CN112826472B - Blood pressure detection system and blood pressure detection device - Google Patents
Blood pressure detection system and blood pressure detection device Download PDFInfo
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- 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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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
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- A61B5/4815—Sleep quality
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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
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Abstract
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 gesture detection data of a user in a sleeping process; analyzing the sleeping gesture of the user at the current moment according to the gesture detection data; and selecting an appropriate blood pressure detection device from at least two blood pressure detection devices respectively worn at different parts of the user according to the sleeping posture of the current moment to detect the blood pressure of the user. The blood pressure detection device can be prevented from being pressed when the user lies on one side, and the accuracy of the detection result of the blood pressure detection device is improved.
Description
Technical Field
The present disclosure relates to the field of blood pressure detection, and in particular, to a blood pressure detection system and a blood pressure detection device.
Background
In modern society, the incidence of chronic cardiovascular diseases is continuously increased due to the comprehensive effects of dietary structures, unreasonable work and rest time, insufficient exercise, smoking, drinking and other dangerous factors, the age of patients is gradually reduced, and the threat of cardiovascular diseases to the physical health of human beings is also increasing.
The inventor of the application finds that the existing sphygmomanometer is large in size in a long-term research and development process, and the sphygmomanometer cannot monitor sleeping posture and blood pressure change of a user in real time when the user sleeps.
Disclosure of Invention
In order to solve the above problems of the prior art sphygmomanometer, the present application provides a blood pressure detection system and a blood pressure detection device.
To solve the above problems, an embodiment of the present application provides a blood pressure monitoring method, including:
acquiring gesture detection data of a user in a sleeping process;
analyzing the sleeping gesture of the user at the current moment according to the gesture detection data;
and selecting an appropriate blood pressure detection device from at least two blood pressure detection devices respectively worn at different parts of the user according to the sleeping posture of the current moment to detect the blood pressure of the user.
In order to solve the above problems, an embodiment of the present application provides a blood pressure detection system, which includes at least two blood pressure detection devices, a terminal and a server, wherein the terminal establishes communication connection with the blood pressure detection devices and the server respectively; the blood pressure detection device is used for acquiring gesture detection data of a user in the sleeping process; the server acquires the posture 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 problems, an embodiment of the present application provides a blood pressure detecting device, where the blood pressure detecting device is the above blood pressure detecting device, and includes a host, a cuff, and an attitude sensor, where 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 the artery of the human body, the host detects blood pressure detection data of a user through the cuff, and detects posture detection data of the user in a sleeping process through the posture sensor.
Compared with the prior art, the method and the device acquire gesture detection data of the user in the sleeping process; analyzing the sleeping gesture of the user at the current moment according to the gesture detection data; according to the sleeping posture at the current moment, selecting a proper blood pressure detection device from at least two blood pressure detection devices respectively worn at different parts of the user to detect the blood pressure of the user, and monitoring the blood pressure of the user in real time in the sleeping process; in addition, the proper blood pressure detection device is selected from at least two blood pressure detection devices respectively worn at different parts of the user according to the sleeping posture at the current moment, so that the blood pressure detection device is prevented from being pressed when the user lies on one side, and the accuracy of the detection result of the blood pressure detection device 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 that are needed 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 that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an embodiment of a blood pressure detection system of the present application;
FIG. 2 is a flow chart of an embodiment of a blood pressure monitoring method of the present application;
FIG. 3 is a flowchart illustrating an embodiment of step S13 in FIG. 2;
FIG. 4 is a flowchart illustrating the step S13 in FIG. 2 according to another embodiment;
FIG. 5 is a flow chart of another embodiment of the blood pressure monitoring method of the present application;
FIG. 6 is a flow chart of a further embodiment of the blood pressure monitoring method of the present application;
FIG. 7 is a waveform diagram of a pulse condition detected by the embodiment of FIG. 1;
FIG. 8 is another waveform diagram of the pulse condition detected by the embodiment of FIG. 1;
FIG. 9 is a waveform diagram of yet another pulse condition detected by the embodiment of FIG. 1;
fig. 10 is a schematic structural view of an embodiment of the blood pressure detecting device of the present application.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. It is specifically noted that the following examples are only for illustration of the present application, but do not limit the scope of the present application. Likewise, the following embodiments are only some, but not all, of the embodiments of the present application, and all other embodiments obtained by one of ordinary skill in the art without inventive effort 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 this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that embodiments of the present application described herein may be implemented, for example, in sequences other than those illustrated or 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. 1-2, the blood pressure monitoring method of the present application is applied to a blood pressure detection system 101, where the blood pressure detection system 101 includes at least two blood pressure detection devices, a terminal 104 and a server 105.
