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Abstract
With the development of signal processing technology and the appearance of small, low‐cost, and low‐power microprocessors, mobile sensor networks have begun to emerge in large numbers. In view of the different exercise abilities of different body components, mobile network sensor technology is used to monitor various data. Lean body mass is positively correlated with physical strength, aerobic capacity, and maximum oxygen uptake and is the main factor affecting explosive power, speed, and endurance. This article mainly studies the effect of nutritional supplementation in sports on physical strength. The subjects in this article are 10 male physical athletes. Three solid sports drinks with different nutrient composition ratios were selected from the national team’s nutrition centralized procurement product list, and a placebo with sugar‐free sweetener and purified water was used as a control group. The test measures the maximum oxygen uptake to determine the exercise intensity during the formal exercise test. Each stage includes exercise test day and washout period. Eat on the test day and provide a one‐hour static rest after a unified breakfast, and then, perform a 1‐hour power bicycle riding after the rest. During 0, 15, 30, and 45 minutes of exercise, drink the designated solution at 1.8 mL/kg body weight and record it as the corresponding solution group. Within 30 minutes immediately after the end of the cycling exercise, fluids should be refilled at 10 mL/kg of body weight. Experimental data showed that the levels of lactic acid in each group increased significantly after exercise compared to those at rest (P < 0.05), and there was no difference between the groups. There was no significant difference in the duration of the exercise ability test between the sports drink group and the placebo group. The experiment in this article shows that athletes can take appropriate measures to improve athletes’ physical activity level, increase daily energy consumption and a reasonable and balanced diet, which can effectively reduce the athlete’s body fat percentage, improve, and maintain a reasonable body composition. Among all the monitoring actions, the monitoring results indicate that the evaluation value of the action of combat is the highest, reaching 8.7.
Highlights
As one of the core technologies of the Internet of Things, mobile sensor networks have received more and more attention from researchers in recent years
The carbohydrate intake is insufficient: the main reason is that athletes’ meals take the form of buffets, and athletes generally believe that the more meat they consume in the diet, the more nutritious they are
The caloric energy provided by carbohydrates in the diet of Chinese athletes is only 32-52% of the total caloric energy
Summary
As one of the core technologies of the Internet of Things, mobile sensor networks have received more and more attention from researchers in recent years. Sousa et al analyzed the differences in sociodemographic and athletic characteristics, health behaviors, and food intake of athletes with and without nutritional supplements (NSs) They completed the NS usage questionnaire for high-performance Portuguese athletes from 13 sports, assessed sociodemographic information (gender, age, height, weight, and education level of athletes and parents), healthrelated information (smoking, (daily smoking time) sleep, walking, and sitting), and exercise (type, number of international performances, weekly training time, and weekly fitness time) characteristics and semiquantitative food frequency questionnaire for the first 12 months (86 items). This research introduces the mobile sensor network technology in detail and discusses the architecture of the sensor, the composition of the mobile sensor network, and its characteristics and applications, from the composition of sensor nodes to the protocol framework of the sensor network, the topological structure of the mobile sensor network, the characteristics of the mobile sensor network and the related standards related to its performance, the application of the mobile sensor network in various related fields, etc.; based on reading domestic and foreign literature on the relationship between athletes’ nutritional supplementation and physical strength gain, this study takes athletes as the main research object to observe the effects of sports training and nutritional interventions on athletes’ physical exertion, so as to optimize sports training for athletes’ health strategies, improving athletes’ performance, etc., and provide important reference and application value
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