KR20160127516A - Measuring system of vital sign information and the measuring method using the same - Google Patents

Abstract

The present invention relates to a body balance measuring system, which is a system for measuring a body balance of a plurality of measurers within a certain measurement area, the body balance measuring system according to the present invention includes a plurality of exercise ability measuring devices provided in the measurement area; A guide unit for guiding movement information in the measurement area and information on a exercise capacity measurement mission to be performed using the exercise capacity measurement device to the measurer; A heart rate measuring unit attached to each of the plurality of the examinees to measure biometric information of the examinee; A data transmission unit attached to each of the plurality of users, for transmitting identification information, signal strength information (RSSI), and biometric information of the user measured by the heart rate measurement unit; A signal detecting unit provided in plurality in the movement path of the measurer in the measurement area and in the periphery of the exercise ability measuring device and transmitting and receiving the pilot signal transmitted from the data transmitter and the biometric information of the measurer; And a controller for receiving the identification information, the signal strength information, and the biometric information from the signal sensing unit, identifying a measurer transmitting the signal, sensing the position of the measurer in the measurement area, And a schedule management server for transmitting the distribution information to the guide unit so as to distribute the information to the apparatus.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a body balance measurement system and a body balance measurement method using the same.

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a body balance measurement system and a body balance measurement method using the body balance measurement system, and more particularly, to a body balance measurement method and a measurement system used for the body balance measurement method.

Recently, the prevalence of obesity and chronic diseases has been increasing year by year, and the demand for prolonging health life according to aging society is increasing. In order to prevent chronic illness and to lead a healthy life, the right lifestyle should be given priority, and adequate nutrition and appropriate exercise should be done in parallel.

On the other hand, there are many opportunities to check health status by expanding health check-up service, but there are not many opportunities to receive appropriate exercise and nutritional prescription. Furthermore, the opportunities for accessing health information through the development of the Internet and media have increased, but it is difficult to determine whether the information is necessary for users.

There is a space and environment for exercise such as a fitness center and a nearby sports facility, and the demand for exercise is increasing not only in the younger generation but also in the middle and senior age group. As a result, the number of the general public who use functional nutritional supplements to improve the athletic performance of athletes has been increasing. In addition, subjects who perform continuous exercise for a specific purpose tend to have nutritional imbalances, and in particular, children in the growing period may not be able to achieve a balanced physical development due to lack of exercise and unbalanced habits, It is a reality that it is difficult to improve.

In addition, the study of intensive research on the effects of nutrition on the performance of athletic performance has been in recent decades and its history has not been long. Research has also focused on improving the athletic performance of the athletes. It is hard to apply. Therefore, there is a need for a technique that allows the general public to easily provide information on nutritional intake methods and health functional foods that are useful for enhancing exercise performance and physical fitness factors according to their exercise performance, physical fitness and nutritional status.

The present invention provides a body balance measurement system for measuring body composition analysis data and exercise ability of a measurer.

The present invention also provides a body balance measurement system capable of more precisely calculating a position and a movement path of a measurer.

The present invention also provides a body balance measurement system capable of providing exercise schedules for a plurality of measurers.

The present invention also provides a body balance measurement system capable of acquiring data close to the actual body development degree and providing an exercise schedule considering the data.

The body balance measuring system according to the present invention includes a body composition analyzer for analyzing a body composition of a subject by bioelectrical impedance analysis (BIA); A plurality of exercise capacity measuring devices for measuring data on a frequency of exercise and a duration of exercise according to a given exercise goal; A heart rate measuring unit for measuring a heart rate of the measurer during exercise; A guide unit for providing guidance information to the observer; A schedule management server for providing exercise schedule information to the observer through the guide unit; And an analysis server that provides a recommended exercise schedule.

