CN112826469A - Information sharing method, blood pressure detection device and blood pressure detection system - Google Patents
Information sharing method, blood pressure detection device and blood pressure detection system Download PDFInfo
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- CN112826469A CN112826469A CN201911072611.6A CN201911072611A CN112826469A CN 112826469 A CN112826469 A CN 112826469A CN 201911072611 A CN201911072611 A CN 201911072611A CN 112826469 A CN112826469 A CN 112826469A
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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
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
Abstract
The application discloses an information sharing method, a blood pressure detection device and a blood pressure detection system. The information sharing method comprises the following steps: acquiring blood pressure detection data of a plurality of users; generating a blood pressure curve which changes along with time according to the blood pressure detection data aiming at each user; carrying out similarity matching on the blood pressure curves of different users; and recommending friends among users with the similarity larger than a preset similarity threshold. According to the method and the system, the users with the similarity larger than the preset similarity threshold can be recommended to make friends, so that the illness state is discussed together.
Description
Technical Field
The present application relates to the field of blood pressure detection technologies, and in particular, to an information sharing method, a blood pressure detection device, and a blood pressure detection system.
Background
In modern society, due to the comprehensive effects of unreasonable dietary structure and rest time, insufficient exercise, smoking and drinking and other risk factors, the incidence of chronic cardiovascular diseases continuously rises, patients gradually decrease in age, and the threat of cardiovascular diseases to the health of human beings is increasing.
The inventor of the present application finds that, in a long-term research and development process, the conventional sphygmomanometer is used for detecting blood pressure detection data of a user, and the user can only obtain the blood pressure detection data of the user, and cannot make friends and communicate with other users based on the blood pressure detection data, so that the condition of the patient can be discussed together.
Disclosure of Invention
In order to solve the above problems of the sphygmomanometer in the related art, the present application provides an information sharing method, a blood pressure detection device, and a blood pressure detection system.
In order to solve the above problem, an embodiment of the present application provides an information sharing method based on blood pressure detection, where the method includes:
acquiring blood pressure detection data of a plurality of users;
generating a blood pressure curve which changes along with time according to the blood pressure detection data aiming at each user;
carrying out similarity matching on the blood pressure curves of different users;
and recommending friends among users with the similarity larger than a preset similarity threshold.
In order to solve the above problem, an embodiment of the present application provides a blood pressure detection system, including a blood pressure detection device, a terminal and a server, where the terminal establishes communication connections with the blood pressure detection device and the server respectively; the blood pressure detection device is used for detecting blood pressure detection data of a user; the server is used for realizing the information sharing method.
In order to solve the above problem, an embodiment of the present application provides a blood pressure detecting device, which is the above blood pressure detecting device, where the blood pressure detecting device includes a host and a cuff, the host is provided with an interface connected to the terminal, and the terminal provides a first voltage to the blood pressure detecting device; when the blood pressure detection device detects blood pressure, the cuff is in contact with an artery of a human body, and the host detects blood pressure detection data of a user through the cuff.
Compared with the prior art, the method and the device for detecting the blood pressure of the users acquire the blood pressure detection data of the users; generating a blood pressure curve which changes along with time according to the blood pressure detection data aiming at each user; carrying out similarity matching on the blood pressure curves of different users; recommending friends among users with the similarity larger than a preset similarity threshold; the method can recommend friends making among users with the similarity greater than a preset similarity threshold value, so as to discuss the disease condition together.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of an embodiment of a blood pressure monitoring system according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of an information sharing method according to the present application;
FIG. 3 is a schematic flow chart diagram illustrating another embodiment of an information sharing method according to the present application;
FIG. 4 is a waveform of a pulse condition detected by the embodiment of FIG. 1;
FIG. 5 is a waveform of another pulse condition detected by the embodiment of FIG. 1;
FIG. 6 is a waveform of another pulse condition detected by the embodiment of FIG. 1;
fig. 7 is a schematic structural diagram of an embodiment of the blood pressure detecting device according to the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be noted that the following examples are only illustrative of the present application, and do not limit the scope of the present application. Likewise, the following examples are only some examples and not all examples of the present application, and all other examples obtained by a person of ordinary skill in the art without any inventive step are within the scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, the present application provides a blood pressure detecting system 101 according to an embodiment, where the blood pressure detecting system 101 includes a blood pressure detecting device 102, a terminal 104, and a server 105. The blood pressure detecting device 102 may be worn on the left arm or the right arm of the user.
