KR20180023350A - Obesity management system based on networks - Google Patents

Abstract

The present invention relates to an obesity management system based on a network, comprising: exercise equipment (100) which comprises a sensor (110) for measuring information related to body activities of a user; a terminal (200) which comprises an information detecting module (210) for detecting the information related to body activities measured by the sensor, a display means (220) for displaying the information related to body activities and service providing information received from a server, and a data transmitting/receiving module (240) for transmitting the information related to body activities in the information detecting module to the server or receiving the service providing information from the server; and the server (400) which comprises a communication module (410) for receiving the body activity related information transmitted from the data transmitting/receiving module of the terminal, a data storage unit (420) for storing the body activity related information of the user transmitted from the communication module, a data analysis unit (430) for analyzing data of the data storage unit, and a service providing unit (440) for transmitting services to the user based on the data of the data analysis unit. The present invention is able to be effectively applied to treatment and management of obesity.

Description

[0001] The present invention relates to a network-based obesity management system,

The present invention relates to a network-based obesity management system, and more particularly to an obesity management system for children and adolescents.

Children and adolescents Obesity patients have a great influence on the cause of life is a serious problem of lifestyle. Obesity is a major cause of lack of physical activity and nutritional intake, and it takes a lot of time to sit and spend without physical activity. In many cases, food is consumed quickly, or a large amount of food is taken at once. As such, in Korea, awareness of the seriousness of obesity in children and adolescents and planning and implementation of national plans for prevention and management of obesity are being developed. However, Limitations are the limitations of expecting continuous effects of business and reduction of obesity rate, which is the ultimate goal of management business. In order to solve these problems, we are going to manage the management of obesity management system on the basis of clinical process based on domestic and overseas guidelines, effectively and efficiently improving the lifestyle of obese patients to health care. According to the present invention, it is determined that there is a limit to inputting data directly by the user. In order to provide diverse and accurate data by linking the health tracker device with a mobile application and providing feedback through correct analysis, .

1. Korea Patent No. 0510282

An object of the present invention is to provide an exercise device (100) comprising a sensor (110) for measuring a user ' s physical activity related information; An information detecting module 210 for detecting physical activity related information measured by the sensor, display means 220 for displaying the physical activity related information and service providing information received from the server, A terminal 200 including a data transmission / reception module 240 for transmitting information related to physical activity to a server or receiving service provision information from a server described below; A communication module 410 for receiving the physical activity related information transmitted from the data transmission / reception module of the terminal, a data storage 420 for storing the physical activity related information of the user transmitted from the communication module, And a server (400) including a data analysis unit (430) for analyzing data of a storage unit and a service providing unit (440) transmitted to a user based on data of the data analysis unit will be.

According to an aspect of the present invention, there is provided an exercise device comprising: a motion device (100) including a sensor (110) for measuring a user's physical activity related information; An information detecting module 210 for detecting physical activity related information measured by the sensor, display means 220 for displaying the physical activity related information and service providing information received from the server, A terminal 200 including a data transmission / reception module 240 for transmitting information related to physical activity to a server or receiving service provision information from a server described below; A communication module 410 for receiving the physical activity related information transmitted from the data transmission / reception module of the terminal, a data storage 420 for storing the physical activity related information of the user transmitted from the communication module, A server 400 including a data analyzer 430 for analyzing data of a storage unit and a service provider 440 for delivering the data to a user based on the data of the data analyzer .

In one embodiment of the present invention, the exercise device 100 transmits information on the physical activity of the user to the information detection module 120 of the terminal 200 through the data transmission module 120 in the exercise device, (210).

In one embodiment of the present invention, the physical activity related information of the user may be the number of the user's walking, the walking distance, the calorie consumption, or the sleeping time.

In one embodiment of the present invention, the terminal 200 transmits information received from the exercise device 100 to the data storage 420 of the server 400 via the information detection module 210 , And may be received from the service providing unit 440 of the server 400 to the display unit 220.

In one embodiment of the present invention, the server 400 receives and stores physical activity-related information for each user from the terminal 200, analyzes the information related to the physical activity, Lt; RTI ID = 0.0 > service. ≪ / RTI >

In an embodiment of the present invention, the data storage unit 420 may store information related to a user's physical activity received from the terminal 200; Physical information including the user's gender, age, height and weight; Paper-based information including user's lifestyle, computer use time, TV viewing time, food loyalty selection tool; Nutrition information including calorie information calculated on the basis of the kind and intake of the user's intake food; And sleep information including the sleep time of the user.

In one embodiment of the present invention, the data analyzer 430 may analyze an obesity degree, a physical strength state, a nutrient intake state, an activity amount state, a bad lifestyle, a food craving state, or a sleeping time.

