KR101918854B1 - Health machine control system that reflects stress and bio index - Google Patents

Abstract

The present invention relates to a healthcare machine control system reflecting stress and bio indexes, which calculates stress index of a user through questionnaire information inputted by the user and measured information using various bio-signals of the user, and which provides optimized massage to the user by reflecting the calculated index, thereby achieving an effective customized control. The control system comprises: a collection unit; a questionnaire input unit; a calculation unit; a database; a driving unit; a monitoring unit; and a control information generation unit.

Description

[0001] HEALTH MACHINE CONTROL SYSTEM [0002] HEAT REFLECTS STRESS AND BIO INDEX [

The present invention relates to a fitness machine control system, and more particularly, it relates to a fitness machine control system that calculates a user's stress index through measurement information using a user's inputted questionnaire information and various bio-signals, and optimizes massages and massages To a healthcare device control system that reflects a stress and a living body index so that effective customized control can be provided.

People living in complex modern society such as workers, students, and housewives are exposed to a variety of stresses. Due to the development of high-level technology and medicine, there is a growing interest in health as well as an increase in national income, The demand for medical welfare is increasing rapidly due to the increase of the elderly population due to social entrance.

As the need for health care is increasing not only for patients and the elderly but also for the elderly, there is a growing interest in emotions such as mental loneliness, depression and stress as well as concerns about physical health. There are many ways to find the stability of.

As a representative method for this, various leisure activities, especially exercise, can be mentioned, but the substantial time and economic costs are required, so that most people can not afford it. In addition, most people can not easily start exercising because of muscular and muscular aches after the exercise in the absence of regular exercise and management. In addition, there are many cases in which the need for exercise is reduced and the initial goal is not achieved .

In addition to the lack of exercise, a professional massage (massage) is required to solve the muscles that are stuck or misaligned in the normal life. In recent years, electric massage massagers have been used for home and various health care facilities And it is also used in the market.

A conventional massage machine is configured in a chair shape to massively massage the neck, shoulder, back, buttocks, legs, arms, and the like, and recently, a microcomputer is configured to control various parts such as a massage part, a massage type, and a massage speed have.

However, since there is a limitation in grasping the specific state and characteristics of the user in a systematic manner, only a fragmented programmed massage that does not reflect the situation is performed. Therefore, the user's body and psychological state are accurately reflected, There is also a need for measures to relieve stress.

Therefore, development of emotional products considering user 's emotional function is actively performed. Especially, multitasking and massaging products for reducing stress are being studied, and contents of emotional health care device There have been attempts to control more sensitive emotional treatment by controlling the I-mode, but no specific measures have been made yet.

Japanese Patent Application Laid-Open No. 10-2015-0092517 (2015.08.13)

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a user-customized optimal massage < RTI ID = 0.0 > and / And to provide a fitness device control system that reflects a stress and a bio-index that allows massage to be performed.

In order to achieve the above object, according to the present invention, there is provided a control system for a health care apparatus having a massage unit for performing a muscle massage on a selected part of a user's body. The control system includes a collection unit for collecting body fat and heart rate variability ; A calculation unit for generating a user's stress score through the heart rate variability; A driving unit for driving and controlling the massage unit, wherein a driving mode, a strength, a time, and a cycle are set in a stepwise mode according to body fat and a stress score; A monitoring unit for tracking changes in heart rate variability and stress score during driving of the massage unit; A customized control information generating unit for controlling the driving unit to select a mode in which the stress to be traced is lowered through the monitoring unit; .

In this case, the calculator calculates the Fourier spectrum of the heart rate variability, obtains the low frequency domain integrated value and the high frequency domain integrated value, differentiates the score according to the deviation from the normal range, and gives a relatively large weight to the low frequency domain integrated value, .

A questionnaire input unit for providing a questionnaire item for stress diagnosis to a user through an interface unit operable by a user and inputting questionnaire information on a corresponding answer; And the calculating unit may calculate the stress score by reflecting the score generated through the questionnaire information on the stress score generated through the heart rate variability.

In addition, the heart rate variability is preferably obtained by measuring the vascular pulse wave or electrocardiogram.

