low-voltage value Bm are not included in the database of the information storage unit.
Preferably, the database of the information storage unit comprises a first database and a personal database, and the database judgment is carried out before the blood pressure data is included in the database of the information storage unit, and then the blood pressure data is included in the first database or the personal database; if the first database is judged, the blood pressure data is directly incorporated; if the personal database is judged, the user or equipment information is remarked and incorporated into the personal database.
Preferably, all or part of the data of its corresponding personal database is temporarily incorporated into the first database when the user or device is remarked for use of the first database.
Preferably, the first database or the personal database is selected by the user switching unit when the blood pressure measurement is performed.
According to the blood pressure measuring device based on the least square method provided by the invention, the blood pressure measuring system based on the least square method disclosed in claim 1 is adopted, and the blood pressure measuring device comprises a blood pressure signal collector, a controller and a visualization unit; the blood pressure signal collector is used for collecting blood pressure data of a user, the controller comprises a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, and the controller is arranged on the blood pressure signal collector; the visualization unit is connected with the controller and is used for visualizing the output data of the controller.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the effective high-voltage data An and the effective low-voltage data Bn which are measured by a voltage-increasing measurement method and subjected to least square fitting are brought into a database, the weights of the high-voltage data An and the low-voltage data Bn are improved in recursive self-adaption which is performed by least square fitting on the high-voltage data and the low-voltage data measured by the voltage-decreasing measurement method, the convergence speed of fitting on the high-voltage data and the low-voltage data measured by the voltage-decreasing measurement method is improved, and the measurement precision is improved;
2. the invention utilizes the effective high-voltage data An and the low-voltage data Bn measured by the voltage-increasing measurement method, thereby being beneficial to improving the measurement precision of the voltage-decreasing measurement method and reducing the measurement error of the voltage-decreasing measurement method;
3. according to the invention, the high-voltage value An and the low-voltage value Bn after fitting by the boosting measurement method and the data of the high-voltage value Am and the low-voltage value Bm after fitting by the depressurization measurement method are judged, so that the situation that error data are brought into a personal database due to improper operation of a user is reduced, and the accuracy of subsequent detection is improved;
4. according to the invention, the first database formed by big data learning of blood pressure data in different age intervals is selected, and the personal database formed by learning each effective blood pressure measured value of remarking users or equipment is beneficial to improving the accuracy of blood pressure measurement.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
fig. 1 is a schematic overall flow chart of the present invention mainly embodying blood pressure measurement.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
Example 1
As shown in fig. 1, the blood pressure measurement system based on the least square method provided by the invention comprises a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, and further comprises the following steps:
s1, the information storage unit continuously learns blood pressure data of the crowd by using big data to form a database. The database comprises a first database and a personal database, wherein the first database is formed by utilizing big data to learn the blood pressure data of people in different age intervals separately; the personal database is formed by learning each valid blood pressure measurement of the remarked user or device. Before taking the measurement, the user may select the first database or the personal database through the user switching unit.
By means of the first database for distinguishing blood pressure data of different age intervals, a blood pressure value database which accords with the age intervals of the user can be matched for the user, and therefore accuracy of blood pressure measurement of the user can be improved. The present application is illustrated with respect to a personal database.
S2, carrying out blood pressure measurement on a user by adopting a boost measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit.
And S3, fitting the high-voltage value and the low-voltage value detected by the boosting measurement method by using a least square method by a fitting correction unit to obtain a fitted high-voltage value An and low-voltage value Bn, and incorporating the fitted high-voltage value An and low-voltage value Bn into a personal database of the information storage unit.
After the fitted high-voltage value An and low-voltage value Bn are obtained, and before the fitted high-voltage value An and low-voltage value Bn are incorporated into the personal database of the information storage unit, the data processing unit is used for judging the fitted high-voltage value An and low-voltage value Bn, and the judging method is as follows:
performing error fitting on the fitted high-voltage value An and the first five high-voltage values in the personal database through a distributed least square method to obtain a value A0, comparing the value A0 with the high-voltage value An, and recording An error proportion Ka;
performing error fitting on the fitted low-voltage value Bn and the first five low-voltage values in the personal database through a distributed least square method to obtain a value B0, comparing the value B0 with the low-voltage value Bn, and recording an error proportion Kb; then performing least square fitting on Ka and Kb to obtain a fitting error;
if the fitting error exceeds +/-5%, outputting measurement error and ending measurement, wherein the high-voltage value An and the low-voltage value Bn are not included in the personal database;
if the fitting error is not more than +/-5%, the high-voltage value An and the low-voltage value Bn are included in the personal database, and the measurement can be continued.
And S4, measuring the blood pressure of the user by a depressurization measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit.