Wherein the analysis server provides an exercise schedule for measuring a basic heart rate of the examinee and measures exercise time, exercise frequency and exercise frequency from the body composition of the examinee measured by the body composition analyzer and the basic heart rate, Motion setting means for estimating the intensity and setting an exercise schedule to be provided to the observer through the schedule management server; Predicted value calculation means for calculating a predicted value of a result of the exercise schedule set by the exercise setting means based on the basic heart rate and the body composition; And analyzing means for comparing the motion performance result measured in the exercise process according to the exercise schedule and the predicted value to select a recommended exercise and a diet.

And a disease prediction database storing a set of possible disease data corresponding to the type of the actual exercise result and the difference between the actual exercise result and the predicted value, wherein the analyzing means stores the difference between the actual exercise result and the predicted value The disease prediction database may be searched to provide the disease prediction data in the presence of predicted disease data.

In addition, the exercise setting means may provide an exercise schedule for the basic heart rate measurement, which is commonly provided to a plurality of observers, to the schedule management server.

And an external force sensing unit for measuring a load applied to the foot of the measurer during the exercise, wherein the analysis server measures, by the heart rate measuring unit, at a time when the change value of the load per reference time by the external force sensing unit is less than a reference value Only the heart rate of the heart can be quoted.

The exercise setting means may provide a plurality of equivalent exercise schedules for the measurer to the schedule management server, and the schedule management server may select any one of the equivalent exercise schedules so that the copper wires of the plurality of the measurers do not overlap, .

The analysis server may further include a restaurant database having geographical information and menu information of a nearby restaurant; And restaurant recommendation means for providing nearby restaurant information corresponding to the selected recommended meal.

The body balance measurement and information providing method according to any one of claims 1 to 6, wherein the body balance measuring and information providing method according to the present invention is characterized in that the body composition analyzing unit measures the body composition of a measurer Measuring body composition; Measuring the heart rate of the examinee by the heart rate measuring unit; The analysis server setting an exercise schedule based on the body composition and the basic heart rate, and calculating a predicted value of an exercise result according to the exercise schedule; A comparison and correction step of correcting the body composition measurement data by comparing the result of performing an exercise performed in the exercise process according to the set exercise schedule with the predicted value; And an information providing step wherein the analysis server provides a recommendation exercise and a meal based on the corrected body composition measurement data.

In addition, the information providing step may provide body balance analysis data including at least one of body composition analysis data, obesity diagnosis data, and weight control data, and physical fitness diagnostic data measured from the exercise capacity measuring apparatus and the heart rate measuring unit .

In addition, the body composition analysis data may include at least one of an intracellular fluid, an extracellular fluid, a protein, and an inorganic body fat. The obesity diagnosis data may include at least one of muscle mass, body fat mass, body fat percentage, And information on at least one of an appropriate weight, a weight adjustment amount, a fat addition adjustment amount, and an muscle adjustment amount may be included in the weight adjustment data.

Also, the physical fitness diagnostic data may be measurement data related to at least one of muscular endurance, instantaneous power, flexibility, cardiovascular endurance, agility, and strength.

In addition, the information providing step may provide the disease prediction data predicted according to the difference between the actual exercise result and the predicted value.

The body balance measuring system according to the present invention can provide body composition analysis data of a plurality of measurers and exercise schedules for measuring exercise capacity.

In addition, the body balance measuring system according to the present invention can more precisely calculate a position and a movement path of a measurer, so that a plurality of measurers can measure a body balance according to their schedules without inconvenience, and maximize the exercise effect.

In addition, the present invention can acquire data close to the actual body development degree and provide an exercise schedule considering the data.

1 is a block diagram illustrating a body balance measurement system in accordance with an embodiment of the present invention.
2 is a side view showing a shoe for measuring bio-information according to an embodiment.
3 is an exploded perspective view showing a sole of a shoe for measuring bio-information according to an embodiment.
FIG. 4 is a schematic view showing a state and a use example of a heart rate measuring unit according to an embodiment.
5 is a schematic view showing an example of using a heart rate measuring unit according to another embodiment.
6 to 9 are graphs showing body composition data and basic body information measured by the body composition analyzing unit according to an embodiment.
10 to 18 are graphs showing various exercise ability measurement data measured by the exercise ability measuring apparatus.
19 is a chart illustrating a recommended exercise schedule according to one embodiment.
20 is a chart illustrating a recommended diet according to one embodiment.
21 is a flowchart illustrating a body balance measurement system according to an embodiment.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the absence of special definitions or references, the terms used in this description are based on the conditions indicated in the drawings. The same reference numerals denote the same members throughout the embodiments. For the sake of convenience, the thicknesses and dimensions of the structures shown in the drawings may be exaggerated, and they do not mean that the dimensions and the proportions of the structures should be actually set.