According to the present invention, the stress state of the user can be grasped more accurately, and the user-customized massage for controlling the shape, intensity, time, and cycle of the massage reflecting the body fat is performed, thereby achieving an effective stress relaxation effect.

In addition, it can collect stress scores monitored in real-time during various constitution and massage mode changes and continuously acquire data to classify stress according to constitution and apply it to various emotional devices and contents for mental and physical stability.

1 is a conceptual diagram of the present invention,
2 is a block diagram illustrating a configuration and a connection relationship according to a preferred embodiment of the present invention.
3 is a graph showing the division of the HRV spectral region,
4 is a table showing experimental results of heart rate variation according to a massage mode.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a configuration of a healthcare instrument control system that reflects the stress and the living body index of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a conceptual view of the present invention. The present invention relates to a technique relating to control of various healthcare apparatuses 100 represented by a massage machine having a massage unit 101 for performing a muscle massage on a selected part of a user's body .

Specifically, the healthcare device is a chair type massage device as shown in the attached drawings, and includes a seat plate for supporting a backrest and a buttock which surround a shoulder and a rear part, an armrest, and a shape supporting a leg and a foot, It is possible to apply the present invention to an apparatus that performs partial massage from a device that performs massaging through the massaging unit 101. In the present invention, since various known technologies are applied to the healthcare device 100 and the massage unit 101, detailed description thereof will be omitted in order to prevent blurring of the gist of the present invention.

2 is a block diagram illustrating a configuration and a connection relationship according to a preferred embodiment of the present invention. The present invention includes a collecting unit 110, a calculating unit 120, a question input unit 130, a driving unit 140, A monitoring unit 150, a control information generating unit 160, and a database 170. [0031]

The collecting unit 110 collects body fat and heart rate variability through physical contact of the user. The fat in the body is the nutrients that are consumed in the body, and the nutrients that are left in the body are accumulated in the body. If necessary, the energy is decomposed, but if the amount is large or small, it is harmful. Especially, the effects of massage and massage Since it is confirmed that there is a difference according to the body fat, the present invention reflects the measurement result to the massage control.

In the present invention, the measurement of body fat is performed using a difference in bioelectrical impedance of the human body depending on the amount of body fat, and a plurality of electrodes are installed at a portion where the body contact is easy, such as a handle or footrest of the healthcare device 100 , The external power source and the measuring means are connected to measure the impedance flowing into the body.

In addition, the heart rate variability can be obtained by measuring vascular volume pulse waves or electrocardiogram. Heart rate refers to the heart rate of the heart, which is usually consistent with the pulse rate experienced by the radial artery. For this, a PPG (Photoplethysmography) sensor or an electrocardiogram electrode is provided on the handle of the healthcare device 100 to obtain a heart rate variability (HRV), which is a change with time of the heart rate.

The questionnaire input unit 130 provides questionnaire items for diagnosing stress to the user through the interface unit 102 that can be operated by the user, and inputs questionnaire information about the corresponding answers. The interface unit 102 may be installed at a position where the user can access the health care apparatus 100 at all times during the use of the health care apparatus 100 so that the user can answer the questionnaire information provided in addition to the overall control of the healthcare apparatus 100.

Specifically, the questionnaire items are classified into physical information, behavior information, and psychological / emotional information, and a variety of questionnaires made to evaluate the stress state can be applied. As a representative example, it is possible to use 98 life-event evaluation items developed by Lee PS as a stress evaluation tool developed in Korea considering cultural differences and methods of evaluating stress based on important events in life by Holmes and Rahe method .

In addition, BEPSI (Brief Encounter Psychological Stress Instrument) or BEPSI-K, which translates the closed 5 items of BEPSI, is used as a method of assessing stress by creating a set of questions that can assess current stress conditions, Psychological Well-being Index (PWI) questionnaire, which is a psychological health measurement tool, PWI-SF, some types of stress questionnaires used in public health centers or hospitals.

