Preventive medicine
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Preventive medicine · Sep 2023
Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.
With the development of artificial intelligence technology, new software is also emerging in an endless stream. On the basis of sensors, the new software realizes the separation of network control layer and data layer, thereby improving network throughput and link utilization. With the gradual maturity of deep reinforcement learning technology, the redefined network architecture can be managed and controlled through software, making the network evolve toward a more intelligent direction. ⋯ This paper proposes a scheduling strategy based on machine learning, combining the reinforcement learning algorithm in machine learning and deep reinforcement learning algorithm, setting the key factors of reinforcement learning, and applying it to real-time sports images of athletes, combining the sports characteristics of athletes, Set the action and reward value. Then use the algorithm to allocate a reasonable path for data transmission according to the real-time status to reduce network delay. This article will use sensor technology and data center network to provide a new method for athletes' real-time motion images and body fat percentage.
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Preventive medicine · Sep 2023
Investigation on the relationship between Eysenck personality type and the survival rate of traumatic amputated finger replantation based on preventive psychology.
This paper tried to observe the relationship between the personality of patients with different personalities and the survival rate of replantation of traumatic amputated finger, and analyzed the influencing factors. EPQ psychological quality scores of patients with different gender, average monthly family income and age were significantly different (P < 0.05). In terms of the internal and external tendency score of EPQ, there were statistical requirements for differences in the mean monthly income of patients from different families (P < 0.05). ⋯ In terms of mental state, the scores were higher than the standard, whether from the perspective of obsessive-compulsive symptoms, or from the perspective of interpersonal sensitivity, hostility, paranoia and other dimensions, the difference was statistically significant (P < 0.05). Patients with different personality types have different psychological problems after accidental amputation and replantation, which is directly related to the survival rate of postoperative finger amputation. Therefore, in order to effectively improve the survival rate of patients with finger amputation, the psychological condition of patients can be assessed, early detection and intervention of patients' psychological problems, and appropriate intervention measures can be taken according to the personality characteristics of patients.
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Preventive medicine · Sep 2023
Exposure to adverse childhood experiences and diabetes: Mediational role of short sleep duration.
Adverse childhood experiences (ACEs) are associated with an increased risk of diabetes in adulthood. However, the potential mediational role of sleep duration in this association is unclear. A total of 116, 014 participants in the United States, from the Behavioral Risk Factor Surveillance System (BRFSS) survey in 2020 were involved in the study. ⋯ For the different types of ACEs, alcohol abuse in the household (OR = 1.13, 95%CI 1.08; 1.18), witnessing domestic violence (OR = 1.17, 95%CI 1.11; 1.23), emotional abuse (OR = 1.11, 95%CI 1.06; 1.16), physical abuse (OR = 1.22, 95%CI 1.17; 1.28), sexual abuse (OR = 1.25, 95%CI 1.18; 1.32) and short sleep duration (OR = 1.26, 95%CI 1.21; 1.32) independently increased the odds of diabetes. There was also an indirect relationship between alcohol abuse in the household, witnessing domestic violence, physical abuse, sexual abuse, and diabetes via short sleep duration. Short sleep duration plays a partial mediating role between ACEs and diabetes, including alcohol abuse in the household, witnessing domestic violence, physical and sexual abuse.
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Preventive medicine · Sep 2023
Association of cardiovascular health using life's essential 8 with noncommunicable disease multimorbidity.
Cardiovascular health (CVH) is closely associated with various noncommunicable diseases (NCDs) and comorbidity; however, the influence of CVH on NCD multimorbidity was not fully elucidated. We aimed to examine the association between CVH using Life's Essential 8 (LE8) and NCD multimorbidity among adults, males, and females in the United States, conducting a cross-sectional analysis using data involving 24,445 participants from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. LE8 was categorized into low, moderate, and high CVH groups. ⋯ After multivariable adjustment, LE8 was negatively associated with NCD multimorbidity among adults (odds ratio (OR) for per 1 standard deviation (SD) increase in LE8 and 95% confidence interval (CI), 0.67 (0.64, 0.69)), and the top 3 NCDs associated with CVH were emphysema, congestive heart failure, stroke, and the dose-response relationships between LE8 and NCD multimorbidity were observed among adults (overall P < 0.001). Similar patterns were also identified among males and females. Higher CVH measured by the LE8 score was associated with lower odds of NCD multimorbidity among adults, males, and females.
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Preventive medicine · Sep 2023
Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.
In order to make the teaching and training of aerobics more standardized, it is necessary to use scientific means to detect and monitor the movement standardization in teaching and training and the change of human heart rate in the training process, but at present, there are some difficulties in both detection and monitoring, Therefore, this paper proposes to use the advantages of convolutional neural network to solve the current aerobics teaching problems of motion detection and heart rate monitoring. In the process of operation, the complete aerobics video needs to be divided into several different images, the standardized action image background needs to be eliminated, and then the visual error caused by the difficult action image needs to be corrected. ⋯ It can not only save the time of contact with the human body, but also integrate various information of the time dimension, reducing a lot of computing steps, saving a lot of computing resources for practical work, and promoting the improvement of system output signal quality to a certain extent. The result of the experiment also proves that the convolutional neural network can improve the accuracy of students' movement detection and heart rate change monitoring in aerobics teaching and training.