CN107260146B - Blood pressure detection method and blood pressure detection equipment - Google Patents
Blood pressure detection method and blood pressure detection equipment Download PDFInfo
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- CN107260146B CN107260146B CN201710420039.2A CN201710420039A CN107260146B CN 107260146 B CN107260146 B CN 107260146B CN 201710420039 A CN201710420039 A CN 201710420039A CN 107260146 B CN107260146 B CN 107260146B
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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
Abstract
The invention is suitable for the technical field of electronics, and provides a blood pressure detection method and blood pressure detection equipment, wherein the method comprises the following steps: determining a mapping relation between body data of a tested user and blood pressure of the tested user; acquiring current body data of the tested user; and calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation. The technical scheme of the invention realizes automatic blood pressure detection, does not need manual operation in the whole process, reduces the operation complexity and improves the measurement efficiency; meanwhile, the calculation of the blood pressure value is more targeted, and the accuracy of the measurement result is improved.
Description
Technical Field
The invention belongs to the technical field of electronics, and particularly relates to a blood pressure detection method and blood pressure detection equipment.
Background
At present, the measurement of blood pressure is usually carried out by a manual mode, the operation process is complex, the measurement efficiency is low, and the measurement result is easily influenced by external factors, so that the result is not accurate enough.
Disclosure of Invention
In view of this, embodiments of the present invention provide a blood pressure detection method and a blood pressure detection device, so as to solve the problems in the prior art that an artificial measurement method is high in operation complexity, low in measurement efficiency, and low in accuracy of measurement results.
A first aspect of an embodiment of the present invention provides a blood pressure detection method, including:
determining a mapping relation between body data of a tested user and blood pressure of the tested user;
acquiring current body data of the tested user;
and calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation.
A second aspect of an embodiment of the present invention provides a blood pressure detecting apparatus, including:
the relationship determination module is used for determining the mapping relationship between the body data of the tested user and the blood pressure of the tested user;
the data acquisition module is used for acquiring the current body data of the detected user;
and the blood pressure calculation module is used for calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation.
A third aspect of embodiments of the present invention provides a blood pressure detecting apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method of the first aspect when executing the computer program:
a fourth aspect of embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method of the first aspect described above.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the method comprises the steps of obtaining current body data of a detected user by determining a mapping relation between the body data of the detected user and the blood pressure of the detected user, and calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation, so that automatic blood pressure detection is realized, manual operation is not needed in the whole process, the operation complexity is reduced, and the measurement efficiency is improved; meanwhile, the mapping relation between the body data and the blood pressure of the user to be measured is determined according to the specific user to be measured, and then the blood pressure value of the user to be measured is calculated according to the mapping relation, so that the calculation of the blood pressure value is more targeted, and the accuracy of the measurement result is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flow chart illustrating an implementation of a method for blood pressure detection according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating an implementation of a method for blood pressure detection according to a second embodiment of the present invention;
FIG. 3 is a schematic diagram of a blood pressure detecting apparatus according to a third embodiment of the present invention;
FIG. 4 is a schematic diagram of a blood pressure detecting apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic diagram of a blood pressure detecting device according to a fifth embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
The first embodiment is as follows:
fig. 1 is a flowchart of a method for blood pressure detection according to an embodiment of the present invention, an execution subject of the embodiment of the present invention is a blood pressure detection device, which may specifically be a non-wearable non-contact real-time blood pressure detection device, and the method for blood pressure detection illustrated in fig. 1 may specifically include steps S101 to S103, which are detailed as follows:
s101, determining a mapping relation between the body data of the user to be tested and the blood pressure of the user to be tested.
Specifically, the body data and the corresponding blood pressure value are stored in the database by setting the data rate of the body data, and the mapping relation between the body data and the blood pressure of the user to be tested can be determined by adopting classifier cascade for continuous big data learning.
Further, the physical data of the user under test may include blood flow velocity, heart rate data, and respiration rate data.
