KR101576666B1 - System and method for cardiopulmonary fitness estimation in daily life - Google Patents

System and method for cardiopulmonary fitness estimation in daily life Download PDF

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KR101576666B1
KR101576666B1 KR1020140026780A KR20140026780A KR101576666B1 KR 101576666 B1 KR101576666 B1 KR 101576666B1 KR 1020140026780 A KR1020140026780 A KR 1020140026780A KR 20140026780 A KR20140026780 A KR 20140026780A KR 101576666 B1 KR101576666 B1 KR 101576666B1
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heart rate
signal
estimating
momentum
bio
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KR20150104874A (en
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윤치열
김희찬
윤형진
현은제
안중우
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서울대학교 산학협력단
국립중앙의료원
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Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a new cardiovascular endurance index estimation system and method for estimating a cardiovascular endurance index using bio-signals continuously measured in daily life, A living body signal measuring unit for measuring a living body signal of the subject in daily life and calculating a heart rate and a momentum per unit time from the measured living body signal; And a cardiopulmonary endurance index estimating unit for estimating a cardiopulmonary endurance index using the heart rate and the exercise amount calculated every unit time in the bio-signal measuring unit.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for estimating cardiovascular endurance index in daily life,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a new cardiovascular endurance index estimation system and method for estimating a cardiopulmonary endurance index using bio-signals continuously measured in daily life.

Unlike the commonly known common sense, exercise and lifestyle have a greater impact on mortality than disease-related mortality. In modern times, paradigm shifts from treatment-oriented medicine to preventive medicine.

There are a variety of solutions that can manage physical activity, such as exercise and lifestyle, during daily life for disease prevention and health management.

The momentum measuring device uses a method of estimating the momentum using an accelerometer. For proper estimation of the momentum, one or three acceleration sensors should be attached to the torso or limbs for at least 4 days. The momentum calculations are based on the method of converting the momentum into the momentum using the acceleration signal. However, since the exercise meter only manages energy consumption and physical activity, it is not possible to ascertain how well individuals and how physical fitness improves by accumulating physical activity and physical activity.

Cardiopulmonary fitness (CPF), one of physical fitness, is an index of the ability to supply oxygen through the blood and respiration to perform physical activity. When analyzed in connection with various health indicators, It is found that there is a close relationship between the two.

In general, the cardiopulmonary endurance index is known to be representative of maximum oxygen uptake (VO 2 max), and is known to be improved through exercise. When the maximal oxygen uptake (VO 2 max) improved through exercise been shown that mortality it is significantly reduced and needs to better manage cardiorespiratory endurance indicators, but methods and apparatus that can determine cardiorespiratory endurance indicators in everyday life are not widespread , It is very rare that general and medical staff use VO 2 max for health care.

There is a wide variety of methods to measure VO 2 max. A direct method is to analyze the oxygen consumption by attaching a respiratory gas analyzer and performing exercise test. Submaximal exercise test, non-exercise-based demographic factor calculation, and exercise and heart rate monitoring methods.

The method using exercise load test or maximal underloading exercise is relatively high in accuracy, but there is a problem in performing the test by the patient or the elderly because of the risk of injury or death during the examination. Using the non-exercise-based demographic factor There is a problem that there is a difference from actual indicators because it is not a direct measurement of physical reaction to physical activity or exercise.

The present invention provides a new cardiovascular endurance index estimation system and method for estimating a cardiovascular endurance index by using continuously measured bio-signals during daily life.

According to an aspect of the present invention, there is provided a cardiopulmonary endurance index estimation system for measuring a cardiovascular endurance index in a human body of a subject to measure a vital sign of the subject during daily life, calculating a heart rate and a momentum per unit time from the measured vital sign A bio-signal measuring unit; And a cardiopulmonary endurance index estimating unit for estimating a cardiopulmonary endurance index using the heart rate and the exercise amount calculated every unit time in the bio-signal measuring unit.

Preferably, the cardiopulmonary endurance index estimator includes: a storage unit for storing the heart rate and the exercise amount calculated for each unit time; An extraction unit for extracting heart rate data and momentum data in a period in which the heart rate of the heart rate and exercise amount data stored in the storage unit increases; And an estimator for estimating a maximum oxygen uptake in the interval in which the heart rate is increased using the heart rate and the exercise amount data extracted by the extracting unit.