The at least two blood pressure detecting devices may include a blood pressure detecting device 102 and a blood pressure detecting device 103, where the blood pressure detecting device 102 and the blood pressure detecting device 103 are worn on different parts of the user, for example, the blood pressure detecting device 102 is worn on the left hand of the user, and the blood pressure detecting device 103 is worn on the right hand of the user.
The terminal 104 establishes communication connection with the blood pressure detecting device 102, the blood pressure detecting device 103, and the server 105, respectively. Wherein the terminal 104 may establish a wired connection or a wireless connection with the blood pressure detection device 102 and the blood pressure detection device 103, and the terminal 104 may 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 computer, a personal digital assistant, a wearable device, etc., and the server 105 may be a smart computer system distributed in a network or a cloud.
The blood pressure monitoring method of the embodiment specifically comprises the following steps:
s11: and acquiring gesture detection data of the user in the sleeping process.
During sleep, the blood pressure detection device 102 and/or the blood pressure detection device 103 are configured to detect posture detection data of a user, and the terminal 104 receives the posture detection data from the blood pressure detection device 102 and/or the blood pressure detection device 103. The terminal 104 transmits the posture detection data to the server 105, so that the server 105 acquires the posture detection data of the user during sleep. The posture detection data is acquired by using a posture sensor integrated inside the blood pressure detection device, that is, the blood pressure detection device 102 and/or the blood pressure detection device 103 may acquire the posture detection data by using the posture sensor integrated inside.
In an embodiment, the terminal 104 sends a detection instruction to the blood pressure detection device 102 and/or the blood pressure detection device 103 according to a preset time, and the blood pressure detection device 102 and/or the blood pressure detection device 103 detects posture detection data of the user during sleep according to the detection instruction.
S12: and analyzing the sleeping gesture of the user at the current moment according to the gesture detection data.
The server 105 analyzes the sleeping posture of the user at the current moment according to the posture detection data, so that the server 105 can monitor the sleeping posture of the user in the sleeping process in real time. The sleeping posture may include supine, lateral or prone posture, among others.
S13: and selecting an appropriate blood pressure detection device from at least two blood pressure detection devices respectively worn at different parts of the user according to the sleeping posture of the user at the current moment to detect the blood pressure of the user.
The server 105 selects an appropriate blood pressure detection device from the blood pressure detection devices 102 and 103 respectively worn at different parts of the user according to the sleeping posture at the current time to perform blood pressure detection on the user; for example, when the sleep posture at the present time is left-side lying, the server 105 selects the blood pressure detecting device 103 to detect the blood pressure of the user; the sleeping posture at the current moment is right side lying, and the server 105 selects the blood pressure detection device 102 to detect the blood pressure of the user; the sleep posture at the present time is supine or prone, and the server 105 selects the blood pressure detection device 102 or the blood pressure detection device 103 to detect the blood pressure of the user.
The server 105 selects an appropriate blood pressure detecting device and controls the appropriate blood pressure detecting device to detect the blood pressure of the user to detect the blood pressure detection data of the user; for example, the server 105 controls the terminal 104 to supply power to an appropriate blood pressure detecting device (blood pressure detecting device 102 or blood pressure detecting device 103) for detecting blood pressure detection data of a user. The blood pressure detection data may be blood pressure, heart rate, brain waves, blood oxygen saturation, or the like.
The server 105 selects the proper blood pressure detection device from the at least two blood pressure detection devices respectively worn at different parts of the user according to the sleeping posture at the current moment to detect the blood pressure of the user, can monitor the blood pressure of the user in real time in the sleeping process, can avoid the blood pressure detection device from being pressed when the user lies on one side, and improves the accuracy of the detection result of the blood pressure detection device.
In an embodiment, the steps S11 to S13 may be implemented on the terminal 104, which is not described herein.
In an embodiment, as shown in fig. 3, step S13 may include the following steps:
s131: and determining the external pressure conditions of different parts of the user according to the sleeping posture at the current moment.
The server 105 determines the external pressure conditions of different parts of the user according to the sleeping posture at the current moment; for example, the sleeping posture at the present time is lying on the left side, and the server 105 determines that the external pressure to which the left hand is subjected is greater than the external pressure to which the right hand is subjected; the sleeping posture at the present moment is lying on the right side, and the server 105 determines that the external pressure applied to the right hand is greater than the external pressure applied to the left hand.