The terminal 104 establishes communication connections with the blood pressure detection apparatus 102 and the server 105, respectively. Wherein, the terminal 104 can establish a wired connection or a wireless connection with the blood pressure detecting device 102, and the terminal 104 can establish a wireless connection with the server 105.
The terminal 104 of the present embodiment may include a mobile phone, a tablet computer, a notebook computer, a palm top computer, a personal digital assistant, a wearable device, and the like, and the server 105 may be an intelligent computer system distributed in a network or a cloud.
The present application provides an information sharing method of an embodiment, which is applied to a blood pressure detection system 101, as shown in fig. 2, and the information sharing method specifically includes the following steps:
s201: blood pressure detection data of a plurality of users is acquired.
The server 105 may establish communication with a plurality of blood pressure detection devices 102, one blood pressure detection device 102 may be worn by each user; in other embodiments, a user may wear multiple blood pressure detection devices 102. The server 105 controls the plurality of blood pressure detection devices 102 to detect blood pressure detection data of the corresponding users, respectively, and receives the blood pressure detection data of the plurality of users, so that the server 105 acquires the blood pressure detection data of the plurality of users. The blood pressure detection data may include blood pressure, brain waves, or blood oxygen saturation, etc.
S202: a time-varying blood pressure curve is generated from the blood pressure detection data for each user.
The server 105 generates a blood pressure curve that changes with time from the blood pressure detection data for each user; that is, the server 105 may establish a coordinate system, with time as the abscissa of the coordinate system, and blood pressure detection data as the ordinate of the coordinate system; the server 105 generates a blood pressure curve varying with time on a coordinate system from the blood pressure detection data of each user to form a plurality of blood pressure curves. The server 105 further monitors the blood pressure detection data of the user in real time, and can remind the user when the blood pressure detection data is abnormal.
Wherein the blood pressure curves may include blood pressure curves without a treatment regimen and blood pressure curves with a treatment regimen applied.
S203: and carrying out similarity matching on the blood pressure curves of different users.
The server 105 performs similarity matching on the blood pressure curves of different users, and the server 105 performs similarity matching on the blood pressure curves of different users without treatment schemes. For example, the server 105 may select at least one blood pressure curve from a plurality of blood pressure curves without the treatment plan as a template curve, and construct a discretized first index; the server 105 constructs a second index at the same time point according to the blood pressure curve to be matched without the treatment scheme, and calculates the similarity according to a first index and a second index, which can be any one of blood pressure, brain wave or blood oxygen saturation, to match the blood pressure curves of different users for similarity.
S204: and recommending friends among users with the similarity larger than a preset similarity threshold.
The server 105 carries out friend making recommendation among users with the similarity larger than a preset similarity threshold; specifically, the server 105 recommends the same chat group to users whose similarity is greater than the similarity threshold; that is, the server 105 may preset a plurality of chat groups, and recommend the same chat group to users with a similarity greater than a similarity threshold (the similarity threshold may be 80%), so that users with a similarity greater than the similarity threshold join the same chat group through the terminal 104. Or the server 105 recommends friends among users with the similarity greater than the similarity threshold, and the users with the similarity greater than the similarity threshold can make friends with other users with the similarity greater than the similarity threshold. Through the mode, the user can communicate with and share other users, such as a blood pressure curve applying a treatment scheme or the treatment scheme, so that a friend making function is realized, and the activity of the user is improved; in addition, friend making recommendation is carried out among users with the similarity greater than a preset similarity threshold, the precision of friend making can be improved, and the users can conveniently discuss the illness state.
In one embodiment, step S201 further includes: the server 105 obtains individual characteristics of the user, the individual characteristics including at least one or a combination of age, height, weight, and body fat rate. The terminal 104 may store the individual characteristics of the user in advance, and the server 105 acquires the individual characteristics of the user from the terminal 105; alternatively, the server 105 stores the individual characteristics of all users in advance, and further obtains the individual characteristics of the users.