At this time, rather than the more complicated form of questionnaire, it is possible to input the stress felt by the individual in a simple but intuitive way such as the Visual Analog Scale (VAS). It is known to be suitable as a psychological measurement tool for the general public who have no specific illness. It is a method to measure the subject's subjective stress level, (No stress, 10: very severe stress), and the results are measured in units of mm. The results are averaged, and the changes in the massage before and after the group are compared.

The calculating unit 120 generates a user's stress score through the heart rate variability (HRV). The autonomic nervous system is a nervous system that maintains life sustaining activity and body homeostasis by regulating long-term function and metabolism and appropriately balancing the environmental changes in the body and in vitro. Since stress affects the activity of the autonomic nervous system, And HRV, which is a tool to quantitatively evaluate the activities of parasympathetic nerves.

In other words, the heart is under the control of the brain and autonomic nervous system. Stress stimulates the autonomic nervous system through brain recognition, which leads to cardiovascular changes.

Based on the fact that heart rate variability decreases in stressful groups and that HRV frequency spectral values decrease in patients who experience stress and fatigue, healthy individuals should be within moderate range of heart rate variability, The stress score of the individual is calculated according to the degree of deviation.

Therefore, in a preferred embodiment of the present invention, the calculating unit 120 obtains a low frequency region integration value (LF) and a high frequency region integration value (HF) by obtaining a Fourier spectrum of the heart rate variability, And the stress score is calculated by giving a relatively large weight to the low frequency domain integrated value.

As shown in Equation (1), LF is the integration value of the low frequency spectrum up to 0.05 to 0.15 Hz of HRV, and HF is the high frequency spectrum integration value from 0.15 to 0.40 Hz.

FIG. 3 is a graph showing the division of the HRV spectral region. The horizontal axis represents LF, and the vertical axis represents HF. The result of frequency analysis of HRV is divided into nine regions and associated with the activity of autonomic nerves. As shown in FIG. 3, if the coordinate value of the HRV frequency is in the 5th area, a score is given. If the coordinate value is located in the other area, the score is set to be lower according to how far the HRV frequency falls in the 5th area. That is, the 5th region is the range of LF and HF in the case of normal persons.

When the LF and HF values are lowered, the autonomic nervous activity is lowered due to stress. When the LF value is higher than the normal range, the tense state is exhibited. If the HF value is higher, the risk of arrhythmia is increased. Therefore, in the present invention, a stress score calculation method is used in which the scores are reduced when the LF and HF are in the normal range and the score is lowered according to the deviation from the normal range.

At the time of calculating the LF score, as shown in Equation (2)

- Area 5 is one point,

- The area of 1, 4, and 7 decreases to 0 in proportion to the distance from the left boundary of area 5,

- Areas 3, 6, and 9 decrease in proportion to the distance from the right border of the 5th area to 0.5 point.

At the time of calculating the HF score, as shown in [Equation 3]

- Area 5 is one point,

- The 7th, 8th, and 9th regions are reduced to 0 points in proportion to the distance from the lower boundary of the 5th region,

- The 1, 2, and 3 areas decrease to 0.5 in proportion to the distance from the upper boundary of area 5.

The stress measurement score is calculated as shown in [Equation 4], and considering that LF is more related to stress than HF, it calculates LF and HF with weighting factors of 2/3 and 1/3 respectively .

Of course, the stress score may be calculated through the heart rate variability. However, the calculation unit 120 may be configured to finally calculate the stress score by reflecting the score generated through the questionnaire information on the stress score generated through the heart rate variability .

That is, the score generated by the questionnaire and the score generated through the heart rate variability can be given a score of 100 and a stress score of 50%.

The driving unit 140 basically drives and controls the massage unit 101. The driving mode, the intensity, the time, and the cycle are set to the step-by-step mode according to the body fat and the stress score. For this purpose, the database 170, in which the driving mode of the massage unit 101 divided into the tapping and the kneading in the ordinary massage, and the strength, the time, and the cycle or the speed of the tapping or kneading are stored corresponding to the body fat and the stress score, And the massage mode is constructed in advance through a theoretical method. In each mode, a step range is set, and a massage mode that is differentiated in stages is performed within the set time and range.

