KR101876194B1 - System, method and program for calculating blood pressure by plural wearable devices - Google Patents

System, method and program for calculating blood pressure by plural wearable devices Download PDF

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KR101876194B1
KR101876194B1 KR1020150176554A KR20150176554A KR101876194B1 KR 101876194 B1 KR101876194 B1 KR 101876194B1 KR 1020150176554 A KR1020150176554 A KR 1020150176554A KR 20150176554 A KR20150176554 A KR 20150176554A KR 101876194 B1 KR101876194 B1 KR 101876194B1
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wearable device
data
blood pressure
wearable
calculating
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KR1020150176554A
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Korean (ko)
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KR20170069411A (en
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김다운
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한국과학기술원
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, 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
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02405Determining heart rate variability
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1076Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions inside body cavities, e.g. using catheters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface

Abstract

The present invention relates to a blood pressure calculation system using a plurality of wearable devices, a calculation method, and a calculation program.
The blood pressure calculation method using a plurality of wearable devices according to an embodiment of the present invention includes: acquiring heart rate data (S100); A step (S200) of calculating time difference data between the first wearable device and the measurement point worn by the second wearable device through the first heartbeat data and the second heartbeat data; And calculating blood pressure data based on the time difference data (S300).
INDUSTRIAL APPLICABILITY According to the present invention, blood pressure can be calculated for a plurality of wearable devices worn without separately performing an action for measuring blood pressure, so that the blood pressure can be easily used.

Description

TECHNICAL FIELD [0001] The present invention relates to a blood pressure calculation system using a plurality of wearable devices, a calculation method,

The present invention relates to a blood pressure calculation system using a plurality of wearable devices, a calculation method and a calculation program thereof, and more particularly to a blood pressure calculation system using a plurality of wearable devices, The present invention relates to a system, a method, and a program.

Many ubiquitous healthcare-related medical devices that can check their blood sugar and blood pressure anytime and anywhere without having to go to a hospital are widely available, and patients with blood sugar or hypertension use them in their home or office.

Hypertension is a major cause of cardiovascular disease and is also a major cause of stroke. Hypertension is costing the world $ 300 billion a year in medical costs. It is reported that 25% of adults around the world as well as Korea are hypertensive, and 1 in 3 Americans are hypertensive.

In Korea, 30% of adults over 30 years belong to the high - risk group, and the prevalence of hypertension increases with age. The prevalence of hypertension is about 50% in adults over 60 years of age. In order to signal the danger of hypertension within a short period of time, we need a system that continuously measures blood pressure and reports it in real time.

Various types of studies have been attempted to reduce the mortality due to hypertension. One of them is to measure the blood pressure in real time by inserting the blood pressure measurement sensor into the pulmonary artery of the patients with chronic heart disease and then transmit it to the primary care physician using the wireless communication to monitor the patient's pulmonary artery blood pressure change pattern (U_Health; ubiquitous healthcare), which delivers prescriptions to patients, has been proposed to dramatically reduce the number of times patients are required to enter the hospital.

In clinical practice, a method of measuring blood pressure by inserting a catheter into an arterial blood vessel is one of the methods of measuring invasive blood pressure. However, this method can measure blood pressure continuously and accurately, but it is performed only when it is absolutely necessary due to the difficulty of operation, the risk of arterial injury, and infection. Therefore, a system for real-time measurement of blood pressure in a non-invasive manner without inserting a sensor for blood pressure measurement into arterial blood vessels has been continuously studied.

In addition, many wearable devices have appeared in recent years, and many biometric data are acquired by wearable devices. Therefore, it is necessary to introduce a method that can easily measure the blood pressure non-invasively using the wearable device and measure it frequently.

A calculating method, and a calculating program using a plurality of wearable devices that easily calculate an accurate blood pressure using a pulse wave transmission time or a pulse wave transmission rate calculated through heartbeat data measured by a plurality of wearable devices and provide the same to a user, .

A blood pressure calculating method using a plurality of wearable devices according to an embodiment of the present invention includes: obtaining a first heartbeat data by a first wearable device; Receiving second heartbeat data obtained from a second wearable device; Calculating time difference data between a measurement point at which the first wearable device and the second wearable device are worn through the first heartbeat data and the second heartbeat data; And calculating blood pressure data based on the time difference data.

The time difference data calculation step may include: the first wearable device receiving a radio signal from the second wearable device; Calculating a separation distance from the second wearable device; And calculating a blood vessel distance based on the separation distance.

The method may further include recognizing a measurement point wearing the first wearable device or the second wearable device through a movement pattern analysis of the first wearable device or the second wearable device.

When the user wears n wearable devices (n is a natural number greater than 2), the second wearable device receives the measured heartbeat data from the second wearable device to the nth wearable device Wherein the time difference data calculating step calculates a plurality of time difference data by combining two of the n wearable devices, wherein the blood pressure data calculating step calculates a plurality of time difference data based on each time difference data, Calculating individual blood pressure data; And applying final weights to each individual blood pressure data to calculate final blood pressure data.

