KR102154902B1 - Heart monitoring method - Google Patents

Abstract

A cardiac monitoring method performed in a cardiac monitoring system including a user terminal and a healthcare server interconnected through a network includes: calculating a heart rate by analyzing a heart rate signal measured through a heart rate sensor in the user terminal; Determining whether the heart rate is out of a preset allowable range at the user terminal; Generating a first alarm signal at the user terminal when the heart rate is out of the allowable range; Periodically transmitting heart rate data including at least one of the heart rate signal and the heart rate from the user terminal to the healthcare server; Determining, by the healthcare server, whether the heart rate data includes a preset abnormal pattern; And when the heart rate data includes the abnormal pattern, generating a second alarm signal in the healthcare server.

Description

Heart monitoring method {HEART MONITORING METHOD}

The present invention relates to a cardiac monitoring method, and more particularly, to a cardiac monitoring method for monitoring a user's heartbeat and determining whether or not the heartbeat is normal.

Fluctuations in intraarterial pressure due to the beating of the heart and the accompanying wave of arterial vessel walls. Also known as Mac. It is usually promoted in the radial artery (橈骨動脈). The heart rate is 60 to 80 beats per minute in normal adults. Strangely many things (more than 100 times) are called tachycardia, less things (less than 50 times) are called bradycardia, and irregular vibrations are called arrhythmia.

A wearable computer called a wearable device refers to a computer in a form that can be worn such as glasses, watches, and clothing.

Korean Patent Publication No. 10-2015-0103568 relates to a portable pulse notification device, which is worn on a user's wrist to sense a pulse, calculates the pulse rate per minute in real time to generate real-time pulse rate data, and the real-time pulse rate is a preset reference pulse rate. It determines whether it is a range, and generates a pulse notification control signal when it is out of the range of the reference pulse rate.

Korean Patent Publication No. 2015-0103568 (published on January 19, 2017) "Pulse measurement and position alarm system using a wearable band"

However, the normal range of the heart rate may vary depending on the user's age, health status, and exercise status.

An object of the present invention is to provide a cardiac monitoring method capable of identifying and managing a personalized heart condition.

In order to achieve one object of the present invention, a cardiac monitoring method according to embodiments of the present invention is performed in a cardiac monitoring system including a user terminal and a healthcare server interconnected through a network. The heart monitoring method includes: calculating a heart rate by analyzing a heart rate signal measured through a heart rate sensor in the user terminal; Determining whether the heart rate is out of a preset allowable range at the user terminal; Generating a first alarm signal at the user terminal when the heart rate is out of the allowable range; Periodically transmitting heart rate data including at least one of the heart rate signal and the heart rate from the user terminal to the healthcare server; Determining, by the healthcare server, whether the heart rate data includes a preset abnormal pattern; And when the heart rate data includes the abnormal pattern, generating a second alarm signal in the healthcare server.

According to an embodiment, the determining whether the heart rate is out of the allowable range may include: setting a minimum heart rate and a maximum heart rate based on the gender, age, and reference heart rate of a user using the user terminal; And determining whether the heart rate is less than the minimum heart rate or greater than the maximum heart rate. Here, the allowable range may include the lowest heart rate and the highest heart rate.

According to an embodiment, the abnormal pattern is a first pattern representing a temporary change in a time interval between peak values of the heart rate signal, and the peak value having a magnitude greater than a reference change value and representing within a unit time. It may include a second pattern indicating the increase and decrease of the.

According to an embodiment, the determining whether the heart rate data includes the abnormal pattern may include comparing the existing heart rate data of the user with the heart rate data to calculate a heart rate change amount; And when the heart rate change amount is greater than the reference heart rate change amount, determining that the heart rate data includes the abnormal pattern.

According to an embodiment, the cardiac monitoring method may include: generating, in the health care server, a health report for the user based on the heart rate data; And transmitting, in the healthcare server, the health report to a guardian terminal used by a guardian of the user based on the user information of the user. Here, the health report may include information on whether the heart rate data includes the abnormal pattern and alarm information corresponding to at least one of the first alarm signal and the second alarm signal.