And S102, acquiring the current body data of the tested user.
Specifically, the current body data of the user under test is detected by a sensor.
S103, calculating a blood pressure value corresponding to the current body data of the user to be tested according to the mapping relation between the body data of the user to be tested and the blood pressure of the user to be tested.
Specifically, according to the mapping relationship between the body data of the user to be tested and the blood pressure determined by the big data learning in step S101, in the case that the current body data of the user to be tested is known, the blood pressure value corresponding to the current body data can be calculated.
In the embodiment, the current body data of the detected user is obtained by determining the mapping relation between the body data of the detected user and the blood pressure of the detected user, and the blood pressure value corresponding to the current body data of the detected user is calculated according to the mapping relation, so that the automatic blood pressure detection is realized, the manual operation is not needed in the whole process, the operation complexity is reduced, and the measurement efficiency is improved; meanwhile, the mapping relation between the body data and the blood pressure of the user to be measured is determined according to the specific user to be measured, and then the blood pressure value of the user to be measured is calculated according to the mapping relation, so that the calculation of the blood pressure value is more targeted, and the accuracy of the measurement result is improved.
Example two:
fig. 2 is a flowchart of a method for blood pressure detection according to a second embodiment of the present invention, an execution subject of the second embodiment of the present invention is a blood pressure detection device, which may specifically be a non-wearable non-contact real-time blood pressure detection device, and the method for blood pressure detection illustrated in fig. 2 may specifically include steps S201 to S205, which are detailed as follows:
s201, according to the body data of the user to be tested, determining a mapping parameter between the body data of the user to be tested and the blood pressure of the user to be tested.
Specifically, the physical data of the user to be tested includes blood flow velocity, heart rate data and respiration rate data.
For different tested objects, the mapping parameters of the mapping relation between the body data and the blood pressure are different, and for the same tested object, the mapping parameters are fixed and unchangeable within a certain time. In order to obtain accurate blood pressure detection results for different detected objects, firstly, mapping parameters of a mapping relation are determined according to body data of a detected user. The determination of the mapping parameter can be triggered by calibrating the blood pressure detection device, the user can actively start the calibration of the blood pressure detection device, the blood pressure detection device can also automatically start the calibration at fixed time intervals, and the blood pressure detection device can also automatically start the calibration when being used by the user to be detected for the first time.
S202, determining that a mapping relation between the body data of the user to be detected and the blood pressure of the user to be detected is P ═ K × (Vbias ×) Vheart × (Vbase) Vbase according to the mapping parameters, wherein P is the blood pressure of the user to be detected, K is the mapping parameters, Vbias is the blood flow velocity, Vhead is the heart rate data, and Vbase is the respiratory rate data.
The blood pressure is the pressure acting on the blood vessel wall when blood flows in the blood vessel, the blood pressure and the time of the blood flowing through two fixed positions have a negative correlation and a positive correlation with the blood flow speed, the higher the blood flow speed is, the higher the blood pressure is, and conversely, the lower the blood flow speed is, the lower the blood pressure is.
The blood pressure has positive correlation with the heart rate and the respiratory rate, and the blood pressure is increased along with the acceleration of the heart rate and the respiratory rate under a certain condition.
Thus, blood pressure and blood flow velocity, heart rate, and respiration rate all have a positive correlation as a function. Through continuous big data learning of a large amount of body data and corresponding blood pressure values, a classifier cascade is adopted, and specific mapping relations between heart data and the blood pressure values can be obtained, wherein the specific mapping relations can specifically comprise a mapping relation from blood flow speed to blood pressure, a mapping relation from heart rate data to blood pressure, a mapping relation from respiratory rate data to blood pressure and the like.
Specifically, the data rate of the body data is set, the body data and the corresponding blood pressure value are stored in the database, continuous big data learning is performed by adopting cascade connection of classifiers, and the mapping relation between the body data of the user to be tested and the blood pressure of the user to be tested is determined to be P (K) Vbias (Vheart rate) Vpeak (Vpeak), wherein P is the blood pressure of the user to be tested, K is a mapping parameter, Vpeak is the blood flow velocity, Vpeak is the heart rate data, and Vpeak is the respiratory rate data.