In step S203, the server 105 may perform similarity matching on the blood pressure curves without the treatment plan, in which the difference between the individual features is smaller than a preset difference threshold value. For example, if the individual characteristic is a weight, the preset difference threshold may be 5kg, the weight of the first user is 75kg, the weight of the second user is 73kg, and the weight of the third user is 60kg, the server 105 performs similarity matching between the blood pressure curve of the first user without the therapy and the blood pressure curve of the second user without the therapy.
In other embodiments, the main execution body of the present application may be the terminal 104, which is not described herein again.
The present application provides an information sharing method according to another embodiment, as shown in fig. 3, the information sharing method includes the following steps:
s301: blood pressure detection data of a plurality of users are acquired, and a treatment scheme of each user is acquired.
The server 105 acquires blood pressure detection data of a plurality of users, synchronously acquires treatment schemes of the users, and the terminal 104 or the server 105 may store the treatment schemes of the users in advance. When the server 105 controls the plurality of blood pressure detection devices 102 to detect blood pressure detection data of the corresponding users, the server 105 synchronously acquires the treatment plans of the users.
S302: a time-varying blood pressure curve is generated from the blood pressure detection data for each user.
S303: and carrying out similarity matching on the blood pressure curves of different users.
S304: and recommending friends among users with the similarity larger than a preset similarity threshold.
Steps S302-S304 are the same as steps S202-S204 and are not described herein.
S305: the treatment plan is shared among the users.
The server 105 shares the treatment plan among the users, that is, the server 105 transmits the treatment plan to the terminal 104 of the user, and the user of the treatment plan and the user corresponding to the terminal 104 make friends.
Wherein the server 105 marks the treatment plan on the blood pressure curve to which the treatment plan is applied and shares the marked blood pressure curve to which the treatment plan is applied. For example, the treatment plan may include the name and amount of the drug, which the server 105 marks on the blood pressure curve to which the treatment plan applies. In addition, server 105 may further mark individual characteristics on the blood pressure curve for applying the treatment plan.
In an embodiment, the marking of the treatment plan on the blood pressure curve for applying the treatment plan by the server 105 may specifically include: the server 105 determines the time point of applying the treatment scheme by the user, and intercepts a part of the blood pressure curve of a predetermined time period subsequent to the time point from the blood pressure curve of not applying the treatment scheme; the server 105 correlates the intercepted partial blood pressure curve with the blood pressure curve of the applied treatment plan to allow the blood pressure curve of the applied treatment plan and the partial blood pressure curve to be displayed simultaneously to the user, and the user learns the effect of the treatment plan through the blood pressure curve of the applied treatment plan and the partial blood pressure curve.
How the server 105 acquires the health information of the human body is described in detail below.
Since the human health information is often obtained by using rich empirical data and inference rules, the server 105 can acquire rich blood pressure detection data and has strong data processing capability, so that the server 105 can analyze the blood pressure detection data to acquire the human health information, and accuracy of blood pressure detection and data processing can be improved. In addition, the terminal 104 of the embodiment displays the health information and the blood pressure detection data, so that the user can know the health condition of the user in time, and the risk of diseases is reduced.
Specifically, the server 105 may pre-store blood pressure detection data, which may include a normal blood pressure detection data range, a plurality of blood pressure detection data of the same human body, a plurality of blood pressure detection data of human bodies, and the like. The server 105 may also pre-store other physiological data and mapping relationship between the other physiological data and the blood pressure detection data. The server 105 may analyze the blood pressure detection data forwarded by the terminal 104 according to the pre-stored blood pressure detection data to obtain the health information of the human body. For example, the server 105 may compare the blood pressure detection data of the human body a transferred by the terminal 104 with the normal blood pressure detection data range, or compare the blood pressure detection data of the human body a transferred by the terminal 104 with the past blood pressure detection data of the human body a, or compare the blood pressure detection data of the human body a transferred by the terminal 104 with the blood pressure detection data of the human body B, and obtain the health information of the human body a according to the comparison result.
The blood pressure detection data may include a pulse wave generated by the heart pulse pushing blood along the blood vessel, which is a periodic pressure wave. The pulse wave of a human body contains rich physiological information, such as blood pressure, heart rate, cardiovascular information and the like. Through the analysis of the pulse waveform, the cardiovascular health information can be acquired so as to reduce the occurrence of cardiovascular diseases.