S132: the blood pressure detecting device selects a portion having a relatively small external pressure to detect the blood pressure of the user.
The server 105 selects a blood pressure detection device on a portion where the external pressure is relatively small to detect the blood pressure of the user; for example, when the sleeping posture at the present time is lying on the left side, the server 105 selects the blood pressure detecting device 103 having a relatively small external pressure to perform blood pressure detection on the user; when the sleeping posture at the present time is lying on the right side, the server 105 selects the blood pressure detection device 102 having a relatively small external pressure to perform blood pressure detection on the user.
In another embodiment, as shown in fig. 4, step S13 may include the steps of:
s231: and respectively detecting the pressure of the reserved gas in the air bags of the at least two blood pressure detection devices worn at different parts of the user.
The blood pressure detection device 102 performs pressure detection on the reserved gas in the air bag of the blood pressure detection device 102 to obtain a first detection result; the blood pressure detection device 103 performs pressure detection on the reserved gas in the air bag of the blood pressure detection device 103 to obtain a second detection result; the server 105 acquires a first detection result and a second detection result from the blood pressure detection device 102 and the blood pressure detection device 103, respectively, to obtain detection results, the detection results including the first detection result and the second detection result.
Optionally, before step S231, step S13 may further include:
the posture detection data of at least two blood pressure detection devices are acquired, that is, the blood pressure detection device 102 acquires first posture detection data, the blood pressure detection device 103 acquires second posture detection data, and the server 105 acquires the first posture detection data and the second posture detection data from the blood pressure detection device 102 and the blood pressure detection device 103, respectively, to obtain posture detection data, wherein the posture detection data includes the first posture detection data and the second posture detection data.
The server 105 determines, according to the first posture detection data and the second posture detection data, that when the blood pressure detection device 102 and the blood pressure detection device 103 are in the same posture or are in a symmetrical posture with respect to the central axis of the human body of the user, that is, the server 105 pre-charges the air bags of at least two blood pressure detection devices with air of the same pressure, that is, the server 105 controls the blood pressure detection device 102 and the blood pressure detection device 103 so that the blood pressure detection device 102 pre-charges the air bags of the blood pressure detection device 102 with air of a third pressure, the blood pressure detection device 103 pre-charges the air bags of the blood pressure detection device 103 with air of a fourth pressure, and the third pressure is equal to the fourth pressure.
S232: and selecting an appropriate blood pressure detection device from at least two blood pressure detection devices according to the pressure detection result to detect the blood pressure of the user.
The server 105 performs blood pressure detection on the user by selecting an appropriate blood pressure detection device from at least two blood pressure detection devices based on the pressure detection result, that is, the server 105 performs blood pressure detection on the user by selecting an appropriate blood pressure detection device from the blood pressure detection devices 102 and 103 based on the pressure detection result.
Specifically, step S232 may include the steps of:
analyzing the external pressure condition of each air bag according to the pressure detection result; for example: the server 105 analyzes that the external pressure received by the air bladder of the blood pressure detecting device 102 is the first external pressure based on the first detection result, and the server 105 analyzes that the external pressure received by the air bladder of the blood pressure detecting device 103 is the second external pressure based on the second detection result.
And selecting the blood pressure detection device where the air bag receives relatively small external pressure to detect the blood pressure of the user. That is, the server 105 compares the first external pressure and the second external pressure, and when the server 105 determines that the first external pressure is smaller than the second external pressure, the server 105 selects the blood pressure detecting device 102 to detect the blood pressure of the user.
Since the configuration of the blood pressure detecting device 102 is the same as that of the blood pressure detecting device 103, the following embodiment will explain the blood pressure detection of the user by taking the blood pressure detecting device 102 as an example.
As shown in fig. 5, the blood pressure detection of the user includes the steps of:
s501: blood pressure detection data of a user is acquired.
The blood pressure detection device 102 acquires blood pressure detection data of the user, and the server 105 acquires the blood pressure detection data of the user from the blood pressure detection device 102 via the terminal 104.
S502: a blood pressure curve is generated from the blood pressure detection data.
The server 105 generates a blood pressure curve which changes with time according to the blood pressure detection data, namely, the server 105 establishes a coordinate system, takes time as an abscissa of the coordinate system and takes the blood pressure detection data as an ordinate of the coordinate system; the server 105 generates a time-dependent blood pressure curve on a coordinate system from the blood pressure detection data. Therefore, the server 105 can monitor the blood pressure detection data of the user in the sleeping process in real time, and can remind the user to change the sleeping posture when the blood pressure detection data is abnormal.
