阅读说明：本技术 血压检测装置、血压检测系统及血压监测方法 (Blood pressure detection device, blood pressure detection system and blood pressure monitoring method ) 是由 李铁才 罗宇 于 2019-11-05 设计创作，主要内容包括：本申请公开了一种血压检测装置、血压检测系统及血压监测方法。该血压监测方法包括：获取用户的血压检测数据,并同步获取用户的动作检测数据；根据所述血压检测数据生成随时间变化的第一血压曲线,并根据所述动作检测数据得到所述用户在不同时段的状态；在所述第一血压曲线上对所述状态进行标记。本申请能够直观地获取状态和血压检测数据之间的关系,提高用户的使用体验。(The application discloses a blood pressure detection device, a blood pressure detection system and a blood pressure monitoring method. The blood pressure monitoring method comprises the following steps: acquiring blood pressure detection data of a user, and synchronously acquiring action detection data of the user; generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data; marking the status on the first blood pressure curve. The method and the device can intuitively acquire the relation between the state and the blood pressure detection data, and improve the use experience of a user.)

1. A method of monitoring blood pressure, the method comprising:

controlling a blood pressure detection device to detect blood pressure detection data and motion detection data of a user and receiving the blood pressure detection data and the motion detection data;

generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data;

marking the status on the first blood pressure curve.

2. The method of claim 1, wherein the step of generating a first blood pressure curve over time based on the blood pressure detection data and deriving the status of the user at different time periods based on the motion detection data comprises:

determining the action amplitude and action frequency of the user according to the action detection data;

and obtaining the state of the user according to the action amplitude and the action frequency.

3. The method of claim 1, further comprising:

confirming whether the current state of the user is a motion state;

if the user is in the motion state, further inquiring whether a second blood pressure curve which is recorded in history and is not in the motion state of the user in the same time period exists;

and if the second blood pressure curve exists, correlating the first blood pressure curve with the second blood pressure curve.

4. The method of claim 3, wherein the step of correlating the first and second blood pressure curves comprises:

and cutting a partial curve in the same time period from the second blood pressure curve and correlating with the first blood pressure curve, so that the cut partial curve can be displayed synchronously with the first blood pressure curve.

5. The method of claim 3, further comprising:

forming a suggestion for a current exercise process according to a difference between blood pressure values characterized by the first blood pressure curve and the second blood pressure curve within the same time period;

if the difference is larger than a preset first difference threshold value, a suggestion for reducing the amount of exercise in the current exercise process is formed;

and if the difference is smaller than a preset second difference threshold value, forming a suggestion of increasing the amount of exercise in the current exercise process.

6. The method of claim 1, further comprising:

confirming whether the current state of the user is a motion state;

if the user is in the motion state, further inquiring whether a second blood pressure curve which is recorded in history and is not in the motion state of the user in a first time period and a second time period exists, wherein the first time period is the time period when the user is in the motion state currently, and the second time period is a preset time period after the user finishes the current motion state;

and if the second blood pressure curve exists, correlating the first blood pressure curve with the second blood pressure curve.

7. The method of claim 6, further comprising:

and forming a suggestion for the next exercise process according to the difference value between the blood pressure values represented by the first blood pressure curve and the second blood pressure curve generated in a preset time period after the user finishes the current exercise state.

8. The method of claim 7, wherein the step of creating a recommendation for the next exercise session based on the difference between the blood pressure values represented by the first and second blood pressure curves within a predetermined time period after the user has finished the current exercise state comprises:

and if the difference is smaller than a preset difference threshold value or the duration time of the difference larger than the difference threshold value is smaller than a preset time threshold value, a suggestion that the amount of exercise is increased in the next exercise process is formed.

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 monitoring blood pressure detection data and motion detection data of a user; the server is used for implementing the blood pressure monitoring 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, a cuff, and a motion sensor, 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, the host computer detects the blood pressure detection data through the cuff and detects the action detection data through the motion sensor.

Technical Field

The present application relates to the field of blood pressure monitoring technology, and in particular, to a blood pressure monitoring device, a blood pressure monitoring system, and a blood pressure monitoring method.

