KR101821858B1 - A mehthod of measuring a resting heart rate - Google Patents
A mehthod of measuring a resting heart rate Download PDFInfo
- Publication number
- KR101821858B1 KR101821858B1 KR1020150111881A KR20150111881A KR101821858B1 KR 101821858 B1 KR101821858 B1 KR 101821858B1 KR 1020150111881 A KR1020150111881 A KR 1020150111881A KR 20150111881 A KR20150111881 A KR 20150111881A KR 101821858 B1 KR101821858 B1 KR 101821858B1
- Authority
- KR
- South Korea
- Prior art keywords
- heart rate
- heartbeat
- resting
- user
- measured
- Prior art date
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
- G01P15/18—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Cardiology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Physiology (AREA)
- Medical Informatics (AREA)
- Veterinary Medicine (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Physics & Mathematics (AREA)
- Dentistry (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The resting heart rate measuring method measures a user's heart rate and determines whether at least one of the heart rate and motion information meets a condition for measuring a resting heart rate and at least one of heart rate and motion information satisfies a condition for measuring a resting heart rate , The measured heart rate is determined as the resting heart rate.
Description
The present invention relates to a method for measuring resting heart rate with high accuracy.
As the quality of life increases, interest in health is also increasing.
In particular, heart beat is a very important health indicator. The heartbeat depends on the behavior of the individual in daily life, whether it is walking, running or not. The heartbeat also varies daily for the same person depending on the person's health condition.
Since the heart rate varies according to various situations, it is difficult to set the heart rate fluctuating from time to time as a reference heart rate to check an individual's health.
Therefore, the setting of the reference heartbeat is very important in order to accurately check the individual's health.
Recently, a resting heart rate has been suggested as a reference heartbeat.
A resting heartbeat is a heartbeat measured in a special situation, not moving and psychologically calm. Therefore, the individual's health check can be accurately performed through the relaxation heartbeat.
However, the resting heartbeat is measured in a special situation, and a device or a method for measuring the resting heartbeat with high accuracy without error is not yet presented while grasping such a special situation.
The present invention is directed to solving the above-mentioned problems and other problems.
Another object of the present invention is to provide a method for measuring a resting heart rate by measuring a resting heart rate by judging a situation where a resting heart rate can be measured by itself.
Another object of the present invention is to provide a method for measuring resting heart rate with high accuracy.
According to an aspect of the present invention, there is provided a method for measuring a resting heart rate in a relaxation heart rate measuring apparatus including a heart rate sensor, an acceleration sensor, and a display unit. The method of measuring resting heart rate comprises: inputting a heart rate of a user measured from the heart rate sensor; Inputting motion information of the user detected by the acceleration sensor; Determining whether at least one of the measured heart rate and the detected motion information satisfies a condition for measuring a resting heart rate; And determining the measured heartbeat to be a resting heartbeat if at least one of the measured heartbeat and the detected motion information satisfies the condition for the relaxation heartbeat measurement.
The effect of the resting heart rate measuring method according to the present invention is as follows.
According to at least one of the embodiments of the present invention, when a state of motion after sleeping or everyday life is detected, the heart rate measuring device itself measures the heart rate, determines the measured heart rate as a rest heart rate and sets it as a reference heart rate . In particular, the reference heart rate set in everyday life can be obtained by judging whether the average value of the heart rate fluctuation, the degree of heart rate variability, the degree of opening between the maximum peak heart rate and the minimum peak heart rate, and the average value of the heart rate peak are located between the minimum heart rate and the maximum heart rate have. Therefore, it is possible to measure the heartbeat with high accuracy without error by eliminating the error in the heartbeat measurement, thereby improving the reliability of the user's product.
According to at least one of the embodiments of the present invention, since the user can measure the resting heartbeat automatically in a situation satisfying the heartbeat measuring condition, there is an advantage that the user does not need to separately operate for measuring the resting heartbeat.