Also, the estimator may detect a simple regression equation between the extracted heart rate and the exercise amount, calculate a maximum activity energy consumption using the detected simple regression equation, and calculate the maximum activity energy consumption and the pre-stored maximum oxygen consumption The maximum oxygen uptake can be estimated using an estimated regression equation.

Preferably, the cardiopulmonary endurance index estimator includes: a storage unit for storing the heart rate and the exercise amount calculated for each unit time; An extracting unit for extracting heart rate and momentum data in a period in which the heart rate of the heart rate and exercise amount data stored in the storage unit decreases; And a simple regression equation between the heart rate and the momentum in the section where the heart rate is decreased using the heart rate and momentum data extracted by the extracting section and estimating the homeostasis ability using the detected simple regression equation Government.

Preferably, the living body signal measuring unit measures at least one of an electrocardiogram signal, a heart ballistic signal, and a photoplethysmograhpy (PPG) signal of a subject during daily life provided in a human body of the subject, A heart rate measuring unit for calculating a heart rate per unit time from a signal measured by the heart rate measuring unit; a momentum measuring unit provided in the human body of the subject for measuring a motion signal of the subject during daily life, and calculating a momentum from the measured motion signal per unit time; . ≪ / RTI >

Meanwhile, the heartbeat measuring unit and the momentum measuring unit may be provided in one part of the human body of the subject, or may be composed of independent sensors, and may be provided in at least two parts of the human body of the subject.

The bio-signal measuring unit may further include a transmitting unit for transmitting the heart rate and the exercise amount calculated for each unit time to the cardiopulmonary endurance index estimating unit. The cardiovascular endurance index estimating unit may calculate the cardiovascular endurance index using the heart rate and the exercise amount transmitted from the transmitting unit Cardiovascular endurance index of the cardiovascular endurance is estimated.

The method of estimating cardiovascular endurance index according to the present invention is a method for estimating a cardiovascular endurance index using bio-signals continuously measured at the same time during daily life, comprising the steps of: Calculating and storing the heart rate and the exercise amount; Extracting a heart rate and momentum data in a period in which the heart rate increases among the stored heart rate and exercise quantity data; And estimating a maximum oxygen uptake in a region where the heart rate is increased using the extracted heart rate and exercise amount data.

Preferably, the step of estimating the maximum oxygen uptake includes the steps of: detecting a simple regression equation between the heart rate and the exercise amount in the interval in which the heart rate increases using the extracted heart rate and the exercise amount data; Calculating a maximum activity energy consumption using the detected simple regression equation; And estimating a maximum oxygen uptake (VO 2 max) using the calculated maximum activity energy consumption and pre-stored maximum oxygen uptake estimation regression equation.

According to another aspect of the present invention, there is provided a cardiopulmonary endurance index estimation method for estimating cardiovascular endurance index using bio-signals continuously measured at the same time in daily life, comprising the steps of: Calculating and storing heart rate and momentum at each time; Extracting heart rate data and momentum data in a period in which the heart rate decreases in the stored heart rate and exercise quantity data; Detecting a simple regression equation between a heart rate and a momentum in a section where the heart rate is decreased using the extracted heart rate and exercise quantity data; And estimating the homeostasis ability using the detected simple regression equation.

The bio-signal includes at least one of an ECG signal, a heart trajectory signal, and a PPG signal and a motion signal measured by an acceleration sensor, wherein the heart rate calculation is performed using any one of the signals, And may be performed using a motion signal measured by an acceleration sensor.

According to the method and system for estimating cardiovascular endurance index according to the present invention, the heart rate and momentum per unit time are calculated from bio-signals continuously measured during daily life using various types of bio-signal measuring devices, The cardiopulmonary endurance index can be estimated using the heart rate and the exercise amount per unit time.

Therefore, the method and system for estimating cardiovascular endurance index according to the present invention can easily and easily estimate cardiopulmonary endurance in daily life. Therefore, it is possible to measure not only the physical activity of the individual but also physical fitness) can be managed, thereby providing a great help to individual health care.

Also, since the method and system for estimating cardiovascular endurance index according to the present invention do not need to measure cardiopulmonary endurance through intentional underloading exercise like the conventional measuring device, cardiopulmonary endurance of patients, seniors, etc. can be easily and safely There is an effect that can be measured.

The effects according to the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description of the claims and the detailed description It will be possible.

