KR20160126660A

KR20160126660A - Wearable Apparatus, Server, System, and Method for Extracting Parameters of Cardiovascular

Info

Publication number: KR20160126660A
Application number: KR1020150058001A
Authority: KR
Inventors: 신항식
Original assignee: 전남대학교산학협력단
Priority date: 2015-04-24
Filing date: 2015-04-24
Publication date: 2016-11-02
Also published as: KR101674997B1

Abstract

The present invention relates to a wearable bio-signal measuring instrument, a server, a system and a method, and more particularly, to a wearable bio-signal measuring instrument for extracting cardiovascular parameters, which comprises a sensing part for measuring a bio-signal using at least one sensor, The storage unit
And the sensing unit is attached to the upper part of the skin without invasion of the body, so that the heart trajectory and the heart rate can be measured.
Therefore, according to the present invention, it is possible for a user to conveniently carry, self-health management is possible by measuring various vital signs easily without invasion of the human body and extracting cardiovascular parameters therefrom.

Description

{Wearable Apparatus, Server, System, and Method for Extracting Parameters of Cardiovascular}

The present invention relates to a wearable bio-signal measuring instrument, server, system and method, and more particularly, to a wearable bio-signal measuring instrument, server, system and method, A server, a system, and a method capable of calculating a cardiovascular parameter conveniently by wearing it.

Heart disease and cerebrovascular disease are the leading cause of adult death in Korea. Cardiac arrest is an acute disease that occurs frequently in healthy people, and can lead to severe disability or brain death if not treated promptly, and it is a dangerous disease that leads to death in severe cases. Cardiac anomalies are closely related to daily activities and eating habits, which can cause sudden exercise, overeating, cholesterol-overload ischemia. In addition, as the blood vessels contract, blood pressure increases rapidly, which increases the risk of sudden death due to heart attack. In addition, cardiovascular disease can cause chronic diseases such as hypertension, diabetes, obesity, arteriosclerosis, heart disease, dyslipidemia, and it becomes a source of paralysis, cancer and various other incurable diseases when it gets worse.

The prevalence of cardiovascular disease is increasing with decreasing physical activity and dietary changes occurring in the process of developing into an industrialized society, and it is accelerating with the entry into a rapidly aging society. These heart diseases are categorized as an important initial disease causing all other diseases. One of the important diagnostic methods for this is the measurement of the electrocardiogram, and the measured electrocardiogram can be used to identify the abnormal activity of the heart.

Electrocardiogram (ECG) is the recording of the heart's electrical activity on the body surface and is used for primary screening of cardiac conditions. Electrocardiograms (ECGs) provide the basis for predicting cardiothoracic physiological problems by telling the right conduction of the heart. In general, if a cardiac abnormality is suspected, the ECG is continuously measured and analyzed for 24 hours. At this time, a device such as a holter is used to continuously measure the 24-hour electrocardiogram. Holter usually records two 24-hour electrocardiograms in the form of two arms of upper body, three electrodes on one leg, and a measurement module attached to the waist or neck.

Holter measurement has contributed greatly to the diagnosis of abnormalities through electrocardiogram (ECG), but there has been a problem such as inconvenience of wearing and carrying continuously. From this point of view, recently developed patch electrocardiography technology has attracted attention as a substitute for holter. Recently, patch type electrocardiogram measuring instruments are made with finger size and attached to the body surface around the heart to measure and store the electrocardiogram. Certain devices also have the ability to transmit electrocardiograms in real time, and they also incorporate various sensor technologies such as acceleration sensors to provide additional functions such as motion detection and momentum calculation. Although these latest electrocardiography techniques have greatly improved the convenience of electrocardiogram measurement, attempts at new analytical methods and various cardiac function evaluation functions have not been made.

Assessment of mechanical activity and hemodynamic activities other than electrical activity of the heart is also important for accurate diagnosis of the heart. Assessment of cardiac function is based on judging the appropriateness of existing treatment and setting up future treatment policy. Recently, a method of assessing cardiac function closer to actual use has been studied and developed by using remarkably developed image technologies. However, it is still necessary to complement each other's advantages and disadvantages and weaknesses of images.

Among the most commonly used methods, angiography has been known to be the most accurate measurement of angina pectoris. However, this method has risks associated with the invasiveness of the procedure. Especially, it is limited to clinical applications for easy application to children. Recently, rapid progressive echocardiography is a good indicator of left ventricular function. It is based on the assumption that the ventricles are symmetrically shaped, which is mainly caused by the size and volume change of the ventricles in the systolic and diastolic phases. In the right ventricle, very limited measurements are made. The right ventricle is different from the left ventricle in its asymmetric shape and it is difficult to express it as a simple geometric form. Therefore, various methods for precise quantitative measurement of the size and volume of the right ventricle have been devised, but any imaging technique such as isotope or magnetic resonance imaging Accurate measurement is very difficult even if it is used. In addition, in congenital heart disease, the shape of the ventricles may be more difficult to assess due to the irregularity of pressure and volume overload in each cardiac fraction.

