TWI475508B - Using the Cloud Database for Sports Prescription Management and Feedback - Google Patents

Description

Method for exercising prescription management and feedback using cloud database

The invention relates to motion management, and in particular to a method for managing and rewarding exercise prescriptions using a cloud database.

In the 1970s, the American College of Sports Medicine (ACSM), the American Heart Association (AHA), and other health organizations began to make recommendations for popular movements, and most of these recommendations focused on cardiopulmonary function. A special program with high-intensity exercise, such as a three-week weekly activity, with a proposal for 20 minutes of continuous activity (ACSM, 1978). In 1990, ACSM re-published the Sports Guideline (ACSM, 1990), proposing a formal statement to replace the 1978 Movement Guidelines, recommending that adults develop and maintain healthy cardiopulmonary fitness, body composition, and muscle and muscular endurance exercise prescriptions. : The number of exercise per week is 3~5 times; the exercise intensity is 60%~90% of the maximum heart rate, the maximum oxygen uptake or the heart rate reserve (HRR) is 50%~85%; the exercise duration Between 20 and 60 minutes; the exercise mode is any activity that can continue to use large muscle groups, but it should be rhythmic and aerobic in nature; perform at least 2 resistance trainings per week, and the training load is 8~10 sets (sets The movement of each group is repeated 8 to 12 times. Although the official statement of the ACSM in 1990 still focused on physical fitness, it also emphasized the quality and quantity of sports. Those who demand health benefits should be different from those who pursue physical development. The potential benefits of rhythmic movement can also be obtained by increasing the number and duration of movements and reducing exercise intensity (Mahler DA, 1995).

On the other hand, in the process of moving towards a developed country, it does pay a considerable price; life style, eating habits and leisure orientation are all in the direction of adverse health, and "health" has become the 21st century. The biggest crisis to be faced, the highest unit that dominates the national sports and health policy - the Department of Health and the Sports Department (continued by the National Sports Commission of the Executive Yuan after March 87), has developed a forward-looking policy, that is, The "National Physical Fitness", "National Health Care Plan" and "Sunshine Fitness Program" are being actively promoted (Administration Department Health Department, 1993; Ministry of Education, 1995; Sports Committee, 1998). In recent years, the decline of national physical fitness has become obvious, the United States is the same, and Europe is also the same, and the physical condition of our nationals is even more so (Ministry of Education, 2006; Ministry of Education, 1997; Lin Guifu, 1995). Establishing a relationship between physical activity and health at an early stage and implementing it in daily life will help to improve the health crisis at this stage and lay the foundation for a good quality of life for the future.

Physical activity refers to any body movement caused by the contraction of human muscles, resulting in an increase in energy expenditure (McArdle et al, 2001); physical activity is often confused with the word "exercise", Exercise (Exercise) Refers to planned, structured, purposeful repetitive physical activity (McArdle et al, 2001); so exercise is part of physical activity. In recent years, in order to encourage people to exercise a lot, regardless of whether the body has displacement or not, as long as the various types of activity of the human body are stimulated, all involve the process of muscle contraction and relaxation, and can add extra Energy consumption is considered to meet the standard of physical activity. In recent years, domestic and foreign research has repeatedly confirmed that people who exercise very little can promote their health and happiness if they can regularly engage in moderate-intensity activities or exercise; instead, only vigorous exercise can promote health, as long as the amount of physical activity or exercise is increased. It is good for the body; the greater the amount of physical activity or exercise (including exercise intensity, frequency, duration), the more benefits to the body (Chen Junzhong, 2004; Lee IM, 2003; Haskell WL, 2007).

How much physical activity is needed to achieve the many benefits of physical activity? How much physical activity strength? How high is the frequency of physical activity? These issues are the focus of the research of sports physiology researchers, and they are also the most concerned issues for the development of health promotion units in various countries.