The body balance measuring system according to the present invention will be described with reference to FIG. 1 is a block diagram illustrating an overall configuration of a body balance measurement system according to an embodiment of the present invention.

The body balance measuring system according to the present invention measures a body balance such as a degree of body development of a measurer based on the measurement of a body composition and an athletic performance of the measurer.

The body balance measuring system includes a guide unit 110, a heart rate measuring unit 120, an external force sensing unit 130, and a data transfer unit 140. The body balance measurement system includes a guide unit 110, a heart rate measuring unit 120, The body balance measuring system includes a body composition analyzer 50 and an exercise capacity measuring apparatus 300 that can be used by a measurer for measuring a body balance. The body balance measuring system includes a signal sensing unit 350, a schedule management server 400, An information management means 450 and an analysis server 500.

Hereinafter, each of the components will be described in detail.

The guide unit will be described with reference to Fig. The guidance unit 110 is a component to be worn or possessed by a measurer, and includes a movement path between the intra-measurement in-motion aptitude measuring devices 300 and information about a motion aptitude measurement mission to be performed using the aptitude- To the measurer.

The guide unit 110 may be implemented in various forms. For example, the guide unit 110 may be implemented as a voice guidance device such as an earphone, a headphone, and a hearing aid, and may be provided with a guide such as a mobile phone or a smart watch, have.

The heart rate measuring unit 120 measures the biometric information of the measurer, specifically, the heart rate of the wearer. The heart rate measuring unit 120 may be attached to various positions of the human body.

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, which involves about 70 cycles per minute. This is called heart rate (HR) or heart rate. It is also possible to record an electrocardiogram (ECG) instead of measuring the heart rate by detecting, amplifying, and recording the electrical change due to cardiac muscle contraction with electrodes attached to the skin. For example, the body part analyzer 50 may be replaced with the heart rate measuring unit 120 according to the present embodiment, and an electrocardiogram measuring device or the like may be provided in the body part analyzer 50 described later. However, it is preferable to use the heart rate measuring unit 120 according to the present embodiment because it is necessary to measure the heart rate even during the movement between the apparatuses 300 and the cost measuring apparatuses 300.

Human body parts that can measure heart rate include the wrist (radial artery, ulnar artery), neck (carotid artery), the inside of the elbow or below the biceps The posterior tibial artery of the foot, the center of the instep (dorsalis pedis), the posterior part of the knee (popliteal artery), the posterior tibial artery, Abdominal aorta (abdominal aorta) and the like. The heart rate measuring unit according to the present embodiment can measure the heart rate of a measurer by attaching to various parts of the human body. Embodiments of the heart rate measuring unit 120 will be described later in detail.

The external force sensing unit 130 measures the load applied to the foot of the user who is stopping or exercising. That is, the external force sensing unit 130 measures the load according to the weight of the measurer when the measurer is stopped, and measures the load according to the weight of the measurer and the amount of impact when the measurer is moving or moving.

The data transfer unit 140 transmits the signals used to identify the position of the measurer and the biometric information of the measured user attached to each of the users. Specifically, the data transmission unit 140 transmits identification information, signal strength information (RSSI), and biometric information of the measurer measured from the heart rate measuring unit.

At this time, the identification information means an identification code given for identification of the measurer. The signal strength information (RSSI) indicates a received signal strength, and is used to measure the position of a measurer using the strength of a signal received by the signal sensing unit 350, which will be described later.