Therefore, various methods have been devised for the simple and convenient complementary functional evaluation using echocardiography devices, and a method using Doppler time interval measurement has been developed. However, the Doppler method has limitations in that it is not suitable for self-health management because it is difficult to measure in a place other than the hospital due to the problem of the equipment and requires the measurement of a skilled expert.

The present invention has been made in order to solve the above-mentioned problems and to propose a new value through partial utilization of existing technologies. The present invention enables a user to self-manage health care outside a hospital, And to provide the above objects.

In addition, the present invention makes it convenient to carry a bio-signal measuring instrument so that when a patient suffering from a heart disease travels over a long distance, the user can carry it by himself, check his / her situation, and take appropriate medicine to provide effective portability .

It is another object of the present invention to enable simultaneous measurement of various vital signs without invasion of the body, and to provide effective diagnosis to children who have difficulty in measuring the method of invasion.

In addition, the present invention simultaneously extracts cardiovascular parameters such as PEP, LVET, MPI, LVET ratio, and STR without using stationary devices such as Doppler devices by simultaneously measuring various bio-signals such as cardiac trajectory, electrocardiogram, It is aimed at making everyday everyday, occasional measurement as well as easy health care of individual. Particularly, in comparison with the existing wearable bio-signal measuring device used for measuring electrocardiogram and the built-in acceleration sensor for relatively large motion recognition such as motion and momentum, the present invention utilizes an acceleration sensor mounted on a wearable device, The aim is to further measure the core ballistics.

In addition, the present invention provides a bio-signal measuring device that self-diagnoses a heart attack by itself when a user suddenly finds a heart attack, and notifies the user of the location of the cardiac arrest. To prevent sudden death.

In order to achieve the above-mentioned object, the wearable bio-signal measuring device of the present invention is a wearable bio-signal measuring device for extracting a cardiovascular parameter of a user, comprising: a sensing part for measuring a bio-signal using at least one sensor; Wherein the sensing unit is attached to the upper side of the skin without invasion of the body, and measures at least one of electrocardiogram, cardiac trajectory, and heart rate.

The wearable bio-signal measurement apparatus of the present invention may further include a control unit for extracting a feature point based on the signal stored in the storage unit, calculating a cardiovascular parameter using the feature point, and a display unit for outputting the cardiovascular parameter . At this time, in the wearable bio-signal measuring instrument of the present invention, the controller extracts a point where the slope of the bio-signal is zero as a feature point, and when the bio-signal is a cardiac trajectory, H, I, J, K, A, IC, AC, RE, and MO points are extracted as feature points in the case of an electrocardiogram, N, and P, Q, R, S, and T points.

Further, in the wearable bio-signal measuring instrument of the present invention, the controller can calculate the core (ball) and the deep-seated signal or the energy (area) of the cardiac trajectory and the deep-seated differential signal through integration or accumulation, The results of the cardiovascular variables can be stored in a database and stored to provide a stored measurement history. In addition, the controller may provide different information to the user depending on the measured range of the cardiovascular parameters.

The wearable biological signal measuring apparatus of the present invention is characterized in that at least any one of ICT, IRT, LVET, PEP and MPI is derived from the position, interval, amplitude and frequency of the minutiae points extracted by the control section .

The wearable bio-signal measurement device of the present invention is characterized in that the controller calculates energy of a differential signal of cardiac trajectory and / or heart rate through integration or accumulation.

In addition, the wearable bio-signal measuring apparatus of the present invention may further include a position information unit for grasping the position information of the user. In this case, when the detection unit detects the abnormality by measuring the bio- Automatically reporting to the rescue party and transmitting the location information to the rescue party.

Also, the wearable bio-signal measurement device of the present invention is characterized in that the sensing part simultaneously measures bio-signals of heart trajectory, electrocardiogram, heart rate, and pulse wave.

In addition, the wearable bio-signal measuring device of the present invention includes a communication unit for transmitting a stored signal to a wearable bio-signal measurement server, receiving a cardiovascular parameter result from the wearable bio-signal measurement server, and a position information unit for grasping the position information of the user Wherein the control unit transmits the position information and the emergency signal of the user to the wearable bio-signal measurement server when the detection unit detects the abnormality by measuring the bio-signal according to the predetermined period.

According to another aspect of the present invention, there is provided a wearable bio-signal measurement server comprising: a communication unit for receiving a measured signal from a wearable bio-signal measurement device and transmitting a cardiovascular parameter result; And calculating a cardiovascular parameter using the characteristic points.