The monitoring unit 150 continuously monitors the change of the heart rate variability and the stress score while the massage unit 101 is operating, i.e., when the user is receiving a massage. In this case, since the heart rate variability can be measured substantially in real time, it is possible to continuously calculate the stress score according to the method described above, and it is not preferable to receive the questionnaire information in real time during the massage. Therefore, It is possible to receive separate questionnaire information after massage to generate optimal control information in the future.

The customized information generating unit 160 controls the driving unit 140 to select a mode in which the stress to be traced is low through the monitoring unit 150. That is, in the present invention, the higher the stress score, , So that a mode in which the stress score generated by the user is high is selected.

In other words, as mentioned above, the massage is changed in the step-by-step mode within the setting range and the user lowers the stress in the most optimal mode for the user, so that the massage is tracked and reflected in the customized control information So as to control the driving unit 140.

[Experimental Example]

According to the present invention, the massage test and the optimal massage mode according to the analysis of the vital signal according to the massage mode are as follows.

The subjects were composed of healthy adults with no specific disease, and the massage mode of the chair type electric massage fitness device and the heart rate displacement analysis by measuring the pulse wave before and after the stiffness. The subjects were 10 persons (n = 10).

Male students (n = 10) Female students (n = 10) Variable Group (M ± SD) Variable Group (M ± SD) Age (yr) 23.46 + - 2.45 Age (yr) 22.31 + - 2.31 Height (cm) 171.31 + - 3.12 Height (cm) 162.37 ± 3.14 Weight (kg) 65.36 ± 5.69 Weight (kg) 57.24 + 4.67

A total of three experiments were conducted to investigate the effect of a chair massage massage device on stress using a questionnaire (Visual Analog Scale (VAS)) as an experimental tool.

 Table 2 shows the performance of the chair type massage fitness device, and the massage mode medicine (tapping medicine, kneading medicine), steel (tapping steel, lapping steel) were performed.

mode Performance Kneading mode Approximately: 30 times / minute Of: 43 times / minute River: 48 times / minute Tap mode Approximately: 569 times / minute Of: 638 times / minute River: 710 times / minute

At the time of measurement, keep at 20 ~ 25 ℃, which does not feel the heat or cold, to the place where it is blocked from the outside noise I had time.

Also, coffee (caffeine), smoking and drug intake were prohibited 12 hours before the test, and the meal was completed two hours before. The posture was measured while resting on the back with the leg resting on the back.

Electrocardiogram (ECG) was used for ECG measurement and the heart rate deviation was obtained by analyzing the obtained ECG signals.

 SDNN, complexity, HRV index, RMSSD, SDSD and HR were measured by time domain analysis.

(LF / HF) for the whole frequency intensity (TP), the low frequency region (LF), the high frequency region (HF) and the high frequency region were measured by frequency domain analysis.

Statistical analysis program SPSS 15.0 (SPSS, Chicago, USA) was used to analyze the data. The mean and standard deviation were calculated for all data.

In order to test the difference between the groups' dependent variables before and after the massage, repeated measures paired-samples t-test were used and the Bonferoni method was used for post-test.

FIG. 4 is a table showing experimental results of heart rate variation according to a massage mode. As a result of the experimental result, the hypothesis that the visual tress stress value will be lower in the experimental group after the massage than in the control group is analyzed. If p <0.05, the difference between before and after was significant and the result was significant.

As a result of analyzing the hypothesis that there is a change in the parameters related to relaxation through activation of parasympathetic nerves among the parameters of heart-beat mutation after massage, the LF in the massage mode was statistically decreased after massage, The LF / HF ratio was statistically significantly decreased after massage compared to before massage.HR was significantly lower in the three groups of relaxation mode, massage mode, and massage mode compared to before massage There was statistically significant difference between the two groups, and when the difference was smaller than P <0.05, the difference was significant.

The HR (Heart Rate), a time-domain parameter, is used as a stress analysis index by rising from a stress state or an excited state. SDNN (Standard Deviation of all the normal RR intervals) is used to control the body's autonomic nervous system The higher the value, the better the cardiovascular stability. The SDSD (Stadard Deviation Difference Between Adjacent Normal to Nomal Intervals) is a value that reflects short-term heart rate changes. The higher the SDSD value, the more active the parasympathetic nerve.