Figure 1 is a chart depicting resting heart rate under various conditions.
2 is a block diagram illustrating a watch-type mobile terminal according to the present invention.
FIG. 3A is a perspective view showing an example of a watch-type mobile terminal according to the present invention, and FIG. 3B is a perspective view showing another example of a watch-type mobile terminal related to the present invention.
4 is a flowchart illustrating a method for measuring a resting heart rate according to a first embodiment of the present invention.
FIG. 5 is a graph showing changes in diastolic blood pressure before and after sleeping and during sleep.
FIG. 6 is a flowchart illustrating a method for measuring a resting heart rate according to a second embodiment of the present invention.
7 is a view showing a heart rate measured in a predetermined time unit.
8A is a diagram showing the minimum and maximum heart rate.
8B is a view showing a state in which a part of the minimum and maximum heartbeats is removed.
FIG. 9 is a graph showing a relationship between an average value of heart rate peaks and a predetermined minimum heart rate and a maximum heart rate.
FIG. 10 shows a state in which a change in the discontinuous beating heart is checked and countermeasures are taken accordingly.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals are used to designate identical or similar elements, and redundant description thereof will be omitted. The suffix "module" and " part "for the components used in the following description are given or mixed in consideration of ease of specification, and do not have their own meaning or role. In the following description of the embodiments of the present invention, a detailed description of related arts will be omitted when it is determined that the gist of the embodiments disclosed herein may be blurred. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed. , ≪ / RTI > equivalents, and alternatives.
Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.
It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.
The singular expressions include plural expressions unless the context clearly dictates otherwise.
In the present application, the terms "comprises", "having", and the like are used to specify that a feature, a number, a step, an operation, an element, a component, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.
The resting heart rate measuring device of the present invention can be implemented as a wearable device. A wearable device includes a watch-type mobile terminal, a glass-type mobile terminal, a neckband-type mobile terminal, a bracelet-type mobile terminal, and a bracelet-type mobile terminal.
The wearable device equipped with the device for measuring resting heart rate of the present invention is worn on the wearer's wrist and the rest heart rate can be measured.
Alternatively, the resting heart rate measuring device of the present invention may be implemented separately from the wearable device.
The resting heart rate may be different depending on sex or health condition, as shown in Fig.
As shown in Fig. 1A, in the case of male, the resting heartbeat can be smaller as a healthy person. For example, if the age is between 18 and 25, the person with averaged health has a resting heart rate of 70 to 73, while a poor person with a resting heart rate is above 82 and athlete has a rest The heart rate may be between 49 and 55.
Likewise, as shown in FIG. 1B, in the case of a woman, a healthy person may have a smaller resting heartbeat.
In addition, men have lower resting heart rate than women in the same conditions.
The relaxation heartbeat can be used as follows.
First, resting heartbeats can be used as a basis for individual health indicators.
For example, if the measurement of the resting heart rate is accurate without error, the resting heart rate can be measured by the resting heart rate measuring device if it is loaded on the resting heart rate measuring condition every day or from time to time. The measured resting heartbeats are stored in the database, and various key indicators can be calculated by the Big Data algorithm. For example, if the user's normal resting heart rate is 60 and the measured resting heart rate is more than 100, it gives a danger signal to the user's health and the user can visit the hospital promptly.
Second, resting heartbeat can be used as a reference heartbeat when measuring physical fitness.
For example, when the user wakes up one morning in the morning, if the resting heartbeat is measured to be, for example, 5 to 10 times higher than a normal resting heartbeat, the user may experience a cold, stress, or tired state, It means that the health condition is not good, so the user can take a rest without exercising on the same day.
As another example, if the user's heart rate measured in the morning is set to be the reference heart rate, and the measured resting heart rate is higher than the reference heart rate by 5 or more, the user's health is not good It can mean.
Third, a resting heartbeat can alert the user to health hazards during exercise or at normal times, giving an alarm or alert.
