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Background Internet of things is fast becoming the norm in everyday life, and integrating the Internet into medical treatment, which is increasing day by day, is of high utility to both clinical doctors and patients. While there are a number of different health-related problems encountered in daily life, muscle fatigue is a common problem encountered by many. Methods To facilitate muscle fatigue detection, a pulse width modulation (PWM) and ESP8266-based fatigue detection and recovery system is introduced in this paper to help alleviate muscle fatigue. The ESP8266 is employed as the main controller and communicator, and PWM technology is employed to achieve adaptive muscle recovery. Muscle fatigue can be detected by surface electromyography signals and monitored in real-time via a wireless network. Results With the help of the proposed system, human muscle fatigue status can be monitored in real-time, and the recovery vibration motor status can be optimized according to muscle activity state. Discussion Environmental factors had little effect on the response time and accuracy of the system, and the response time was stable between 1 and 2 s. As indicated by the consistent change of digital value, muscle fatigue was clearly diminished using this system. Conclusions Experiments show that environmental factors have little effect on the response time and accuracy of the system. The response time is stably between 1 and 2 s, and, as indicated by the consistent change of digital value, our systems clearly diminishes muscle fatigue. Additionally, the experimental results show that the proposed system requires minimal power and is both sensitive and stable.

A considerable number of people with a normal body mass index (BMI) are at an increased risk of metabolic syndrome due to excessive body fat accumulation (fat mass percentage greater than or equal to 30%). It is important to screen these normal weight obese (NWO) individuals in adolescent and young adults because they are likely to be overlooked due to their normal BMI. The aim of this study is to evaluate the body composition and metabolic characteristics of NWO in a young Japanese female cohort with different physical activity levels. We discovered that (1) a considerable proportion of sedentary young women with normal BMI could be classified as NWO, displaying a cluster of obesity-related phenotypic characteristics including central/abdominal adiposity, hyperleptinemia, enhanced fasting insulin secretion, and hyper-inflammation and hypercoagulative status; (2)endurance trained women had 98% less likelihood of being NWO. Our investigation strongly suggests that active physical exercise should be implemented in sedentary young women in order to avoid the development of NWO.

Muscle fatigue is a problem that is often encountered in daily life. To facilitate muscle fatigue detection, a pulse width modulation (PWM) and ESP8266-based fatigue detection and recovery system is introduced in this paper to help alleviate muscle fatigue. The ESP8266 is employed as the main controller and communicator, and PWM technology was employed to achieve adaptive muscle recovery. Muscle fatigue can be detected by surface electromyography (sEMG) signals and monitored in real time via a wireless network. With the help of the proposed system, human muscle fatigue status can be monitored in real-time, and the recovery vibration motor status can be optimized according to muscle activity state. Experimental results showed that the proposed system is sensitive and stable, requires minimal power, and can be of benefit to muscle fatigue monitoring and recovery.