In addition, the weight can be determined based on the dynamic noise magnitude generated at each measurement point.

According to another aspect of the present invention, there is provided a blood pressure calculation method using a plurality of wearable devices, comprising: receiving, by an external terminal, first heartbeat data and second heartbeat data obtained from a first wearable device and a second wearable device; Calculating time difference data between a measurement point at which the first wearable device and the second wearable device are worn through the first heartbeat data and the second heartbeat data; And calculating blood pressure data based on the time difference data.

In addition, each wearable device stores identification information corresponding to a measurement point to be attached, and transmits the identification information when transmitting the measured heartbeat data.

The time difference data calculation step may include: determining whether the first wearable device and the second wearable device are located on the same blood flow path, based on the first identification information and the second identification information; Calculating a blood vessel distance from the heart corresponding to the first identification information and the second identification information when it is determined that the first wearable device and the second wearable device are not located on the same blood flow path .

The blood vessel distance calculating step may calculate the blood vessel distance to the first identification information or the second identification information by applying the user's body information data to the blood vessel distance reference data, May include blood vessel distances from the heart to each measurement point by physical condition.

The method may further include the step of calculating a body part worn on the basis of the positional relationship with the other wearable device when a specific wearable device can be worn on a plurality of body parts.

In addition, when the user wears n wearable devices (n is a natural number greater than 2), the heartbeat data receiving step is characterized in that the external terminal receives the measured heartbeat data from the first wearable device to the nth wearable device Wherein the time difference data calculating step calculates a plurality of time difference data by combining two of the n wearable devices, wherein the blood pressure data calculating step calculates a plurality of individual blood pressure data based on each time difference data, Calculating; And applying final weights to each individual blood pressure data to calculate final blood pressure data.

In addition, the weight can be determined based on the dynamic noise magnitude generated at each measurement point.

A blood pressure calculation program using a plurality of wearable devices according to another embodiment of the present invention executes a blood pressure calculation method using the above-mentioned plurality of wearable devices in combination with hardware, and is stored in a medium.

According to the present invention as described above, the following various effects are obtained.

First, accurate blood pressure data can be calculated as compared with the existing blood pressure measurement method. Particularly, as more heartbeat data is acquired through a plurality of wearable devices, accurate blood pressure data can be calculated.

Second, the blood pressure can be calculated for a plurality of wearable devices worn without separately performing an action for measuring blood pressure, so that the blood pressure can be easily used. Particularly, patients who need to check blood pressure from time to time can be useful.

Third, blood pressure data can be calculated through interlocking between a plurality of wearable devices capable of measuring heartbeat data, without needing a separate device for measuring blood pressure. Therefore, the user may not purchase a separate device for blood pressure measurement.

1 is a connection diagram of a blood pressure calculation system for calculating a blood pressure by a first wearable device according to an embodiment of the present invention.
Fig. 2 is a view showing an example of wearing a plurality of wearable devices in a case where a blood pressure is calculated by a first wearable device according to an embodiment of the present invention. Fig.
3 is a connection diagram of a blood pressure calculation system for calculating a blood pressure by an external terminal according to an embodiment of the present invention.
FIG. 4 is a view showing an example of wearing a body of a plurality of wearable devices in a case where a blood pressure is calculated by an external terminal according to an embodiment of the present invention. FIG.
5 is a flowchart of a blood pressure calculation method using a plurality of wearable devices according to an embodiment of the present invention.
6 is a flowchart of a blood pressure calculating method using a plurality of wearable devices in the case of calculating a blood pressure by a first wearable device according to an embodiment of the present invention.
7 is a flowchart of a blood pressure calculating method using a plurality of wearable devices in the case of calculating a blood pressure by an external terminal according to an embodiment of the present invention.
FIG. 8 is a flowchart illustrating a process of calculating a blood vessel distance through a distance between wearable devices according to an embodiment of the present invention. Referring to FIG.
9 is a flowchart illustrating a process of calculating a vein distance using identification information of each wearable device according to an embodiment of the present invention.
10 is a flowchart illustrating a process of calculating blood pressure data when three or more wearable devices are used according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

An external terminal in this specification includes all the various devices that can perform computational processing to provide results to a user. For example, the external terminal may be a smart phone, a tablet PC, a cellular phone, a personal communication service phone (PCS phone), a synchronous / A mobile terminal of an asynchronous IMT-2000 (International Mobile Telecommunication-2000), a Palm Personal Computer (PC), and a personal digital assistant (PDA).