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 application finds that the existing sphygmomanometer is only used for detecting the blood pressure of a user and cannot detect the motion detection data of the user in the long-term research and development process; the blood pressure detected by the sphygmomanometer is increased after the user exercises, so that the user cannot judge the reason of the blood pressure increase, and the use experience of the user is influenced.

Disclosure of Invention

In order to solve the above problems of the sphygmomanometer in the prior art, the present application provides a blood pressure detection device, a blood pressure detection system, and a blood pressure monitoring method.

In order to solve the above problem, an embodiment of the present application provides a blood pressure monitoring method, where the method includes:

controlling a blood pressure detection device to detect blood pressure detection data and motion detection data of a user and receiving the blood pressure detection data and the motion detection data;

generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data;

marking the status on the first blood pressure curve.

In order to solve the above problem, an embodiment of the present application provides a blood pressure detection system, including at least 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 acquiring blood pressure detection data of a user; the server acquires the blood pressure detection data from the blood pressure detection device through the terminal; the server is used for realizing the blood pressure monitoring method.

In order to solve the above problem, an embodiment of the present application provides a blood pressure detecting device, where the blood pressure detecting device includes a host, a cuff, and a motion sensor, the host is provided with an interface connected to a 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, the host computer detects blood pressure detection data of a user through the cuff and detects action detection data of the user through the motion sensor.

Compared with the prior art, the method and the device have the advantages that the blood pressure detection device is controlled to detect the blood pressure detection data and the action detection data of the user, and the blood pressure detection data and the action detection data are received; generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data; the state is marked on the first blood pressure curve, so that the method and the device can detect the action detection data of the user in real time, and obtain the state of the user according to the action detection data so as to monitor the state of the user; in addition, the state is marked on the first blood pressure curve, the relation between the state and the blood pressure detection data can be intuitively obtained, the reason that the blood pressure rises is prevented from being misjudged by a user, and the use experience of the user is improved.

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 schematic flow chart diagram illustrating an embodiment of a method for monitoring blood pressure according to the present application;

FIG. 3 is a schematic flow chart diagram illustrating another embodiment of a blood pressure monitoring method of the present application;

FIG. 4 is a schematic flow chart diagram illustrating a blood pressure monitoring method according to another embodiment of the present application;

FIG. 5 is a schematic flow chart diagram of another embodiment of the blood pressure monitoring method of the present application;

FIG. 6 is a waveform of a pulse condition detected by the embodiment of FIG. 1;

FIG. 7 is a waveform of another pulse condition detected by the embodiment of FIG. 1;

FIG. 8 is a waveform of another pulse condition detected by the embodiment of FIG. 1;

fig. 9 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 a blood pressure monitoring method of an embodiment, which is applied to a blood pressure detection system 101, and specifically includes the following steps:

s11: controlling the blood pressure detection device to detect blood pressure detection data and motion detection data of the user and receive the blood pressure detection data and the motion detection data.

During the exercise of the user, the server 105 controls the blood pressure detection device 102 to detect the blood pressure detection data and the motion detection data of the user, that is, the server 105 can control the blood pressure detection device 102 to detect the blood pressure detection data and the motion detection data of the user through the terminal 104, for example, the server 105 controls the terminal 104 to supply power to the blood pressure detection device 102, the blood pressure detection device 102 may be provided with a cuff and a motion sensor, the blood pressure detection device 102 detects the blood pressure detection data of the user through the cuff in real time, and detects the motion detection data of the user through the motion sensor, which may be an infrared sensor.

The server 105 receives the blood pressure detection data and the motion detection data, that is, the server 105 may receive the blood pressure detection data and the motion detection data through the terminal 104, and the blood pressure detection data may be blood pressure, heart rate, brain wave, blood oxygen saturation, or the like.

S12: and generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data.

The server 105 generates a first blood pressure curve changing with time according to the blood pressure detection data, for example, the server 105 establishes a coordinate system, the time is used as an abscissa of the coordinate system, and the blood pressure detection data is used as an ordinate of the coordinate system; the server 105 generates a first blood pressure curve that changes with time on the coordinate system from the blood pressure detection data, and saves the first blood pressure curve. Therefore, the server 105 can monitor the blood pressure detection data and the motion detection data of the user in real time, and can remind the user when the blood pressure detection data is abnormal.