For example, when the reference heart rate is set as described above, an alarm may be given to the user when the rest heart rate is higher than the reference heart rate by, for example, 5 or more on a particular day. Alternatively, when the resting heart rate is higher than a reference heart rate, for example 20 to 30 or more, on a particular day, a risk warning is given to the user while a danger warning message is immediately transmitted to the relevant public agency such as a fire department or emergency control sensor .
For example, even if the reference heartbeat is not set, if the resting heartbeat is overly high, such as 100 or more, on a particular day, a message related to the warning may be immediately transmitted to the relevant public agency, such as a fire department or emergency control sensor.
Hereinafter, for convenience of description, a resting heart rate measuring apparatus is described as being implemented in a watch-type mobile terminal (100 of FIG. 2), but the resting heart rate measuring apparatus of the present invention may be implemented by other mobile terminals .
According to the present invention, when only the watch-type
2 is a block diagram illustrating a watch-type mobile terminal according to the present invention.
The watch-type
The
The
The
The
The short-
The
The
The
The
The
The
The
There are many blood vessels in the user's finger. A blood vessel is a passage through which blood flows, and blood flows to all the blood vessels of the body by the pumping of the heart. Because the blood flows into the blood vessels by the pumping of the heart, the blood vessels can swirl like wave-like waves.
In the interval between pumping in the heart, the blood vessels may have small width irregularities. On the other hand, when pumping in the heart, the blood vessels can have large irregularities.
Therefore, the reflection amount and the reflection angle of light are different due to the small width irregularities generated in the interval between the pump materials and the large irregularities generated in the pump. The amount of light received by the light sensing unit varies depending on the reflection amount and the reflection angle, and electric signals of different sizes can be output by the different amounts of light.
For this, the
The
The wear detection sensor 144 is for detecting wear of the watch-type
The wear detection sensor 144 can be always operated.
When the watch-type
If the watch-type
For example, the
The
The
The
The
The
The
The
The
In addition, the
The
At least some of the above components may operate in cooperation with one another to implement the operation, control, or control method of the watch-type
FIG. 3A is a perspective view showing an example of a watch-type mobile terminal according to the present invention, and FIG. 3B is a perspective view showing another example of a watch-type mobile terminal related to the present invention.
3A and 3B, the functions of the remaining components are the same except that the shape of the
The shape of the
3A and 3B, a watch-type
The
A
The
The
The
The
As another example, the
Hereinafter, a method of measuring a heart rate using the watch-type
Although not shown in FIGS. 4 and 6, the
When the watch-type
When the watch-type
4 is a flowchart illustrating a method for measuring a resting heart rate according to a first embodiment of the present invention.
The resting heart rate measuring method shown in FIG. 4 can be measured after the user wakes up from the surface of the water.
Referring to FIGS. 2 and 4, the minimum heart rate and the maximum heart rate can be set (S311).
The minimum heart rate can be set to 30. A minimum heart rate of 30 may be a smaller value than the least heart rate athlete. Typically, as shown in FIG. 1A, the heart rate of a male athlete between 18 and 25 may be 49 to 55.
The maximum heart rate can be obtained by subtracting age from 220 and multiplying by 0.8. For example, the maximum heart rate of a person aged 46 may be (220-46) * 0.8 = 139.2. As such, the maximum heart rate may vary with age.
The
The user can be grasped by the
If the heart rate is measured in advance, the heart rate measured from the
The
It can be grasped that the user is sleeping based on the movement of the user calculated based on the acceleration signal detected from the
When it is determined that both the heartbeat measured by the
On the other hand, the heart rate can be less than 30 when the user is sleeping. Such heart rate is smaller than the minimum heart rate set in S311.
If the heartbeat from the user detected by the
If it is determined that the user is not in the sleep state, the process moves to S323 of FIG. 6 and the heart rate can be measured in a predetermined time unit, for example, in units of one minute.