S503: sleep attitudes are marked on the blood pressure curve.
The server 105 marks the sleep posture of the user on the blood pressure curve; the server 105 can send the blood pressure curve marked with the sleeping posture to the terminal 104, and the user can intuitively acquire the influence of the sleeping posture on the blood pressure through the terminal 104, so that the use experience of the user is improved.
In other embodiments, the steps S501-S503 may be implemented on the terminal 104, that is, the terminal 104 may acquire the blood pressure detection data of the user, generate a blood pressure curve that varies with time according to the blood pressure detection data, and mark the sleep posture on the blood pressure curve, so as to send the marked blood pressure curve to the server 105.
S504: and carrying out statistical analysis on blood pressure detection data under different sleeping postures.
The server 105 performs statistical analysis on the blood pressure detection data in different sleep postures. Specifically, the server 105 counts at least one or a combination of the average blood pressure value, the blood pressure fluctuation value, and the frequency of blood pressure fluctuation in different sleep postures from the blood pressure detection data. For example: the server 105 may count the blood pressure detection data in the sleep posture of supine to obtain at least one or a combination of an average blood pressure value, a blood pressure fluctuation value, and a blood pressure fluctuation frequency in the sleep posture of supine; the server 105 may count the blood pressure detection data when the sleep posture is lateral lying, to obtain at least one or a combination of an average blood pressure value, a blood pressure fluctuation value, and a blood pressure fluctuation frequency when the sleep posture is lateral lying; the server 105 may count the blood pressure detection data when the sleep posture is prone, and obtain at least one or a combination of the average blood pressure value, the blood pressure fluctuation value, and the blood pressure fluctuation frequency when the sleep posture is prone.
S505: and recommending proper sleep postures to the user according to the statistical analysis result.
The server 105 recommends an appropriate sleep posture to the user according to the statistical analysis result, specifically, the server 105 recommends a sleep posture in which at least one or a combination of the average blood pressure value, the blood pressure fluctuation value, and the blood pressure fluctuation frequency is relatively low to the user. The server 105 may recommend a sleep posture with a relatively low blood pressure fluctuation value to the user, for example, if the blood pressure fluctuation value is minimum when the sleep posture is lateral, the server 105 recommends that the sleep posture is lateral to the user through the terminal 104.
The server 105 may preset a threshold range, and the server 105 further compares the blood pressure detection data with the threshold range; if the server 105 determines that the blood pressure detection data exceeds the threshold range, the server 105 sends a reminding message to the user through the terminal 104, that is, the terminal 104 displays the reminding message to remind the user that the blood pressure detection data is abnormal.
The server 105 in this embodiment performs statistical analysis on the blood pressure detection data under different sleep postures, and recommends an appropriate sleep posture to the user according to the result of the statistical analysis, so that the appropriate sleep posture can be recommended in real time according to the blood pressure detection data, and the user experience is improved.
As shown in fig. 6, the blood pressure detection of the user further includes the steps of:
s601: and synchronously acquiring action detection data of the user.
When the blood pressure detection device 102 acquires the blood pressure detection data of the user, the blood pressure detection device 102 synchronously detects the motion detection data of the user, and transmits the motion detection data to the server 105 through the terminal 104, so that the server 105 synchronously acquires the motion detection data of the user.
S602: and analyzing the sleep quality of the user according to the motion detection data.
The server 105 analyzes the sleep quality of the user according to the motion detection data, that is, the server 105 can analyze the motion amplitude and the motion frequency of the user according to the motion detection data; and determining the sleep quality of the user according to the action amplitude and the action frequency of the user, wherein the sleep quality is worse as the action amplitude and the action frequency are larger.
For example, the blood pressure detecting device 102 may establish a connection with the terminal 104 through bluetooth, the blood pressure detecting device 102 uses the terminal 104 as a reference object, when the blood pressure detecting device 102 moves, the blood pressure detecting device 102 obtains the distance between the blood pressure detecting device 102 and the terminal 104 through bluetooth protocol, and records the moving time, and at this time, the motion detection data includes the distance and the moving time; the server 105 can analyze the motion amplitude of the user according to the change of the distance, and can analyze the motion frequency according to the moving time. The server 105 may divide the sleep quality into a good, a neutral, and a bad, and compare the motion amplitude and the motion frequency with a preset motion amplitude threshold and motion frequency threshold to determine the sleep quality of the user.
S603: sleep quality is marked on the blood pressure curve.