The server 105 obtains the states of the user at different time periods according to the motion detection data, specifically, the server 105 determines the motion amplitude and the motion frequency of the user according to the motion detection data, and obtains the states of the user according to the motion amplitude and the motion frequency; the states may include an exercise state and a sleep state.

For example, the blood pressure detecting device 102 may establish a connection with the terminal 104 through bluetooth, the blood pressure detecting device 102 takes the terminal 104 as a reference, when the blood pressure detecting device 102 moves, the blood pressure detecting device 102 obtains a distance between the blood pressure detecting device 102 and the terminal 104 through a bluetooth protocol, and records a moving time of the blood pressure detecting device 102, where the motion detection data includes the distance and the moving time; the server 105 can analyze the action amplitude of the user according to the change of the distance, and can analyze the action frequency according to the movement time.

S13: the status is marked on the first blood pressure curve.

The server 105 marks the status on the first blood pressure curve; the server 105 may send the first blood pressure curve marked with the state to the terminal 104, and the user may visually obtain the relationship between the state and the blood pressure detection data through the terminal 104, so as to improve the user experience.

The embodiment controls the blood pressure detection device 102 to detect the blood pressure detection data and the motion detection data of the user, receives the blood pressure detection data and the motion detection data, obtains the states of the user at different time intervals according to the motion detection data, can detect the motion detection data of the user in real time, and obtains the states of the user according to the motion detection data, so as to realize monitoring of the states of the user. In addition, the state is marked on the first blood pressure curve, so that the relation between the state and the blood pressure detection data can be intuitively obtained, the reason that the blood pressure is increased is prevented from being misjudged by a user, and the use experience of the user is improved.

In other embodiments, the main executing body of the blood pressure monitoring method of the present application may be the terminal 104, for example, the terminal 104 controls the blood pressure detecting device 102 to detect the blood pressure detection data and the motion detection data of the user, and receives the blood pressure detection data and the motion detection data; the terminal 104 obtains the states of the user at different time intervals according to the motion detection data, and marks the states on the first blood pressure curve; and will not be described in detail herein.

The present application provides a blood pressure monitoring method according to another embodiment, as shown in fig. 3, the blood pressure monitoring method according to the present embodiment includes the following steps:

s301: controlling the blood pressure detection device to detect blood pressure detection data and motion detection data of the user and receive the blood pressure detection data and the motion detection data.

S302: and generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data.

S303: the status is marked on the first blood pressure curve.

Steps S301-S303 are the same as steps S11-S13, and are not repeated herein.

S304: and confirming whether the current state of the user is a motion state.

The server 105 confirms whether the current state of the user is a motion state. The server 105 may preset an action amplitude threshold and an action frequency threshold, and the server 105 compares the action amplitude and the action frequency with the action amplitude threshold and the action frequency threshold, respectively, to determine whether the current state of the user is a motion state. For example, if the server 105 determines that the motion amplitude is greater than the motion amplitude threshold and/or the motion frequency is greater than the motion frequency threshold, the server 105 confirms that the current state of the user is a motion state, and proceeds to step S305.

S305: it is further queried whether there is a second blood pressure curve of the history that the user is not in motion during the same time period.

The server 105 further queries whether there is a second blood pressure curve of the history that the user is not in the exercise state within the same time period, for example, at the time period 19-20, the user's state is in the exercise state, and then the server 105 queries whether there is a second blood pressure curve of the history that the user is not in the exercise state (for example, the user is in the sleep state) within the same time period (19-20). If the second blood pressure curve exists, the process proceeds to step S306.

S306: the first and second blood pressure curves are correlated.

The server 105 correlates the first blood pressure curve with the second blood pressure curve, i.e. the server 105 cuts a part of the curve in the same time period from the second blood pressure curve and correlates the cut part of the curve with the first blood pressure curve, so that the cut part of the curve can be displayed synchronously with the first blood pressure curve.

The server 105 forms a recommendation for the current course of motion from the difference between the blood pressure values characterized by the first blood pressure curve and the second blood pressure curve within the same time period. The server 105 presets a first difference threshold and a second difference threshold, where the second difference threshold is smaller than the first difference threshold. The server 105 further compares the difference with a first difference threshold, and if the server 105 determines that the difference is greater than the first difference threshold, the server 105 forms a recommendation to decrease the amount of motion during the current motion. If the server 105 determines that the difference is less than or equal to the first difference threshold, the server 105 compares the difference with a second difference threshold, and if the server 105 determines that the difference is less than the second difference threshold, the server 105 forms a suggestion for increasing the amount of motion in the current motion process.