Epidemiological studies of exercise and health provide a framework for the relationship between exercise and response (Dose-response) and health, thereby distinguishing between differences in physical fitness and health promotion. According to Clark's study, a 30-minute moderate-intensity exercise every day has the desired effect on the prevention and management of non-insulin-dependent diabetes mellitus (NIDDM) (Clark DO, 1997). Paffenbarger et al. assessed the main cause of death at Harvard University alumni as cardiovascular or lung disease, while alumni, who often engage in athletics such as walking and climbing stairs, had lower mortality rates; subjects with weekly energy expenditures between 500 and 3,500 kcal Its cardiovascular disease decreases with increasing weekly energy expenditure (Paffenbarger RS, 1986). Paffenbarger et al. found that starting a high-intensity exercise, stopping smoking, maintaining normal blood pressure, and avoiding lifestyle changes such as obesity would effectively reduce the mortality rate of middle-aged and elderly people (Paffenbarger RS, 1993). Siscovick et al. analyzed the relationship between cardiovascular disease and health with low, medium and high exercise intensity. The results showed that exercise intensity was associated with risk factors for coronary artery disease in the elderly, and it was significantly inversely proportional to the reduction of cardiovascular disease (Siscovick DS). Et al, 1997). From the above research results, although there are different opinions on the exercise intensity of health promotion, it also verifies the previous study by Blair et al., and believes that the health effects of exercise should be assessed, rather than simply the health status. Divided into two, and emphasizes the value of moderate exercise intensity. The study found that 30 minutes of walking per day or equivalent to 30 minutes of walking energy consumption and other activities have significant health benefits, especially for people with poor sitting or physical condition (Blair SN et Al, 1992).

The main object of the present invention is to provide a method for managing and rewarding exercise prescriptions by using a cloud database, which can actually record the exercise process and effectively manage the exercise prescription.

In order to achieve the foregoing object, the method for using the cloud database to perform exercise prescription management and feedback includes the following steps: A. performing physical examination on a person, including performing a health assessment and performing a physical examination to understand The physical condition of the tester; B. establishing a exercise prescription based on the result of the physical test, the exercise prescription providing the number of weekly exercise (F), exercise intensity (I), exercise duration (T), and exercise mode (T), To achieve the total number of weekly target sports (Total Physical Activity per week, TPA/w); C. the person performs predetermined motion according to the exercise prescription and detects motion data during the exercise; D. uploads the detected motion data to a cloud database, and Stored in the cloud database; E. repeat step C and step D until the exercise period set by the exercise prescription is completed; F. the movement data of the person is read by the cloud database, and adjusted according to the movement data The content of the exercise prescription; and G. repeat step C to step F according to the content of the exercise prescription of step F.

Wherein, the physical activity test in step A is performed for a three-minute mission test, and then one minute to one minute and thirty seconds, two minutes to two minutes and thirty seconds, three minutes to three minutes and thirty seconds, three thirty seconds of wrists are measured. Pulse rate, then bring the following formula to obtain the integral force index: physical strength index = (exercise duration × 100) / (pulse sum total × 2); after obtaining the physical strength index, then according to the two factors of gender and age .

The classification of the physical strength index is divided into five levels. In step B, the exercise prescription established according to the classification of the physical strength index is: A level = I (8 METs) × T (30 min) × F (3 times) / Weekly), the running speed is about 8-9KM; the total target movement per week is 720 TPA/w; Class B = I (6 METs) × T (40 min) × F (3 times / weekly), go Running speed is about 6-7KM; total target movement per week is 720 TPA/w; C level = I(5 METs) × T (40 min) × F (4 times/week), running speed About 5-6KM; the total target movement per week is 800 TPA/w; D level = I(4 METs) × T (50 min) × F (4 times/week), and the running speed is about 4-5KM; The total weekly target movement is 800 TPA/w; E level = I(3 METs) × T (50 min) × F (6 times/week), and the running speed is about 3-4KM; the total target movement per week is 900 TPA/w.

The motion data detected in step C includes physiological information, and the physiological information includes: heart rate, electrocardiogram (EKG), respiratory rate, respiratory volume, oxygen uptake, and electromyography (EMG). At least one.

The motion data detected in step C includes a motion information, and the motion information includes linear acceleration and angular acceleration, length and diameter, step size, stride frequency, step landing time of a specific part of the person, At least one of step vacancy time, symmetry and asymmetry, stability, spectrum analysis and wavelet analysis.

The motion data detected in step C includes a mobile information, where the mobile information includes at least one of a location, a moving distance, and a moving speed.

Wherein, in step C, the following steps are further included: when the detected motion data finds that the exercise intensity is insufficient or too high, the person is warned.

Wherein, in step C, the following steps are further included: when an accident occurs during the movement, a help signal is sent outside.

The method for accidental determination includes at least one of the following: an abnormal acceleration change in the detected motion data; an abnormal physiological information in the detected motion data; and the person determining that the accident occurred.

The help signal includes a GPS positioning signal.

In this way, through the use of the cloud database for exercise prescription management and feedback, the movement process of the person can be actually detected and recorded in the cloud database to effectively manage the exercise prescription.