Alternatively, in order to improve the accuracy of the health information, the server 105 needs to perform filtering processing on the plurality of pulse waves after acquiring the plurality of pulse waves from the terminal 104 to remove the interference noise.
Specifically, the server 105 acquires the amplitude of the pulse wave, and determines whether the amplitude is within a preset amplitude range; if yes, the server 105 determines the pulse wave with the amplitude within the preset range as the first pulse wave, and filters out the pulse waves except the first pulse wave. Further, the server 105 may obtain the amplitude of the feature point of the first pulse wave, which may include a reflected wave point, a peak point, a valley point, or other extreme point or inflection point of the first pulse wave.
Of course, in another embodiment, the server may further obtain a period of the pulse wave, and filter the pulse wave whose period is not within a preset period to obtain the first pulse wave, that is, the period is used as the filtering condition. Of course, in other embodiments, the amplitude and the period of the pulse wave can be used as the filtering condition.
Different human bodies or the same human body in different health states generate different pulse waves, i.e. different pulse conditions. The pulse conditions of traditional Chinese medicine are various, such as the smooth pulse, the pulse-promoting pulse, the chordal pulse, the Pingtai pulse, the superficial pulse, the deep pulse, the slow pulse, the rapid pulse, the deficient pulse, etc., and the waveforms of each pulse condition are different, as shown in fig. 4, and the waveforms of the smooth pulse, the pulse-promoting pulse, the chordal pulse and the Pingtai pulse are all different.
Different pulse conditions represent different health conditions of the human body, and in order to improve the accuracy of the health information, the server 105 of the embodiment further performs pulse condition (waveform) recognition on the first pulse wave.
Specifically, the server 105 of the present embodiment stores preset waveforms, which at least include a smooth pulse waveform, a pulse promoting waveform, a chordal pulse waveform, a flat pulse waveform, or the like. The server 105 matches the first pulse wave with a preset waveform after filtering the plurality of pulse waves forwarded by the terminal 104; the server 105 further obtains a preset waveform matched with the first pulse wave as a first preset waveform, and obtains health information according to the first preset waveform. For example, if the server 105 determines that the first pulse wave forwarded by the terminal 104 matches a preset smooth pulse waveform, it determines that the first pulse wave is a smooth pulse; the server 105 may further transmit the first pulse wave or the first preset waveform and the health information "slippery pulse" back to the terminal 104.
Optionally, the server 105 obtains first feature information of the first pulse wave and second feature information of the preset waveform, respectively, and if a difference between the first feature information and the second feature information is smaller than a preset difference, the server 105 determines that the first pulse wave matches the preset waveform.
Specifically, the feature information of the present embodiment may include the waveform period and the waveform stagnation point (including the extreme point and the inflection point) information of the first pulse wave. The waveform stagnation point information includes information such as the number of waveform stagnation points and time intervals between adjacent waveform stagnation points.
As shown in fig. 4, the difference between the waveform period of the pulse-promoting waveform and the waveform periods of other pulse conditions is large, and if the server 105 determines that the difference between the waveform period of the first pulse wave and the preset waveform period of the pulse-promoting waveform is smaller than the preset difference, the first pulse wave can be determined as the pulse-promoting. If the server 105 determines that the difference is greater than the preset difference, it further determines whether the number of waveform extreme points of the third pulse wave is 2 (the number of waveform extreme points of the preset smooth pulse is 2), and determines whether the amplitude of the second waveform stagnation point is larger and lower than the first waveform stagnation point; if yes, the third pulse wave can be determined as the smooth pulse. If the server 105 determines that the number of the waveform extreme points of the third pulse wave is equal to 3, it may further determine whether the interval time between the first waveform stagnation point and the second waveform stagnation point of the third pulse wave is less than a preset time (the time interval between the first waveform stagnation point and the second waveform stagnation point of the preset chordal pulse); if yes, the first pulse wave can be judged as a string pulse.
The pulse condition (waveform) of the pulse wave can be identified through the waveform period and the waveform stagnation point information of the pulse wave. Of course, in other embodiments, the pulse condition (waveform) of the pulse wave can be identified according to other characteristic information of the pulse wave. Of course, the server 105 may filter the acquired waveform stagnation points before performing pulse recognition to reduce noise interference.
