No abstract

With the advent of Internet of Health (IoH) age, traditional medical or healthy services are gradually migrating to the Web or Internet and have been producing a considerable amount of medical data associated with patients, doctors, medicine, medical infrastructure and so on. Effective fusion and analyses of these IoH data are of positive significances for the scientific disaster diagnosis and medical care services. However, IoH data are often distributed across different departments and contain partial user privacy. Therefore, it is often a challenging task to effectively integrate or mine the sensitive IoH data, during which user privacy is not disclosed. To overcome the above difficulty, we put forward a novel multi-source medical data integration and mining solution for better healthcare services, named PDFM (Privacy-free Data Fusion and Mining). Through PDFM, we can search for similar medical records in a time-efficient and privacy-preserving manner, so as to offer patients with better medical and health services. A group of experiments are enacted and implemented to demonstrate the feasibility of the proposal in this work.

No abstract

Based on SSD to detect players, a super-pixel-based FCN-CNN player segmentation algorithm is proposed to filter out the complex background around players, which is more conducive to the subsequent pose estimation for target detection and fine localization of basketball technical features. The high resolution capability of CNN is used to extract images and perform computational preprocessing to identify typical basketball sports actions in video streams—rebounds, shots, and passes—with an accuracy rate of up to 95.6%. By comparing with three classical classification algorithms, the results prove that the target detection system proposed in this study is effective for target detection and fine localization of basketball sports technical features.

Introduction: Modern pentathlon has high requirements for the physical, psychological, and tactical training of athletes, and practicing the five items as a whole in physical training is a problem that needs to be solved. Organizing the load of each item and the overall load may be a circumventable problem using the altitude training technique. Objective: This study aimed to test and evaluate the effects of altitude training on modern pentathletes’ athletic performance and functional status. At the same time, we analyzed the method’s influence on the athletes’ physical quality. The ultimate goal of this experiment is to improve the science of modern pentathlete training. Methods: Six athletes from the modern pentathlon team were selected as research subjects. Changes in physiological indicators of the test subjects before and after altitude training were recorded. Mathematical statistics were used to analyze the collected data. Results: The athletes’ hemoglobin during high-altitude training was significantly higher than before training (P<0.05). Other physiological indicators such as blood urea and high-density protein were not significantly different (P>0.05). Modern pentathlon performance of athletes after altitude training was significantly improved (P<0.05). Conclusion: Altitude training can improve the performance of modern pentathlon athletes. At the same time, this training method can also improve the athletes’ aerobic capacity. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.