Referring to FIG. 1 , a management and feedback method for a sports prescription provided by a preferred embodiment of the present invention mainly includes: body detection, establishing a motion prescription, performing and recording a movement, and adjusting a sports prescription. The following is a detailed description of each project:

First, the body test:

Before implementing a sports program, in addition to health assessment, it is more important to conduct a physical fitness test to understand the physical condition of the subject. After the test, the athletes will evaluate the exercise prescription according to the individual factors such as age and gender. In the present embodiment, the three-minute evaluation test is used as an evaluation means for physical fitness detection.

The so-called three-minute boarding test is to allow the subject to test on a wooden case or cement step 35 cm high, with a frequency of 24 times per minute. The surface of the wooden box or concrete step should be non-slip to avoid sports injuries. Before the test begins, the subject stands in front of the wooden box or cement step. Follow the instructions to climb the stairs with the right (left) foot. After the platform is connected, the legs should be straight; then the right (left) foot is used to step down. Then left (right) feet down to the ground. This is repeated for 3 minutes. After completing the test, Measure one minute to one minute and thirty seconds, two minutes to two minutes and thirty seconds, three minutes to three minutes and thirty seconds, three thirty seconds of wrist pulse rate. Then, the measured pulse rate is brought into the following formula to obtain the physical index: physical strength index = (exercise duration × 100) / (pulse sum total × 2)

After obtaining the physical strength index, it is graded according to the two factors of gender and age. In this embodiment, there are a total of five levels: A level (very good), B level (still good), C level (normal), D level (slightly worse), and E level (not good). The physical fitness index is based on the three-minute test routine published on the Ministry of Education's Physical Fitness website (see Tables 1 and 2).

Second, establish a sports prescription:

The general principle of exercise prescription is FITT, where F is Frequency (weekly The number of movements), I is Intensity, T is Time, and the last T is Type. The exercise mode of this embodiment uses fast walking and jogging as the main exercise prescription (suitable for 80% of the general population). The exercise prescriptions based on the physical index classification are as follows:

Class A = I (8 METs) × T (30 min) × F (3 times / weekly), running at a speed of about 8-9KM.

Class B = I (6 METs) × T (40 min) × F (3 times / weekly), running at a speed of about 6-7KM.

Class C = I (5 METs) × T (40 min) × F (4 times / week), running at a speed of about 5-6KM.

Class D = I (4 METs) × T (50 min) × F (4 times / weekly), running at a speed of about 4-5KM.

Class E = I (3 METs) × T (50 min) × F (6 times / week), running at a speed of about 3-4KM.

With the above formula, the sports manager can determine the Total Physical Activity per week (TPA/w), and the total number of weekly target sports for each physical index is as follows:

Class A = 720 TPA/w

Class B = 720 TPA/w

Class C = 800 TPA/w

Class D = 800 TPA/w

Class E = 900 TPA/w

Third, the implementation and record of exercise prescription:

After obtaining a prescription for exercise, the person should follow the instructions of the exercise manager's exercise prescription to achieve the total amount of target exercise per week. Referring to Figure 2, in order to record the athletic data of the exercise process, personnel are required to wear a recording kit during the exercise. The recording kit includes a physiological detecting unit, a motion detecting unit, a GPS unit, a processor, and a communication unit.

In this embodiment, the physiological detecting unit uses a generally commercially available device that can detect physiological information. The physiological information detected includes: heart rate, electrocardiogram (EKG), respiration rate, respiration, oxygen uptake, and myoelectric signal (EMG). The more items that can be obtained with physiological information, the greater the help for reopening exercise prescriptions in the future. However, the more physiological information is detected, the more devices the user needs to carry and the higher the cost. The inventor suggests that physiological information requires at least a heart rate, preferably at least a heart rate and an electrocardiogram (EKG).

The motion detecting unit is a specific part for mounting a sensor having an accelerometer and a gyroscope on a user, for example, a head, a cervical vertebra, a lower back fourth, a fifth lumbar vertebra, a anterior superior iliac spine, and a knee. The outside, the ankle, the back of the foot, etc., to detect motion information of the part in motion, such as: linear acceleration and angular acceleration, length and diameter, step size, stride frequency, step landing time, stepping time, Symmetry and asymmetry, stability, spectrum analysis and wavelet analysis. For more information on the motion detection singles, please refer to the inventor's previous application for Taiwan invention patent No. 99120877.

The GPS unit includes a GPS receiver for receiving GPS signals to Positioning. In this way, mobile information such as the position, moving distance and moving speed of the person in motion can be obtained.