And S5, fitting the high-voltage value and the low-voltage value detected by the depressurization measurement method by using a least square method, increasing the weights of the high-voltage value An and the low-voltage value Bn in recursion self-adaption to obtain a fitted high-voltage value Am and low-voltage Bm, outputting the fitted high-voltage value Am and low-voltage Bm, and simultaneously incorporating the fitted high-voltage value Am and low-voltage Bm into a personal database of the information storage unit.
By increasing the weights of the high-voltage value An and the low-voltage value Bn in the recursion self-adaption, the convergence speed of fitting the high-voltage value and the low-voltage value detected by the depressurization measurement method can be increased, and the accuracy of the detection of the depressurization measurement method is improved.
After the fitted high-voltage value Am and low-voltage value Bm are obtained, and before the fitted high-voltage value Am and low-voltage value Bm are incorporated into the personal database of the information storage unit, the data processing unit is used for judging the fitted high-voltage value Am and low-voltage value Bm, and the method is as follows:
performing error fitting on the fitted high-voltage value Am and the first five high-voltage values in the personal database through a distributed least square method to obtain a value A1, comparing the value A1 with the high-voltage value Am, and recording an error proportion Kc;
performing error fitting on the fitted low-voltage value Bm and the first five low-voltage values in the personal database through a distributed least square method to obtain a value B1, comparing the value B1 with the low-voltage value Bm, and recording an error proportion Kd;
then, performing least square fitting on Kc and Kd to obtain a fitting error;
if the fitting error is within 10%, outputting a high-voltage value Am and a low-voltage value Bm, and incorporating the high-voltage value Am and the low-voltage value Bm into a personal database of the information storage unit;
if the fitting error exceeds 10%, the output measurement error measurement is ended, and the high-voltage value Am and the low-voltage value Bm are not included in the personal database of the information storage unit.
When the high-voltage data and the low-voltage data obtained by the depressurization measurement method are fitted by using a least square method, the measured value of the depressurization measurement method is adopted, so that the error of the depressurization measurement method is smaller.
And the high-voltage value An and the low-voltage value Bn after fitting by the boosting measurement method and the data of the high-voltage value Am and the low-voltage value Bm after fitting by the depressurization measurement method are judged, so that the occurrence of the situation that error data are brought into a personal database due to improper operation of a user can be reduced, and the accuracy of subsequent detection is improved.
When the method is used for blood pressure measurement, the interval time between the step S2 and the step S3 is not more than five minutes.
The inventor considers that when the big data is used for learning the blood pressure data of the people with different age groups, the division of the age groups of the people takes 5 years as a section.
Example 2
The invention provides a blood pressure measuring device system based on a least square method, which comprises a blood pressure signal collector, a controller and a visualization unit.
The blood pressure signal collector is a belt type blood pressure measurer, the belt type blood pressure measurer can use an air pump to inflate and pressurize the cuff, and the arterial vessel is pressed by the inflated cuff, so that the arterial vessel is in a completely closed state. Then the deflation valve is opened to enable the pressure in the cuff to slowly drop, and the arterial vessel is in the complete blocking-involute-full opening change process. The blood pressure data of the user is measured by the blood pressure reduction measurement method.
The belt-type blood pressure measurer can also use an air pump to inflate and pressurize the cuff, the arterial vessel is pressed by the inflatable cuff, and the arterial vessel is in a full-open-half-closed-full-closed changing process along with the rising of the pressure of the cuff. The method for measuring the blood pressure of the user by the boost side measurement is realized.
The controller comprises a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, wherein the controller is a chip embedded in the blood pressure signal collector, and the fitting correction unit, the data processing unit, the information storage unit and the user switching unit are integrated on the controller.
The visualization unit is in signal connection with the controller, and the visualization unit performs visualization processing on the output data of the controller, so that a user can acquire a measurement result conveniently.
Variation examples
According to the blood pressure measurement system based on the least square method, when a remark user or equipment selects to use the first database, all data of the corresponding personal database should be temporarily incorporated into the first database, so that accuracy of a blood pressure measurement side is improved.
The inventors believe that the partial data of the personal database may be temporarily incorporated into the first database, and that when the partial data of the personal database is temporarily incorporated into the first database, the closer the time for which the temporarily incorporated data is measured to the present measurement, the more accurate the measurement result.