Next, the experiment was performed to examine the massage effect and the optimal massage mode according to the body fat-skeletal muscle amount. The subjects were composed of healthy subjects without any specific disease and consisted of 11 subjects (total 44 persons) in each of the four groups .

As shown in [Table 3], the subjects were divided into 4 groups according to body fat amount and muscle mass using a body fat measuring machine, and 11 subjects were tested for each group.

Group settings Subject
(n = 44) Massage mode Muscle-Fat Body Fat Low
Muscle mass low n = 11

Tap mode (weak, strong)

Kneading mode (weak, strong) Body fat: 8.57 ± 2.17kg
Muscle Weight: 24.98 ± 5.10kg Body Fat Low
Muscle mass n = 11 Body fat: 7.20 ± 1.33kg
Muscle weight: 31.81 ± 4.26kg Body fat
Muscle mass low n = 11 Body fat: 19.36 ± 4.13kg
Muscle weight: 27.69 ± 4.66kg Body fat
Muscle mass n = 11 Body fat: 22.65 ± 14.39kg
Muscle weight: 35.48 ± 4.11kg

The same questionnaire (Visual Analog Scale (VAS)) was used as a test tool for testing the massage effect by body fat - skeletal muscle amount, and a chair massage machine and a heart rate variability measuring tool of the same performance were used.

The body composition of the subjects was measured by using a body composition meter to divide the group according to the amount of body fat and the amount of skeletal muscle. Based on the standard range, the total body mass (skeletal muscle mass) and the skeletal muscle mass Respectively.

- skinny group with less body fat and less skeletal muscle

- Muscle group with low body fat and high skeletal muscle

- Obese group with high body fat and low muscle mass

- Muscle obesity group with a lot of body fat and a lot of skeletal muscle

In order to determine the massage effect and the optimal massage mode according to body fat mass - skeletal muscle amount, body composition was measured using InBody 520, divided into four groups according to body fat mass and skeletal muscle mass. After the massage, the Visual Stress Scale (VAS), a questionnaire, was created and compared to obtain the subjective stress index of the subject.

To measure the subjective stress index of the subject, electrodes were attached to the left and right hands through a heart rate variability meter after massage and massage. The reference electrode and the ground electrode were attached to the back of both ears, and the eyes were closed in a relaxed state and the electrocardiogram was measured for 5 minutes And HR, SDNN and SDSD parameter values were obtained by analyzing them.

Massage was performed for each group for 15 minutes. Massage mode was performed by tapping (weak, strong) mode and kneading (weak, strong) mode.

As a result of the experiment,

1) Low body fat mass group As shown in Table 4,

HR decreased statistically significantly after massage in both tapping (weak, strong) and kneading (weak, strong) modes.

In the case of VAS, the value after massage was also statistically significantly decreased in all massage modes.

In the case of SDNN, it was confirmed that the value increased after massage in all massage modes. Especially, statistically significant increase was found in tapping medicine, kneading medicine, and kneading steel.

In the case of SDSD, the values were increased after massage in all massage modes. Especially, there was a statistically significant increase except for the kneading mode.

Tapping medicine Knock Kneading medicine Kneading steel HRV pre post pre post pre post pre post H R 76.90
(10.77) 69.80
(9.33) ** 75.10
(8.90) 69.60
(9.85) ** 77.50
(11.39) 72.30
(11.10) ** 77.56
(9.95) 71.44
(9.84) ** VAS 5.04
(1.34) 3.40
(1.77) ** 5.45
(1.42) 2.91
(1.70) ** 4.99
(1.85) 2.93
(1.30) ** 4.73
(1.54) 2.59
(1.36) ** SDNN 50.10
(13.93) 56.30
(10.93) * 49.60
(14.73) 53.50
(11.92) 44.60
(13.75) 53.30
(15.26) ** 43.44
(15.69) 52.56
(14.71) * SDSD 48.60
(19.91) 62.50
(24.83) ** 42.10
(15.88) 53.50
(25.01) * 41.80
(18.16) 55.90
(19.87) 41.33
(13.84) 49.22
(20.87) Growth rate 26.60% 27.07% 33.73% No statistical significance

2) Body fat low muscle mass As shown in Table 5,

HR decreased statistically significantly after massage in both tapping (weak, strong) and kneading (weak, strong) modes.