In this specification, a wearable device refers to various devices that can be worn by a user. Wearable devices can be worn wearable wearable devices (e.g., smart bands, smart watches and the like), glass wearable devices (e.g., smart glasses and the like), ornaments (e.g., rings, Device, a helmet type wearable device, and the like. In addition, the wearable device includes a device that can be worn on various body parts, not a wearable device worn on a specific body part, and may include a patch-type device that can be attached to the body.

Herein, the heartbeat data refers to pulse wave data according to an electrocardiogram or a heartbeat measured at a specific body point (i.e., a body part where the wearable device is worn). The heartbeat data may mean a time point at which the electrocardiogram or pulse wave according to the heartbeat reaches a maximum value (for example, a time point when the electrocardiogram or the pulse wave reaches a maximum value at a specific body point wearing the wearable device). In the present specification, the n-th heartbeat data (n is a natural number) means heartbeat data measured by the nth wearable device. For example, the first heartbeat data may be heartbeat data measured by the first wearable device.

In the present specification, the identification information means information used to determine a wearing position of the wearable device. The identification information may include type information of the wearable device (e.g., a wrist shape, a ring shape, an earring shape, and the like). In addition, the identification information may include information stored in the wearable device as being determined as a body part wearing the wearable device. For example, when the wearable device can be worn on a plurality of body parts, the identification information may include information about a position designated as a wear part by the user (for example, a plurality of body parts presented on the screen of the wearable device Information indicating the position input to the part worn by the user).

Hereinafter, a blood pressure calculation system using a plurality of wearable devices, a calculation method, and a calculation program according to embodiments of the present invention will be described with reference to the drawings.

1 is a connection diagram of a blood pressure calculation system for calculating a blood pressure by a first wearable device 110 according to an embodiment of the present invention. FIG. 2 is a view showing an example of wearing a plurality of wearable devices when a blood pressure is calculated by the first wearable device 110 according to an embodiment of the present invention.

Referring to FIG. 1, a blood pressure calculation system using a plurality of wearable devices 100 according to an embodiment of the present invention includes a plurality of wearable devices 100. That is, the blood pressure calculation system may include a first wearable device 110 and a second wearable device 120 (when the wearable device 100 includes three or more wearable devices 100, the nth wearable device n is 2 Lt; RTI ID = 0.0 > 100 < / RTI >

The first wearable device 110 receives heartbeat data necessary for blood pressure calculation from the m wearable device (m is a natural number equal to or greater than 2). In addition, the first wearable device 110 performs a function of measuring heartbeat data of a worn point. Further, the first wearable device 110 may calculate one or more time difference data using the plurality of heartbeat data directly measured and received. Further, the first wearable device 110 can calculate blood pressure data using the calculated time difference data.

The m wearable device (m is a natural number equal to or greater than 2) measures heart rate data of each worn point and transmits the measured heart rate data to the first wearable device 110 via wireless communication.

The first wearable device 110 can be selected from among the plurality of wearable devices 100 according to the setting of the user. In addition, among the plurality of wearable devices 100 worn by the user, the device with the highest computation speed may be automatically selected as the first wearable device 110, or when the wearable device 100 includes only the specific wearable device 100, The device 100 may be automatically selected as the first wearable device 110.

As shown in FIG. 2, a first wearable device (e.g., a wrist wearable device), a second wearable device (e.g., earring wearable device) and a third wearable device The second wearable device and the third wearable device measure heartbeat data, and the heartbeat data can be transmitted to the first wearable device. The first wearable device can calculate the plurality of time difference data using the three heartbeat data and calculate the blood pressure data through each time difference data. Specifically, the first wearable device calculates three time difference data through three pairs of wearable device combinations, and can calculate three pieces of blood pressure data according to three time difference data. The first wearable device (i.e., a wrist wearable wearable device) outputs the calculated blood pressure data through the display unit or the sound output unit and provides the result to the user.

3 is a connection diagram of a blood pressure calculation system for calculating a blood pressure by the external terminal 200 according to an embodiment of the present invention. FIG. 4 is a view showing an example of wearing a body of a plurality of wearable devices in a case where a blood pressure is calculated by an external terminal according to an embodiment of the present invention. FIG.

A blood pressure calculation system using a plurality of wearable devices (100) according to another embodiment of the present invention includes an external terminal (200); And a plurality of wearable devices (100).

The external terminal 200 may include a mobile terminal that is portable by a user and is capable of communicating with a plurality of wearable devices 100. In addition, when the user lives indoors, the external terminal 200 may correspond to a specific device installed in the room (for example, a smart TV, etc.).

The external terminal 200 receives the heartbeat data required for blood pressure calculation from the plurality of wearable devices 100. Also, the external terminal 200 can calculate one or more time difference data using a plurality of received heartbeat data. Also, the external terminal 200 can calculate the blood pressure data using the calculated time difference data.

The plurality of wearable devices 100 measures heart rate data of each worn point and transmits the measured heart rate data to the external terminal 200 through wireless communication.