Those skilled in the art will appreciate that the invention provides a system and its individual devices, modules, units, etc. that can be implemented entirely by logic programming of method steps, in addition to being implemented as pure computer readable program code, in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units for realizing various functions included in the system can also be regarded as structures in the hardware component; means, modules, and units for implementing the various functions may also be considered as either software modules for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (7)
1. The blood pressure measurement system based on the least square method is characterized by comprising a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, and further comprising the following steps:
s1, the information storage unit continuously learns blood pressure data of people by using big data to form a database, wherein the database of the information storage unit comprises a first database and a personal database;
s2, measuring blood pressure of a user through a boost measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit;
s3, the fitting correction unit fits the high-voltage value and the low-voltage value detected by the boosting measurement method by using a least square method to obtain a fitted high-voltage value An and low-voltage value Bn, and the fitted high-voltage value An and low-voltage value Bn are incorporated into the database of the information storage unit;
s4, measuring the blood pressure of the user through a depressurization measurement method to obtain a high-pressure value and a low-pressure value, and transmitting the high-pressure value and the low-pressure value to the fitting correction unit;
s5, the fitting correction unit utilizes a least square method to fit the high-voltage value and the low-voltage value detected by the depressurization measurement method, the weight of the high-voltage value and the low-voltage value which are fitted in the step S3 is improved in recursion self-adaption, the high-voltage value Am and the low-voltage value Bm which are fitted by the depressurization measurement method are obtained and output, and meanwhile the high-voltage value Am and the low-voltage value Bm are incorporated into the database of the information storage unit;
for step S1, when the information storage unit learns the blood pressure data of the crowd by using the big data, the blood pressure data of the crowd in different age intervals are separately learned, so as to obtain a first database which can be specific to the crowd in different age groups;
for step S5, after the fitted high-voltage value Am and low-voltage value Bm are obtained, before the fitted high-voltage value Am and low-voltage value Bm are included in the database of the information storage unit, the data processing unit determines the fitted high-voltage value Am and low-voltage value Bm;
before the fitted blood pressure data in the step S3 and the step S5 are included in the database of the information storage unit, database judgment is carried out, and then the blood pressure data are included in a first database or a personal database;
if the first database is judged, the blood pressure data is directly incorporated;
if the personal database is judged, the user or equipment information is remarked and incorporated into the personal database.
2. The least square method-based blood pressure measurement system according to claim 1, wherein for step S3, the fitted high-pressure value An and low-pressure value Bn are judged by the data processing unit before being incorporated into the database of the information storage unit.
3. The blood pressure measurement system based on the least square method as claimed in claim 2, wherein the data processing unit determines the fitted high-pressure value An and low-pressure value Bn as follows:
performing error fitting on the fitted high-voltage value An and the first five high-voltage values in the database through a distributed least square method to obtain a value A0, comparing the value A0 with the high-voltage value An, and recording An error proportion Ka;
performing error fitting on the fitted low-voltage value Bn and the first five low-voltage values in the database through a distributed least square method to obtain a value B0, comparing the value B0 with the low-voltage value Bn, and recording an error proportion Kb;
then performing least square fitting on Ka and Kb to obtain a fitting error;
if the fitting error exceeds +/-5%, displaying that the measurement error measurement is finished, and the high-voltage value An and the low-voltage value Bn are not included in the database;
if the fitting error is not more than +/-5%, the high-voltage value An and the low-voltage value Bn are included in the database, and the measurement can be continued.
4. The least square method-based blood pressure measurement system according to claim 1, wherein the data processing unit determines the fitted high-pressure value Am and low-pressure value Bm as follows:
carrying out error fitting on the fitted high-voltage value Am and the first five high-voltage values in the database through a distributed least square method to obtain a value A1, comparing the value A1 with the high-voltage value Am, and recording an error proportion Kc;
performing error fitting on the fitted low-voltage value Bm and the first five low-voltage values in the database through a distributed least square method to obtain a value B1, comparing the value B1 with the low-voltage value Bm, and recording an error proportion Kd;
then, performing least square fitting on Kc and Kd to obtain a fitting error;
if the fitting error is within 10%, displaying a high-voltage value Am and a low-voltage value Bm, and incorporating the high-voltage value Am and the low-voltage value Bm into a database of the information storage unit;
if the fitting error exceeds 10%, the output measurement error measurement is ended, and the high-voltage value Am and the low-voltage value Bm are not included in the database of the information storage unit.
5. A least squares based blood pressure measurement system according to claim 1, wherein all or part of the data of its corresponding personal database is temporarily incorporated into the first database when the user or device is remarked for use of the first database.
6. The least square method based blood pressure measurement system according to claim 1, wherein the first database or the personal database is selected by the user switching unit when the blood pressure measurement is performed.
7. A least square method-based blood pressure measuring device, which is characterized in that the least square method-based blood pressure measuring system is adopted, and comprises a blood pressure signal collector, a controller and a visualization unit;
the blood pressure signal collector is used for collecting blood pressure data of a user, the controller comprises a fitting correction unit, a data processing unit, an information storage unit and a user switching unit, and the controller is arranged on the blood pressure signal collector;
the visualization unit is connected with the controller and is used for visualizing the output data of the controller.
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| CN111317458A (en) * | 2018-12-14 | 2020-06-23 | 武汉大学深圳研究院 | Blood pressure detection system based on deep learning |
| CN111839487A (en) * | 2020-06-18 | 2020-10-30 | 郑昕 | Blood pressure measuring method and system |
| CN111990980A (en) * | 2020-08-17 | 2020-11-27 | 中孚医疗（深圳）有限公司 | Blood pressure measuring method and blood pressure measuring device |
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