The data transmission unit 140 periodically transmits the above-described identification information, signal strength information, and biometric information of the measurer. Further, the data transmission unit 140 further transmits a comparison synchronization signal which is different in counting every periodical signal transmission.

The comparison synchronization signal is used to identify the end of the data packets transmitted periodically and is used to determine whether the signal detected by the plurality of signal sensing units 350 is a synchronization signal, do.

The data transmission unit 140 can transmit data based on the Bluetooth short-range communication standard. Preferably, the data transfer unit 140 uses Bluetooth specification 4.0 or later. Version 4.0 adds a Bluetooth low energy (BLE) specification that allows unrestricted use of lower-power limited specifications to the Classic speed specification up to version 3.0. Depending on the Bluetooth Low Power (BLE) specification, you can send a signal that tells you the distance between the transmitter and receiver along with the data. That is, the data transfer unit 140 according to the present embodiment may be implemented with a beacon.

Meanwhile, the data transmission unit 140 may further transmit identification information of other paired devices that the measurer uses or wears. For example, when the measurer separately mounts a heart rate measuring device, the devices may be paired with the data transmitting unit 140 to transmit data, and the data transmitting unit 140 may transmit identification information of the paired devices, The measured biometric information can be transmitted.

The shoe for measuring bio-information according to one embodiment will be described with reference to FIGS. 2 and 3. FIG. FIG. 2 is a side view showing a shoe for measuring bio-information according to an embodiment, and FIG. 3 is an exploded perspective view showing a shoe of a shoe for measuring bio-information according to an embodiment.

The shoe 200 according to the present embodiment is used as a biometric information measuring device for measuring a body balance of a specific measurer within a certain measurement area. The shoe 200 for measuring bio-information according to the present embodiment includes a heart rate measuring unit 120a as shown in FIGS. The heart rate measuring unit 120a may be integrally formed on the upper rear surface of the body 220 of the shoe 200 for measuring bio-information. The heart rate measuring unit 120a can be attached to the human body in a manner that it is wound around the posterior tibial artery, that is, the ankle.

In another embodiment, the heart rate measuring unit may be provided at the instep portion of the body 220 of the shoe 200 in order to measure the heart rate from the dorsal artery in addition to the posterior tibial artery.

Various sensors may be provided in the sole 210 of the shoe 200 for measuring bio-information. 3, the footwear 210 of the bio-information measuring shoe 200 includes a first external force detection sensor 211, a second external force detection sensor 215, and a third external force detection sensor 213 . A first receiving groove 2111, a second receiving groove 2151, and a third receiving groove 2131 are formed on the upper surface of the sole 210. The second receiving recess 2151 is formed at the heel portion of the sole 210 and the third receiving recess 2131 is formed at the center portion of the sole 210. The first receiving recess 2111 is formed at the toe portion of the sole 210, As shown in FIG. The first external force sensor 211 is accommodated in the first receiving recess 2111 to measure a load applied to the toe of the examinee and the second external force sensor 215 is accommodated in the second receiving recess 2151 The load on the heel of the measurer is measured. The third external force sensor 213 is accommodated in the third receiving recess 2131 to measure a load applied to the center of the sole.

The first to third external force sensors 211, 215, and 213 are used to measure a load caused by a measurer by being inserted into the sole 210 as described above. The acceleration sensor, the gyro sensor, the piezoelectric sensor, Or the like.

The first to third external force sensors 211, 215, and 213 are paired with the data transmission unit 140 according to the Bluetooth standard and transmit the measured data to the data transmission unit 140.

In the present embodiment, the data transfer unit may be included in the shoe. If the data transfer unit is implemented as a separate device, it is required to establish a wireless connection with each of the sensors. By including the data transfer unit in the shoe, data can be easily transferred to the external force detection sensor units 211, 213, and 215 through a simple wiring process.

The data transfer unit transmits the heart rate data measured by the heart rate measuring unit as described above. At this time, the data transfer unit may transmit the heart rate measured by the heart rate measuring unit only when the external force measured by the external force sensor units 211, 213, and 215 occurs below a certain intensity.