S203, acquiring current blood flow speed and current heart rate data of the user to be detected through the vibration sensor.
The blood pressure detection device comprises at least two high-sensitivity vibration sensors.
Specifically, the step S2031 to step S2033 of acquiring the current blood flow velocity and the current heart rate data of the user to be tested by the vibration sensor may be performed as follows:
and S2031, detecting the pulse wave of the detected user through the vibration sensor.
In particular, a vibration signal of the blood flow of the user to be tested can be detected by the vibration sensor, and the pulse wave of the user to be tested can be determined by the vibration signal.
S2032, the time of the pulse wave reaching the two vibration sensors is measured, and the current blood flow velocity of the measured user is calculated according to the time.
Specifically, the time when the same pulse wave respectively reaches the two vibration sensors is measured through the vibration sensors, and the current blood flow velocity of the user to be measured is calculated according to the time and the distance from the pulse wave to the two vibration sensors.
S2033, measuring the number of the pulse waves in the preset time, and calculating the current heart rate data of the measured user according to the number.
Specifically, the number of pulse waves detected within preset time is measured through a vibration sensor, and the current heart rate data of the detected user is calculated according to the preset time and the number.
It should be noted that the preset time can be set according to the needs of practical applications, and is not limited herein.
And S204, acquiring current respiration rate data of the detected user through the pressure sensor.
The blood pressure detection device comprises at least one pressure sensor with high sensitivity.
Specifically, the obtaining of the current respiration rate data of the detected user by the pressure sensor may be implemented in steps S2041 to S2082, which are described in detail as follows:
s2041, pressure change data of the abdominal elevation or depression of the user to be measured is detected by the pressure sensor.
Specifically, pressure change data of the abdomen of the detected user in the process of lifting or descending is detected through the pressure sensor, and the pressure change data can comprise the magnitude of pressure, the amplitude of pressure change, the frequency of lifting or descending of the abdomen and the like.
And S2042, calculating the current breathing rate of the detected user according to the pressure change data.
Specifically, the current respiration rate of the user to be measured is calculated from the pressure data obtained in step S2041.
S205, calculating a blood pressure value corresponding to the current body data of the user to be tested according to the mapping relation between the body data of the user to be tested and the blood pressure of the user to be tested.
Specifically, according to the current body data including the current blood flow velocity, the current heart rate data, and the current respiration rate data of the user to be tested obtained in steps S203 and S204, the blood pressure value corresponding to the current body data can be calculated according to the mapping relationship between the body data and the blood pressure of the user to be tested obtained in step S202.
In the embodiment, the mapping parameter between the body data of the user to be measured and the blood pressure of the user to be measured is determined according to the body data of the user to be measured, and the mapping relation between the body data of the user to be measured and the blood pressure of the user to be measured is determined as P ═ K × Vblood × Vheart Vbreath according to the mapping parameter, so that the mapping relation between the body data of the user to be measured and the blood pressure is determined for the specific user to be measured, the blood pressure value of the user to be measured is calculated according to the mapping relation, the calculation of the blood pressure value is more pertinent, and the accuracy of the measurement result is improved; the current blood flow speed and the current heart rate data of a tested user are obtained through the vibration sensor, the current respiration rate data of the tested user are obtained through the pressure sensor, then the blood pressure value corresponding to the current body data of the tested user is calculated according to the mapping relation between the body data of the tested user and the blood pressure of the tested user, automatic blood pressure detection is achieved, manual operation is not needed in the whole process, operation complexity is reduced, and measurement efficiency is improved.