In one embodiment of the present invention, the service providing unit 440 may be provided with a service providing unit 440 for providing a kind of exercise, presenting exercise time, providing food craving suppression contents, providing a group training schedule, providing weight loss target amount information, Foot back or a custom content / program.

The obesity management system according to the present invention is an obesity management system for children and adolescents. The obesity management system collects information related to physical activity of children and adolescents, analyzes the data, and provides the service information It can be effectively applied to the treatment and management of obesity.

Figure 1 shows a schematic diagram of an obesity management system.
2 is a schematic diagram of the data analysis unit 430. As shown in FIG.
3 shows a schematic diagram of the service provider 440.
4 shows a flowchart for an obesity management system.
FIG. 5 is a flowchart illustrating the analysis of the degree of obesity in the data analysis unit 430.
6 shows the obesity state according to the body information.
FIG. 7 shows a flowchart for setting an obesity control target amount according to age and obesity index.

Hereinafter, the present invention will be described in more detail with reference to Examples. These examples are for further illustrating the present invention, and the scope of the present invention is not limited to these examples.

The present invention relates to a network-based obesity management system, which comprises an exercise device (100) for measuring physical activity related information of a user; A terminal (200) capable of detecting the physical activity related information measured by the exercise device and transmitting the information to the server and displaying the service providing information from the server; A network 300 connecting the terminal and the server; And a server (400) for storing information related to physical activity provided from the terminal and all the data obtained in offline and analyzing the data to provide a service required for obesity management to a user (Fig. 1).

The exercise device 100 collects information on the user's physical activity through the sensor 110 and transmits the collected information to the information detection module 210 of the terminal 200 through the data transmission module 120.

The terminal 200 processes information related to the physical activity received from the exercise device 100 in the information detection module 210 and can confirm the information through the display means 220, May be transmitted to the server 400 via the module 240. The service provided by the service providing unit 440 of the server 400 may be received through the data transmission / reception module 24 of the terminal 200 and may be displayed on the display unit 220 of the terminal 300 .

The network 300 corresponds to means for connecting the terminal 200 and the server 400 of the user.

The server 400 includes a data storage unit 420 for storing data on the user's physical activity received from the terminal 200 and offline data such as body information, document information, nutrition information, sleeping information, A data analysis unit 430 for analyzing data stored in a data storage unit and a service provider 440 for processing data in the data analysis unit and providing various services to each user.

The data analyzer 430 can analyze the obesity degree, the physical strength state, the nutrition consumption state, the activity state, the bad lifestyle, the food craving state, and the sleeping time (FIG.

The term "obesity degree" of the present invention is evaluated by a body mass index (BMI), which is obtained by dividing the square of the body weight by the formula (Formula 1), and the unit may be expressed in kg / m ² . If BMI is less than 18.5, it is low, 18.5 to 25 kg / m ² is normal weight, 25 to 30 kg / m ² is overweight, and 30 kg / m ² can be evaluated as obesity.

[Equation 1]

BMI = body weight (kg) / height (m) ²

Since the present invention is intended for children and adolescents, the BMI Z score (Formula 2, BMI was calculated using a standardized formula for age and sex (FIG. 5).

[Equation 2]

In the above Equation 2, x = BMI; L = L score of the gender and age; M = M score of the sex and age; And S = the S score of the corresponding gender and age. For each L, M, and S score, refer to the figures provided by the CDC (2007 Pediatric and Adolescent Standard Growth Chart Explanatory Committee on Disease Control, Korean Pediatric Society, Pediatric and Adolescent Physical Development Standards) 6 and Fig. 7).

The term "fitness state" of the present invention is an important indicator for predicting the health state as a physical ability on which human life and activity are based. The physical fitness factors related to health are cardiopulmonary endurance, muscle strength, muscle endurance, flexibility, body composition, etc. For elementary, middle and high school students, grade 1 (very high fitness level) To 5th grade (very low fitness level) (Ministry of Education, 2009).

The term "nutrient intake state" of the present invention is determined by comparing the nutrient intake level of children and adolescents with the recommended nutrient intake level. In the present invention, the calorie intake (kcal) ). &Lt; / RTI &gt; The information required to calculate the recommended calorie is the energy requirement calculated by gender, age, height (H, height (m)), body weight (W, weight (kg) (Estimated Energy Requirements, EER) (Table 1). The physical activity coefficient (PA) of the formula is divided into four categories: Sedentary, low activity, active, and very active. (P <0.001), and the PA index was 1, 1.13, 1.26, and 1.42 for men and 1, 1.16, 1.31, and 1.56 for women, respectively (Pediatric Obesity, Korean Society of Obesity and Obesity, 2012).