According to an embodiment, the heart monitoring method is based on an acceleration signal measured through an acceleration sensor in the user terminal between calculating the heart rate and determining whether the triple rate is out of the allowable range. Determining whether the user is active or not; When the user is active, determining an activity type of the user based on a change pattern of the acceleration signal; Determining the lowest heart rate and the highest heart rate based on the reference heart rate and the activity type; And updating a preset reference heart rate based on the heart rate when the user is not active for the reference time.

According to an embodiment, the determining of the activity type may include: when the heart rate exceeds a maximum critical heart rate, calculating a movement speed of the user based on location information obtained through a location measurement unit; When the moving speed is less than a reference speed and a change amount of the acceleration signal is less than a reference change amount, operating a microphone to obtain a sound signal for sound generated around the user terminal; Extracting the user's voice signal from the sound signal using a voice recognition algorithm; And updating the activity type based on the voice signal.

The heart monitoring method according to embodiments of the present invention measures a user's heart rate, motion, location, voice, etc., and sets/updates a user's reference heart rate based on user information (eg, gender, age, etc.) And, based on the measured signals, the user's activity status and activity type are determined to determine the user's permissible range (i.e., minimum and maximum heart rates), and the user's heart rate abnormality is determined based on the measured heart rate and the permissible range. By determining the presence or absence, it is possible to identify and manage a personalized heart condition.

However, the effects of the present invention are not limited to the above effects, and may be variously extended without departing from the spirit and scope of the present invention.

1 is a block diagram showing a cardiac monitoring system according to an embodiment of the present invention.
2 is a block diagram illustrating an example of a smart band included in the heart rate monitoring system of FIG. 1.
3A and 3B are diagrams illustrating a reference heart rate according to a user's age and health status.
4 is a graph showing heart rate over time.
5 is a flowchart illustrating a cardiac monitoring method according to embodiments of the present invention.
6 is a flow chart illustrating a method of determining whether the heart rate is normal in FIG. 5.

Since the present invention can apply various transformations and have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it is to be understood to include all conversions, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the present invention, when it is determined that a detailed description of a related known technology may obscure the subject matter of the present invention, a detailed description thereof will be omitted.

Terms such as first and second may be used to describe various components, but the components should not be limited by the terms. These terms are used only for the purpose of distinguishing one component from another component.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof does not preclude in advance. Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing a cardiac monitoring system according to an embodiment of the present invention.

Referring to FIG. 1, the cardiac monitoring system 100 may include a smart band 110, a user terminal 120, and a healthcare server 130. The smart band 110 may be connected to the user terminal 120 through a wireless network, and the user terminal 120 may be connected to the recommendation server 130 through a wired or wireless network. In addition, the smart band 110 may be directly connected to the recommendation server 130 through a wireless network.

The smart band 110 has an elastic band shape and is worn on the user's body (eg, wrist), and may generate a heartbeat signal by measuring the user's heartbeat (hereinafter, referred to as “heartbeat”). In addition, the smart band 110 may calculate the user's heart rate based on the heart rate signal. For example, the smart band 110 may extract a peak value of a heart rate signal and calculate a heart rate per minute based on the number of peak values within 1 minute. The smart band 110 may transmit heart rate data including at least one of a heart rate signal and a heart rate to the user terminal 120 through a short-range wireless communication network (eg, Bluetooth, WiFi).

A detailed configuration and function of the smart band 110 will be described later with reference to FIG. 2.

The user terminal 120 may determine whether the heart rate is out of a preset allowable range (ie, whether the heart is normal). Here, the allowable range (or normal range) means a normal range of the heart rate, and may include a minimum heart rate and a maximum heart rate indicating the boundary of the normal range.

For reference, the user's normal heart rate may vary depending on the user's gender, age, health status, and exercise. Accordingly, the user terminal 120 sets a reference heart rate (e.g., a heart rate in a state in which the user is not active, a heart rate during sleep) based on the user's gender, age, and health state, and based on the reference heart rate You can set the acceptable range for each type of activity (i.e., the lowest heart rate and the highest heart rate). For example, the permissible range may be calculated by multiplying the reference heart rate by a preset rate range for each activity type (eg, walking, running, conversation, etc.).

The user's reference heart rate is periodically updated, and accordingly, the minimum heart rate and the maximum heart rate (or allowable range) for each activity type may be updated.