The load in the case of moving increases as compared with the case in which the measuring device is stopped. In the state where the measurer is stopped, only the load due to the weight of the measurer is measured in the external force sensor units 211, 213, and 215. However, when the measurer moves or moves, . Therefore, it is possible to determine whether the measurer moves or moves according to the absolute value of the load measured by the external force sensor units 211, 213, and 215 and the variation trend.

As an example using this, the data transmitting unit may transmit data measured by the heart rate measuring unit only when the external force measured by the external force detecting sensor units 211, 213, and 215 is less than a predetermined intensity, that is, As shown in FIG.

The reliability of the data measured by the heart rate measuring part may be degraded if the measurer moves or moves severely. Therefore, in order to ensure the reliability of such data, the heart rate data can be transmitted only when the measurer is not moving.

The heart rate measuring unit according to another embodiment will be described with reference to FIGS. 4 and 5. FIG. FIG. 4 is a schematic view showing a state and a use example of a heart rate measuring unit according to an embodiment, and FIG. 5 is a schematic diagram showing an example of using a heart rate measuring unit according to another embodiment.

Referring to FIG. 4, the second heart rate measuring unit 120b may be formed in a band shape. The second heart rate measuring unit 120b may be worn on the upper arm BA1 of the human body by introducing a Velcro structure. In addition, the second heart rate measuring unit 120b may include the Bluetooth module 127 to transmit the heart rate data measured by being paired with the data transfer unit. The heart rate measuring unit 120b according to the present embodiment measures the heart rate from the inside of the elbow or below the biceps, that is, from the brachial artery.

Meanwhile, as shown in FIG. 5, it is also possible to provide a third heart rate measuring part 120c in the chest part in order to measure the heart rate directly at a site adjacent to the heart.

The body composition analyzing unit will be described with reference to Figs. 1 and 6 to 9. Fig. 6 to 9 are graphs showing body composition data and basic body information measured by the body composition analyzing unit according to an embodiment.

The body component analyzer 50 is a component for analyzing body composition according to the BIA (Bioelectrical Impedance Analysis) principle. That is, the body composition analyzing unit measures the intracellular water, extracellular water, protein, mineral, and body fat through a resistance value measured by flowing a microcurrent to the human body. Thus, comparison of muscle mass between upper body and lower body, abdominal obesity, basic metabolic rate can be grasped. It is preferable that the body composition analyzing unit according to the present embodiment uses a broadband multi-frequency between 1 KHz and 1 MHz and separately measures the resistance of the arms and legs of the body to enable accurate body composition analysis.

In the body composition analyzer 50, various data can be measured. For example, as shown in FIG. 6, body composition analysis such as ICW, ECW, protein, minerals, and body fat can be performed, and skeletal muscle-fat content such as body weight, skeletal muscle mass and body fat can be measured. You can also measure body balance based on data and weight associated with obesity.

7 and 8, the body composition analyzing unit 50 also includes evaluation indexes such as nutrition evaluation, weight management status, obesity diagnosis result, body balance result, body strength status, As a result, the degree of development of the body can be quantitatively evaluated and presented. In addition to these items, biometric information such as basal metabolic rate and blood pressure can be further measured.

The exercise capacity measuring apparatus will be described with reference to Figs. 1 and 10 to 18. Fig. 10 to 18 are graphs showing various exercise ability measurement data measured by the exercise ability measuring apparatus.

The athletic performance measuring device 300 is a component for measuring the athletic performance, etc., provided in a plurality of measurement areas. In this case, the measurement area means a certain area formed for measuring the athletic performance. The exercise capacity measuring device 300 can be implemented by providing a plurality of exercise devices and devices for measuring the result of exercise performance in such a zone.

However, the exercise capacity measuring device 300 is not limited to the combination of the exercise machine and the result measuring device, but may be a measuring device for measuring a predetermined space and a result of performing exercise or an input device for receiving input for performing a specific exercise such as sit- It is also possible to implement.