Pulse diagnosis is one of the four diagnostic methods in diagnostics of traditional Chinese medicine, and is a unique diagnostic method. It mainly uses the finger sense to analyze the pulse 'position, number, shape and potential' characteristics to judge the functional state of viscera, thus realizing the purpose of non-invasive diagnosis and having positive significance for the diagnosis and treatment of diseases.
Although the existing pulse condition instrument can achieve the process of feeling pulse and graphically display the pulse wave, so that a user can visually know the pulse condition through the pulse wave, health information is obtained from the pulse condition, and abundant clinical experience is needed, so that non-medical personnel or non-professional medical personnel are difficult to accurately obtain the health information from the pulse condition waveform.
To solve the above problem, the server 105 of this embodiment further analyzes the first pulse wave to obtain more specific human health information from the first pulse wave, and the health information of this embodiment includes information such as blood pressure, pulse strength, pulse rate, and reflected wave enhancement index (AI) reflecting elasticity of artery in addition to the pulse condition information.
Specifically, the server 105 obtains several pulse waves with the largest pulse wave amplitude in the whole measurement process, for example, 3 pulse waves, and obtains the pulse strength of the human body according to the average value of the amplitudes of the peak points. The larger the amplitude of the mean value is, the larger the pulse strength is, and the magnitude of the pulse strength represents the strength of the human physique; the server 105 may also obtain pulse rate, AI value, and the like from the first pulse wave.
The server 105 returns the acquired health information to the terminal 104, and the terminal 104 displays the health information, as shown in fig. 5 and 6.
Further, the server 105 stores a preset range, and determines whether the health information is in the preset range; if yes, controlling the health information display state on the terminal 104 to be normal; if not, the health information display state on the terminal 104 is abnormal.
The server 105 may also transmit the first pulse wave or the pulse waveform corresponding to the first pulse wave, the type of the first pulse wave, the blood pressure data, etc. back to the terminal 104, and the terminal 104 displays the pulse waveform, the type, and the blood pressure data.
Optionally, the server 105 of this embodiment further obtains health information of the elasticity of the blood vessel of the human body according to the reflected wave point and the peak point, for example, if the server 105 determines that the reflected wave point is on the right side of the peak point (as shown in fig. 5), the obtained health information is that the elasticity of the blood vessel is better; if the server 105 determines that the reflected wave point is on the left side of the peak point (as shown in fig. 6), the acquired health information is that the elasticity of the blood vessel is poor.
The server 105 can also acquire health information such as bradycardia or tachycardia and arrhythmia according to the heart rate data; the server 105 may also obtain arterial health information from the AI values. The terminal 104 may also display such health information.
Different from the prior art, the server 105 analyzes the blood pressure detection data to obtain the health information of the human body, so that the accuracy of blood pressure detection and data processing can be improved; in addition, the terminal 104 of the present embodiment can display detailed health information, not just pulse waves, so that the non-medical staff can clearly know the health status of the non-medical staff through the health information.
The present application further provides a blood pressure detecting device, as shown in fig. 7, the blood pressure detecting device of the present application is the blood pressure detecting device 102 in the above embodiment, the blood pressure detecting device 102 includes a host 11 and a cuff 12, wherein the host 11 is provided with an interface 110, and the interface 110 is used for establishing a connection with the terminal 104.
Specifically, the terminal 104 is used for providing a first voltage to the blood pressure detecting device 102, that is, the terminal 104 supplies power to the host 11 of the blood pressure detecting device 102 through the interface 110. The interface 110 may be a USB interface, and the interface 110 may be connected to the terminal 104 through the data line 21. The data line 21 may be an OTG data line. When the terminal 104 is connected to the blood pressure monitor 102 via the data line 21, the terminal 104 serves as a master device, and the blood pressure monitor 102 serves as a slave device.
The cuff 12 can be worn on the arm of a human body and is in contact with the artery of the human body, and the host 11 detects blood pressure detection data and heart rate detection data of the artery of the human body through the cuff 12. The host computer 11 transmits the blood pressure detection data to the terminal 104 through the interface 110, and the terminal 104 transmits the blood pressure detection data to the server 105.