The
Whether or not the user has awakened from the surface of the water can be determined based on the heartbeat measured by the
When the user wakes up, the
As shown in Fig. 5, the diastolic BP is different between when in the sleep and before and after the sleep. During sleep, diastolic blood pressure is significantly lower than before and after sleep.
When diastolic blood pressure wakes up after sleep, the heart rate is measured.
At step S317, the user may remain awake during the measurement of the heart rate. In other words, if the user starts to move as soon as he wakes up, the heartbeat may change rapidly.
Whether or not the user has moved after sleeping can be determined from the motion detected from the
The
The measured heart rate can be set to the minimum heart rate when the user is not moving for a certain period of time. In addition, the measured heartbeat is determined as a resting heartbeat, and the determined resting heartbeat may be set as a reference heartbeat for a user's health check.
The user can check his or her health through changes in the resting heart rate measured daily or intermittently after taking a good night's sleep.
For example, if a resting heart rate measured at a normal time is 60, and a resting heart rate measured after a certain day's sleep is 90, the user is not in good health. If you exercise in this situation, you may be at risk for a heart attack.
For example, if the resting heartbeat is normal and the resting heartbeat measured after the sleep of a certain day comes to a heartbeat approaching the predetermined maximum heartbeat considering the age of the user, the user's health is not very good. An emergency risk alert message may be sent to the relevant public authority, such as a fire station.
Elderly elderly people often die during sleep. In this case, when the watch-type
FIG. 6 is a flowchart illustrating a method for measuring a resting heart rate according to a second embodiment of the present invention.
The resting heart rate measuring method shown in FIG. 6 can be applied to the user during daily life.
As described above, since there is no movement in order to measure the resting heart rate, resting heart rate may not be measured in everyday life.
Nevertheless, the specific conditions such as the resting heart rate measurement condition, 1) the acceleration variable is below the first threshold value, 2) the heart rate variability is below the second threshold value, and 3) the difference between the maximum value and the minimum value of the heart rate peaks is 3 (4) the mean heart rate peak values can be measured between the minimum heart rate and the maximum heart rate.
The degree of heart rate variability may mean the degree of variation of the heart rate measured from the
For example, if you are lying still in your daily life, you may have a resting heartbeat.
For example, if sitting quietly for meditation in everyday life, a resting heartbeat can be measured.
In addition, resting heart rate can be measured in various situations even in daily life.
Referring to FIGS. 2 and 6, the minimum heart rate and the maximum heart rate can be set (S321).
The setting of the minimum heart rate and the maximum heart rate has been described in detail in S311 of FIG. 4, so that further description will be omitted.
While the user is in daily life, the watch-type
For example, as shown in Fig. 7, the heart rate can be measured in units of one minute.
The
The acceleration signal can be detected by the
The acceleration variable degree may be an acceleration variation amount with time.
For example, when the user does not move, the acceleration signal detected by the
For example, when the first threshold value is set to 5 and the acceleration variable degree is 3, the acceleration variable degree is less than or equal to the first threshold value, so that the process can be shifted to S327.
For example, when the user moves, the acceleration signal detected by the
If the acceleration variable degree is equal to or greater than the first threshold value, the
If the degree of acceleration variable is equal to or less than the first threshold value, the
The heartbeat signal can be detected by the
The degree of heart rate variability may be the amount of heart rate change over time.
When the user does not move, the heartbeat signal detected by the
For example, when the second threshold value is set to 10, if the degree of the heart rate variability is 7, the degree of the heart rate variability is less than or equal to the second threshold value, so that the process can be shifted to S329.
For example, when the user moves, the heartbeat signal detected by the
If the heart rate variability is greater than or equal to the second threshold value, the
If the heart rate variability is below the second threshold value, the
As shown in FIG. 8A, heartbeat peaks may exist in the heartbeat signal. Among these heartbeat peaks, the heartbeat peaks located on the lower side are the minimum value and the heartbeat peaks located on the upper side may be the maximum value.