The physiological information, the motion information and the GPS signal are transmitted to the processor, and the processor integrates the foregoing information and transmits the information to a cloud database record via the communication unit. In this embodiment, a smart phone is used to perform the functions of the GPS unit, the processor, and the communication unit. The code and decoding used in signal transmission are conventional techniques and will not be described here. The physiological detecting unit and the motion detecting unit are connected to the smart phone in a wired or wireless manner (infrared, blue, etc.). In this embodiment, the smart phone is connected to the cloud database through an internet.

The motion detection unit applies acceleration to calculate the exercise intensity (METs) obtained by the user during exercise, and compares with the exercise prescription of the motion manager on the cloud database. When the strength is insufficient or exceeded, the service system sends the message in a short message. Warning to the personnel, to avoid the lack of strength, wasted time, high strength, easy to cause sports injuries and accidents, by the present invention can improve the exercise effect and sports quality.

In addition, the record suite has the function of accidental emergency notification. When the user falls or falls into the valley during an accident, the motion detecting unit detects an abnormal acceleration change, and the processor determines that the accident is unexpected; the physiological detecting unit detects the abnormal physiological information. Or the person determines that an accident has occurred; at this time, a help message can be sent to the predetermined unit (for example, a fire station, a police station, a medical institution, etc.) via the communication unit (in conjunction with the GPS positioning signal).

Fourth, adjust the exercise prescription:

After completing the exercise cycle set by the exercise prescription, the person needs to return to the exercise manager who originally opened the exercise prescription to understand the effect of the exercise prescription. At this point, the sports manager connects to the cloud repository to read the athletic data of the person. Based on the sports information, a new exercise prescription is opened. How to adjust the exercise prescription to the professional of the sports manager, the content and manner of adjustment are not the features of the present invention, and are not detailed here.

After the person obtains a new exercise prescription, it needs to perform according to its content, and during the exercise, use the record kit to record the exercise data and upload it to the cloud database. This is repeated until the desired goal is achieved (eg, weight loss, adjustment of fitness, reduction or elimination of disease symptoms, etc.).

The following two cases are given to illustrate the implementation process of the present invention:

Case number one:

Personnel: Mike (a pseudonym), male, age: 48 years old, weight: 48 kg.

Physical strength index: 51.2, D grade.

Exercise Prescription: Exercise at a speed of about 4-5 km (4 METs) per hour, 4 times a week, about 50 minutes each time.

Actual implementation status: 4 runs per week, running 4 km (average speed) for 50 minutes each time.

Results after 3 months of maintenance: calorie expenditure (kcal/min) = (METs x 3.5 x body weight kg) / 200 = 4 x 3.5 x 80 ÷ 200 = 5.6 kcal / min.

Finally, calculate the calorie consumption for 50 minutes of running: 5.6 kcal / min × 50 points Clock = 280 kcal.

In 3 months, he can consume 280 kcal × 5 times / week × 12 weeks = 16800 kcal.

Reducing 1 pound of fat requires approximately 3,500 kilocalories, so he can reduce fat in just 3 months by running: 16800 kcal 3500 kcal / lb. 4.8 pounds 2.16 kg.

Target management strategy: The total target movement per week is 800 TPA/w, so Mike's 1st exercise is completed at 4METs×50min=200; 200÷800 TPA/w*100=25%, and each time afterwards, For example: 2 times in the first week = 200, 3 times in the first week = 150; 550 / 800 × 100% = 69%, Mike's total target movement this week is 550 (69%), the goal of 100% effort is left 250TPA.

Case 2:

Personnel: Jenny (a pseudonym), female, age: 54 years old, weighing 60 kg.

Physical strength index: 63.5, grade B.

Exercise Prescription: It is recommended to exercise at a speed of about 6-7 km (6 METs) per hour, 3 times a week, about 40 minutes each time.

Actual implementation status: Run 3 times a week, running 6 kilometers (average speed) every 40 minutes.

Results after 3 months of maintenance: calorie expenditure (kcal/min) = (METs x 3.5 x body weight kg) / 200 = 6 x 3.5 x 60 ÷ 200 = 6.3 kcal / min.

Finally, calculate the calorie consumption for 40 minutes of running: 6.3 kcal / min × 40 points Clock = 252 kcal.

In 3 months, he can consume 252 kcal × 3 times / week × 12 weeks = 9072 kcal.