Therefore, the server 105 of the embodiment forms a suggestion for the current exercise process according to the difference value between the blood pressure values represented by the first blood pressure curve and the second blood pressure curve in the same time period, so that the suggestion can be formed in real time, intellectualization is realized, and the body-building efficiency and the use experience of the user are improved.

The present application provides a blood pressure monitoring method according to another embodiment, as shown in fig. 4, the blood pressure monitoring method according to the present embodiment includes the following steps:

s401: controlling the blood pressure detection device to detect blood pressure detection data and motion detection data of the user and receive the blood pressure detection data and the motion detection data.

S402: and generating a first blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the states of the user at different time intervals according to the action detection data.

S403: the status is marked on the first blood pressure curve.

S404: and confirming whether the current state of the user is a motion state.

Steps S401-S404 are the same as steps S301-S304 and will not be described herein.

S405: querying whether there is a second blood pressure curve that is historical for which the user is not in motion for both the first time period and the second time period.

The server 105 confirms that the state of the user is the motion state, and the server 105 further inquires whether there is a second blood pressure curve which is recorded in history and is not in the motion state in the first time period and the second time period. The first time period is the time period when the user is in the motion state currently; the second time period is a time period after the user ends the current motion state. For example, if the first time period is 19 points-20 points and the second time period is 20 points-21 points, the server 105 queries the second blood pressure curve that has been recorded to have no user in motion for the time period of 19 points-21 points. If the server 105 inquires that the second blood pressure curve exists, the process proceeds to step S406.

S406: the first and second blood pressure curves are correlated.

Step S406 is the same as step S306, and is not described herein again.

S407: and forming a suggestion for the next exercise process according to the difference value between the blood pressure values represented by the first blood pressure curve and the second blood pressure curve in a preset time period after the user finishes the current exercise state.

The server 105 forms a recommendation for the next exercise session based on the difference between the blood pressure values represented by the first blood pressure curve and the second blood pressure curve within a predetermined time period after the user has finished exercising. Specifically, the server 105 further presets a difference threshold and a time threshold, and the server 105 compares the difference with the difference threshold; if the difference is smaller than the preset difference threshold or the difference is larger than the difference threshold, the server 105 counts the duration that the difference is smaller than the preset difference threshold or the difference is larger than the difference threshold, and compares the duration with the time threshold. If the server 105 determines that the difference is smaller than the preset difference threshold or the duration of the difference larger than the preset difference threshold is smaller than the preset time threshold, the server 105 forms a suggestion for increasing the amount of exercise in the next exercise process.

In this embodiment, the server 105 forms a suggestion for the next exercise process according to the difference between the blood pressure values represented by the first blood pressure curve and the second blood pressure curve within the predetermined time period after the user finishes the exercise state, so that a suggestion for the next exercise can be formed, the intellectualization is realized, and the use experience of the user is improved.

The present application provides a blood pressure monitoring method of another embodiment, which is used for monitoring an emotional state of a user, as shown in fig. 5, the blood pressure monitoring method specifically includes the following steps:

s501: and controlling the blood pressure detection device to detect blood pressure detection data and heart rate detection data of the user and receive the blood pressure detection data and the heart rate detection data.

The server 105 controls the blood pressure detection device 102 to detect the blood pressure detection data and the heart rate detection data of the user and receives the blood pressure detection data and the heart rate detection data; that is, the blood pressure detection device 102 is provided with a cuff, the blood pressure detection device 102 can detect blood pressure detection data and heart rate detection data of the user by the cuff, and the server 105 acquires the blood pressure detection data and the heart rate detection data of the user, which may be blood pressure, brain waves, blood oxygen saturation, or the like, from the blood pressure detection device 102 through the terminal 104.

S502: and generating a blood pressure curve which changes along with time according to the blood pressure detection data, and obtaining the emotional states of the user in different time periods according to the heart rate detection data.