Male 3-8 years EER = 88.5- (61.9 x age) + PA x (26.7 x W + 903 x H) + 20 Male 9-18 years EER = 88.5- (61.9 x age) + PA x (26.7 x W + 903 x H) + 25 Women 3 to 8 years EER = 135.3- (30.8 x age) + PA x (10 x W + 934 x H) + 20 Female 9-18 years old EER = 135.3- (30.8 x age) + PA x (10 x W + 934 x H) + 25

The term "activity level" of the present invention means a medium-high intensity physical activity for 60 minutes or more per day. Children and adolescents are encouraged to participate in moderate to high intensity physical activity more than 60 minutes a day on a regular basis daily to gain the health and fitness benefits associated with physical activity (American College of Sports Medicine, 2014).

The term "bad lifestyle" of the present invention is to evaluate lifestyle habits related to obesity induction and to evaluate bad habits and bad exercise habits that affect obesity. Bad eating habits are assessed with a total of 17 items and are defined as bad eating habits that require improvement if each item has a score of 0 or 1 (Table 2).

Not at all Not like that Yes it really is One. Number of breakfasts per week □ ① 0 times 0 □ ② 1 time 0 □ ③ 2 times 1 □ ③ 3 times 1 2. I eat three meals a day regularly. □ ① 0 □ ② 1 □ ③ 2 □ 3 3. I eat slowly according to the speed of the people around me. □ ① 0 □ ② 1 □ ③ 2 □ ④ 3 4. Eat as much as you normally eat. □ ① 0 □ ② 1 □ ③ 2 □ ④ 3 5. I try to eat it lightly. □ ① 0 □ ② 1 □ ③ 2 □ ④ 3 6. Eat food (eat it). □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 7. I often eat my former nightly meal. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 8. I eat a lot of snacks. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 9. I often eat out. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 10. I do not eat, I drive a lot and eat a lot. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 11. I habitually eat without hungry. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 12. If you have a tasty meal after a meal, eat it again. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 13. When you are in a bad mood, you are relieved by eating. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 14. I always buy a lot of food by my side. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 15. I eat while watching TV or books. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 16. Do not chew food long enough to swallow. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0 17. I can not bear the urge to eat. □ ① 3 □ ② 2 □ ③ 1 □ ④ 0

The term "food craving state" of the present invention describes a mechanism of eating behavior that is difficult to control due to the strong desire to eat food (Weingartten, H. P & Elston, D. Phenomenology of Food Cravings, Appetite, 1990; 3), 231-246. In the present invention, when a user feels craving for food, it means that he / she has a craving.

The term "sleeping time" of the present invention means a time to be calculated at the time of sleeping and entering the weathering time. When the sleeping time is evaluated, if the calculated sleeping time is less than 8 hours, it is judged to be appropriate if the sleeping time is more than 8 hours.

The service providing unit 440 provides a service applicable to the user based on the user's data. The service providing unit 440 provides a service applicable to the user based on the data of the user, Intervention, health note input / feedback, and customized content / program information (FIG. 3).

The term "type of exercise" of the present invention refers to exercises such as soccer, basketball, floor ball, dugout, walking, jump rope, bike, stair climbing and stair climbing. The term "exercise time" means a time for performing the exercise type, and includes all the active times.

The term "food craving inhibiting contents" of the present invention is a service provided to a user to solve food craving, and includes a service for suppressing food craving received from a service terminal of a server when the user is craving food, , Pictures, phrases and games for suppressing craving for food are provided to the display means, thereby guiding the user to use the terminal to suppress the craving for food, instead of eating the food.

The term "group education" of the present invention refers to a service provided to provide education for obesity management together with other users when food craving suppression is difficult, by providing a schedule of group training for obesity management performed offline .

The term "weight loss target amount " of the present invention is a service for setting a target amount of a user after analyzing data based on body information, documentary information, nutrition information and sleeping information, and a target amount can be set by BMI in particular. As a long-term goal for a year, a BMI of 99% or more is a high-level obesity group, which can be set to a goal of less than 95% and 95% to more than 99%. Obesity is an obesity group, (85% to 95%). Obesity can be set to remain below 85% as a group of tasks (Table 3). A short-term goal of 1 month or 3 months may be set. A BMI of 99% or more is a high-level obesity group, which should be reduced by 1 to 4 kg per month and should not exceed 1 kg per week. 95% to more than 99%. Obesity is an obesity group and should be reduced to 3 to 12 kg as a 3-month goal and not more than 1 kg per week. 85% to more than 95%. Obesity is a group of subjects who maintain their current weight as a three-month goal (Table 4). As described above, providing the weight loss target amount information is a service that provides a weight loss target amount.