In the wearable bio-signal measurement server of the present invention, the controller extracts a point at which the slope of the bio-signal is zero as a feature point, and when the bio-signal is a cardiac trajectory, H, I, J, K, A, IC, AC, RE, and MO points are extracted as feature points in the case of an electrocardiogram, N, and P, Q, R, S, and T points.

In the wearable bio-signal measurement server of the present invention, the controller can calculate the energy (area) of the cardiac trajectory and heart rate signal, cardiac trajectory and heart rate differential signal through integration or accumulation, The results of the variables can be stored in a database and stored, and the measurement history stored in the wearable bio-signal measuring device can be provided. At this time, the communication unit may provide the stored measurement history so that the user can check the measurement history.

In addition, the control unit receives the medical information of the user from the PHR server or the EMR server, classifies the health state of the user, compares the measured biological signal and the cardiovascular parameter with the health state of the user, It is possible to provide the bio-signal measuring apparatus with information that the user needs to pay attention to in the wearable bio-signal measuring apparatus according to the measured range of the cardiovascular parameters.

The wearable bio-signal measurement server of the present invention is characterized in that at least any one of ICT, IRT, LVET, PEP and MPI is derived from the position, interval, amplitude and frequency of the feature points extracted by the control unit . Further, in the wearable bio-signal measurement server of the present invention, the controller may calculate the energy of the cardiac trajectory and the cardiac progressivity, or the derivatives of the cardiac trajectory and the cardiac progressivity through integration or accumulation.

In the wearable bio-signal measurement server of the present invention, when the communication unit receives the user's location information and the emergency signal from the wearable bio-signal measurement device, the control unit automatically reports to the rescue unit and transmits the location information .

According to another aspect of the present invention, there is provided a wearable biological signal measurement system for extracting a cardiovascular parameter according to the present invention. The system measures and stores bio-signals using at least one sensor, A wearable bio-signal measuring device for receiving a cardiovascular parameter result value from the wearable bio-signal measurement server, and a wearable bio-signal measuring device for extracting a feature point from the measured signal, And the wearable bio-signal measurement server transmits the calculated cardiovascular parameter result to the wearable bio-signal measurement device. The wearable bio-signal measurement device is attached to the upper side of the skin without invasion to the body, and the electrocardiogram, heart balloon degree, Which can measure at least one of Characterized in that the gong.

According to another aspect of the present invention, there is provided a wearable bio-signal measuring method for measuring cardiovascular parameters of a wearable bio-signal measuring instrument, comprising the steps of: (a) measuring and storing a bio-signal by at least one sensor; b) extracting feature points based on the measured signals, (c) calculating cardiovascular parameters using the feature points, And (d) outputting the calculated cardiovascular parameters, wherein the step (a) comprises the steps of: (a) measuring the at least one of electrocardiogram, cardiac trajectory, And the like.

The present invention extracts various cardiovascular parameters that check the condition of the heart by simultaneously measuring various bio-signals such as heart trajectory, electrocardiogram, heart rate, and volume pulse by enabling the user to self-manage health outside the hospital It enables daily, everyday and occasional measurement as well as personal health care.

In addition, an integrated device equipped with an inertial sensor, an electrocardiograph, an optical and impedance type pulse wave measuring function incorporated in a wearable bio-signal device so that a user can measure his or her own bio-signal, It is possible to obtain an effect that the user can more easily and conveniently measure his or her own vital sign.

Particularly, it is possible to easily measure the deepness and core trajectory which have not been measured in the conventional wearable bio-signal measurement device, thereby enabling the user to obtain more of the biometric information of the user himself.

In addition, it is possible to measure various vital signals with simple pad attachment form without invasion to the body, so that it is possible to carry out self diagnosis for both male and female without burden to the user.

On the other hand, when a patient suffering from a heart disease is to be moved for a long distance by carrying it conveniently, it is possible to provide effective portability by carrying it by himself and checking his / her situation and taking an appropriate medicine.

Finally, when a user suddenly finds a cardiac arrest and no one is around, the bio-signal measuring device self-diagnoses itself with a heart attack, automatically notifies the rescue team of the location of the user, You can stop it as soon as possible.

1 is a block diagram showing functional blocks of a wearable bio-signal measuring device according to an embodiment of the present invention.
2 is a block diagram illustrating a functional block of a wearable bio-signal measurement server according to an embodiment of the present invention.
3 is a block diagram illustrating a functional block of a wearable bio-signal measurement system according to an embodiment of the present invention.
4 is a flowchart illustrating a method of measuring a wearable bio-signal according to an embodiment of the present invention.
FIG. 5 is a reference diagram for explaining a schematic view and a characteristic point of a waveform when measuring the cardiac trajectory according to the present invention. FIG.
FIG. 6 is a reference diagram for explaining a schematic view and characteristic points of a waveform when the electrocardiogram is measured by the present invention.
7 is a reference diagram for explaining a schematic view and characteristic points of a waveform when the present invention is used to measure the degree of heart rate.
FIG. 8 is a reference diagram for explaining variables of a bio-signal used by the present invention to calculate a cardiovascular parameter.
FIG. 9 is a reference view schematically illustrating a wrist-type instrument according to an embodiment of the present invention, which is worn on a human body to measure a living body signal.
10 is a reference view schematically illustrating a method of measuring a living body signal by wearing a chest patch type device according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may obscure the subject matter of the present invention.