The user terminal 120 may generate a first alarm signal when the heart rate is out of the allowable range. As will be described later, the user terminal 120 uses various sensors (eg, GPS sensor, acceleration sensor, microphone, etc.) to determine the user's activity and activity type, and determines an allowable range corresponding to the activity type. And, based on the heart rate, it is possible to determine whether the user's heart is abnormal. The user terminal 120 may provide an alarm (eg, vibration, sound, message, etc.) to the user based on the first alarm signal.

Meanwhile, the user terminal 120 is a mobile phone, a smart phone, a laptop computer, a navigation system, a slate PC, a tablet PC, an ultrabook, and a wearable device. device), and may be implemented as an electronic device such as a computer. The user terminal 120 may receive and check heart rate data by an application capable of managing the smart band 110.

The healthcare server 130 may analyze heart rate data received from the user terminal 120 (or the smart band 110) to determine whether the user's heart is abnormal.

For example, the health care server 130 may determine whether the heart rate data includes an abnormal pattern, and when the heart rate data includes an abnormal pattern, determine that there is an abnormality in the heart. Here, the abnormal pattern is a pattern of a heart rate signal corresponding to tachycardia, arrhythmia, etc., for example, a temporary change in the time interval between peak values of the heart rate signal (e.g., the heart is temporarily slow or rapidly Beating pattern), the increase and decrease of the peak values that have a magnitude greater than the reference change value within a unit time (e.g., a phenomenon in which blood flow rapidly increases and then decreases or decreases and then increases in the form of an impulse signal). I can. In addition, abnormal patterns can be acquired and updated from papers, journals, etc., or through data analysis on them.

For another example, the health care server 130 compares the user's existing heart rate data (i.e., data previously stored and acquired at a past time point) with heart rate data (ie, heart rate data acquired at the current time point), and For example, in the same activity type (or activity state), if the current heart rate increase or decrease compared to the past heart rate) is calculated, and the heart rate change amount is greater than the reference heart rate change amount, it may be determined that the heart rate data includes an abnormal pattern.

That is, the health care server 130 may more accurately determine the user's heart state by analyzing whether the user's heart rate data includes an abnormal pattern and/or a change in the user's heart rate data.

Meanwhile, the healthcare server 130 may generate a second alarm signal when the heart rate data includes an abnormal pattern (ie, when it is determined that there is an abnormality in the user's heart). The second alarm signal is provided to the user terminal 120 (or the smart band 110), and the user terminal 120 (or, the smart band 110) alarms the user based on the second alarm signal (or , Warning information) can be provided. The healthcare server 130 may provide a second alarm signal (eg, an emergency signal) to the guardian terminal 140 used by the guardian of the user.

In addition, the healthcare server 130 stores and analyzes heart rate data to generate a health report for the user periodically or when an event occurs (for example, when it is determined that an abnormality occurs in the user's heart), and the user terminal 120 ) And/or may be transmitted/provided to the guardian terminal 140. Here, the health report may include data measured/collected by the smart band 110 (eg, data on the location of the smart band 110, the user's movement, and heart rate). In addition, the health report includes information on whether the user's heart is normal (eg, whether heart rate data includes an abnormal pattern), a first alarm signal (ie, analysis result of the user terminal 120), and 2 It may include alarm information corresponding to at least one of the alarm signals (ie, the analysis result of the healthcare server 130).

As described with reference to FIG. 1, the user terminal 120 determines a user's reference heart rate based on user information (eg, gender, age, state), and further, an allowable range for each user's activity type (or, Maximum and minimum heart rates), and the presence or absence of heart abnormalities for each user can be accurately identified based on the allowable range for each activity type. In addition, the health care server 130 may secondarily analyze the heart rate data using the abnormal pattern and the user's past heart rate data, so that the presence or absence of the user's heart abnormality may be more accurately identified.

Meanwhile, in FIG. 1, the smart band 110 and the user terminal 120 are shown separately, but the present invention is not limited thereto. For example, the user terminal 120 may be implemented by being integrated into the smart band 110.

2 is a block diagram illustrating an example of a smart band included in the heart rate monitoring system of FIG. 1. 3A and 3B are diagrams illustrating a reference heart rate according to a user's age and health status. 4 is a graph showing heart rate over time.