Obesity Long-term Goal (1 year) Elevated obesity (with BMI≥99%) With BMI <95% Obesity (95% BMI <99% with) With BMI <85% Overweight (BMI <95%) With BMI <85%

Obesity Short-term goals (1 or 3 months) Elevated obesity (with BMI≥99%) 1 month Goal: 1 ~ 4kg reduction (but not more than 1kg in maximum 1 week) Obesity (95% BMI <99% with) 3 months Goal: 3 ~ 12kg weight loss (not more than 1kg in maximum 1 week) Overweight (BMI <95%) 3 months Goal: maintain current weight

The term "lifestyle mediation" of the present invention is a service intervened or provided to change a bad lifestyle related to obesity into a desirable lifestyle, and is a service provided by a user to correct bad lifestyle. Means providing.

The term " health note input / feedback "of the present invention means body information, a diary diary, a diary, a mind state record, a screen time, and a sleep time input by a user. Feedback means evaluation provided automatically through the system according to the input value.

The term "customized content / program" according to the present invention defines a state of a subject according to a user's obesity degree, physical fitness state, nutrition consumption state, activity amount state, bad living habits, food craving state and sleeping time state, Means content or program.

The body activity related information is collected through the sensor 110 in the exercise device 100 and transmitted to the terminal 200 through the data transmission module 120 and is transmitted to the terminal 200 through the data transmission module 120. [ 200 receives data through the information detection module 210 and transmits data to the server 400 through the data transmission / reception module 240, the network 300, and the communication module 410. The server 400 analyzes the data based on the data received from the terminal 200 and the stored data on the off-line, and provides the user with different services according to the analyzed data. The user can confirm the information received from the server 400 with the display means 220 of the terminal 200 (FIG. 4).

The obesity management system of the present invention is intended for obesity patients who are pediatric and adolescents. The information of the data storage unit is obtained by measuring the height and weight at medical facilities such as hospitals and public health centers where the pediatric and adolescent obese patients are offline Acquire body information, and obtain medical information through medical consultation with a doctor. Nutritional information of children and adolescents can be obtained through nutritional counseling with nutritionists. In addition, counseling and education can be done offline.

100: exercise device
110: sensor
120: Data transmission module
200: terminal
210: Information detection module
220: Display means:
230:
240: Data transmission / reception module
300: Network
400: Server
410: Communication module
420: Data storage unit
430: Data analysis section
440: Service Offering
450:

Claims (8)

An exercise device (100) comprising a sensor (110) for measuring information related to a user &apos; s physical activity;
An information detecting module 210 for detecting physical activity related information measured by the sensor, display means 220 for displaying the physical activity related information and service providing information received from the server, A terminal 200 including a data transmission / reception module 240 for transmitting information related to physical activity to a server or receiving service provision information from a server described below; And
A communication module 410 for receiving the physical activity related information transmitted from the data transmission / reception module of the terminal, a data storage 420 for storing the physical activity related information of the user transmitted from the communication module, And a server (400) including a data analysis unit (430) for analyzing the data of the subject and a service providing unit (440) for delivering the data to the user based on the data of the data analysis unit. The method according to claim 1,
The exercise device 100 transmits the physical activity related information of the user to the information detection module 210 of the terminal 200 through the data transmission module 120 in the exercise device in the sensor 110 System. The method according to claim 1,
Wherein the information related to the physical activity of the user is selected from the group consisting of the number of walking, walking distance, calorie consumption, and sleeping time of the user. The method according to claim 1,
The terminal 200 transmits information received from the exercise device 100 to the data storage 420 of the server 400 through the information detection module 210 and transmits the service of the server 400 (440) to the display means (220). The method according to claim 1,
The server 400 receives and stores physical activity-related information for each user from the terminal 200, analyzes the physical activity-related information, and provides the service to the user through the service providing unit 440 system. The method according to claim 1,
The data storage unit 420 stores
Information on the physical activity of the user received from the terminal 200;
Physical information including the user's gender, age, height and weight;
Paper-based information including user's lifestyle, computer use time, TV viewing time, food loyalty selection tool;
Nutrition information including calorie information calculated on the basis of the kind and intake of the user's intake food; And
And sleep information including a sleep time of the user. The method according to claim 1,
The data analysis unit 430 analyzes at least one selected from the group consisting of an obesity degree, a physical strength state, a nutrient intake state, an activity amount state, a bad lifestyle, a food craving state, and a sleeping time. The method according to claim 1,
The service providing unit 440 may be configured to provide exercise type, exercise time, food craving suppression contents, group education schedule, weight loss target quantity information, lifestyle intervention, health note input / And analyzing at least one selected from the group.

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