Reducing 1 pound of fat requires approximately 3,500 kilocalories, so he can reduce fat in just 3 months by running: 9072 kcal 3500 kcal / lb. 2.59 pounds 1.16 kg.

Target management strategy: The total amount of target movement per week is 720 TPA/w, so 6 METs × 40 min = 240; 240 ÷ 720 TPA / w * 100 = 33.3% when the first exercise is completed in the first week, and then accumulate each time until The total amount of weekly exercise required to complete the exercise prescription.

The above description is only for the preferred embodiments of the present invention, and the equivalent method variations of the present invention and the scope of the patent application are intended to be included in the scope of the present invention.

1 is a flow chart of a method for managing and feeding back a motion prescription according to a preferred embodiment of the present invention; and FIG. 2 is a system architecture diagram of a method for managing and feeding back a motion prescription according to a preferred embodiment of the present invention.

Claims (8)

A method for managing and rewarding exercise prescriptions using a cloud database includes the following steps: A. performing physical examination on a person, including performing a health assessment and performing a physical examination to understand the physical condition of the subject; B. according to the body test The result establishes a exercise prescription that provides weekly exercise times (F), exercise intensity (I), exercise duration (T), and exercise pattern (T) to achieve total weekly target exercise (Total Physical Activity per week, TPA/w); C. The person performs predetermined motion according to the exercise prescription and detects motion data during exercise, wherein the detected motion data includes physiological information, and the physiological information includes: Beat rate, electrocardiogram (EKG), respiration rate, respiration rate, oxygen uptake, and electromyography (EMG); when the detected exercise data finds that the exercise intensity is insufficient or too high, The person issues a warning; D. uploads the detected motion data to a cloud database and stores it in the cloud database; E. repeats steps C and D until the exercise prescription is completed. Moving cycle;. F reading the sports information personnel from the cloud database, according to the movement of capital and Adjusting the content of the exercise prescription; and G. repeating step C to step F according to the content of the exercise prescription of step F. According to the method of claim 1, the method for managing and rewarding exercise prescriptions using the cloud database, wherein the physical activity in step A is performed for a three-minute assessment, and then one minute to one minute and thirty seconds, two points are measured. Up to two minutes and thirty seconds, three minutes to three minutes and thirty seconds, three thirty seconds of wrist pulse rate, and then bring the following formula to obtain the integral force index: physical strength index = (exercise duration × 100) / (pulse The total number is ×2); after obtaining the physical strength index, it is graded according to the two factors of gender and age. According to the method of applying the cloud database for the exercise prescription management and feedback according to the second item of the patent application scope, the classification of the physical strength index is divided into five levels, and in step B, the movement established according to the classification of the physical strength index The prescription is: grade A = I (8 METs) × T (30 min) × F (3 times / per week), the running speed is 8-9 KM; the total target movement per week is 720 TPA / w; B = I (6 METs) ×T(40min)×F(3times/weekly), the running speed is 6-7KM; the total target movement per week is 720TPA/w; C level=I(5METs)×T(40min)×F(4times/ Weekly), the running speed is 5-6KM; the total target movement per week is 800TPA/w; D level=I(4METs)×T(50min)×F(4times/weekly), the running speed is 4- 5KM; the total target movement per week is 800 TPA/w; E level = I (3 METs) × T (50 min) × F (6 times / per week), the running speed is 3-4KM; the total target movement per week is 900 TPA/w. The method for performing motion prescription management and feedback using the cloud database according to claim 1, wherein the motion data detected in step C includes a motion information, and the motion information includes a specific part of the person. At least one of linear acceleration and angular acceleration, length and diameter, step size, stride frequency, step landing time, step vacancy time, symmetry and asymmetry, stability, spectrum analysis and wavelet analysis. The method for performing motion prescription management and feedback by using a cloud database according to claim 4, wherein the motion data detected in step C includes a movement information including a position, a moving distance, and a moving speed. At least one of them. According to the method of claim 1, the method for managing and rewarding exercise prescriptions by using the cloud database, wherein in step C, the method further comprises the following steps: when an accident occurs during the movement, a help signal is sent outside. The method for performing motion prescription management and feedback using the cloud database according to claim 6 of the patent application scope, wherein the method for accident determination includes at least one of the following: an abnormal acceleration change in the detected motion data; the detected motion Abnormal physiological information appears in the data; and the person himself determines that an accident has occurred. The method for managing and rewarding exercise prescriptions by using a cloud database according to the sixth or seventh aspect of the patent application, wherein the help signal includes a GPS positioning signal.