The blood pressure detection device 102 can be in data communication with the terminal 104 through the interface 110, so that a networking function is realized, and the use experience of a user is improved. In addition, the terminal 104 supplies power to the blood pressure detecting device 102, and the blood pressure detecting device 102 may not be provided with a battery, so that the volume of the blood pressure detecting device 102 is reduced, and the carrying is convenient.
Optionally, the cuff 12 of the present embodiment may include an air passage 121 and an air bladder 122, and the air passage 121 and the air bladder 122 interface.
Alternatively, the host 11 of the present embodiment may include a controller 111, a pressure sensor 112, an air pump 113, an air escape valve 114, an air pump driving circuit 115, an air escape valve driving circuit 116, a digital-to-analog conversion circuit 117, and a converter 118; the pressure sensor 112, the air pump 113 and the air release valve 114 are respectively coupled to the controller 111, the controller 111 is configured to control the air pump 113 to inflate the airbag 122, control the air release valve 114 to deflate the airbag 122, and control the pressure sensor 112 to detect the pressure of the gas in the gas channel 121.
The air passage 121 may extend to the host 11, and the air passage 121 may be connected to the pressure sensor 112, the air pump 113, and the air release valve 114, respectively. The air pump driving circuit 115 is connected between the air pump 113 and the controller 111 for driving the air pump 113, that is, the controller 111 drives the air pump 113 through the air pump driving circuit 115 to fill the air bladder 122 with air. The air release valve driving circuit 116 is connected between the air release valve 114 and the controller 111 for driving the air release valve 114, i.e. the controller 111 drives the air release valve 114 through the air release valve driving circuit 116 to deflate the air bag 122.
The host 11 is provided with a cuff interface, the air passage 121 of the cuff 12 is detachably connected to the cuff interface, and the air passage 121 is respectively connected to the pressure sensor 112, the air pump 113 and the air release valve 114 through the cuff interface.
The digital-to-analog conversion circuit 117 is connected between the pressure sensor 112 and the controller 111; when the pressure sensor 112 detects the pressure of the gas in the gas passage 121, the pressure sensor 112 is configured to convert the pressure of the gas into analog information and transmit the analog information to the digital-to-analog conversion circuit 117; the digital-to-analog conversion circuit 117 converts analog information into digital information and transmits the digital information to the controller 111.
The interface 110 may include power terminals connected to the air pump driving circuit 115 and the air release valve driving circuit 116, respectively, for supplying the first voltage V1 to the air pump driving circuit 115 and the air release valve driving circuit 116. The input terminal of the converter 118 is connected to the power supply terminal, and is configured to convert the first voltage V1 into a second voltage V2; the output terminal of the converter 118 is connected to the controller 111, the pressure sensor 112 and the digital-to-analog conversion circuit 117, respectively, for providing a second voltage V2 to the controller 111, the pressure sensor 112 and the digital-to-analog conversion circuit 117, wherein the second voltage V2 is smaller than the first voltage V1.
The interface 110 further includes a data transmission terminal, the terminal 104 sends a detection instruction to the controller 111 through the data transmission terminal, and the blood pressure detection device 102 detects blood pressure detection data according to the detection instruction. The specific detection method is shown in the method embodiment.
In other embodiments, the blood pressure detecting device 102 may further include an attitude sensor, which may be disposed on the cuff 12 and connected to the host 11. The posture sensor is used for detecting posture detection data of the user in the sleeping process. Specifically, the controller 111 may be coupled to the posture sensor for controlling the posture sensor to detect posture detection data of the user during sleep.
In other embodiments, the airbag 122 may include a reserve of gas. The controller 111 performs pressure detection on the reserved gas through the pressure sensor 112, and judges whether to start the blood pressure detection device 102 according to a pressure detection result; if so, the blood pressure detection device 102 performs blood pressure detection. By the method, automatic start of blood pressure detection can be realized, and the experience effect of a user is improved.
In other embodiments, the controller 111 further obtains the pressure variation amplitude of the pressure detection result and the second pressure threshold, and when the controller 111 determines that the pressure variation amplitude is greater than the preset variation amplitude threshold, the controller 111 starts the blood pressure detection. When the controller 111 determines that the pressure variation amplitude is smaller than the preset variation amplitude threshold, the controller 111 controls the blood pressure detecting device 102 to enter a sleep state to save power consumption.