When the server 105 marks the sleep posture of the user on the blood pressure curve, the server 105 further marks the sleep quality on the blood pressure curve, for example, the server 105 marks the corresponding sleep quality on the blood pressure curve according to time.
The server 105 of the present embodiment analyzes the motion amplitude and the motion frequency of the user based on the motion detection data; and the sleep quality of the user is determined according to the action amplitude and the action frequency of the user, so that the accuracy of the analysis result can be improved.
In an embodiment, the server 105 may obtain blood pressure detection data of a plurality of users, and generate a labeled blood pressure curve for each user, where the labeled blood pressure curve is shared among the plurality of users, and the labeled blood pressure curve is the blood pressure curve disclosed in the above embodiment. When the user sets the shared blood pressure curve through the terminal 104, the server 105 sends the marked blood pressure curve to the terminals 104 of other users, so as to share the marked blood pressure curve among multiple users.
How the server 105 acquires health information of the human body is described in detail below.
Because the health information of the human body often needs abundant experience data and reasoning rules to obtain, and the server 105 can acquire abundant blood pressure detection data and has stronger data processing capability, the embodiment can analyze the blood pressure detection data through the server 105 so as to acquire the health information of the human body, and can improve the accuracy of blood pressure detection and data processing. 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 disease risk 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 the human body, and the like. The server 105 may also pre-store other physiological data and mapping relationships between other physiological data and blood pressure detection data. The server 105 may analyze the blood pressure detection data forwarded by the terminal 104 according to pre-stored blood pressure detection data to obtain health information of the human body. For example, the server 105 may compare the blood pressure detection data of the human body a forwarded by the terminal 104 with a normal blood pressure detection data range, or compare the blood pressure detection data of the human body a forwarded by the terminal 104 with the previous blood pressure detection data of the human body a, or compare the blood pressure detection data of the human body a forwarded by the terminal 104 with the blood pressure detection data of the human body B, so as to obtain health information of the human body a according to the comparison result.
The blood pressure detection data may include pulse waves, which are periodic pressure waves generated by the pulsation of the heart pushing blood along a blood vessel. The pulse wave of human body contains abundant physiological information such as blood pressure, heart rate and cardiovascular information. Cardiovascular health information can be obtained through analysis of pulse waveforms to reduce occurrence of cardiovascular diseases.
Alternatively, 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 reject 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 so, the server 105 determines that the pulse wave with the amplitude within the preset range is 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 characteristic point of the first pulse wave, where the characteristic point may include a reflected wave point, a peak point, a trough point, or other extreme point or inflection point, etc. of the first pulse wave.
Of course, in another embodiment, the server may also acquire the period of the pulse wave, and filter the pulse wave whose period is not within the preset period, so as to acquire the first pulse wave, that is, take the period as the filtering condition. Of course, in other embodiments, the amplitude and period of the pulse wave may also be used as filtering conditions.
Different human bodies or the same human body in different health states generate different pulse waves, namely different pulse conditions. The common pulse conditions in TCM include slippery pulse, rapid pulse, wiry pulse, flat pulse, floating pulse, deep pulse, delayed pulse, rapid pulse, and deficient pulse, and the waveforms of the pulse conditions are different from each other as shown in FIG. 7.
Different pulse conditions characterize different health conditions of the human body, and in order to improve accuracy of the health information, the server 105 of this embodiment further identifies the pulse condition (waveform) of the first pulse wave.
Specifically, the server 105 of the present embodiment stores a preset waveform including at least a slippery pulse waveform, a pulse-promoting waveform, a wiry pulse waveform, a flat pulse waveform, or the like. After filtering the plurality of pulse waves forwarded by the terminal 104, the server 105 matches the first pulse wave with a preset waveform; 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 pulse wave, it determines that the first pulse wave is a pulse; the server 105 may further transmit the first pulse wave or the first predetermined waveform and the health information "pulse" back to the terminal 104.
Alternatively, the server 105 obtains the first characteristic information of the first pulse wave and the second characteristic information of the preset waveform, respectively, and if the difference between the first characteristic information and the second characteristic information is smaller than the 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 information of a waveform period and a waveform standing point (including an extreme point and an inflection point) of the first pulse wave. The waveform standing point information comprises the number of waveform standing points, the time interval between adjacent waveform standing points and the like.