As shown in FIG. 4, the first wearable device 110 (e.g., a wrist wearable device), the second wearable device 120 (e.g., earring wearable device) and the third wearable device 130 (E.g., a patch type wearable device) measures heartbeat data, and the first wearable device 110 to the third wearable device 130 can transmit heartbeat data to the external terminal 200. [ The external terminal 200 can calculate the plurality of time difference data using the three heartbeat data and calculate the blood pressure data through the respective time difference data. Specifically, the external terminal 200 can calculate three time difference data through a combination of three pairs of wearable devices 100, and calculate three blood pressure data according to three time difference data. The external terminal 200 (for example, a smart phone) can output the calculated blood pressure data through a display unit or an audio output unit and provide it to a user.

5 is a flowchart of a blood pressure calculation method using a plurality of wearable devices 100 according to an embodiment of the present invention.

Referring to FIG. 5, a blood pressure calculation method using a plurality of wearable devices 100 according to an embodiment of the present invention includes: acquiring heart rate data (S100); Calculating (S200) time difference data between measurement points of the first wearable device (110) and the second wearable device (120) through the first heartbeat data and the second heartbeat data; And calculating blood pressure data based on the time difference data (S300). A blood pressure calculating method using a plurality of wearable devices 100 according to an embodiment of the present invention will be described in order.

The first wearable device 110 or the external terminal 200 acquires or receives the heartbeat data (S100). The wearable device 100 may measure heart rate data through various methods. In one embodiment, the wearable device 100 may employ a photoplethysmography (PPG) scheme. That is, the wearable device 100 may use a method of measuring blood flow using light. Further, in another embodiment, the wearable device 100 may use a method of measuring an electrocardiogram through an ECG (Electrocardiogram) method. That is, the wearable device 100 can acquire heartbeat data by amplifying and recording electrical activity of the heart. In yet another embodiment, the wearable device 100 may measure heart rate data using a hall sensor. However, the method of measuring the heartbeat data is not limited to this, and various methods of measuring by the various sensor modules included in the wearable device 100 may be applied.

In addition, each wearable device 100 can measure heart rate data in a different measurement manner. The wearable device 100 can transmit the heartbeat data value calculated by each measurement method and transmit the measured signal itself to the first wearable device 110 or the external terminal 200 to transmit the measured wear- Alternatively, the external terminal 200 may calculate the numerical value of the heart rate data.

The heartbeat data measured by the plurality of wearable devices 100 can be received by both the first wearable device 110 and the external terminal 200. [ 6, when the first wearable device 110 calculates blood pressure data, the first wearable device 110 acquires the first heartbeat data (step S100) (S110); And receiving the second heartbeat data obtained from the second wearable device 120 (S111). That is, as the first wearable device 110 performs the role of calculating the blood pressure data, the first wearable device 110 calculates heartbeat data of the measurement point worn according to the specific measurement method, and the wearable device 100 ) Or signal data for heart rate data calculation via wireless communication.

7, the heartbeat data acquiring step S100 may include acquiring the first heartbeat data acquired from the first wearable device 110 and the second wearable device 120 by the external terminal 200, And receiving the second heartbeat data (S120). That is, the external terminal 200 can receive the measured heartbeat data from the wearable device 100 by being connected to the plurality of wearable devices 100 by a specific wireless communication method.

The wireless communication method between the plurality of wearable devices 100 or between the external terminal 200 and the wearable device 100 may use a non-contact type short range communication method. For example, Bluetooth communication such as BLE, Zigbee communication, or the like may be used to enable mutual communication even when the devices are worn at different positions and spaced apart.

The first wearable device 110 or the external terminal 200 is connected between the first wearable device 110 and the measurement point worn by the second wearable device 120 via the first heartbeat data and the second heartbeat data, Time difference data is calculated (S200). The first wearable device 110 or the external terminal 200 can calculate the time difference data by pairing the heartbeat data measured by the two wearable devices 100. [ In the case of using the ECG and the PPG, the first wearable device 110 or the external terminal 200 may calculate the time between two points by measuring the peak of the ECG and PPG. Even when two PPG and PPG signals are used, the first wearable device 110 or the external terminal 200 can measure the respective peaks and calculate the time difference data by measuring the time between two point intervals.

As described later, when three or more heartbeat data are acquired by three or more wearable devices 100, the first wearable device 110 or the external terminal 200 paired the two heartbeat data into a plurality of time differences Data can be calculated. That is, when n heartbeat data are acquired through the n wearable devices 100, the first wearable device 110 or the external terminal 200 can calculate n C 2 time difference data. First and one wearable device 110 or an external terminal 200 may use only two of the time difference data calculated by using the heart rate data measured in the wearable device 100 is determined to be high accuracy, n C Two time difference data The final time difference data can be calculated by an average calculation that reflects the average or weight of the time difference data.