First, referring to FIG. 2, the smart band 110 may include a measurement unit 210, a determination unit 220, a communication unit 230, a storage unit 240, and a control unit 250.

The measurement unit 210 may include a heart rate sensor 211, a position sensor 212, an acceleration sensor 213, and a microphone 214.

The heart rate sensor 211 may measure a user's heart rate (or heart rate signal). The period during which the ventricle contracts is called the systole, and the period during which the ventricle relaxes is called the diastole. This series of events is called the cardiac cycle, and about 70 cycles are repeated for 1 minute. This is called the heart rate (HR) or heart rate. An electrocardiogram (ECG) is a result of detecting, amplifying, and recording electrical changes caused by heart muscle contraction with electrodes attached to the skin, and it is possible to record an electrocardiogram instead of measuring the heart rate. The heart rate sensor 211 detects the shaking of blood vessels as an electrical signal, and the heart rate may be calculated from the detected electrical signal.

There are a number of blood vessels on the user's wrist. Blood vessels are channels through which blood flows, and blood flows to all blood vessels in the body by the pumping of the heart. Because blood flows into the blood vessels by the pumping of the heart, the blood vessels can fluctuate in a wave-like waveform. In the interval between the pumping vagina in the heart, blood vessels may have a small width of irregularities. On the other hand, when pumping in the heart, blood vessels may have a large unevenness. Accordingly, the amount of light reflection and the angle of reflection are different due to the small width irregularities generated in the section between the pump quality and the large width irregularities generated during the pump quality. The amount of light received by the sensing unit varies according to the amount of reflection and angle of reflection, and electric signals of different sizes may be output by the different amounts of light. To this end, the heart rate sensor 211 may include a light emitting unit and a light receiving unit. The light emitting unit may include a light emitting device, and the light receiving unit may include a light receiving device. The degree of reflection of the light emitted from the light emitting portion is different depending on the width of the irregularities of the blood vessels. Reflected light differently reflected as described above is detected by the light receiving unit, and the reflected light thus detected may be converted into an electric signal. That is, an electrical signal corresponding to the user's heartbeat may be generated by the heart rate sensor 211.

The location sensor 212 may generate location information of the smart band 110. For example, the location sensor 212 may acquire location information of the smart band 110 based on GPS or WiFi (or wireless AP information).

The acceleration sensor 213 may detect an increase or decrease in speed in one direction, and detect an angle amount of rotation of an object based on one axis (it may function as a gyroscope sensor). The motion of the smart band 110 is recognized using the acceleration sensor 213, and the type of activity of the user may be determined according to the motion type of the smart band 110.

The microphone 214 may generate a sound signal by detecting sound around the smart band 110. The user's voice signal may be detected based on the sound signal, and the user's activity type may be determined based on the user's voice signal.

The determination unit 220 may determine whether the heart rate measured/calculated by the heart rate sensor 211 is out of an allowable range (ie, whether the heart rate is normal). Here, the allowable range may be set for each user's activity type based on a reference heart rate (eg, normal heart rate during sleep) as described above.

In an embodiment, the determination unit 220 may determine a reference heart rate based on the user's gender, age, and health status, and may set a minimum heart rate and a maximum heart rate for each activity type based on the reference heart rate.

3A and 3B may be referred to for explanation of the reference heart rate. FIG. 3A shows the reference heart rate for men, and FIG. 3B shows the reference heart rate for women.

Referring to FIG. 3A, in the case of a male, the reference heart rate (or resting heart rate) may decrease as the healthy person is. For example, if the age is 18 to 25 years old, a person with average health has a reference heart rate of 70 to 73, but a poor person has a resting heart rate of 82 or more, and an athlete is the standard. The heart rate can be between 49 and 55.

Similarly, as shown in FIG. 3B, even in the case of women, the reference heart rate may decrease as a healthy person. Under the same conditions, men may have a lower baseline heart rate than women.

The determination unit 220 may set a critical range (or a maximum critical heart rate) and an allowable range for each activity type (or minimum and maximum heart rates) based on the reference heart rate.