The difference between the minimum and maximum values of the heartbeat peaks may be the minimum and maximum values of the adjacent heartbeat peaks.
For example, as shown in Fig. 8B, the minimum value min (A) of the specific heartbeat peak and the maximum value max (A) of the specific heartbeat peak may be located adjacent to each other.
In this case, it can be determined whether the difference value C between the minimum value min (A) of the specific heartbeat peak and the maximum value max (A) of the specific heartbeat peak is smaller than the third threshold value c.
If the difference between the minimum value and the maximum value of the heartbeat peak is greater than the third threshold value, the
8A, if the difference value C between the minimum value min (A) of the specific heart rate peak and the maximum value max (A) of the specific heart rate peak is larger than the third threshold value, for example, The specific heartbeat peak corresponding to the minimum value min (A) and the specific heartbeat peak corresponding to the maximum value max (A) can be eliminated as shown in FIG. 8B.
By the operation in S329, the heartbeat peaks relatively larger or smaller than other peaks are removed, so that it is possible to precisely remove the heartbeat peaks with high possibility of error and to accurately measure the relaxation heartbeat without errors.
If the difference between the minimum value and the maximum value of the heartbeat peaks is equal to or less than the third threshold value, the
As shown in FIG. 9A, when the average value of the heart rate peaks deviates from the preset minimum heart rate and the maximum heart rate, the
As shown in FIG. 9B, when the average value of the heart rate peaks is between the preset minimum heart rate and the maximum heart rate, the
On the other hand, the order of S325 to S329 can be changed. For example, it is determined whether or not the degree of variable heartbeat in step S327 is equal to or less than the second threshold value. Then, it is determined in step S325 whether the degree of acceleration variation is equal to or less than the first threshold value. max is less than or equal to the third threshold value c.
Alternatively, the operation of S329 may be performed first, and the operation may be performed in the order of S327 and S325.
In addition, the operation of any one of S325 and S327 may be omitted. For example, after the operation of any one of S325 and S327 is performed, the operation of S329 may be performed. In other words, if only one of the acceleration variable or the heart rate variability satisfies the threshold condition, it may be determined that the relaxation heart rate measurement is possible, but this is not limited.
As described above, according to the apparatus for measuring a heart rate according to the present invention, when a state of motion after sleeping or everyday life is detected, the heart rate measuring apparatus itself measures the heart rate, determines the measured heart rate as a rest heart rate, Can be set as a reference heart beat. In particular, the reference heart rate set in daily life was obtained by judging whether the average value of the heart rate fluctuation, the degree of heart rate variability, the degree of opening between the maximum peak heart rate and the minimum peak heart rate, and the average value of the heart rate peaks are located between the minimum heart rate and the maximum heart rate, By removing the error in the heart rate measurement beforehand, it is possible to measure the heart rate with high accuracy without error, thereby improving the reliability of the user's product.
FIG. 10 shows a state in which a change in the discontinuous beating heart is checked and countermeasures are taken accordingly.
10, when the watch-type
Accordingly, the user can check his or her health condition through the change state of the resting heartbeat measured and displayed every day or from time to time.
If the resting heart rate measured at one day is excessively high compared to the resting heart rate measured at normal times, an excessively high measured resting heart rate is displayed on the display unit, while a flicker indicating the danger around the resting heart rate is displayed .
In addition, when the rest heart beat is higher than a preset rest heart beat, a message indicating the risk state of the user himself / herself can be transmitted to the related public institution without the user's operation.
In addition, as shown in FIG. 10B, the information on the countermeasure according to the excessively measured resting heartbeat is displayed on the display unit, and the user can use the self- , Emergency measures can be taken in the field.