As shown in fig. 7, the pulse-promoting waveform period is greatly different from the waveform periods of other pulse conditions, and if the server 105 determines that the difference between the waveform period of the first pulse wave and the waveform period of the preset pulse-promoting waveform is smaller than the preset difference, the first pulse wave can be determined as 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 sliding pulse is 2), and determines whether the amplitude of the second waveform standing point is greater and lower than the first waveform standing point; if so, the third pulse wave can be judged as a slippery pulse. If the server 105 determines that the number of waveform extreme points of the third pulse wave is equal to 3, it may further determine whether the interval time between the first waveform standing point and the second waveform standing point of the third pulse wave is smaller than the preset time (the time interval between the first waveform standing point and the second waveform standing point of the preset chord pulse); if so, the first pulse wave can be judged as chordal pulse.
The present embodiment can identify the pulse condition (waveform) of the pulse wave through the waveform period and the waveform standing point information of the pulse wave. Of course, in other embodiments, the pulse condition (waveform) of the pulse wave may also be identified according to other characteristic information of the pulse wave. Of course, the server 105 may filter the obtained waveform standing points before performing pulse condition recognition to reduce noise interference.
Pulse diagnosis is one of four diagnostic methods in TCM, and is a unique diagnostic method. The pulse diagnosis device mainly analyzes the characteristics of 'position, number, shape, potential' and the like of pulse by using finger feeling so as to judge the functional state of viscera, thereby realizing the purpose of noninvasive diagnosis and having positive significance for diagnosis and treatment of diseases.
The existing pulse condition instrument can perform the pulse feeling process, patterns and displays pulse waves, so that a user intuitively knows pulse conditions through the pulse waves, but acquires health information from the pulse conditions, and abundant clinical experience is required, so that non-medical staff or non-professional medical staff can hardly accurately acquire the health information from pulse condition waveforms.
To solve the above-described problems, the server 105 of the present embodiment further analyzes the first pulse wave to acquire more specific human health information from the first pulse wave, and the health information of the present embodiment includes information such as blood pressure, pulse force, pulse rate, pulse rhythm, and reflected wave enhancement index (AI) reflecting elasticity of an artery, in addition to pulse condition information.
Specifically, the server 105 obtains several pulse waves, such as 3 pulse waves, with the maximum pulse wave amplitude in the whole measurement process, and obtains the pulse force of the human body by taking the average value according to the amplitude of the peak point. The larger the amplitude of the mean value is, the larger the pulse force is, and the magnitude of the pulse force represents the strength of the physique of the human body; the server 105 may also obtain pulse rate, pulse law, AI value, etc. from the first pulse wave.
The server 105 transmits the obtained health information back to the terminal 104, and the terminal 104 displays the health information, as shown in fig. 8 and 9.
Further, the server 105 stores a preset range, and determines whether the health information is within the preset range; if yes, the health information display state on the control terminal 104 is 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, the blood pressure data, etc.
Optionally, the server 105 of the present embodiment further obtains health information of blood vessel elasticity 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. 8), the obtained health information is that the blood vessel elasticity 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. 9), the acquired health information is poor in blood vessel elasticity.
The server 105 can also obtain health information such as bradycardia or tachycardia, arrhythmia and the like according to the heart rate data; the server 105 may also obtain arterial health information based on the AI value. The terminal 104 may also display such health information.
In contrast to the prior art, in this embodiment, the server 105 analyzes the blood pressure detection data to obtain health information of the human body, so that accuracy of blood pressure detection and data processing can be improved; moreover, the terminal 104 of the present embodiment can display detailed health information, not just pulse wave, so that non-medical staff can also clearly know their health status through the health information.
The present application further proposes a blood pressure detecting device, as shown in fig. 10, 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 an attitude 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 posture sensor 13 may be provided on the cuff 12 and connected to the host computer 11.
Specifically, the terminal 104 is configured to provide a first voltage to the blood pressure detection device 102, i.e., the terminal 104 supplies power to the host 11 of the blood pressure detection device 102 via the interface 110. The interface 110 may be a USB interface, and the interface 110 may be connected to the terminal 104 through a data line 21. The data line 21 may be an OTG data line. When the terminal 104 is connected to the blood pressure detecting device 102 via the data line 21, the terminal 104 serves as a master, and the blood pressure detecting device 102 serves as a slave.
The cuff 12 may be worn on an arm of a human body to contact with an artery of the human body, and the host computer 11 detects blood pressure detection data of the artery of the human body through the cuff 12. The host 11 detects blood pressure detection data of human arteries through the cuff 12, and detects posture detection data of a user in a sleeping process through the posture sensor 13; the host 11 transmits the blood pressure detection data and the posture detection data to the terminal 104 through the interface 110.
The blood pressure detection device 102 can perform 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.