In the case of VAS, the value after massage was also statistically significantly decreased in all massage modes.

In the case of SDNN, the value increased after massage in the massage mode except for the kneading hard mode, and statistically significant increase especially in the kneading medicine and kneading medicine.

In the case of SDSD, the value increased after massage in the massage mode except for the kneading mode, and the increase was statistically significant especially in the mode of the tapping mode.

Tapping medicine Knock Kneading medicine Kneading steel HRV pre post pre post pre post pre post H R 70.14
(10.45) 62.43
(9.81) ** 70.57
(14.68) 61.86
(12.28) 71.71
(16.95) 63.86
(14.87) ** 69.29
(14.21) 61.71
(15.39) ** VAS 4.79
(1.32) 3.39
(1.15) ** 3.93
(1.43) 3.54
(1.65) ** 3.54
(1.65) ** 2.04
(1.22) ** 4.26
(1.19) 2.54
(0.70) ** SDNN 45.86
(13.91) 55.29
(19.44) * 51.00
(20.75) 55.57
(17.60) 48.57
(17.29) 56.71
(21.84) * 50.57
(19.70) 50.14
(12.65) SDSD 38.71
(16.97) 53.57
(22.28) ** 45.29
(23.68) 55.57
(26.93) 46.71
(26.75) 52.14
(26.03) 48.00
(29.59) 46.71
(23.95) Growth rate 38.38% No statistical significance

3) Body fat and high muscle mass As shown in Table 6,

HR decreased statistically significantly after massage in both tapping (weak, strong) and kneading (weak, strong) modes.

In the case of VAS, the value after massage was also statistically significantly decreased in all massage modes.

In the case of SDNN, the value after massage was statistically significantly increased in all massage modes.

In the case of SDSD, the value increased after massage in all massage modes. Especially, the value increased significantly in the tapping mode and the tapping mode.

Tapping medicine Knock Kneading medicine Kneading steel HRV pre post pre post pre post pre post H R 82.55
(10.08) 74.36
(9.01) ** 75.27
(11.80) 68.64
(9.68) ** 77.18
(11.81) 70.78
(10.17) ** 77.64
(11.69) 71.91
(11.23) ** VAS 5.40
(1.61) 3.20
(2.02) ** 5.28
(1.65) 3.43
(1.54) ** 5.89
(1.05) 3.43
(1.38) ** 5.31
(1.67) 2.92
(1.04) ** SDNN 38.18
(14.11) 53.91
(18.32) ** 46.27
(12.78) 56.585
(13.86) ** 46.91
(16.21) 59.64
(14.87) ** 45.55
(14.90) 55.73
(15.92) * SDSD 30.09
(21.43) 44.55
(23.24) ** 39.64
(16.64) 52.27
(18.69) ** 40.91
(25.47) 45.00
(19.95) 39.91
(27.14) 45.64
(21.83) Growth rate 48.05% 31.86% No statistical significance

4) Body fat high muscle mass As shown in Table 7,

HR decreased statistically significantly after massage in both tapping (weak, strong) and kneading (weak, strong) modes.

In the case of VAS, the value after massage was also statistically significantly decreased in all massage modes.

In the case of SDNN, the value increased after the massage in the massage mode except the kneading hard mode. Especially, the statistically significant value increased in the tapping mode.

In the case of SDSD, the values were increased after massage in all massage modes, and a statistically significant increase was observed especially in the tapping mode.