For example, the threshold range may be set to a range of 5% (or 10%) of the reference heart rate. When the reference heart rate is 60, the threshold range may be 57 to 63, which is a range of 5% of the reference heart rate. The determination unit 220 may operate the microphone 214 when the heart rate exceeds the threshold range and the sensing value of the acceleration sensor 213 (or the user's motion calculated based on this) is less than or equal to the reference value.

The activity type may be divided into conversation, exercise 1 (eg, light exercise such as walking), exercise 2 (eg, exercise with relatively high intensity such as running), and the like.

For example, the allowable range for conversation among the activity types may be set to a range of 0% to 20% of the reference heart rate. When the reference heart rate is 60, the minimum heart rate for conversation may be 60, and the maximum heart rate may be 72.

For another example, the allowable range for exercise 2 among the activity types may be set to a range of 60% to 100% of the reference heart rate. When the reference heart rate is 60, the minimum heart rate for exercise 2 may be 96, and the maximum heart rate may be 120.

The determination unit 220 may generate a first alarm signal when the heart rate is out of the allowable range.

In an embodiment, the determination unit 220 may determine whether the user is active based on the acceleration signal (or user motion) of the acceleration sensor 213.

When determining that the user is active, the determination unit 220 is based on an acceleration signal (or user motion) of the acceleration sensor 213, location information of the position sensor 212, and a sound signal of the microphone 214. This allows the user to determine the type of activity.

First, the determination unit 220 may determine a user's activity type based on a change pattern of an acceleration signal.

For example, when the change in the acceleration signal corresponds to the pendulum movement of the user's hand when the user walks, the determination unit 220 may determine the user's activity type as exercise 1 (eg, walking). For another example, when the change in the acceleration signal corresponds to the pendulum movement of the user's hand when the user runs, the determination unit 220 may determine the user's activity type as exercise 2 (eg, running). For another example, when the change in the acceleration signal corresponds to the user's squat exercise posture, the determination unit 220 may determine the user's activity type as exercise 3.

Meanwhile, when the change in the acceleration signal does not exceed the reference value (ie, the hand movement is not large), the determination unit 220 may determine the user's activity type based on the user's location information. For example, the determination unit 220 calculates the user's moving speed based on the change in the user's location information, and determines if the user's moving speed is within the reference speed range (for example, within 10km to 30km). The unit 220 may determine the user's activity type as exercise 4 (eg, riding a bicycle).

In addition, when the moving speed is less than the reference speed (for example, 4KM) and the change in the acceleration signal is less than the reference change amount (that is, the movement of the user's hand is not large), the user communicates. By checking whether it is on, the user's activity type can be determined as conversation. For example, by operating a microphone, a sound signal for sound generated around the user is obtained, and a speech recognition algorithm (e.g., the natural frequency of the voice is compared with the natural frequency of the user's voice, A user's voice signal is extracted from the sound signal using a confirmation algorithm, etc.), and if the voice signal exceeds a reference value or is confirmed for more than a reference time, it can be determined that the user is in conversation or in a lecture.

In an embodiment, the determination unit 220 may predict a user's activity type based on the user's location information. For example, the determination unit 220 stores the action type determined through the analysis of the measured signals together with the user's location information, and when the same location information and action type are repeatedly stored, based on the user's location information You can determine the type of behavior. For example, even if it is not a house or company registered in the user information, the determination unit 220 identifies a gym, coffee shop, etc. in which the user is repeatedly located, and the user's behavior type (e.g., exercise, Conversation, etc.)

In one embodiment, when the user is not active for a reference period of time (eg, for 1 hour or more), the determination unit 220 determines that the user is sleeping, and the heart rate measured during sleep (eg, average heart rate) ), the reference heart rate can be updated. As described above, since the reference heart rate varies according to the user's age, health status, etc., the reference heart rate may be periodically updated. Therefore, more optimized monitoring for the user may be possible.

In an embodiment, the determination unit 220 (or the controller 250) may control the operation of the measurement unit 210 based on the heart rate. Regarding the operation control of the measurement unit 210, FIG. 4 may be referred to.