Alternatively, the cuff 12 of the present embodiment may include a gas channel 121 and a bladder 122, with the gas channel 121 and bladder 122 being gas-path interfaced.
Alternatively, the host 11 of the present embodiment may include a controller 111, a pressure sensor 112, an air pump 113, an air release valve 114, an air pump driving circuit 115, an air release 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 used for controlling the air pump 113 to inflate the air bag 122, controlling the air release valve 114 to deflate the air bag 122, and controlling the pressure sensor 112 to detect the pressure of the gas in the gas channel 121. The controller 111 is also coupled to the gesture sensor 13 for controlling the gesture sensor 13 to detect gesture detection data of the user during sleep.
The gas passage 121 may extend to the main body 11, and the gas 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, i.e., the controller 111 drives the air pump 113 through the air pump driving circuit 115 to inflate the air bag 122. The air release valve driving circuit 116 is connected between the air release valve 114 and the controller 111, and is used for driving the air release valve 114, that is, the controller 111 drives the air release valve 114 through the air release valve driving circuit 116 so as to release the air of the air bag 122.
Wherein, host computer 11 is provided with the cuff interface, and the gas channel 121 of cuff 12 is connected with the cuff interface detachably, and gas channel 121 is connected with pressure sensor 112, air pump 113 and air release valve 114 respectively 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 channel 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 the analog information into digital information and transmits the digital information to the controller 111.
The interface 110 may include a power supply terminal 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. An input terminal of the converter 118 is connected to the power supply terminal, and is configured to convert the first voltage V1 into the 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, and is used 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 end, through which the terminal 104 sends a detection command to the controller 111, and the blood pressure detection device 102 detects blood pressure detection data according to the detection command. The specific detection method is shown in the embodiment of the method.
In other embodiments, the bladder 122 may include a reserved 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 the pressure detection result; if so, the blood pressure detection device 102 performs blood pressure detection. By the mode, automatic starting of blood pressure detection can be achieved, and experience effect of a user is improved.
In other embodiments, the controller 111 further obtains the pressure detection result and the pressure variation amplitude of 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 detection device 102, the blood pressure detection device 102 adopts closed-loop control to adjust the inflation speed of the air, specifically, the controller 111 controls the air pump 113 to inflate the air bag 122, the controller 111 collects the pressure of the air through the pressure sensor 112 to be a first pressure, and the pressure collected by the controller 111 through the pressure sensor 112 last time is a second pressure; the controller derives the static pressure of the cuff 12 from the first pressure and the second pressure.
The controller 111 further obtains the pressurization rate of the gas in the airbag 122 from the static pressure, and compares the pressurization rate with a constant rate; when the controller 111 determines that the pressurizing rate is smaller 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 pressurizing rate is the constant rate. Therefore, the controller 111 controls the air pump 113 to inflate the air bag 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 controller 111 to obtain the pulse wave.
It should be noted that, the foregoing embodiments all belong to the same inventive concept, and the descriptions of the embodiments have emphasis, and where the descriptions of the individual embodiments are not exhaustive, reference may be made to the descriptions of the other embodiments.
The principles and embodiments of the present application are described herein with specific examples, the above examples being provided only to assist in understanding the methods of the present application and their core ideas; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (8)
1. The blood pressure detection system is characterized by comprising at least two blood pressure detection devices, a terminal and a server, wherein the terminal is in communication connection with the blood pressure detection devices and the server, and the blood pressure detection devices are used for acquiring gesture detection data of a user in a sleeping process;
the server is used for acquiring gesture detection data of a user in a sleeping process from the blood pressure detection device through the terminal, and comprises the step of acquiring the gesture detection data by utilizing a gesture sensor integrated in the blood pressure detection device;
the server is used for analyzing the sleeping gesture of the user at the current moment according to the gesture detection data;
the server is configured to select an appropriate blood pressure detection device from at least two blood pressure detection devices respectively worn at different parts of the user according to the sleep posture at the current time, and perform blood pressure detection on the user, and includes: the server is used for respectively detecting the pressure of the reserved gas in the air bags of the at least two blood pressure detection devices worn at different parts of the user; the server is used for analyzing the external pressure condition of each air bag according to the pressure detection result; the server is used for selecting a blood pressure detection device where the air bag with relatively smaller external pressure is located to detect the blood pressure of the user and acquiring blood pressure detection data of the user;
the server is used for generating a blood pressure curve changing with time according to the blood pressure detection data;
the server is used for marking the sleep posture on the blood pressure curve;
the server is used for carrying out statistical analysis on the blood pressure detection data under different sleeping postures;
the server is used for recommending proper sleep postures to the user according to the statistical analysis result.
