In the absence of physical movement, the dynamic process of rehearsing specific actions in the mind based on memory is called motor imagination (MI). Motor imaging brain-computer interface (BCI) refers to communicating with a computer or controlling external devices by imagining specific movements in the brain, while the Internet of health things technology helps to convey the rehabilitation of the limbs of patients with paralysis and stroke in time. Studies have shown that with the increase of motor imaging tasks, the classification accuracy rate will also decrease. It is necessary to study the construction and security of sports injury rehabilitation systems under the Internet of health things. Based on the study of the feature extraction algorithm, this paper starts with the infusion monitoring in the clinical medical care work, and through the construction of the Internet of health things smart care management system. It could provide application modules such as "infusion monitoring", "disease call interconnection", and "PDA interconnection" to realize the closed-loop path management of the whole process of basic nursing work in the ward. The sports rehabilitation training system receives the EEG data collected by the UE-16B EEG amplifier through the socket, and calls MATLAB to perform feature extraction and classification of the EEG data, and feedback the processing results to the sports rehabilitation training system and subjects. On this basis, the system has designed and completed a non-feedback training module, a feedback training module and related BCI game modules to promote users to perform sports imagination training and successfully complete sports rehabilitation training.
Introduction Athletic walking is a physical endurance test. This sport has a long competition time and a high load intensity. The long-term continuous movement of muscles is the most prominent characteristic of this sport. Strength and endurance are essential physical factors that determine the performance of the runners who do it. Physical endurance is an essential indicator to evaluate the level of physical training in athletic walking. Objective This study aims to analyze the effect of endurance training on the physical fitness and competition performance of athletic walkers. Methods This work selects four athletes as the research object. The athletes undergo one month of resistance training. The athletes recorded their physiological and biochemical indicators before and after resistance training. Then, the mathematical statistics method was used to analyze their physiological and biochemical indicators. Results Hemoglobin levels in the last three weeks of resistance training were significantly higher than in the first week (P<0.01). During endurance training, the athletes’ morning blood urea peak appeared in the first test after going to high altitude (P<0.05). Conclusion Endurance training can improve the fitness of athletic walkers. Resistance training effectively stimulates the blood system of athletes for at least two weeks. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
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