In the exercise capacity measuring device 300, various exercise items can be measured. Specifically, as shown in FIG. 10, the exercise ability of the examinee is measured by dividing into seven items of muscle strength, flexibility, agility, cardiopulmonary endurance, power, muscle endurance and balance. One or more exercise missions are assigned to each item and the result of the exercise is measured. As shown in FIGS. 11 to 18, the muscular strength and the muscle force are measured, and the muscle strength is evaluated according to the result of the measurement. The aerobic bike, the sit-up, the high jump, the long jump, the sit- , Eyes closed, and a climber, and the rest of the items are evaluated.

The signal sensing unit 350 will be described with reference to FIG.

A plurality of signal sensing units 350 are provided in the measurement area. The signal detection unit 350 receives a signal transmitted from the data transmission unit 140 that the user has or wears. As described above, the signal sensing unit 350 preferably transmits and receives signals using the Bluetooth protocol, in particular, the Bluetooth low power (BLE) specification, with the data transmission unit 140. The signal received by the signal sensing unit 350 is transmitted to the location information management unit 450.

The signal sensing unit 350 may include at least three signals within a reachable range of the signal of the data transmission unit 140 based on a certain point in the measurement region. In this way, the same signal is received from at least three signal detecting units 350 and transmitted to the position information managing unit 450 in a different route.

The location information management means 450 will be described with reference to FIG. The location information management unit 450 receives data from the signal sensing units 350 as described above. Signals originating from a data transmission unit of a single measurer are transmitted to the position information management unit 450 via at least three different signal sensing units 350. Specifically, the positional information management unit 450 receives at least three signals from the signal sensing unit 350, including the measurement person identification information, the signal strength information (RSSI), and the biometric information of the measurer. At this time, it is possible to further determine whether the received signals are signals transmitted at the same time and at the same time.

On the other hand, the position information management means 450 may further include signal interference correction means (not shown).

The signal interference correcting unit may correct the signal intensity information transmitted from the data transmitter attached to the specific measurer to a predetermined additive value when the signal interference compensator is calculated to have the other measurer positioned between the specific signal sensor and the specific measurer. For example, when the position of a certain measurer A is calculated through the position information management means 450 or after the position of another measurer B is located between the specific signal sensing unit 350 and the measurer A after calculation, The signal of the measurer A which is received by the measuring device A can be corrected by adding a preset addition value.

The schedule management server 400 will be described with reference to FIG. The schedule management server 400 transmits the distribution information, that is, the exercise schedule information, to each of the guide units that each measurer has or wears to distribute the plurality of measurers to the plurality of athletic performance measuring apparatuses. It is preferable that the schedule management server 400 is formed so as to include location information management means in the same server. That is, the schedule management server 400 receives the identification information, the signal strength information, and the biometric information from the signal sensing unit 350, identifies the measurer that transmitted the signal, detects the position of the measurer within the measurement region, And transmits the exercise schedule to the guide of the corresponding measurer.

In this process, the schedule management server 400 may calculate the movement path of the specific measurer by arranging the calculated position data of the plurality of specific measurers in accordance with the counting order of the comparison synchronous signals used for calculation of the respective position data .

An analysis server will be described with reference to FIG. The analysis server 500 calculates the degree of body balance using the exercise ability measurement data transmitted from the exercise ability measurement apparatus 300 and the data measured by the body composition analysis unit 50.

The analysis server 500 includes a motion setting means 510, a predicted value calculating means 520, and an analyzing means 530.

The exercise setting means 510 provides the exercise schedules set based on the exercise schedule for the basic heart rate measurement and the measured basic heart rate. The term "basic heart rate" refers to the resting heart rate measured by inducing a measurer to a stable state through light exercise and / or rest.

<Table 1>

<Table 2>

As shown in Table 1 and Table 2, the heart rate of the rest is lower than that of the female, and the people who perform the exercise profession like the athlete tend to be lower. By measuring the basic heart rate, an exercise schedule suitable for the measurer can be set. In other words, the exercise setting means 510 provides the schedule management server to guide the exerciser to exercise schedules such as relaxation and / or light exercise.