The present invention described above can be embodied as computer-readable codes on a medium on which a program is recorded. The computer readable medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of the computer readable medium include a hard disk drive (HDD), a solid state disk (SSD), a silicon disk drive (SDD), a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, , And may also be implemented in the form of a carrier wave (e.g., transmission over the Internet). Also, the computer may include a
100: mobile terminal 110: wireless communication unit
120: Input unit
140: sensing unit 150: output unit
160: interface unit 170: memory
180: control unit 190: power supply unit
Claims (11)
Inputting a measured heart rate of the user from the heart rate sensor;
Inputting motion information of the user detected by the acceleration sensor;
Determining whether at least one of the measured heart rate and the detected motion information satisfies a condition for measuring a resting heart rate; And
Determining that the measured heartbeat is a resting heartbeat when at least one of the measured heartbeat and the detected motion information satisfies a condition for the relaxation heartbeat measurement,
The step of determining whether the condition for the resting heart rate measurement is satisfied
Determining whether a difference between a minimum heart rate peak and a maximum heart rate peak of the measured heart rate is equal to or less than a first threshold value,
The step of determining the measured heart rate as a resting heart rate
Determining a mean value of heartbeat peaks as a resting heartbeat if the difference between the minimum heartbeat peak and the maximum heartbeat peak is below the first threshold.
Wherein the step of determining whether the condition for the resting heart rate measurement is satisfied comprises:
Determining whether the user awakens from the sleep based on at least one of the heart rate and the motion information; And
Measuring a heart rate of the user when the user wakes up from the surface of the water,
Wherein the measured heartbeat is determined as the resting heartbeat.
Wherein the step of measuring the heart rate comprises:
Measuring the heart rate when the user is awake from the sleep and there is no movement for a certain period of time.
Wherein the step of determining whether the condition for the resting heart rate measurement is satisfied comprises:
Determining whether an average value of the heartbeat peaks is between a predetermined minimum heartbeat and a maximum heartbeat when the difference between the minimum heartbeat peak and the maximum heartbeat peak is less than or equal to a first threshold value,
Wherein the average value of the heartbeat peaks is determined as a resting heartbeat when the average value of the heartbeat peaks is between a preset minimum heartbeat and a maximum heartbeat.
And removing the minimum heartbeat peak and the maximum heartbeat peak when the difference between the minimum heartbeat peak and the maximum heartbeat peak is greater than or equal to a first threshold value.
Measuring a heart rate in a next predetermined time interval when the average value of the heart rate peaks deviates from the preset minimum heart rate and the maximum heart rate.
The step of determining whether the condition for the resting heart rate measurement is satisfied
And determining whether the degree of the variable of the detected acceleration is less than or equal to a second threshold value.
The step of determining whether the condition for the resting heart rate measurement is satisfied
And determining whether the measured degree of variation of the heartbeat is less than or equal to a third threshold value.
Wherein the determined resting heartbeat is displayed on a display unit on a daily or occasionally occasioned basis.
And if the determined resting heart rate is higher than a threshold value by more than a predetermined range, a risk warning message is transmitted to the institution through the wireless communication unit.