Referring to FIG. 4, the determination unit 220 may always operate the heart rate sensor 211 and may periodically operate the acceleration sensor 213. On the other hand, at the first time point T1 when the heart rate HR_S is out of the threshold range R_TH, when the change amount of the acceleration sensor is smaller than the reference change amount, the determination unit 220 uses the position sensor 212 and the microphone 214 Can be operated. On the other hand, when a change in the user's position is confirmed by the position sensor 212, the operation of the microphone 214 is stopped, and when a change in the user's position is not confirmed by the position sensor 212, the operation of the position sensor is stopped. I can.

When the user's activity type is determined based on the signals measured by the measurement unit 210, the allowable range (R_NORMAL) (or, the minimum heart rate (HR_L) and the maximum heart rate (HR_H)) is determined or updated (changed), The determination unit 220 may determine whether the heartbeat is normal (or abnormally) based on the allowable range R_NORMAL.

As described above, the analysis unit 220 sets/updates the user's reference heart rate, determines whether the user is active or not, based on the measured signals, and determines the user's allowable range (i.e., minimum and maximum heart rates). ), and it is possible to determine whether or not the user's heart rate is abnormal based on the measured heart rate and the allowable range.

Referring back to FIG. 2, the communication unit 230 may transmit and receive a wireless signal to and from the user terminal 120 and/or the healthcare server 130 through a wireless network. For example, the communication unit 230 is a Bluetooth Bluetooth), RFID (Radio Frequency Identification), Infrared Data Association (IrDA), UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), Wi-Fi (Wireless-Fidelity), Wi-Fi Direct, Wireless Short-distance communication may be supported by using at least one of USB (Wireless Universal Serial Bus) technologies.

The storage unit 240 may be implemented as a memory device or the like, and may store data supporting various functions of the smart band 110 (or the user terminal 120) 1. The storage unit 240 may store a plurality of application programs or applications, data for the operation of the smart band 110 (or the user terminal 120), and commands. At least some of these application programs may be downloaded from an external server through wireless communication.

In addition to the operation related to the application program, the controller 250 may control the overall operation of the smart band 110 (or the user terminal 120). The control unit 250 processes signals, data, information, etc. input or output through components such as the measurement unit 210, the determination unit 220, the communication unit 230, and the storage unit 240, or the storage unit 240 By running the application program stored in ), it is possible to provide or process information or functions appropriate to the user.

The controller 2500 may generate status information including identification information of the smart band 110 and measurement data received from the measurement unit 210, and transmit the status information to the healthcare server 130.

Although not shown in FIG. 2, the smart band 110 may further include an output unit. The output unit is for generating output related to visual, auditory or tactile sense, and may include at least one of a display, an audio output unit, a haptic module, and a light output unit.

As described with reference to FIGS. 2 to 4, the smart band 110 (or user terminal 120) measures the user's heart rate, motion, location, voice, etc., and sets/updates the user's reference heart rate, , Based on the measured signals, the user's activity status and activity type are determined to determine the user's permissible range (i.e., minimum and maximum heart rates), and the user's heartbeat is abnormal based on the measured heart rate and the permissible range. Can judge. Accordingly, the heart monitoring system 100 may identify and manage a heart condition for each user.

Meanwhile, in FIG. 2, it has been described that the smart band 110 includes the determination unit 220, but is not limited thereto. For example, the determination unit 220 may be included in the user terminal 120, set a reference heart rate and an allowable range in the user terminal 120, and determine whether the user's heart rate is normal.

5 is a flowchart illustrating a cardiac monitoring method according to embodiments of the present invention. 6 is a flow chart illustrating a method of determining whether the heart rate is normal in FIG. 5.

1, 5 and 6, the method of FIG. 5 may be performed in the cardiac monitoring system 100 of FIG. 1.

The smart band 110 may measure the user's heart rate (S510). As described with reference to FIG. 2, the heart rate may be measured through the heart rate sensor 211 of the smart band 110.

In addition, the smart band 110 obtains the user's location information through the position sensor 212, obtains an acceleration signal (or user's motion information) through the acceleration sensor 213, and through the microphone 214 It is also possible to obtain a sound signal.

The smart band 110 may calculate the user's heart rate by analyzing the measured heart rate, that is, a heart rate signal (S520). For example, the smart band 110 may extract peak points of the heart rate signal and calculate a heart rate based on the number of peak points within a unit time. The calculated heart rate may be displayed to the user through the display module of the smart band 110.