Example three:
fig. 3 is a schematic structural diagram of a blood pressure detecting device according to a third embodiment of the present invention, and for convenience of description, only the parts related to the third embodiment of the present invention are shown. A blood pressure detection device illustrated in fig. 3 may be an executive body of the blood pressure detection method provided in the first embodiment. An apparatus for blood pressure detection illustrated in fig. 3 includes: the relationship determining module 31, the data acquiring module 32 and the blood pressure calculating module 33, wherein the detailed description of each functional module is as follows:
a relationship determination module 31, configured to determine a mapping relationship between the body data of the user to be tested and the blood pressure of the user to be tested;
a data acquisition module 32, configured to acquire current body data of the user to be tested;
and the blood pressure calculating module 33 is configured to calculate a blood pressure value corresponding to the current body data of the detected user according to the mapping relationship.
The process of implementing each function by each module in the blood pressure detecting device provided in this embodiment may specifically refer to the description of the embodiment shown in fig. 1, and is not described herein again.
As can be seen from the device for detecting blood pressure illustrated in fig. 3, in this embodiment, by determining a mapping relationship between body data of a user to be detected and blood pressure of the user to be detected, current body data of the user to be detected is obtained, and a blood pressure value corresponding to the current body data of the user to be detected is calculated according to the mapping relationship, so that automatic blood pressure detection is realized, manual operation is not required in the whole process, the operation complexity is reduced, and the measurement efficiency is improved; meanwhile, the mapping relation between the body data and the blood pressure of the user to be measured is determined according to the specific user to be measured, and then the blood pressure value of the user to be measured is calculated according to the mapping relation, so that the calculation of the blood pressure value is more targeted, and the accuracy of the measurement result is improved.
Example four:
fig. 4 is a schematic structural diagram of a blood pressure detecting device according to a fourth embodiment of the present invention, and only the relevant portions of the embodiment of the present invention are shown for convenience of description. The device for blood pressure detection illustrated in fig. 4 may be the main execution body of the method for blood pressure detection provided in the second embodiment. An apparatus for blood pressure detection illustrated in fig. 4 includes: the relationship determining module 41, the data acquiring module 42 and the blood pressure calculating module 43, wherein the detailed description of each functional module is as follows:
a relationship determination module 41, configured to determine a mapping relationship between the body data of the user to be tested and the blood pressure of the user to be tested;
a data acquisition module 42, configured to acquire current body data of the user to be tested;
and a blood pressure calculating module 43, configured to calculate a blood pressure value corresponding to the current body data of the detected user according to the mapping relationship.
Further, the body data comprises blood flow velocity, heart rate data and respiration rate data, and the relationship determination module comprises 41:
the parameter determining submodule 411 is configured to determine, according to the body data of the user to be tested, a mapping parameter between the body data of the user to be tested and the blood pressure of the user to be tested;
and a mapping relation determining sub-module 412, configured to determine, according to the mapping parameter, that the mapping relation is P ═ K × Vblood × Vheart × Vbreath, where P is the blood pressure of the user to be tested, K is the mapping parameter, Vblood is the blood flow velocity, Vheart is heart rate data, and Vbreath is respiratory rate data.
Further, the data acquisition module 42 includes:
the vibration sensing submodule 421 is configured to acquire current blood flow velocity and current heart rate data of the user to be tested through a vibration sensor;
and the pressure sensing submodule 422 is used for acquiring the current respiration rate data of the detected user through a pressure sensor.
Further, vibration sensing submodule 421 is also configured to:
detecting pulse waves of the detected user through the vibration sensor;
measuring the time of the pulse wave reaching the two vibration sensors respectively, and calculating the current blood flow velocity according to the time;
and measuring the number of the pulse waves within preset time, and calculating the current heart rate data according to the number.
Further, the pressure sensing submodule 422 is also configured to:
detecting pressure change data of the abdominal uplifting or descending of the detected user through the pressure sensor;
and calculating the current respiration rate according to the pressure change data.
The process of implementing each function by each module in the blood pressure detecting device provided in this embodiment may specifically refer to the description of the embodiment shown in fig. 2, and is not repeated here.