The time difference data calculation step S200 calculates the time difference data S200 by calculating the blood pressure data by calculating the blood vessel distance from the heart (i.e., the left ventricle) by the external terminal 200 or the first wearable device 110, The distance between the wearable device 100 and the wearable device 100 may be calculated.

In a case where the first wearable device 110 calculates blood pressure data, a straight line distance between the first wearable device 110 and the second wearable device 120 is used to calculate the blood vessel distance A method of calculating the blood vessel distance can be used. That is, the blood vessel distance corresponding to the straight line distance between the two wearable devices 100 can be calculated.

To this end, as shown in FIG. 8, the time difference data calculation step (S200) includes: calculating (S210) a separation distance from the second wearable device 120; And a step (S211) of calculating a blood vessel distance based on the separation distance. First, the first wearable device 110 uses the wireless communication signal transmitted from the second wearable device 120 to the first wearable device 110 including the heartbeat data to calculate the distance (i.e., the first wearable device 110 ) And the second wearable device 120) can be calculated.

The received signal strength intensity (RSSI) method using the strength of the received signal, the time of flight (TOF) using the time taken for the signal to be transmitted between the wearable devices 100, Method or the like can be used. As described later, when three or more wearable devices 100 are used, a time difference of flight (TDOF) method using a difference in flight time of a radio wave is used as a method of measuring a distance by using a wireless communication signal, An angle of arrival (AOA) scheme using an arrival angle of a radio wave, a phase of arrival (POA) scheme using an arrival phase of a radio wave, and the like.

Thereafter, the first wearable device 110 can calculate the corresponding blood vessel distance based on the separation distance. It is necessary to know the distance through the blood vessel between the two points measured by the first wearable device 110 and the second wearable device 120 in calculating the blood pressure data. Therefore, the first wearable device 110 calculates the blood vessel distance corresponding to the calculated separation distance.

Also, in the process of calculating the blood vessel distance, the first wearable device 110 may reflect the body part (or measurement point) where the first wearable device 110 and the second wearable device 120 are worn. The blood vessel distances may be different even if the two wearable devices 100 have the same spacing distance depending on the body part worn. Therefore, the first wearable device 110 can calculate the blood vessel distance between the wearable portion of the first wearable device 110 and the wearable portion of the second wearable device 120. [

The first wearable device 110 can receive wearing part information from another wearable device 100 through wireless communication. Each wearable device 100 can grasp the wear position in various ways. In one embodiment, each wear position may be determined according to the type of wearable device 100. For example, when the second wearable device 120 is a wrist wearable wearable device 100, the first wearable device 110 receives the identification information that the second wearable device 120 is wrist-worn, . Further, in another embodiment, the wearable device 100 can analyze the movement of the wearer's body part to grasp the wearing area. That is, the time difference data calculation step (S200) may calculate the time difference data based on the movement patterns of the first wearable device 110 or the second wearable device 120 through the movement pattern analysis of the first wearable device 110 or the second wearable device 120 And recognizing a measurement point where the measurement object 120 is worn.

The time difference data calculation step S200 may calculate the blood vessel distance using the identification information included in each wearable device 100 in another embodiment. Each wearable device 100 may store identification information corresponding to the measurement point to which it is attached and may transmit the identification information when transmitting the measured heartbeat data.

For example, the first wearable device 110 receives the wireless communication signal including the identification information from the second wearable device 120 and transmits the second identification information (i.e., the identification information of the second wearable device 120) The wearable device 100 is recognized through the first identification information stored in the first wearable device 110 (i.e., the identification information of the first wearable device 110) and the received second identification information, You can identify the point and calculate the vessel distance between the two body points.

For example, when the blood pressure data is calculated by the external terminal 200, the external terminal 200 receives the wireless communication signal including the identification information from the plurality of wearable devices 100, The identification information of each wearable device 100), identify the body point where each wearable device 100 is worn through the received plurality of identification information, and calculate the distance of the blood vessel between the two body points have.

In addition, when the two wearable devices 100 are not placed on the same vessel path, the external terminal 200 can calculate the difference between the vessel distances from the heart to each body point. That is, the first measurement point (i.e., the point where the first wearable device 110 is worn) and the second measurement point (i.e., the point where the first wearable device 110 is worn) are not connected directly between the two wearable devices 100, The external device 200 or the first wearable device 110 moves from the heart (i.e., the left ventricle) to the first measurement point and the second measurement point when the bloodstream flows to the second wearable device 120 (I.e., the distance of the blood vessel from the heart to the first measurement point where the first wearable device 110 is worn) and the second blood vessel distance (i.e., the distance from the heart to the second wearable device 110) The distance of the blood vessel to the second measurement point where the first measurement point 120 is worn) can be calculated. That is, since the difference between the first blood vessel distance and the second blood vessel distance causes a difference in the time at which the heartbeat (i.e., heartbeat) arrives from the heart, it is calculated and used as a blood vessel distance used for calculating blood pressure data .