Sensing whether the resting heartbeat device is worn; And
Further comprising the step of operating the heart rate sensor for the heart rate measurement when the wearer is sensed to wear the relaxation heart rate device.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020150111881A KR101821858B1 (en) | 2015-08-07 | 2015-08-07 | A mehthod of measuring a resting heart rate |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR1020150111881A KR101821858B1 (en) | 2015-08-07 | 2015-08-07 | A mehthod of measuring a resting heart rate |
Publications (2)
Publication Number | Publication Date |
---|---|
KR20170017648A KR20170017648A (en) | 2017-02-15 |
KR101821858B1 true KR101821858B1 (en) | 2018-01-24 |
Family
ID=58112082
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
KR1020150111881A KR101821858B1 (en) | 2015-08-07 | 2015-08-07 | A mehthod of measuring a resting heart rate |
Country Status (1)
Country | Link |
---|---|
KR (1) | KR101821858B1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20200071013A (en) * | 2018-12-10 | 2020-06-18 | 경희대학교 산학협력단 | Method for detecting biosignal using diversity technique and bio radar system implementing the same |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102033696B1 (en) | 2017-09-18 | 2019-10-21 | 서울대학교병원 | System for predicting thyrotoxicosis using a wearable device and computer program using the same |
CN107669248B (en) * | 2017-09-29 | 2024-02-02 | 长春市万易科技有限公司 | Dynamic pulse continuous detection system and method for old people |
KR102469743B1 (en) | 2020-06-10 | 2022-11-22 | 주식회사 타이로스코프 | Method for monitoring thyroid function according to drug administration, monitoring server and user terminal performing the same |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006334369A (en) * | 2005-06-06 | 2006-12-14 | Nagasakiken Koritsu Daigaku Hojin | Life-threatening crisis-informing system and clinical condition-monitoring system |
-
2015
- 2015-08-07 KR KR1020150111881A patent/KR101821858B1/en active IP Right Grant
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2006334369A (en) * | 2005-06-06 | 2006-12-14 | Nagasakiken Koritsu Daigaku Hojin | Life-threatening crisis-informing system and clinical condition-monitoring system |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20200071013A (en) * | 2018-12-10 | 2020-06-18 | 경희대학교 산학협력단 | Method for detecting biosignal using diversity technique and bio radar system implementing the same |
KR102325172B1 (en) | 2018-12-10 | 2021-11-11 | 경희대학교 산학협력단 | Method for detecting biosignal using diversity technique and bio radar system implementing the same |
Also Published As
Publication number | Publication date |
---|---|
KR20170017648A (en) | 2017-02-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20190099114A1 (en) | Fall sensing and medical alert systems | |
KR102444585B1 (en) | Electronic device and method for measuring biometric signals | |
US11638550B2 (en) | Systems and methods for stroke detection | |
EP2937844B1 (en) | Monitoring a driver of a vehicle | |
US20180116607A1 (en) | Wearable monitoring device | |
US9044136B2 (en) | Wearable mini-size intelligent healthcare system | |
EP3300657B1 (en) | Wrist temperature rhythm acquisition apparatus and method, core temperature rhythm acquisition apparatus and method, and wearable device | |
US20150130613A1 (en) | Selectively available information storage and communications system | |
US20120029392A1 (en) | Method and system for detecting a fall of a user | |
WO2010108287A1 (en) | A wearable intelligent healthcare system and method | |
KR20180097403A (en) | Method for obtaining biometric information and appratus therefor | |
KR101821858B1 (en) | A mehthod of measuring a resting heart rate | |
KR20170127744A (en) | Watch type terminal | |
KR101691142B1 (en) | Wearable smartband | |
US11191483B2 (en) | Wearable blood pressure measurement systems | |
US11478189B2 (en) | Systems and methods for respiratory analysis | |
KR20160148302A (en) | System and method for providing information of peripheral device | |
EP3621515A1 (en) | A system and method for monitoring human performance | |
JP6925946B2 (en) | Biological information measuring device, wearing support method and wearing support program | |
US20200210689A1 (en) | A system and a method for analyzing a behavior or an activity of an object | |
EP3890596B1 (en) | Method for calculating recovery index based on rem sleep stage and electronic device thereof | |
KR101905695B1 (en) | Neckband wearable and activity notification system using it | |
KR101881397B1 (en) | Device for integral respiration measurement and method for the same | |
CN205031242U (en) | Multi -functional electronic sphygmomanometer with blood pressure reduction effect | |
CN111511273A (en) | Information processing apparatus, information processing method, and information processing program |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A201 | Request for examination | ||
E902 | Notification of reason for refusal | ||
E701 | Decision to grant or registration of patent right | ||
GRNT | Written decision to grant |