Tapping medicine Knock Kneading medicine Kneading steel HRV pre post pre post pre post pre post H R 73.09
(11.75) 66.73
(9.54) ** 76.64
(12.64) 68.55
(8.52) 72.55
(14.58) 68.00
(13.92) ** 68.36
(12.69) 64.00
(8.85) VAS 5.92
(1.91) 3.93
(1.72) ** 6.01
(2.11) 2.82
(1.81) ** 5.80
(2.76) 3.18
(1.98) ** 5.91
(1.52) 3.17
(1.76) ** SDNN 41.64
(16.58) 49.45
(8.37) * 41.64
(11.11) 45.27
(13.48) 40.82
(12.91) 46.64
(10.04) 52.18
(15.11) 49.36
(14.54) SDSD 33.09
(16.77) 38.27
(14.52) * 29.73
(14.03) 37.18
(17.42) 35.18
(18.84) 39.73
(13.19) 38.36
(19.73) 41.09
(16.93) Growth rate 15.65% No statistical significance

HR, SDNN, SDSD, and VAS, which are the questionnaire, were analyzed to identify the massage effect and the optimal massage mode according to the amount of body fat - skeletal muscle.

HR and VAS values should be decreased during relaxation and SDNN and SDSD values should be increased. The results showed that HR and VAS values were decreased in all groups, SDNN and SDSD values were increased, and massage massage was effective for relaxation.

In order to identify the optimal massage mode, SDNN values that have the closest relationship with parasympathetic nerves are analyzed and the optimal massage mode is as shown in Table 8 below.

group Abnormal mode SDSD Increase Low fat body mass Kneading mode 41.80 ± 18.16
~ 55.90 ± 19.87 33.73% Body fat low muscle mass Tapping mode 38.71 + 16.97
~ 53.57 + 22.28 38.38% Body fat and muscle mass Tapping mode 30.09 + 21.43
~ 44.55 + 23.24 48.05% Body fat and muscle mass Tapping mode 33.09 + 16.77
~ 38.27 + 14.52 15.65%

It is to be understood that the invention is not limited to the disclosed embodiment, but is capable of many modifications and variations within the scope of the appended claims. It is self-evident.

100: Healthcare device 101: Massage unit
102: interface unit 110: collecting unit
120: Calculator 130: Questionnaire input
140: driving unit 150:
160: control information generating unit 170:

Claims (4)

A seat plate for supporting the shoulder and the back and a back plate for supporting the buttocks, an armrest, and a leg for supporting the legs, and performing a muscle massage divided into kneading and kneading on a selected part of the user's body 1. A control system for a healthcare device (100) having a plurality of massage units (101)
The body fat and heart rate variability are collected through the body contact of the user. A plurality of electrodes are installed on the body contact part, and the external power and measurement means are connected to measure the body impedance to measure the body fat. A collection unit 110 for measuring a heart rate variability;
A questionnaire input unit for providing questionnaire items for stress diagnosis to a user through a stress visual analogical scale method through a user-operable interface unit 102 before and after the use of the healthcare device 100 by the user, (130);
The stress score of the user is generated through the heart rate variability, and the Fourier spectrum of the heart rate variability is obtained. The low frequency domain integrated value and the high frequency domain integrated value are obtained. The score is differentiated according to the degree of deviation from the normal range, And the high frequency domain integrated values are respectively given weight values of 2/3 and 1/3 to calculate the stress score, and the stress score generated through the questionnaire information is reflected on the stress score generated through the heart rate variability to finally calculate the stress score A calculation unit 120;
A database 170 in which the driving mode of the massage unit 101 divided into tapping and kneading, the strength, the time, and the cycle, that is, the speed of tapping and kneading are stored corresponding to the body fat and the stress score;
A driving unit 140 drivingly controlling the massage unit 101 and setting a stepwise mode according to a driving mode, intensity, time, and cycle according to the body fat and a stress score according to the database 170;
A monitoring unit 150 for tracking a change in heart rate during driving of the massage unit 101 and a change in a stress score in a state in which the questionnaire information is excluded;
The control unit 140 controls the driving unit 140 to select a mode in which the stress to be tracked through the monitoring unit 150 is selected, generates control information reflecting the received questionnaire information after massage, and then the driving unit 140 A customized control information generating unit 160 for controlling the control information generating unit 160; And a controller for controlling the health device based on the stress and the bio index. delete delete delete

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