The server 105 generates a blood pressure curve changing with time according to the blood pressure detection data, for example, the server 105 establishes a coordinate system, the time is used as an abscissa of the coordinate system, and the blood pressure detection data is used as an ordinate of the coordinate system; the server 105 generates a time-varying blood pressure curve on the coordinate system from the blood pressure detection data. Therefore, the server 105 can monitor the blood pressure detection data of the user in real time, and can remind the user when the blood pressure detection data is abnormal.

The emotional state may include an emotional abnormal state and a non-emotional abnormal state. When the emotional state is an emotional abnormal state, for example, the emotional abnormal state may include emotional agitation, the blood pressure of the user is increased, and moreover, the emotional abnormal state may cause the blood vessels of the user to shrink suddenly, the blood pressure is increased immediately, and cardiovascular and cerebrovascular diseases are easy to occur. Therefore, the server 105 obtains the emotional states of the user at different time intervals according to the heart rate detection data to monitor the current emotional state of the user, so as to remind the user to adjust the mood in time and avoid sudden rise of the blood pressure of the user.

The server 105 may determine the heart rate variation amplitude of the user within a preset time interval according to the heart rate detection data, and determine the current emotional state of the user according to the heart rate variation amplitude. Specifically, the server 105 is provided with preset time, and the preset time may be 10 minutes, so that the server 105 determines the heart rate variation amplitude of the user within 10 minutes interval according to the heart rate detection data, and determines the current emotional state of the user according to the heart rate variation amplitude; for example, the amplitude threshold is preset in the server 105, the server 105 compares the heart rate variation amplitude with the amplitude threshold, and if the heart rate variation amplitude is greater than the amplitude threshold, the server 105 determines that the current emotional state of the user is an emotional abnormal state, and reminds the user. If the heart rate variation amplitude is smaller than the amplitude threshold value, the server 105 judges that the current emotional state of the user is a non-emotional abnormal state.

S503: the emotional state is marked on the blood pressure curve.

The server 105 marks the emotional state on the blood pressure curve; for example, server 105 labels the emotional abnormal state and the non-emotional abnormal state on the blood pressure curve according to time. The server 105 may transmit the blood pressure curve marked with the emotional state to the terminal 104, and the user may visually observe the influence of the emotional state on the blood pressure detection data through the terminal 104.

The blood pressure monitoring method of this embodiment can be implemented on the basis of the blood pressure monitoring method disclosed above, for example, after step S501 and step S13, which are not described herein again.

The embodiment controls the blood pressure detection device 102 to detect the blood pressure detection data and the heart rate detection data of the user and receive the blood pressure detection data and the heart rate detection data; the method comprises the steps of generating a blood pressure curve which changes along with time according to blood pressure detection data, obtaining emotional states of a user in different time periods according to heart rate detection data, namely obtaining the emotional states of the user according to the heart rate detection data, marking the emotional states on the blood pressure curve, observing the influence of the emotional states on the blood pressure from the marked blood pressure curve, and improving the use experience of the user.

In an embodiment, the server 105 may obtain blood pressure detection data of a plurality of users, generate a labeled blood pressure curve for each user, and share the labeled blood pressure curve among the plurality of users, where the labeled blood pressure curve is the blood pressure curve disclosed in the above embodiment. When the user sets the sharing blood pressure curve through the terminal 104, the server 105 transmits the marked blood pressure curve to the terminals 104 of other users, so as to share the marked blood pressure curve among a plurality of users.

The blood pressure monitoring method disclosed in the above embodiments can be implemented on the terminal 104, and will not be described herein again. 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. 6, 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. 6, 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. 7 and 8.

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. 7), 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. 8), 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. 9, 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, a cuff 12 and a motion sensor 13, wherein the host 11 is provided with an interface 110, and the interface 110 is used for establishing a connection with the terminal 104. The motion sensor 13 may be provided on the cuff 12 and connected to the host computer 11.

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 of the artery of the human body through the cuff 12. The host 11 synchronously detects the motion detection data of the user through the motion sensor 13; the host computer 11 transmits the blood pressure detection data and the motion detection data to the terminal 104 through the interface 110, and the terminal 104 transmits the blood pressure detection data and the motion 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 controller 111 is also coupled to the motion sensor 13 for controlling the gesture sensor 13 to detect motion detection data of the user.

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 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.