1 is a schematic diagram showing a cardioplegia endurance index estimation system according to an embodiment of the present invention,
FIG. 2 is a graph showing the heart rate (HR (BPM), beat / min) calculated every minute from the electrocardiogram signal and the motion signal continuously measured in daily life through the apparatus for measuring bio signal according to an embodiment of the present invention, And activity (Energy Activity Expenditure, aEE (J / min)),
FIG. 3 is a chart showing that a simple regression equation is derived by extracting only the heart rate and momentum data in a section in which the heart rate increases (indicated by the shaded area in FIG. 2).

While the invention is susceptible to various modifications and alternative constructions, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. Rather, the intention is not to limit the invention to the particular forms disclosed, but rather, the invention includes all modifications, equivalents and substitutions that are consistent with the spirit of the invention as defined by the claims.

1 is a block diagram schematically illustrating a cardioplegia endurance index estimation system according to an embodiment of the present invention.

Referring to FIG. 1, a cardiopulmonary endurance index estimation system 10 according to an embodiment of the present invention is provided in a human body of a subject to measure a living body signal of the subject during daily life, calculates a heart rate And a cardiovascular endurance index estimating unit 30 for estimating a cardiopulmonary endurance index using the heart rate and the exercise amount calculated for each unit time in the bio-signal measuring unit 20 .

The living body signal measuring unit 20 may include a heartbeat measuring unit 21 for calculating a heart rate from a living body signal continuously measured in daily life and a momentum measuring unit 22 for calculating an amount of exercise. The bio-signal measured by the bio-signal measuring unit 20 is a signal for calculating the heart rate and a signal for calculating the amount of exercise. For example, as a signal for calculating the heart rate, an electrocardiogram signal, a heart ballistic signal, or a PPG signal And the signal for calculating the momentum may be a motion signal measured by the acceleration sensor.

The heartbeat measuring unit 21 includes a sensor 23 provided in the human body of the subject to measure at least one of an electrocardiogram signal, a heart ballistic signal, and a photoplethysmograhpy (PPG) signal of the subject during daily life, And a heart rate calculator 24 for calculating a heart rate per unit time from the signal measured by the sensor 23. [

For example, when an electrocardiogram signal is used, the heart rate calculation may be performed by analyzing an electrocardiogram signal measured by the sensor 23 to calculate a time interval between peaks (R peaks) to calculate a beat per minute, (R peak) per unit time of the electrocardiogram signal. When the cardiac tilt signal is used, the cardiac tilt signal measured by the sensor 23 is analyzed to determine the peak (J peak) per unit time of the cardiac tilt signal. The heart rate can be calculated by detecting the number of times.

The momentum measuring unit 22 is provided in the human body of the subject to measure a motion signal of the subject during daily life, and can calculate the momentum at every unit time from the measured motion signal. For example, the momentum measuring unit 22 includes an acceleration sensor 25 provided in the human body of the subject and continuously measuring a motion signal of the subject during daily life, And a momentum calculating unit 26 for calculating the amount of exercise per unit time. The momentum calculation can be calculated using the signal measured by the acceleration sensor 25 and the weight of the subject.

In another embodiment, the momentum measuring unit 22 may measure the amount of exercise using the vibration signal of the human body instead of calculating the amount of exercise using the acceleration sensor 25, And it is also possible to measure the amount of exercise by measuring the moving distance and speed of the subject using GPS, and it is also possible to measure the amount of exercise by measuring the walking number of the subject using the walking sensor It is also possible. Preferably, the momentum measuring unit 22 uses the acceleration sensor 25 as a basic sensor for measuring the momentum, and in addition to the signals measured by the acceleration sensor 25, the vibration signal, It is possible to improve the accuracy of the momentum measurement by measuring the amount of exercise by using at least any one of signals such as a walking sensor and the like.

Meanwhile, the heartbeat measuring unit 21 and the momentum measuring unit 22 may be constituted by one sensor module and may be provided in one part of the human body of the subject. The heartbeat measuring unit 21 and the momentum measuring unit 22 may be constituted by independent sensors, But the present invention is not limited thereto.

The cardioplegia endurance index estimating unit 30 is configured to estimate the cardiovascular endurance index using the heart rate and the exercise amount calculated per unit time from the bio-signal measuring device 20. For example, when a load is applied to the human body, (VO 2 max) indicating the degree of oxygen uptake.