1 is a view showing a wearable bio-signal measuring instrument 100 according to an embodiment of the present invention.

1, the wearable bio-signal measuring instrument 100 includes a sensing unit 110, a storage unit 120, a control unit 130, a display unit 140, a communication unit 150, and a position information unit 160 do.

The sensing unit 110 senses a living body signal using an electrode, an inertial sensor (which refers to a sensor related to movement of an acceleration sensor, an angular velocity sensor, a tilt sensor, a rotation sensor, etc.), an electrocardiograph, an optical impedance And it is possible to simultaneously measure various bio-signals using all the sensors. Here, biomedical signals refer to heart trajectory, electrocardiogram, heart rate, and pulse wave.

Cardiac balloons (BCGs) can be used to infer cardiac activity from blood flow, which is caused by a heart beat caused by a rise in blood flow (toward the head) and a fall (toward the body) when blood is released into the aorta by heart contraction It will help. H, I, K, L, M and N are the main feature points of the core ballistics (see FIG. 5), H is the pre-ejection period, IJK is the ejection, (diastolic).

Electrocardiogram (ECG) is a graphical representation of the electrical activity of the heart, which represents the electrical activity that occurs and propagates in the atria and ventricles. P, Q, R, S, and T are the major features of the ECG (see Fig. 6), P is atrial contraction, QRS is known to be an electrical activity that causes ventricular contraction, T is depolarization after ventricular depolarization &Lt; / RTI > Electrocardiogram (ECG) is measured on both sides or the heart with respect to the heart, and can be measured through various types of electrodes and measurement methods such as a metal electrode other than silver-chloride electrode, a conductive fiber electrode, and a capacitance measurement method.

Seismocardiogram (SCG) is a cardiac activity measured by an accelerometer or the like, which reflects the physical activity of the cardiovascular system due to contraction / relaxation, blood flow / blood pressure, and not electrical activity of the heart. It is known that the feature points (see Fig. 7) of the heaviness progresses in the systolic and diastolic phases, respectively. These are MC (mitral valve closure), aortic-valve opening, IM (isovolumic moment) aortic-valve closure, RE (rapid ejection) and MO (mitral valve open).

Plethysmography (PG) is a measurement of the amount of blood, and there is an optical pulse pulse (PPG: Photo-PG) by an optical method and an impedance pulse pulse (IPG: Impedance-PG) by an electrical impedance measurement method. Generally, volumetric pulse waves are measured at the extremities of the fingertips, toes, and earlobes.

&Lt; Embodiment according to the position of the sensing unit 110 >

1) Electrocardiogram through patch type device - Simultaneous measurement of heart rate and heart rate

Electrocardiograms can be measured at the electrode of the device attached to the chest and the motion can be measured from the inertial sensor built into the system.

2) Electrocardiogram through chest belt device - Simultaneous measurement of heart rate and heart rate

Electrocardiograms can be measured at the electrode of a belt-type device attached to the chest and the motion can be measured from the built-in inertial sensor.

3) Simultaneous measurement of pulse wave - heart rate and heart rate through a wrist instrument

With the wrist placed on the heart, the heart rate and heart rate can be measured while measuring the pulse wave through the wrist device.

4) Simultaneous measurement of electrocardiogram, pulse wave - heart rate,

Heart rate, heart rate, heart rate, heart rate, electrocardiogram - pulse wave - heart rate - heart rate can be measured at the same time when a separate external device is placed on the chest or behind the back of the heart.

5) Simultaneous measurement of electrocardiogram and heart rate by padded instrument

It is possible to simultaneously measure ECG-heart rate using a padded device that can be placed behind the back, such as a bed or a chair.

6) Simultaneous measurement of electrocardiogram and heart balloon through goggle type device

A goggle-type instrument can measure far-field electrocardiograms, simultaneously measure cardiac trajectories by head motion, measure pulse waves in arteries located on the head of a temple, and simultaneously measure cardiac trajectories according to head movements.

7) Simultaneous measurement of electrocardiogram and heart rate through scale

Electrocardiograms can be measured through electrodes on both feet, and cardiac trajectories occurring under pressure can be measured simultaneously.