9, the time difference data calculation step S200 may calculate the time difference data based on the first identification information and the second identification information so that the first wearable device 110 and the second wearable device 120 are in the same blood flow (S220) of determining whether the route is located on the route; And when the first wearable device (110) and the second wearable device (120) are determined not to be located on the same blood flow path, a blood vessel distance from the heart corresponding to the first identification information and the second identification information (Step S221).

First, the external terminal 200 or the first wearable device 110 can grasp the attachment position based on the identification information corresponding to each wearable device 100 and determine whether the attachment position is attached or placed on the same blood flow path . For example, if the first wearable device 110 is a wrist wearable wearable device 100 (e.g., a smart watch or a smart band) and the second wearable device 120 is a finger wearable wearable device 100 The external terminal 200 or the first wearable device 110 may attach the first wearable device 110 and the second wearable device 120 to the wrists and fingers of the same direction, (I.e., the first wearable device 110 is worn on the right wrist and the second wearable device 120 is worn on the left-hand fingers), the other path As shown in FIG. When the first wearable device 110 is the wearable wearable device 100 and the second wearable device 120 is the wearable wearable device 100, the first wearable device 110 or the external terminal 200, It can be determined that each wearable device 100 is placed on another path.

Thereafter, the first wearable device 110 or the external terminal 200, when the two wearable devices 100 are not disposed on the same path, transmits the first identification information and the second identification information from the heart corresponding to the first identification information and the second identification information. The blood vessel distance can be calculated (S221). The first wearable device 110 or the external terminal 200 can search the internal memory or the external server for the blood vessel distance for each identification information (i.e., attachment position) from the heart. For example, when storing the blood vessel distance data from the heart by the measurement position in the external server, the first wearable device 110 or the external terminal 200 transmits the identification information or the measurement position information to the external server, The blood vessel distance data from the heart corresponding to the identification information or the measurement position can be received.

The blood vessel distance calculation step S221 may be performed by applying the user's body information data (for example, the user's sex, height, weight, age, BMI, etc.) to the blood vessel distance reference data, (I.e., the first blood vessel distance or the second blood vessel distance) with respect to the identification information. The first wearable device 110 or the external terminal 200 can not recognize the user's physical condition because the blood vessel distances may be different even if the wearable device 100 is worn on the same body part (or measurement part) It is necessary to calculate the distance of the blood vessel.

Therefore, the internal memory of the first wearable device 110 or the external terminal 200 or the database of the external server can store the blood vessel distance (i.e., blood vessel distance reference data) from the heart to each measurement point according to physical conditions, The first wearable device 110 or the external terminal 200 applies the user's physical condition (for example, arm length, leg length, key, etc.) to the blood vessel distance reference data to calculate the blood vessel distance corresponding to the user's physical condition Can be calculated.

For example, a body database of an external server can be classified according to conditions such as height, weight, age, and body fat information, and blood vessel distances from the heart to each measurement position can be stored for each body type classification. The first wearable device 110 or the external terminal 200 applies the user's body information data to the database so that the distance from the heart to the attachment position of the first wearable device 110 or the second wearable device 120 I can grasp.

The distance from the left ventricle where the blood pressure to be measured is generated to the point at which the wearable device 100 is worn may be different depending on which (for example, right or left) of the wearable device 100 is disposed have. It is necessary to grasp which wearable device 100 is worn on both sides (i.e., the right side and the left side). Accordingly, when the wearable device 100 can be worn on a plurality of body parts, the first wearable device 110 or the external terminal 200 calculates the body parts worn by each wearable device 100 And various methods can be applied in such a manner as to calculate the body part to be worn.

The identification information of each wearable device 100 includes the wearable part information and the identification information of the first wearable device 110 and the external terminal 200 is included in the identification information of the wearable device 100, A method of recognizing the wearing area information can be applied. For example, when the first wearable device 110 is the worn wearable wearable device 100, since the wear direction of the wearable device 100 is determined mainly by the user (for example, The wearable device 100 can input the wear direction information from the user and store it together with the identification information. Thereafter, the first wearable device 110 or the external terminal 200 can grasp the accurate wearing area through the identification information including the wear direction information.

The first wearable device 110 or the external terminal 200 calculates the blood pressure data based on the time difference data (S300). That is, the first wearable device 110 or the external terminal 200 can calculate the blood pressure data using the time difference data corresponding to the pulse transit time (PTT), and can calculate the pulse transmit time The blood pressure data can be calculated using the pulse wave velocity (PWV) calculated through the PTT.