In other embodiments, during the pressurization phase of the blood pressure detecting device 102, the blood pressure detecting device 102 adjusts the inflation speed of the gas by using closed-loop control, specifically, the controller 111 controls the air pump 113 to inflate the airbag 122, the pressure of the gas collected by the controller 111 through the pressure sensor 112 is a first pressure, and the pressure collected by the controller 111 through the pressure sensor 112 in the previous time is a second pressure; the controller derives the static pressure of cuff 12 from the first pressure and the second pressure.
The controller 11 further obtains the pressurization rate of the gas in the airbag 122 based on the static pressure, and compares the pressurization rate with a constant rate; when the controller 111 determines that the pressurization rate is less than the constant rate, the controller 111 controls the rotation speed of the air pump 113 to increase; when the controller 111 determines that the acceleration rate is greater than the constant rate, the controller 111 controls the rotation speed of the air pump 113 to decrease so that the pressurization rate is the constant rate. Therefore, the controller 111 controls the air pump 113 to inflate the airbag 122, and further controls the air pump 113 to inflate at a constant speed through the air passage, so as to ensure the accuracy of the pulse wave obtained by the controller 111.
It should be noted that the above embodiments belong to the same inventive concept, and the description of each embodiment has a different emphasis, and reference may be made to the description in other embodiments where the description in individual embodiments is not detailed.
The principle and the implementation of the present application are explained herein by applying specific examples, and the above description of the embodiments is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. An information sharing method based on blood pressure detection is characterized by comprising the following steps:
acquiring blood pressure detection data of a plurality of users;
generating a blood pressure curve which changes along with time according to the blood pressure detection data aiming at each user;
carrying out similarity matching on the blood pressure curves of different users;
and recommending friends among users with the similarity larger than a preset similarity threshold.
2. The method of claim 1, wherein the step of making friend recommendation between users with similarity greater than a preset similarity threshold further comprises:
recommending the same chat group to users with the similarity larger than the similarity threshold; or
And recommending friends among the users with the similarity larger than the similarity threshold value.
3. The method of claim 2, wherein the blood pressure curves include a blood pressure curve without a treatment regimen applied and a blood pressure curve with a treatment regimen applied;
the step of matching the blood pressure curves of different users for similarity comprises:
similarity matching is performed on the blood pressure curves of the non-treatment-applied protocols of different users.
4. The method of claim 3, wherein the step of obtaining blood pressure measurement data for a plurality of users further comprises:
obtaining individual characteristics of the user, wherein the individual characteristics comprise at least one or a combination of age, height, weight and body fat rate;
the step of matching the blood pressure curves of different users for similarity comprises:
and performing similarity matching on the blood pressure curves of the non-applied treatment schemes, of which the difference between the individual characteristics is smaller than a preset difference threshold value.
5. The method of claim 4, wherein the step of obtaining blood pressure measurement data for a plurality of users further comprises:
acquiring a treatment plan of each user;
the method further comprises:
sharing the treatment plan among the users.
6. The method of claim 5,
the step of sharing the treatment plan among the users comprises:
marking the treatment regimen on the blood pressure curve of the applied treatment regimen;
sharing the blood pressure curve of the treatment regimen after labeling.
7. The method of claim 6, wherein the step of marking the treatment plan on the blood pressure curve of the applied treatment plan further comprises:
marking the individual characteristic on the blood pressure curve of the applied treatment regimen.
8. The method of claim 6, wherein the step of marking the treatment plan on the blood pressure curve of the applied treatment plan further comprises:
determining a point in time at which the user applies the treatment regimen;
intercepting a part of the blood pressure curve of a predetermined time period subsequent to the time point from the blood pressure curve without the treatment scheme;
correlating the intercepted portion of the blood pressure curve with the treatment plan applied blood pressure curve to allow the blood pressure curve of the treatment plan applied and the portion of the blood pressure curve to be displayed to the user simultaneously.
9. A blood pressure detection system is characterized by comprising a blood pressure detection device, a terminal and a server, wherein the terminal is respectively in communication connection with the blood pressure detection device and the server; the blood pressure detection device is used for detecting blood pressure detection data of a user; the server is used for realizing the information sharing method according to any one of claims 1-8.