8) Simultaneous measurement of electrocardiogram, pulse wave - heart rate,

Simultaneous measurement of electrocardiogram - heart rate, heart rate or pulse wave - heart rate, heart rate, or electrocardiogram - pulse wave - heart rate - heart rate can be performed through devices connected to mobile devices.

9) Electrocardiogram through sitting device (chair, etc.) - Simultaneous measurement of heart rate and heart ball

It is possible to measure electrocardiogram (ECG) by non-contact method such as capacitance type through equipment built in chair, car seat and so on, and to measure the depth of progress with built-in sensor.

The sensing unit 110 can measure a living body signal without invasion of the body using at least one of the sensors mentioned above, and various sensors can be built in one body to simultaneously measure various living body signals. Also, it is possible to measure the user's condition according to the preset period.

Also, the sensing unit 110 can simultaneously measure cardiac trajectory, electrocardiogram, heart rate, and pulse wave. For example, the electrocardiogram, the heart rate, and the heart rate can be measured with a chest patch type device (see FIG. 10), and the wrist is placed on the chest while the pulse wave is constantly measured by the wrist type device (see FIG. 9) , And core ballistics can be measured simultaneously. However, the method is not limited to the above method, and other types of wear can be applied if bio-signals can be measured.

The storage unit 120 stores the bio-signals measured by the sensing unit 110. The configuration of the storage unit 120 may be a hard disk type such as an HDD or an SSD, or a flash memory may be used. The storage unit 120 stores a signal value for the purpose of temporarily storing a value for calculation by the control unit 130 or transmitting the value to the wearable bio-signal measurement server 200.

The control unit 130 extracts feature points based on the signal stored in the storage unit 120. The feature point is a point having a common characteristic from a biological signal and can be used to calculate a cardiovascular parameter.

H, I, K, L, M and N are the main feature points of the core ballistics (see FIG. 5), H is the pre-ejection period, IJK is the ejection, (diastolic).

P, Q, R, S, and T are the major features of the ECG (see Fig. 6), P is atrial contraction, QRS is known to be an electrical activity that causes ventricular contraction, T is depolarization after ventricular depolarization &Lt; / RTI >

It is known that the feature points (see Fig. 7) of the heaviness progresses in the systolic and diastolic phases, respectively. These are MC (mitral valve closure), aortic-valve opening, IM (isovolumic moment) aortic-valve closure, RE (rapid ejection) and MO (mitral valve open).

The control unit 130 filters and scales the signal extracted by the sensing unit 110, digitizes the signal, recognizes the repeated shape of the biological signal, recognizes the period of the waveform, calculates the differential signal, A point at which the differential value is zero, that is, a point at which an inflection point or a slope is 0 can be extracted as a feature point. Also, the controller 130 may calculate the energy (area) of the cardiac trajectory and the heart rate signal, the heart rate and the heart rate differential signal through integration or accumulation.

Also, the controller 130 calculates cardiovascular ICT, IRT, LVET, PEP, and MPI using the extracted feature points, such as position comparison, interval comparison, amplitude comparison, and frequency feature comparison between feature points and differential feature points.

Specifically, the myocardial performance index (MPI) is defined as the ratio of the left ventricular ejection time (LVET) to the sum of the isovolumic contraction time (ICT) and the isovolumic relaxation time (IRT) (See FIG. 8). LVET is the time required for blood to be drained from the left ventricle, which is the time from left ventricular contraction to the opening and closing of the aortic valve. That is, MPI = (ICT + IRT) / LVET. (ICT + IRT) is obtained by subtracting the ventricular rescue time (b) from the time from the end of blood flow through the avalanche membrane to the start of the next blood flow (a) . (MPI = (a-b) / b)

In general, relaxation time is calculated by subtracting d from the R wave of the electrocardiogram to the end of the ventricular rescue time (IRT = cd), the isochronous contraction time (ICT) from the c wave from the R wave of the electrocardiogram to the beginning of the blood flow into the atrioventricular plate, Is calculated by subtracting the relaxation time and the ventricular rescue time from the a. (ICT = a-b-IRT)

In addition, the PEP (Pre-Ejection Period) measures the time from the beginning of the QRS wave to the start of ventricular rescue. Other ventricular hemostasis is defined as the time interval from the beginning of the QRS complex in which the electrical contraction of the ECG begins, to the opening of the meniscus in the Doppler ECG, and the systolic time ratio (STR), which is the ratio of electromechanical activity It can be defined as PEP / LVET.

The PEP / LVET ratio is an important marker of LV function, and it is possible to observe an increase in PEP and an increase in PEP / LVET ratio due to LVET in most myocardial diseases.

In addition, in heart failure, isokolygic relaxation and isokolygic relaxation are shortened, and the period of use of energy in heart cycle is isovolumic contraction and isovolumic relaxation. Therefore, this period can be measured to assess the overall function of the systolic and diastolic periods.