2. The blood pressure detection system according to claim 1, wherein the step of the server for selecting an appropriate blood pressure detection device from at least two blood pressure detection devices respectively worn at different locations of the user according to the sleep posture of the current time to perform blood pressure detection on the user includes:
the server is used for determining the external pressure conditions of different parts of the user according to the sleeping posture at the current moment;
the server is used for selecting the blood pressure detection device on a part with relatively small external pressure to detect the blood pressure of the user.
3. The blood pressure detection system of claim 2, wherein the step of the server for statistically analyzing the blood pressure detection data at different ones of the sleep postures comprises:
the server is used for counting at least one or a combination of average blood pressure value, blood pressure fluctuation value and blood pressure fluctuation frequency under different sleeping postures according to the blood pressure detection data;
the step of recommending proper sleep postures to the user according to the statistical analysis result by the server comprises the following steps:
the server is used for recommending the sleep posture with at least one or a combination of relatively low average blood pressure value, blood pressure fluctuation value and blood pressure fluctuation frequency to the user.
4. The blood pressure detection system according to claim 2, wherein the step of the server for acquiring blood pressure detection data of the user from the blood pressure detection device through the terminal includes:
the server is used for synchronously acquiring the action detection data of the user;
the step of the server for generating a time-dependent blood pressure curve from the blood pressure detection data further comprises:
the server is used for analyzing the sleep quality of the user according to the action detection data;
the step of the server for marking the sleep posture on the blood pressure curve further comprises:
the sleep quality is marked on the blood pressure curve.
5. The blood pressure detection system of claim 4, wherein the step of analyzing the sleep quality of the user based on the motion detection data comprises:
the server is used for analyzing the action amplitude and the action frequency of the user according to the action detection data;
the server is used for determining the sleep quality of the user according to the action amplitude and the action frequency of the user, wherein the greater the action amplitude and the action frequency, the worse the sleep quality.
6. The blood pressure detection system according to claim 2, wherein the step of the server for acquiring blood pressure detection data of the user from the blood pressure detection device through the terminal includes:
the server is used for acquiring the blood pressure detection data of a plurality of users to generate marked blood pressure curves for each user in a subsequent step;
the blood pressure monitoring system further comprises:
the server is configured to share the marked blood pressure curve among the plurality of users.
7. The blood pressure detection system according to claim 1, wherein before the step of the server for pressure detecting the gas pre-filled in the air bags of the at least two blood pressure detection devices worn at different locations of the user, respectively, further comprises:
the server is used for acquiring the gesture detection data of the at least two blood pressure detection devices;
the server is used for pre-filling the air bags of the at least two blood pressure detection devices with air of the same pressure respectively when the at least two blood pressure detection devices are in the same posture or are in symmetrical postures relative to the central axis of the human body of the user.
8. The blood pressure detection system of claim 1, wherein the blood pressure detection device comprises a host, a cuff, and a posture sensor, the host being provided with an interface connected to the terminal, the terminal providing a first voltage to the blood pressure detection device; when the blood pressure detection device detects blood pressure, the cuff is in contact with the artery of the human body, the host detects blood pressure detection data of a user through the cuff, and detects posture detection data of the user in a sleeping process through the posture sensor.
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| CN201911072628.1A CN112826472B (en) | 2019-11-05 | 2019-11-05 | Blood pressure detection system and blood pressure detection device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2853235B2 (en) * | 1990-02-07 | 1999-02-03 | オムロン株式会社 | Blood pressure measurement device |
| JP2004195070A (en) * | 2002-12-20 | 2004-07-15 | Colin Medical Technology Corp | Automatic sphygmomanometer |
| US20120167895A1 (en) * | 2011-01-03 | 2012-07-05 | Sanjiv Tewari | Therapeutic sleep device for discouraging sleeping in a supine position |
| CN204147015U (en) * | 2014-03-28 | 2015-02-11 | 深圳市大富网络技术有限公司 | A kind of pressure sensor assembly and pressure-detecting device |
| CN204033326U (en) * | 2014-04-23 | 2014-12-24 | 深圳星脉医疗仪器有限公司 | With the sphygomanometer of position information data collection and analysis |
| CN105457140A (en) * | 2014-08-22 | 2016-04-06 | 深圳富泰宏精密工业有限公司 | Electronic device |
| WO2018144893A2 (en) * | 2017-02-03 | 2018-08-09 | Heuristics Health, Llc | Wireless digital blood pressure device and system |
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