10. A blood pressure monitor according to claim 9, wherein the blood pressure monitor comprises a main unit and a cuff, the main unit is provided with an interface connected to the terminal, and the terminal supplies a first voltage to the blood pressure monitor; when the blood pressure detection device detects blood pressure, the cuff is in contact with an artery of a human body, and the host detects blood pressure detection data of a user through the cuff.
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596105A (en) * | 2009-06-30 | 2009-12-09 | 姚亦鸣 | A kind of device that detects blood pressure data |
| CN103181760A (en) * | 2011-12-31 | 2013-07-03 | 北京润池润生科技有限公司 | Method and device for measuring and analyzing blood pressure |
| CN204274429U (en) * | 2014-03-28 | 2015-04-22 | 尚奇浩康（北京）科技有限公司 | A kind of electronic blood pressure takes into account blood pressure management system |
| CN104688180A (en) * | 2013-12-09 | 2015-06-10 | 中国工程物理研究院流体物理研究所 | Whitening effect judging method based on spectral imaging |
| CN104939816A (en) * | 2015-05-25 | 2015-09-30 | 郭鹏飞 | Multifunctional electronic sphygmomanometer capable of reducing blood pressure |
| US20150363553A1 (en) * | 2013-06-18 | 2015-12-17 | Naryan L. Rustgi | Medical registry |
| CN105303010A (en) * | 2014-06-06 | 2016-02-03 | 虹映科技股份有限公司 | Interactive health record information exchange system and method |
| CN107692988A (en) * | 2017-10-17 | 2018-02-16 | 四川长虹电器股份有限公司 | The method of monitoring of blood pressure method and graphic software platform based on intelligent platform |
| CN108784642A (en) * | 2018-05-30 | 2018-11-13 | 广州众健医疗科技有限公司 | A kind of spectrum biopsy instrument for early carcinoma of stomach diagnosis |
| CN109065122A (en) * | 2018-08-20 | 2018-12-21 | 深圳智裳科技有限公司 | A kind of method and system that fitness campaign is made friends |
| CN110353695A (en) * | 2019-07-19 | 2019-10-22 | 湖南工程学院 | A kind of wearable athletic rehabilitation guidance and monitor system and its method |
-
2019
- 2019-11-05 CN CN201911072611.6A patent/CN112826469A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101596105A (en) * | 2009-06-30 | 2009-12-09 | 姚亦鸣 | A kind of device that detects blood pressure data |
| CN103181760A (en) * | 2011-12-31 | 2013-07-03 | 北京润池润生科技有限公司 | Method and device for measuring and analyzing blood pressure |
| US20150363553A1 (en) * | 2013-06-18 | 2015-12-17 | Naryan L. Rustgi | Medical registry |
| CN104688180A (en) * | 2013-12-09 | 2015-06-10 | 中国工程物理研究院流体物理研究所 | Whitening effect judging method based on spectral imaging |
| CN204274429U (en) * | 2014-03-28 | 2015-04-22 | 尚奇浩康（北京）科技有限公司 | A kind of electronic blood pressure takes into account blood pressure management system |
| CN105303010A (en) * | 2014-06-06 | 2016-02-03 | 虹映科技股份有限公司 | Interactive health record information exchange system and method |
| CN104939816A (en) * | 2015-05-25 | 2015-09-30 | 郭鹏飞 | Multifunctional electronic sphygmomanometer capable of reducing blood pressure |
| CN107692988A (en) * | 2017-10-17 | 2018-02-16 | 四川长虹电器股份有限公司 | The method of monitoring of blood pressure method and graphic software platform based on intelligent platform |
| CN108784642A (en) * | 2018-05-30 | 2018-11-13 | 广州众健医疗科技有限公司 | A kind of spectrum biopsy instrument for early carcinoma of stomach diagnosis |
| CN109065122A (en) * | 2018-08-20 | 2018-12-21 | 深圳智裳科技有限公司 | A kind of method and system that fitness campaign is made friends |
| CN110353695A (en) * | 2019-07-19 | 2019-10-22 | 湖南工程学院 | A kind of wearable athletic rehabilitation guidance and monitor system and its method |
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