Thereafter, the smart band 110 may provide heart rate data including at least one of a heart rate signal and a heart rate to the user terminal 120 (S530). At the same time, heart rate data may be provided to the healthcare server 130. Alternatively, when the smart band 110 analyzes the heart rate to determine whether the heart rate is normal, the user terminal 120 may include the heart rate analysis result in the heart rate data and provide it to the healthcare server 130. .

The user terminal 120 determines whether the heart rate is out of a preset allowable range (S540), and when the heart rate is out of the allowable range, may generate a first alarm signal (S550). That is, the user terminal 120 may determine whether the user's heartbeat is normal, and may generate an alarm when there is an abnormality in the heartbeat.

In embodiments, the user terminal 120 may determine a user's reference heart rate and an allowable range (ie, minimum and maximum heart rates) before determining whether the user's heart rate is normal.

Referring to FIG. 6, the user terminal 120 may determine a reference heart rate based on the user's gender and age (S610). The reference heart rate may be set based on the table described with reference to FIGS. 3A and 3B. After the reference heart rate is initially set, it may be updated based on the measured resting heart rate.

The user terminal 120 may determine whether the user is active based on the acceleration signal measured through the acceleration sensor 211. For example, the user terminal 120 determines that the user is active when the amount of change in the acceleration signal (for example, the amount of change in accumulated change) is greater than the amount of change in the reference acceleration (S610), and the amount of change in the acceleration signal is greater than the amount of change in the reference acceleration. If it is small, it can be determined that the user is not active (eg, at rest).

When it is determined that the user is active, the user terminal 120 may determine the user's activity type based on a change pattern of the acceleration signal (S620).

As described with reference to FIG. 2, the user's activity may be classified into a plurality of types (eg, conversation, walking, running, etc.), and the activity type may correspond to the above types.

Thereafter, the user terminal 120 may determine the maximum and minimum heart rates based on the user's activity type (S630). As described with reference to FIG. 2, the maximum and minimum heart rates for each activity type may be determined using a preset heart rate rate or a preset calculation formula.

On the other hand, when the user terminal 120 determines that the user is not active, it accumulates the time the user is not active, and it is possible to determine whether the accumulated time exceeds a reference time (for example, 1 hour). Yes (S640).

When the user is not active during the reference time, the user terminal 120 may update a preset reference heart rate based on the heart rate (or the average heart rate during an inactive time) (S650).

Referring back to FIG. 5, the healthcare server 130 may determine whether the heart rate data includes a preset abnormal pattern (S560). As described above, the abnormal pattern is a pattern of a heart rate signal corresponding to tachycardia, arrhythmia, etc., for example, a temporary change in time interval between peak values of the heart rate signal (e.g., the heart is temporarily A pattern that runs slowly or quickly), an increase or decrease in the peak values that are larger than the reference change value within a unit time (e.g., a phenomenon in which blood flow rapidly increases and then decreases or decreases and then increases in the form of an impulse signal) It may include. In addition, abnormal patterns can be acquired and updated from papers, journals, etc., or through data analysis on them.

In one embodiment, the health care server 130 compares the user's existing heart rate data and heart rate data to calculate a heart rate change amount, and when the heart rate change amount is greater than the reference heart rate change amount, it is determined that the heart rate data includes an abnormal pattern. I can.

When the heart rate data includes an abnormal pattern, the healthcare server 130 may determine that there is an abnormality in the user's heart and generate a second alarm signal (S570). Together with the second alarm signal, the healthcare server 130 may generate a heart rate data analysis result (or a health report). Here, the health report may include data measured/collected by the smart band 110 (eg, data about the location of the smart band 110, the user's movement, and heart rate). The health report may be generated when the second alarm signal is generated (ie, when an event occurs) and periodically (eg, weekly, monthly, etc.).

The second alarm signal and analysis result may be transmitted to the user terminal 120 and provided to the user. In addition, the second alarm signal and analysis result may be transmitted to the guardian terminal 140 used by the guardian of the user and provided to the guardian. According to the user's request, the analysis result may be provided to a doctor designated by the user, and in this case, it may be helpful for the user to determine a heart disease through collaboration with a cardiologist.