Meanwhile, the controller 130 may store the measured bio-signals and cardiovascular parameter results in a database, and may provide a stored measurement history. For example, measured electrocardiogram, heart rate, heart ballistic waveform, and minutia information can be stored together with the user and measurement environment (such as date and time). At this time, based on the stored information, it is possible to provide a history of user measurement and analysis.

Also, the controller 130 may provide different information to the user according to the measured range of the cardiovascular parameters. In the storage unit 120, information to be noticed (food to be cautious, action to be taken, recommendation exercise, etc.) can be stored differently according to the range of the cardiovascular parameters of the user, and the preset attention information is output differently according to the range of the user's measurement result .

When the sensing unit 110 measures a biological signal according to a predetermined period and detects an abnormality, the control unit 130 automatically reports the rescue unit to the rescue unit and notifies the rescue unit of the position information of the user, Or transmit the position information of the user and the emergency signal to the wearable biosignal measurement server 200.

For example, when a user having a heart disease uses the wearable bio-signal measurement device 100 of the present invention, a user's bio-signal is measured according to a predetermined period (ex: 5 minutes) The control unit 130 detects an abnormality of the biological signal, and the control unit 130 automatically receives the notification from the rescue unit and transmits the location information, so that the rescue team can immediately dispatch the rescue user to rescue the user.

The display unit 140 may output the cardiovascular parameter values calculated by the controller 130 and output different colors in a manner that the color of the alarm lamps varies according to the range of the resultant values of the normal, abnormal, and dangerous levels. In addition, the display unit 140 can be made simple in the form of a simple lamp only indicating whether the cardiovascular parameters are normal or abnormal.

The communication unit 150 transmits a signal stored in the storage unit 120 to the wearable bio-signal measurement server 200 via a communication network and receives a cardiovascular parameter result value from the wearable bio-signal measurement server 200. Here, the communication network includes both wired and wireless communication, and the wearable bio-signal measurement device 100 and the wearable bio-signal measurement server 200 are interconnected through a communication network.

The location information unit 160 is equipped with a GPS module and collects location information of a user. It is possible to set the position information to be checked every time the sensor unit detects the biosignal, and to set the position information to be confirmed according to the predetermined period.

2 is a diagram illustrating a wearable bio-signal measurement server 200 according to an embodiment of the present invention.

Referring to FIG. 2, the wearable bio-signal measurement server 200 includes a communication unit 210 and a control unit 220.

The communication unit 210 may receive the measured signal from the wearable bio-electrical signal measuring instrument 100 via a communication network and transmit a cardiovascular parameter result value. Here, the communication network includes both wired and wireless communication, and the wearable bio-signal measurement device 100 and the wearable bio-signal measurement server 200 are interconnected through a communication network.

In addition, the communication unit 210 may provide a measurement history stored in the controller 220 to the user's terminal so that the bio-signal and the cardiovascular parameter measurement history measured by the controller 220, which will be described later, can be confirmed. . Here, the user terminal may be a mobile terminal that performs communication through a mobile communication network such as a smart phone, a PDA, a PC, or a smart TV, a wired terminal that performs communication through a wired communication network, a terminal that performs communication through a short- and a terminal that performs communication through a personal area network.

The control unit 220 extracts feature points based on the signal received by the communication unit 210. The feature point is a point having a common characteristic from a biological signal and can be used to calculate a cardiovascular parameter.

The control unit 220 filters and scales the signal extracted by the sensing unit 110, digitizes the signal, recognizes the repeated shape of the biological signal, recognizes the period of the waveform, calculates the differential signal, The point at which the differential value is 0, that is, the point at which the inflection point or slope is 0 can be extracted as the feature point from the maximum value. In addition, the controller 220 may calculate the energy (area) of the cardiac trajectory, the heart rate signal, the cardiac trajectory, and the heart rate differential signal through integration or accumulation.

In addition, the control unit 220 calculates cardiovascular ICT, IRT, LVET, PEP, and MPI by comparing positions, comparing intervals, comparing amplitudes, and comparing frequency characteristics using the extracted feature points.

Meanwhile, the controller 220 may store the measured biological signals and the cardiovascular parameter results in a database, and may provide a stored measurement history. For example, measured electrocardiogram, heart rate, heart ballistic waveform, and minutia information can be stored together with the user and measurement environment (such as date and time). At this time, based on the stored information, it is possible to provide a history of user measurement and analysis.

In addition, the controller 220 may provide information to the wearable bio-signal measuring device 100 according to the measured range of cardiovascular parameters. The wearable bio-signal measurement server 200 can store different information (attention food, action, recommendation exercise, etc.) to be cautious according to the range of the cardiovascular parameters of the user, Can be transmitted differently. At this time, the diagnosis and feedback determination of the user can use a table built in the server, and a result can be provided through a separate big data server connected to the outside. It may also provide diagnostic and feedback manually by a medical professional.