To this end, the cardioplegia endurance index estimating unit 30 includes a storage unit 32 for storing a heart rate and a momentum calculated per unit time, a heart rate monitor unit 32 for calculating a heart rate and the extractor 34, the extraction unit 34, the maximum oxygen uptake in the heart rate and a predetermined interval during which the heart rate by using a momentum data extracted from the (VO 2 max) the estimated estimation unit (36 to extract the exercise data ).

The estimating unit 36 detects a simple linear regression between the extracted heart rate and the exercise amount, calculates a maximum activity energy consumption using the detected regression equation, The maximum oxygen uptake can be estimated using the stored maximum oxygen uptake regression equation.

The reason why the cardiovascular endurance index estimating unit 30 extracts only the heart rate and the momentum data in the region where the heart rate is increased in order to estimate the maximum oxygen uptake amount and detects the simple regression equation is that a general maximum oxygen uptake amount measuring method This is because the human body monitors and analyzes the reaction (increase in heart rate) in the situation where the human body is exercising. Therefore, if only the section in which the heart rate is increased by various factors among the daily life as described above is extracted, the same effect as the general maximum oxygen uptake measurement method It is because.

FIG. 2 is a graph showing the heart rate (HR (BPM), beat / min) calculated every minute from the electrocardiogram signal and the motion signal continuously measured in daily life through the apparatus for measuring bio signal according to an embodiment of the present invention, FIG. 3 is a graph showing the activity energy expenditure (activity energy expenditure), aEE (J / min), and the heart rate and momentum data in the section where the heart rate is increasing This is a chart showing that a simple regression equation is derived.

As shown in FIGS. 2 and 3, only heart rate and momentum data are extracted from the heart rate and momentum data calculated every minute from the electrocardiogram signal and the vibration signal continuously measured during daily life, If detected, a simple regression equation can be detected as shown in FIG.

Then, using the simple regression equation thus derived, the maximum activity energy consumption of the subject can be calculated by using the maximum heart rate according to the age of the subject (generally, the maximum heart rate can be calculated from the (220-age) expression) number, and estimating Thus the maximum activity made in energy consumption through the trial calculation predetermined maximum oxygen uptake is substituted for the regression equation (VO 2 max estimation), to estimate the maximum oxygen uptake (VO 2 max) of the blood measurer .

On the other hand, the cardioplegia endurance index estimating unit 30 may be configured to estimate the homeostasis maintaining ability to determine the degree to which the human body returns to its original state after the load is applied to the human body, unlike the case of estimating the maximum oxygen uptake amount . For this, the cardioplegia endurance index estimating unit 30 estimates the maximum oxygen uptake, and the extracting unit 34 extracts the heart rate and momentum in the section where the heart rate decreases among the heart rate and the exercise quantity data stored in the storage unit 32 The estimator 36 detects a simple regression equation between the heart rate and the exercise quantity in the section where the heart rate is decreased using the extracted heart rate and the exercise quantity data, And can be configured to estimate the homeostasis ability.

When the cardiovascular endurance index estimating unit 30 detects a simple regression equation between the heart rate and the exercise amount in a period in which the heart rate decreases in the heart rate and exercise quantity data stored in the storage unit 32 , The homeostasis ability, which is the degree to which the human body is returned to its original state after the load is applied to the human body, can be estimated. Here, the homeostasis ability can be expressed by the slope of the detected simple regression equation or the time taken to return to the original state.

The cardioplegia endurance index estimation system 10 according to the present invention includes a display unit 40 for displaying cardiovascular endurance (for example, maximum oxygen uptake) estimated by the cardiovascular endurance index estimator 30, (Not shown).

As described above, the cardioplegia endurance index estimation system 10 according to the present invention can measure the cardiovascular endurance index such as the maximum oxygen uptake easily and prominently during daily life. Then, continuous cardiopulmonary endurance measurement and management can manage not only the physical activity of the individual but also the physical fitness, which can greatly contribute to individual's health care, and furthermore, It is possible to easily and safely measure the cardiopulmonary endurance of the patient, the elderly, etc. as well as the healthy person.