Meanwhile, an abnormal pattern (e.g., a peculiar pattern appearing in the process of comparing the user's past heart rate data and the current heart rate data) identified or derived through heart rate data analysis in the healthcare server 130 is stored as one of the abnormal patterns. , It may be used to determine whether the heart rate data of other users is abnormal.

As described with reference to FIGS. 5 and 6, the heart monitoring method measures the user's heart rate, motion, location, voice, etc., and based on user information (eg, gender, age, etc.), the user's reference heart rate The user's permissible range (i.e., minimum and maximum heart rates) is determined by setting/updating and determining the user's activity and activity type based on the measured signals, and based on the measured heart rate and the allowable range, the user It is possible to determine whether there is an abnormality in the heart rate of Accordingly, the cardiac monitoring method can identify and manage the heart condition for each user.

Above, the indoor exercise machine according to the embodiments of the present invention has been described with reference to the drawings, but the above description is illustrative and modified by a person having ordinary knowledge in the relevant technical field without departing from the technical idea of the present invention. And may be changed.

100: heart monitoring system
110: smart band
120: user terminal
130: healthcare server
140: guardian terminal
210: measuring unit
211: heart rate sensor
212: position sensor
213: acceleration sensor
214: microphone
220: judgment unit
230: communication department
240: storage unit
250: control unit

Claims (7)

In a cardiac monitoring method performed in a cardiac monitoring system including a user terminal and a healthcare server interconnected through a network,
Calculating a heart rate by analyzing a heart rate signal measured through a heart rate sensor in the user terminal;
Determining whether the heart rate is out of a preset allowable range at the user terminal;
Generating a first alarm signal at the user terminal when the heart rate is out of the allowable range;
Periodically transmitting heart rate data including at least one of the heart rate signal and the heart rate from the user terminal to the healthcare server;
Determining, by the healthcare server, whether the heart rate data includes a preset abnormal pattern; And
When the heart rate data includes the abnormal pattern, generating a second alarm signal in the healthcare server,
The step of determining whether the heart rate is out of the allowable range,
Setting a minimum heart rate and a maximum heart rate based on the gender, age, and reference heart rate of a user using the user terminal; And
Determining whether the heart rate is less than the minimum heart rate or greater than the maximum heart rate,
The allowable range includes the lowest heart rate and the highest heart rate,
Between calculating the heart rate and determining whether the triple rate is out of the allowable range,
Determining whether the user is active based on the acceleration signal measured by the acceleration sensor in the user terminal;
When the user is active, determining an activity type of the user based on a change pattern of the acceleration signal;
Determining the lowest heart rate and the highest heart rate based on the reference heart rate and the activity type; And
When the user is not active for a reference time, updating a preset reference heart rate based on the heart rate.
delete The method of claim 1, wherein the abnormal pattern is a first pattern indicating a temporary change in a time interval between peak values of the heart rate signal, and the peak value having a magnitude greater than a reference change value and displayed within a unit time. Cardiac monitoring method comprising a second pattern indicating the increase and decrease of the.
The method of claim 3, wherein determining whether the heart rate data includes the abnormal pattern,
Calculating a heart rate change amount by comparing the user's existing heart rate data with the heart rate data; And
If the heart rate change amount is greater than the reference heart rate change amount, determining that the heart rate data includes the abnormal pattern.
The method of claim 4,
Generating, in the healthcare server, a health report for the user based on the heart rate data; And
The healthcare server further comprises transmitting the health report to a guardian terminal used by the guardian of the user based on the user information of the user,
Wherein the health report includes information on whether the heart rate data includes the abnormal pattern and alarm information corresponding to at least one of the first alarm signal and the second alarm signal.
delete The method of claim 1, wherein determining the activity type comprises:
If the heart rate exceeds the highest critical heart rate, calculating a movement speed of the user based on the location information obtained through a location measuring unit;
When the moving speed is less than a reference speed and a change amount of the acceleration signal is less than a reference change amount, operating a microphone to obtain a sound signal for sound generated around the user terminal;
Extracting the user's voice signal from the sound signal using a voice recognition algorithm; And
And updating the activity type based on the voice signal.

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