The exercise setting means 510 estimates a suitable exercise time, exercise frequency and exercise intensity based on the body composition data / analysis data of the measurer measured by the body composition analyzer 50 and the basic heart rate, To set the exercise schedule to be provided to the measurer.

The motion setting means 510 also provides a plurality of equivalent motion schedules for the measurer to the schedule management server. Here, the equivalent exercise schedule means a plurality of exercise schedules having different types but different strength, time, and number of times. When the motion setting means 510 provides a plurality of equivalent motion schedules to the schedule management server 400, the schedule management server 400 distributes the motion vectors of the plurality of measurement motors among the plurality of equivalent motion schedules so that they do not overlap each other, And to guide the exercise course and contents.

The predicted value calculating means 520 calculates a predicted value of the result of the exercise schedule set by the exercise setting means 510 based on the above-mentioned basic heart rate and body composition data / analysis data.

On the other hand, during exercise, our body needs more oxygen than usual, and the greater the exercise intensity, the more oxygen required. So the heart runs faster and blood volume and heart rate increase. In other words, since exercise intensity can be determined by heart rate measurement proportional to oxygen demand, the most effective way to measure exercise performance is to estimate exercise intensity by measuring heart rate.

The method of obtaining the exercise intensity (target heart rate) by using the heart rate is largely a maximum heart rate percentage method which is determined by considering only the maximum heart rate and the spare heart rate percentage method considering the heart rate at the time of stabilization, but the present embodiment uses the spare heart rate percentage method .

The range of target heart rate to improve aerobic capacity is 60 to 80% in ideal percentage heart rate. The allowable heart rate can be calculated by subtracting the initial heart rate from the maximum heart rate and the target heart rate upper limit value and the lower limit value in consideration of the exercise intensity can be calculated by Equation 1 and Equation 2 below.

[Formula 1]

Target heart rate upper limit value = ((220 - age) - basic heart rate) x 80% + basic heart rate

[Formula 2]

Target heart rate lower limit value = ((220 - age) - basic heart rate) x 60% + basic heart rate

The analyzing unit 530 calculates the exercise performance of the actual measurer by comparing the result of the exercise performed in the exercise process according to the exercise schedule with the predicted value described above. Specifically, a recommendation exercise and a diet as shown in FIGS. 19 and 20 are selected based on the body composition data / analysis data measured by the body composition analyzer 50 and the data based on the evaluation of the exercise performance.

In addition, the analysis server 500 may further include a disease prediction database (not shown) storing a set of possible disease data corresponding to the type of the difference between the actual exercise result and the predicted value. The analyzing means 530 may search the disease prediction database according to the type of the difference between the actual exercise result and the predicted value, and provide the disease prediction data when there is predicted disease data.

For example, if you have a heart attack with abnormal heart rate during exercise, you may have some degree of heart disease, and if your heart attack is triggered, your heart rate may fluctuate with some dizziness. Nausea. And respiratory distress. In this irregular arrhythmia, even if the heart runs faster, the effective pulse wave is not measured, so that the measured pulse rate may be small regardless of the heart rate.

In addition, the analysis server 500 may further include a restaurant database (not shown) having geographical information and menu information of a nearby restaurant based on the recommendation menu, and a restaurant recommendation that further provides nearby restaurant information corresponding to the selected recommended restaurant It is also possible to include means (not shown).

Referring to FIG. 21, a body balance measurement and information providing method using the body balance measuring system according to an embodiment will be described. 21 is a flowchart illustrating a body balance measurement system according to an embodiment.

As shown in FIG. 21, the body balance measuring system according to the present embodiment includes a body composition measuring step S10, a heart rate measuring step S20, an exercise schedule setting step S30, a comparison and correction step S40, S50).

Specifically, in the body composition measuring step S10, the body composition analyzing unit described above measures the body composition of the measurer. Next, in the basic heart rate measuring step S20, the heart rate measuring unit measures the basic heart rate of the measurer.