As can be seen from the blood pressure detecting device illustrated in fig. 4, in this embodiment, a mapping parameter between the body data of the user to be detected and the blood pressure of the user to be detected is determined according to the body data of the user to be detected, and a mapping relationship between the body data of the user to be detected and the blood pressure of the user to be detected is determined according to the mapping parameter, which is P ═ K × Vblood × Vheart × Vbreath, so that the specific user to be detected is determined from the mapping relationship, and the blood pressure value of the user to be detected is calculated according to the mapping relationship, so that the calculation of the blood pressure value is more targeted, and the accuracy of the measurement result is improved; the current blood flow speed and the current heart rate data of a tested user are obtained through the vibration sensor, the current respiration rate data of the tested user are obtained through the pressure sensor, then the blood pressure value corresponding to the current body data of the tested user is calculated according to the mapping relation between the body data of the tested user and the blood pressure of the tested user, automatic blood pressure detection is achieved, manual operation is not needed in the whole process, operation complexity is reduced, and measurement efficiency is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Example five:
fig. 5 is a schematic diagram of a blood pressure detecting device according to a fifth embodiment of the present invention. The blood pressure detection device 500 illustrated in fig. 5 includes: a processor 501, a memory 502 and a computer program 503 stored in said memory 502 and executable on said processor 501. The processor 501 executes the computer program 503 to implement the steps in the above-mentioned embodiments of the method for detecting blood pressure, such as the steps S101 to S103 shown in fig. 1. Alternatively, the processor 501, when executing the computer program 503, implements the functions of the modules in the above-mentioned device embodiments for blood pressure detection, such as the functions of the modules 31 to 33 shown in fig. 3.
Illustratively, the computer program 503 may be partitioned into one or more modules/units that are stored in the memory 502 and executed by the processor 501 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 503 in the blood pressure detecting device 500. For example, the computer program 503 may be divided into a relationship determination module, a data acquisition module and a blood pressure calculation module, and each module has the following specific functions:
the relationship determination module is used for determining the mapping relationship between the body data of the tested user and the blood pressure of the tested user;
the data acquisition module is used for acquiring the current body data of the detected user;
and the blood pressure calculation module is used for calculating the current body of the detected user according to the mapping relation.
Further, the body data comprises blood flow velocity, heart rate data and respiration rate data, and the relationship determination module comprises:
the parameter determination submodule is used for determining a mapping parameter between the body data of the tested user and the blood pressure of the tested user according to the body data of the tested user;
and the mapping relation determining submodule is used for determining that the mapping relation is P ═ K × (Vblood) × (Vheart) × (Vboard) Vboard according to the mapping parameters, wherein P is the blood pressure of the detected user, K is the mapping parameters, Vbottom is the blood flow velocity, Vhead is heart rate data, and Vboard is respiratory rate data.
Further, the data acquisition module comprises:
the vibration sensing submodule is used for acquiring the current blood flow speed and the current heart rate data of the detected user through a vibration sensor;
and the pressure sensing submodule is used for acquiring the current respiration rate data of the detected user through a pressure sensor.
Further, the vibration sensing sub-module is further configured to:
detecting pulse waves of the detected user through the vibration sensor;
measuring the time of the pulse wave reaching the two vibration sensors respectively, and calculating the current blood flow velocity according to the time;
and measuring the number of the pulse waves within preset time, and calculating the current heart rate data according to the number.
Further, the pressure sensing sub-module is further configured to:
detecting pressure change data of the abdominal uplifting or descending of the detected user through the pressure sensor;
and calculating the current respiration rate according to the pressure change data.
The blood pressure detecting device 500 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The blood pressure detection device 500 may include, but is not limited to, a processor 501, a memory 502. It will be understood by those skilled in the art that fig. 5 is merely an example of a blood pressure sensing device 500, and does not constitute a limitation of the blood pressure sensing device 500, and may include more or less components than those shown, or combine certain components, or different components, for example, the blood pressure sensing device 500 may also include an input-output device, a network access device, a bus, etc.