Meanwhile, the cardioplegia endurance index estimation system 10 according to the present invention may be configured such that the bio-signal measurement apparatus 20 and the cardioplegia endurance index estimation unit 30 are separately provided. For example, instead of providing the cardiopulmonary endurance index estimating unit 30 to the bio-signal measuring apparatus 20, the cardiovascular endurance index estimating unit 30 may be provided in a smart phone having another mechanism, for example, It is also possible to provide the door 30.

In this case, the bio-signal measuring unit 20 further includes a transmitting unit for transmitting the heart rate and the exercise amount calculated per unit time to the cardiopulmonary endurance index estimating unit 30, and the cardiovascular endurance index estimating unit 30 transmits And estimating the cardiopulmonary endurance index using the calculated heart rate and the exercise amount. The transmission unit can also be configured as wired, wireless, or wired or wireless.

Hereinafter, an embodiment of the method of measuring a daily living cardiovascular endurance index according to the present invention will be described in detail.

First, the cardiopulmonary endurance index measuring method according to the present invention performs daily life in a state in which a living body signal measuring device 20 is attached to a predetermined part of a human body during a predetermined measurement period.

Then, the living body signal is continuously measured and stored at the same time in daily life. Here, the bio-signal may be a signal for calculating the heart rate and a bio-signal for calculating the momentum, and the signal for calculating the heart rate may be any one of an electrocardiogram signal, a heart ballistic signal, and a PPG signal. The measured motion signal is as described above, but the present invention is not limited thereto.

Thereafter, the heart rate is calculated and stored from the stored electrocardiogram signal every minute (per unit time), and the exercise amount is calculated and stored every minute from the stored human motion signal. Herein, the heart rate can be calculated by calculating the time interval between R peaks by analyzing the electrocardiogram signal and calculating the heart rate per minute, and the momentum can be calculated using the body motion signal and the body weight of the subject as described above.

Then, only the heart rate and momentum data are extracted during a period in which the heart rate continuously increases (at least two minutes increase) among the stored heart rate and momentum data during the measurement time.

Then, a simple regression equation between the heart rate and the exercise amount is detected in the section where the heart rate is increased by using the extracted heart rate and momentum data.

Then, the maximum activity energy consumption of the subject estimated using the maximum heart rate according to the individual age (generally, (220-age) expression) can be calculated using the derived simple regression equation.

Then, the maximum oxygen uptake amount of the subject can be estimated using the relational expression (maximum oxygen uptake estimation regression formula) established from the previous study using the calculated maximum activity energy consumption and the human body size.

An example of the maximum oxygen uptake estimation regression equation is as follows.

VO 2 max = 0.103 * aEEmax-31.952 * height + 92.532

Here, VO 2 max represents the maximum oxygen uptake, aEE max represents the maximum activity energy consumption, and height represents the key of the subject, and the coefficients and the human body dimension parameters in the above expression can be changed.

In addition, the method of measuring cardiovascular endurance index according to the present invention extracts only the heart rate and the exercise amount data in the interval of the heart rate and the exercise amount data stored during the measurement period and detects the simple regression equation between the extracted heart rate and the exercise amount The homeostasis ability to determine the degree to which the human body is returned to its original state after a load is applied to the human body is removed. Here, the homeostasis maintenance ability can be represented by the slope of the simple regression equation or the time taken to return to the original state.

As described above, the present invention relates to a new cardiovascular endurance index estimation system and method for estimating a cardiovascular endurance index using bio-signals continuously measured in everyday life, It is possible to change to. Accordingly, the present invention is not limited to the embodiments disclosed herein, and all changes which can be made by those skilled in the art are also within the scope of the present invention.

10: Cardiopulmonary endurance index estimation system 20: Biomedical signal measuring device
30: Cardiopulmonary endurance index estimating unit 40: Display unit

Claims (11)