In the exercise schedule setting step (S30), the analysis server sets the exercise schedule based on the body composition and the basic heart rate, and calculates the predicted value of the exercise performance result according to the exercise schedule.

In the comparative correction step S40, the analysis server compares the result of performing the exercise performed in the exercise process according to the set exercise schedule with the predicted value to correct the body composition measurement data.

In the information providing step S50, the analysis server provides a recommendation exercise and a diet based on the corrected body composition measurement data. At this time, in the information providing step S50, the body balance analysis data including at least one of the body composition analysis data, the obesity diagnosis data, and the body weight adjustment data, and the physical fitness diagnostic data measured from the exercise capacity measuring apparatus and the heart rate measuring unit have.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. have.

110:
120: heart rate measuring unit
130:
140: Data transfer unit
200: Footwear for measuring biometric information
300: exercise capacity measuring device
350:
400: Schedule management server
450: location information management means
500: Analysis server
510: motion setting means
520: predicted value calculating means
530: means of analysis

Claims (10)

A system for measuring a body balance of a plurality of measurers within a constant measurement area,
A plurality of exercise capacity measuring devices provided in the measurement area;
A guide unit for guiding movement information in the measurement area and information on a exercise capacity measurement mission to be performed using the exercise capacity measurement device to the measurer;
A heart rate measuring unit attached to each of the plurality of the examinees to measure biometric information of the examinee;
A data transmission unit attached to each of the plurality of users, for transmitting identification information, signal strength information (RSSI), and biometric information of the user measured by the heart rate measurement unit;
A signal detecting unit provided in plurality in the movement path of the measurer in the measurement area and in the periphery of the exercise ability measuring device and transmitting and receiving the pilot signal transmitted from the data transmitter and the biometric information of the measurer; And
And a controller that receives the identification information, the signal strength information, and the biometric information from the signal sensing unit, identifies the measurer that transmitted the signal, detects the position of the measurer within the measurement area, And a schedule management server for transmitting the distribution information to the guide unit so as to distribute the distribution information to the guide unit. The method according to claim 1,
Wherein the data transmission unit periodically transmits the identification information, the signal strength information, and the biometric information of the measurer. 3. The method of claim 2,
Wherein the signal sensing unit includes at least three signals within a range of a signal transmitted from the data transmitting unit based on an arbitrary point in the measurement region. The method of claim 3,
Wherein the data transmission unit further transmits a comparison synchronization signal which is different in counting each time the periodic signal transmission is performed,
Wherein the schedule management server compares signals transmitted from the three or more signal sensing units with signals having the same identification number and the comparison synchronization signal, and calculates a position of a measurer transmitting the signal. 5. The method of claim 4,
Wherein the schedule management server calculates the movement path of the specific measurer by arranging the calculated position data of the plurality of specific measurers in accordance with the counting order of the comparison synchronous signals used for calculating the respective position data. The method according to claim 1,
Wherein the schedule management server includes signal interference correction means for performing signal interference correction by reflecting position information of another measurer. The method according to claim 6,
Wherein the signal interference correcting means corrects the signal intensity information transmitted from the data transmitting unit attached to the specific measurer to a predetermined additive value when it is calculated that the other measurer is located between the specific signal detecting unit and the specific measurer, .
Wherein the signal interference correcting means corrects the signal intensity information transmitted from the data transmitting unit attached to the specific measurer to a predetermined additive value when it is calculated that the other measurer is located between the specific signal detecting unit and the specific measurer, . The method according to claim 1,
Wherein the data transfer unit transmits data based on a Bluetooth short-range communication standard. The method according to claim 1,
And a body balance analysis server for calculating a body balance degree using the exercise ability measurement data transmitted from the exercise ability measurement apparatus. 10. The method of claim 9,
Further comprising a body composition analyzing unit for analyzing a body composition of the subject by bioelectrical impedance analysis (BIA)
Wherein the body balance analysis server calculates a body balance degree of the measurer by reflecting the body composition measured by the body composition analyzer.

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