The first wearable device 110 or the external terminal 200 can calculate the blood pressure data by applying the PTT or the PWV to the blood pressure estimation model generated through the blood pressure data calculation expression or the machine learning. For example, the external terminal 200 or the first wearable device 110 can calculate the blood pressure using a linear regression model which is an example of the blood pressure estimation model as follows. The systolic blood pressure (Systolic BP) and the diastolic blood pressure (Diastolic BP) can be expressed as follows.

The first wearable device 110 or the external terminal 200 can acquire data to be learned to determine constants of the systolic blood pressure / diastolic blood pressure calculating formula according to the blood pressure estimation model. That is, the first wearable device 110 or the external terminal 200 can acquire user information and collect data using the heart rate sensor. Thereafter, the first wearable device 110 or the external terminal 200 can measure the blood pressure value to be obtained simultaneously with the heartbeat data acquisition using the electronic blood pressure monitor.

Thereafter, the first wearable device 110 or the external terminal 200 places the factors influencing the blood pressure estimation as independent variables, and sets the blood pressure value, which is the estimation result, as the dependent variable. Using the collected data, the coefficients can be trained through machine learning so that the blood pressure presumption model approximates the blood pressure value as a dependent variable, and the coefficients can be learned differently according to the learning data. The real-time blood pressure value can be calculated by inputting a plurality of heartbeat data measured by a plurality of wearable devices to the blood pressure estimation model generated in conformity with the present invention.

When the user wears n wearable devices 100 (n is a natural number greater than 2), n C 2 pieces of time difference data can be calculated and utilized by using the n wearable devices 100. To this end, the heartbeat data reception step S100 is a step in which, when the first wearable device 110 calculates the time difference data, the first wearable device 110 measures from the second wearable device 120 to the nth wearable device When the external terminal 200 calculates the time difference data, the external terminal 200 can receive the measured heartbeat data from the first wearable device 110 to the nth wearable device. In addition, the time difference data calculation step S200 may be performed such that the first wearable device 110 or the external terminal 200 combines two pieces of the n wearable devices 100 into a plurality of pieces of time difference data (for example, n C 2 Time difference data) can be calculated.

When the user wears n wearable devices 100 (n is a natural number greater than 2), the blood pressure data calculation step (S300), as shown in FIG. 20, Calculating blood pressure data (S310); And calculating (S320) final blood pressure data by applying a weight to each individual blood pressure data. That is, the first wearable device 110 or an external terminal 200, a plurality of time difference data (e.g., n C 2 of the time difference data) individual blood pressure of a plurality (e.g., n C 2 pieces) by applying each Data can be calculated. Thereafter, the first wearable device 110 or the external terminal 200 can perform an averaging calculation by applying a weight corresponding to each individual blood pressure data to n C 2 individual blood pressure data. The weight may be determined based on the dynamic noise magnitude generated at each measurement point. That is, since the size of the motion artifacts may vary depending on the measurement region where the wearable device 100 is worn, the blood pressure data calculated through the heartbeat data measured at two body parts having small motion noise magnitude Can be increased. For example, in the case of the wrist, it is a convenient part to wear but it is a part where movement can occur well, and it may be difficult to measure the signal by motion noise. On the other hand, if the ear is attached in the form of an ear, it is a region with less motion, so that it is possible to obtain a measurement result which is robust against relatively moving noise. Therefore, the final blood pressure data can be calculated by reflecting the motion noise characteristic of each body part.

In addition, the weight can be determined based on not only the magnitude of the dynamic noise generated at each measurement point but also the signal-to-noise ratio, signal accuracy, and the like. For example, the weight value for the reliability of the signal can be determined according to the S / N ratio instead of the noise of the PPG signal according to the characteristics between the wearable devices 100. Specifically, the three wearable devices 100 A, device B, and device C), three PTTs AB, BC, and CA can be calculated. The first wearable device 110 (e.g., device A) or the external terminal 200 can calculate the PTT per unit distance (i.e., the PWV) using the distance difference between the wearable devices 100 have. Thereafter, the first wearable device 110 (e.g., device A) or the external terminal 200 may respectively calculate three weight sums according to the reliability of the signal. When a large number of wearable devices 100 are used, the PWV can be obtained with a large number of signal combinations, so that a more accurate signal can be calculated.

In addition, the method may further include synchronizing a reference time between each wearable device 100. FIG. That is, accurate heartbeat data can be calculated by measuring heartbeat data based on the same reference time between wearable devices 100. Therefore, through the wireless communication between the wearable devices 100 or the communication with the external terminal 200, each wearable device 100 can set the same reference time.

The blood pressure calculation method using a plurality of wearable devices according to an embodiment of the present invention described above can be implemented as a program (or an application) to be executed in combination with a hardware terminal and stored in a medium.