delete delete A bio-signal measuring unit provided in a human body of the subject to measure a bio-signal of the subject during daily life, and to calculate a heart rate and a momentum per unit time from the bio-signal measured; And
And a cardiopulmonary endurance index estimating unit for estimating a cardiopulmonary endurance index using the heart rate and the exercise amount calculated for each unit time in the bio-signal measuring unit,
The cardiopulmonary and endurance index estimating unit calculates,
A storage unit for storing the heart rate and the exercise amount calculated for each unit time;
An extraction unit for extracting heart rate data and momentum data in a period in which the heart rate of the heart rate and exercise amount data stored in the storage unit increases; And
A simple regression equation between the heart rate and the exercise quantity in the interval in which the heart rate increases from the extracted heart rate and exercise quantity data is calculated and the maximum activity energy consumption is calculated using the detected simple regression equation, And estimating a maximum oxygen uptake based on the energy consumption and the preset maximum oxygen uptake estimation regression equation. A bio-signal measuring unit provided in a human body of the subject to measure a bio-signal of the subject during daily life, and to calculate a heart rate and a momentum per unit time from the bio-signal measured; And
And a cardiopulmonary endurance index estimating unit for estimating a cardiopulmonary endurance index using the heart rate and the exercise amount calculated for each unit time in the bio-signal measuring unit,
The cardiopulmonary and endurance index estimating unit calculates,
A storage unit for storing the heart rate and the exercise amount calculated for each unit time;
An extracting unit for extracting heart rate and momentum data in a period in which the heart rate of the heart rate and exercise amount data stored in the storage unit decreases; And
A simple regression equation between the heart rate and the momentum in the section where the heart rate is decreased using the heart rate and momentum data extracted by the extracting section and estimating the homeostasis ability using the detected simple regression equation, And a system for estimating cardiovascular endurance index. The method according to claim 3 or 4,
Wherein the bio-
A heart rate signal and a photoplethysmograhpy (PPG) signal of a subject during daily life, and calculates a heart rate per unit time from the measured signal A heartbeat measuring unit,
And a momentum measuring unit provided in the human body of the subject to measure a motion signal of the subject during daily life and to calculate a momentum at every unit time from the measured motion signal. 6. The method of claim 5,
Wherein the heartbeat measuring unit and the momentum measuring unit are provided in at least two portions of the human body of the subject, the sensor being provided in one part of the human body of the subject or being constituted by independent sensors. Endurance index estimation system. The method according to claim 3 or 4,
Wherein the bio-signal measuring unit further includes a transmitter for transmitting the heart rate and the exercise amount calculated for each unit time to the cardiopulmonary endurance index estimator,
Wherein the cardiopulmonary endurance index estimating unit estimates a cardiopulmonary endurance index using the heart rate and the exercise amount transmitted from the transmitting unit. delete A cardiopulmonary endurance index estimation method for estimating a cardiopulmonary endurance index using bio-signals continuously measured at the same time in daily life,
Calculating and storing heart rate and momentum per unit time from the continuously measured bio-signals;
Extracting a heart rate and momentum data in a period in which the heart rate increases among the stored heart rate and exercise quantity data; And
And estimating a maximum oxygen uptake using the heart rate and the exercise amount data in the interval in which the extracted heart rate increases,
Wherein the maximum oxygen uptake estimating step comprises:
Detecting a simple regression equation between a heart rate and a momentum in an interval in which the heart rate increases from the extracted heart rate and exercise amount data;
Calculating a maximum activity energy consumption using the detected simple regression equation; And
Estimating a maximum oxygen uptake (VO 2 max) using the calculated maximum activity energy consumption and pre-stored maximum oxygen uptake estimation regression equation. A cardiopulmonary endurance index estimation method for estimating a cardiopulmonary endurance index using bio-signals continuously measured at the same time in daily life,
Calculating and storing heart rate and momentum per unit time from the continuously measured bio-signals;
Extracting heart rate data and momentum data in a period in which the heart rate decreases in the stored heart rate and exercise quantity data;
Detecting a simple regression equation between a heart rate and a momentum in a section where the heart rate is decreased using the extracted heart rate and exercise quantity data; And
And estimating the homeostasis ability using the detected simple regression equation. 11. The method according to claim 9 or 10,
Wherein the bio-signal includes any one of an electrocardiogram signal, a heart ballistic signal, and a PPG signal and a motion signal measured by an acceleration sensor,
Wherein the heart rate calculation is performed using any one of the signals, and the exercise amount calculation is performed using a motion signal measured by the acceleration sensor.
KR1020140026780A 2014-03-06 2014-03-06 System and method for cardiopulmonary fitness estimation in daily life KR101576666B1 (en)

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Publication number Priority date Publication date Assignee Title
KR20200017982A (en) 2018-08-10 2020-02-19 이승리 Cardiovascular endurance training management apparatus using training mask for cardiovascular endurance
KR20210144997A (en) 2020-05-22 2021-12-01 주식회사 나라컨트롤 A measurement method for energy consumption using closed type chamber and its measurement system thereof

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