The Processor 501 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 502 may be an internal storage unit of the blood pressure detecting device 500, such as a hard disk or a memory of the blood pressure detecting device 500. The memory 502 may also be an external storage device of the blood pressure detecting device 500, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, provided on the blood pressure detecting device 500. Further, the memory 502 may also include both an internal storage unit and an external storage device of the blood pressure detecting device 500. The memory 502 is used for storing the computer programs and other programs and data required by the blood pressure monitoring device 500. The memory 502 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, etc. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. An apparatus for blood pressure detection, the apparatus comprising:
the relationship determination module is used for determining a mapping relationship between body data of a detected user and the blood pressure of the detected user, wherein the body data comprises blood flow velocity, heart rate data and respiration rate data;
a data acquisition module for acquiring current body data of the user to be tested, the data acquisition module comprising:
the vibration sensing submodule is used for acquiring the current blood flow velocity and the current heart rate data of the detected user through a vibration sensor, detecting the pulse wave of the detected user through the vibration sensor, measuring the time of the pulse wave reaching the two vibration sensors respectively, calculating the current blood flow velocity according to the time, measuring the number of the pulse waves within the preset time, and calculating the current heart rate data according to the number; and
the pressure sensing submodule is used for acquiring current respiration rate data of the user to be detected through a pressure sensor, detecting pressure change data of the abdominal uplifting or descending of the user to be detected through the pressure sensor, and calculating the current respiration rate according to the pressure change data;
and the blood pressure calculation module is used for calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation.
2. The apparatus of claim 1, wherein the relationship determination module comprises:
the parameter determination submodule is used for determining a mapping parameter between the body data of the tested user and the blood pressure of the tested user according to the body data of the tested user;
and a mapping relation determining submodule.
3. A blood pressure detection device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the following steps when executing the computer program:
determining a mapping relation between body data of a tested user and blood pressure of the tested user, wherein the body data comprises blood flow speed, heart rate data and respiration rate data;
acquiring current body data of the tested user, comprising: acquiring current blood flow speed and current heart rate data of the detected user through a vibration sensor; acquiring current respiration rate data of the detected user through a pressure sensor;
and calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation.
4. A blood pressure detection device as recited in claim 3, wherein the acquiring current blood flow velocity and current heart rate data of the user under test by the vibration sensor comprises:
detecting pulse waves of the detected user through the vibration sensor;
measuring the time of the pulse wave reaching the two vibration sensors respectively, and calculating the current blood flow velocity according to the time;
and measuring the number of the pulse waves within preset time, and calculating the current heart rate data according to the number.
5. A blood pressure sensing device as recited in claim 3, wherein the acquiring current respiration rate data of the user under test via the pressure sensor comprises:
detecting pressure change data of the abdominal uplifting or descending of the detected user through the pressure sensor;
and calculating the current respiration rate according to the pressure change data.
6. A computer-readable storage medium storing a computer program, the computer program when executed by a processor implementing the steps of:
determining a mapping relation between body data of a tested user and blood pressure of the tested user, wherein the body data comprises blood flow speed, heart rate data and respiration rate data;
acquiring current body data of the tested user, comprising: acquiring current blood flow speed and current heart rate data of the detected user through a vibration sensor; acquiring current respiration rate data of the detected user through a pressure sensor;
and calculating a blood pressure value corresponding to the current body data of the detected user according to the mapping relation.
7. The computer-readable storage medium of claim 6, wherein the acquiring current blood flow velocity and current heart rate data of the user under test via a vibration sensor comprises:
detecting pulse waves of the detected user through the vibration sensor;
measuring the time of the pulse wave reaching the two vibration sensors respectively, and calculating the current blood flow velocity according to the time;
and measuring the number of the pulse waves within preset time, and calculating the current heart rate data according to the number.
8. The computer-readable storage medium of claim 6, wherein the acquiring current respiration rate data of the user under test via a pressure sensor comprises:
detecting pressure change data of the abdominal uplifting or descending of the detected user through the pressure sensor;
and calculating the current respiration rate according to the pressure change data.
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