In order to execute the above-mentioned methods implemented by the terminal by reading the program, the above-mentioned program may be stored in a computer-readable medium such as C, C ++, JAVA, And a code encoded in a terminal language of the terminal. The code may include a function code related to a function or the like that defines necessary functions for executing the methods, and includes a control code related to an execution procedure necessary for the processor of the terminal to execute the functions in a predetermined procedure can do. In addition, the code may further include a memory reference related code as to which location (address) of the terminal's internal or external memory should be referenced for additional information or media needed for the processor of the terminal to perform the functions have. In addition, when the processor of the terminal needs to communicate with any other terminal, server or the like remote to execute the functions, the code may be transmitted to any other terminal or server remotely using the communication module of the terminal A communication-related code for determining whether to communicate, what information or media should be transmitted or received during communication, and the like.

The medium to be stored is not a medium for storing data for a short time such as a register, a cache, a memory, etc., but means a medium that semi-permanently stores data and is capable of being read by a device. Specifically, examples of the medium to be stored include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like, but are not limited thereto. That is, the program may be stored in various recording media on various servers to which the terminal can access, or on various recording media on the terminal of the user. In addition, the medium may be distributed in a terminal system connected to the network, and a code readable by a terminal in a distributed manner may be stored.

According to the present invention as described above, the following various effects are obtained.

First, accurate blood pressure data can be calculated based on existing blood pressure measurement methods. Particularly, as more heartbeat data is acquired through a plurality of wearable devices, accurate blood pressure data can be calculated.

Second, the blood pressure can be calculated for a plurality of wearable devices worn without separately performing an action for measuring blood pressure, so that the blood pressure can be easily used. Particularly, patients who need to check blood pressure from time to time can be useful.

Third, blood pressure data can be calculated through interlocking between a plurality of wearable devices capable of measuring heartbeat data, without needing a separate device for measuring blood pressure. Therefore, the user may not purchase a separate device for blood pressure measurement.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

100: a wearable device 110: a first wearable device
120: second wearable device 130: third wearable device
200: external terminal

Claims (11)

  1. The first wearable device acquiring first heartbeat data;
    Receiving second heartbeat data obtained from a second wearable device;
    Calculating time difference data between a measurement point at which the first wearable device and the second wearable device are worn through the first heartbeat data and the second heartbeat data; And
    Calculating blood pressure data based on the time difference data;
    Wherein when the user wears n wearable devices (n is a natural number greater than 2), the first wearable device receives the measured heartbeat data from the second wearable device to the nth wearable device, And calculating a plurality of individual blood pressure data based on the respective time difference data and applying final weights to the respective individual blood pressure data to calculate final blood pressure data. Wherein the wearable device is a wearable device.
  2. Receiving an external terminal's first heartbeat data and second heartbeat data obtained from the first wearable device and the second wearable device;
    Calculating time difference data between a measurement point at which the first wearable device and the second wearable device are worn through the first heartbeat data and the second heartbeat data; And
    Calculating blood pressure data based on the time difference data;
    Wherein when the user wears n wearable devices (n is a natural number greater than 2), the external terminal receives the measured heartbeat data from the first wearable device to the nth wearable device, And calculating a plurality of individual blood pressure data based on the respective time difference data and applying final weights to the respective individual blood pressure data to calculate final blood pressure data. A method of calculating blood pressure using a wearable device.
  3. The method according to claim 1,
    Wherein the time difference data calculation step comprises:
    The first wearable device receiving a radio signal from the second wearable device;
    Calculating a separation distance from the second wearable device; And
    And calculating a blood vessel distance on the basis of the separation distance.
  4. The method of claim 3,
    And recognizing a measurement point wearing the first wearable device or the second wearable device through a movement pattern analysis of the first wearable device or the second wearable device by using a plurality of wearable devices Blood pressure calculation method.
  5. The method according to claim 1,
    Each wearable device,
    Storing identification information corresponding to a measurement point to be attached,
    And transmitting the measured heartbeat data including the identification information at the time of transmission of the measured heartbeat data.
  6. 6. The method of claim 5,
    Wherein the time difference data calculation step comprises:
    Determining whether the first wearable device and the second wearable device are located on the same blood flow path based on the first identification information and the second identification information;
    Calculating a blood vessel distance from the heart corresponding to the first identification information and the second identification information when it is determined that the first wearable device and the second wearable device are not located on the same blood flow path Wherein the wearable device is a wearable device.
  7. The method according to claim 6,
    The blood vessel distance calculating step may include:
    And the user's body information data is applied to the blood vessel distance reference data to calculate the blood vessel distance to the first identification information or the second identification information,
    Wherein the blood vessel distance reference data includes a blood vessel distance from the heart to each measurement point for each physical condition.
  8. delete
  9. delete
  10. The method according to claim 1,
    The weighting value,
    Wherein the wearable device is determined based on a motion noise magnitude generated at each measurement point.
  11. 10. A blood pressure calculation program using a plurality of wearable devices stored in a medium in combination with hardware to execute any one of the methods of claims 1 to 7 and 10.
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