Before describing another embodiment of the present invention, a PHR (Personal Health Record) server receives necessary information from various medical institutions and integrates them into a plurality of distributed servers or a server. Because it is not dependent on specific medical institutions, individuals can have full control over their own health records, exchange medical information naturally, and can easily develop personalized services based on individual records .

In addition, the EMR (Electronic Medical Record) server is a medical information system that allows the physician to input all the information about the patient's clinical care directly into the computer, Information systems). The system consists of hardware such as software and office PC-reception office PC-printer-server-hub-laboratory PC, which can greatly reduce the work of medical institutions by manually sorting the patient records on paper. In particular, the process of searching the patient 's medical records and delivering them to the clinic and reconditioning the prescriptions is processed using the computer network, which reduces patient waiting time and eliminates the need for separate medical records. By establishing an electronic medical record system, it is possible to establish a basis for telemedicine services between remote patients or cooperating hospitals.

The control unit 220 receives the user's medical information (including medical record and medication information, biometric parameter information, drug reactivity, expert opinion, etc.) from the PHR server or the EMR server, The measured bio-signal and the cardiovascular parameter result are compared with the health state of the user, and the predetermined feedback can be provided to the wearable bio-signal measuring device. Therefore, the topology configuration between the server and the PHR and EMR servers is, for example, a PHR, an EMR DB-PHR, an EMR server, cloud ? Wearable bio-signal measurement server 200? Wearable bio-signal measuring instrument 100 according to the present invention. However, it is only an example, and any configuration is possible as long as the PHR, EMR server and wearable bio-signal measurement server 200 can be interlocked.

For example, the bio-signal measurement server 200 receives the health information of the user from the PHR and EMR server, stores the health state of the user in accordance with the predetermined history, the age, the medical history, The bio-signal measuring apparatus 100 receives the bio-signal, compares it with the cardiovascular parameters calculated after the analysis, and compares it with the classified health state of the user. Based on the result, May be provided to the wearable bio-signal measuring instrument 100. [

In addition, when the controller 220 receives the user's location information and emergency signal from the user's wearable bio-signal measuring device 100, the controller 220 can automatically report to the rescue unit and transmit the location information

3 is a view illustrating a wearable bio-signal measurement system according to an embodiment of the present invention.

Referring to FIG. 3, the wearable bio-signal measurement system includes a wearable bio-signal measurement device 100 and a wearable bio-signal measurement server 200.

The bio-signal measuring instrument 100 measures and stores a bio-signal without invasion of the body using at least one sensor, transmits the stored signal to the wearable bio-signal measurement server 200, 200). &Lt; / RTI > In addition, the bio-signal measuring device can detect the position information of the user, and if the abnormality is detected by measuring the bio-signal according to the predetermined period, transmits the position information of the user and the emergency signal to the wearable bio- can do.

The wearable bio-signal measurement server 200 receives the measured signals from the wearable bio-signal measurement device 100, extracts the feature points from the measured signals, and outputs the cardiovascular parameter result values calculated using the feature points to the wearable bio- And transmits it to the bio-signal measuring instrument 100. In addition, when the user's location information and emergency signal are received from the wearable bio-signal measuring device 100, the user can automatically report to the rescue party and transmit position information.

4 is a view illustrating a wearable bio-signal measurement method according to an embodiment of the present invention.

Referring to FIG. 4, at least one sensor measures and stores a living body signal without invading the body (S410), extracts characteristic points based on the measured signals (S420) After the cardiovascular parameters are calculated (S430), the calculated cardiovascular parameters are output (S440).

Thus, those skilled in the art will appreciate that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Wearable bio-signal measuring device
110:
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200: Wearable bio-signal measurement server
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Claims

A wearable bio-signal measuring instrument for extracting a cardiovascular parameter,
A sensing unit for measuring a living body signal using at least one sensor; And
A storage unit for storing the bio-signal;
Lt; / RTI >
Wherein the sensing unit is attached to the upper side of the skin without invasion of the body, and is capable of measuring at least one of electrocardiogram, cardiac trajectory, and heart rate.

The method according to claim 1,
A controller for extracting a feature point based on a signal stored in the storage unit and calculating a cardiovascular parameter using the feature point; And
A display unit for outputting the cardiovascular parameters;
Wherein the wearable bio-signal measuring device further comprises:

3. The method of claim 2,
Wherein,
Wherein a point at which the slope of the bio-signal is zero is extracted as a feature point.

The method of claim 3,
Wherein,
If the bio-signal is a cardiac trajectory, the cardinality is H, I, J, K, L, M, N and P, Q, R, , And MO points are extracted as feature points.

5. The method of claim 4,
Wherein,
Wherein a cardiovascular parameter of at least one of ICT, IRT, LVET, PEP, and MPI is derived from the position, interval, amplitude, and frequency of the extracted feature points.

3. The method of claim 2,
Wherein,
And calculating the energy of the cardiac trajectory and the cardiac progression, or the differential signal of the cardiac trajectory and the cardiac progression through integration or accumulation.

3. The method of claim 2,
Wherein,
Wherein the measured biological signal and cardiovascular parameter results are stored in a database and stored, and the stored measurement history can be provided.

3. The method of claim 2,
Wherein,
And provides the user with different information according to the measured range of cardiovascular parameters.

3. The method of claim 2,
A position information section for grasping the position information of the user;
Further comprising:
Wherein the control unit automatically reports to the rescue unit and transmits the position information to the rescue unit when the sensing unit measures the biomedical signal according to a predetermined period and detects an abnormality.

The method according to claim 1,
The sensing unit includes:
Heart rate, electrocardiogram, heart rate, and pulse wave of a living body.

The method according to claim 1,
The sensing unit includes:
Wherein the living body signal is measured while the wrist is worn on the wrist of the human body and the wrist is placed on the heart.

The method according to claim 1,
A communication unit for transmitting the stored signal to a wearable bio-signal measurement server and receiving a cardiovascular parameter result value from the wearable bio-signal measurement server;
Wherein the wearable bio-signal measuring device comprises:

13. The method of claim 12,
A position information section for grasping the position information of the user;
Further comprising:
Wherein the control unit transmits the position information and the emergency signal of the user to the wearable bio-signal measurement server when the detection unit measures the bio-signal according to a predetermined period and detects an abnormality.

A communication unit that receives a measured signal from the wearable bio-signal measuring device and transmits a cardiovascular parameter result; And
A controller for extracting feature points based on the received signals and calculating cardiovascular parameters using the feature points;
Wherein the wearable bio-signal measurement server comprises:

15. The method of claim 14,
Wherein,
Wherein a point where the slope of the bio-signal is zero is extracted as a minutiae point.

16. The method of claim 15,
Wherein,
If the bio-signal is a cardiac trajectory, the cardinality is H, I, J, K, L, M, N and P, Q, R, , And MO points are extracted as feature points.

17. The method of claim 16,
Wherein,
Wherein a cardiovascular parameter of at least one of ICT, IRT, LVET, PEP, and MPI is derived from a position, an interval, an amplitude, and a frequency of extracted minutiae.

15. The method of claim 14,
Wherein,
And calculating the energy of the cardiac trajectory and the cardiac progression, or the differential signal of the cardiac trajectory and the cardiac progression through integration or accumulation.

15. The method of claim 14,
Wherein,
And stores the measured bio-signals and cardiovascular parameter results in a database, and provides the stored measurement history to the wearable bio-signal measurement device.

20. The method of claim 19,
Wherein,
And provides the stored measurement history to the terminal of the user.

20. The method of claim 19,
Wherein,
The PHR server or the EMR server receives the medical information of the user to classify the health state of the user, compares the measured biological signal and the cardiovascular parameter with the health state of the user, and transmits a predetermined feedback to the wearable bio- Provides a wearable bio-signal measurement server.

15. The method of claim 14,
Wherein,
Wherein the wearable bio-signal measuring device provides different information to the wearer in accordance with the measured cardiovascular parameter range.

15. The method of claim 14,
Wherein,
Wherein when the communication unit receives the user's location information and emergency signal from the user's wearable bio-signal measurement device, the communication unit automatically reports to the rescue unit and transmits the location information.

A wearable biological signal measurement system for extracting a cardiovascular parameter,
A wearable bio-signal measurement device for measuring and storing a bio-signal using at least one sensor, transmitting a stored signal to a wearable bio-signal measurement server, and receiving a cardiovascular parameter result from the wearable bio-signal measurement server; And
A wearable bio-signal measurement server for receiving a measured signal from the wearable bio-signal measurement device, extracting a feature point from the measured signal, and transmitting the cardiovascular parameter result calculated using the feature point to the wearable bio-signal measurement device;
Lt; / RTI >
Wherein the sensing unit is attached to an upper portion of the skin without invasion of the body, and is capable of measuring at least one of electrocardiogram, cardiac trajectory, and heart rate.

A wearable biological signal measurement method for extracting a cardiovascular parameter,
(a) measuring and storing at least one biological signal;
(b) extracting feature points based on the measured signals;
(c) calculating a cardiovascular parameter using the characteristic point; And
(d) outputting the calculated cardiovascular parameters;
Lt; / RTI >
Wherein the sensor is attached to an upper portion of the skin without invading the body, and the at least one of the electrocardiogram, the cardiac tilt, and the heart rate can be measured.