https://www.hindawi.com/journals/jhe/si/862383/
Public health is the art and science of promoting health, preventing diseases, and increasing health and lifespan through the organized efforts of society. It is believed that sport plays an important role in physical and mental health as it incorporates physical activity. Physical activities during sports are associated with risks for injury, such as concussions in contact sports and over-use injuries in sports requiring frequent repetition of the same movement.
Although sports injuries and their aftermath have been well-studied, less attention has been given to public health, especially using technology. The use of AI-enabled IoT devices in sports can reduce the risk of injuries and enhance the efficiency, capabilities, and fitness of athletes, spectators, coaches, and officials. The use of AI-enabled IoT devices in sports and public health has huge implications for research, businesses, and future activities of mankind. This is due to the fact that the IoT devices are required to extract an unprecedented amount of health data that can be filtered, processed, and analyzed using AI and machine learning. As a result, any system based on these technologies can obtain the benefits of collecting, processing, and analyzing highly valuable data of athletes, trainers, spectators, coaches, and officials. These technologies are beneficial for injury prevention, disease transmission, on-time diagnosis, and treatments for various diseases in an easy and cost-effective way.
The aim of this Special Issue is to identify public health concerns associated with sports using AI-enabled IoT devices and machine learning algorithms. Moreover, this Special Issue will address how the brain works during sports and analyze gait techniques and human activities and their effects on health. This Special Issue aims to motivate researchers from both academia and industry to investigate and analyze various aspects of AI-enabled IoT devices and their roles in sports and public health. Any pioneering methods and algorithms detailed in original research and review articles that offer improvements in sports and public health are welcome.
Potential topics include but are not limited to the following:
- Internet of Medical Things in sports and public health
- AI and IoT-assisted technology in human activity recognition during sports
- AI-enabled IoT applications in neurodegenerative health issues
- Analyzing cognitive abilities during sports
- Connecting the brain with sports and public health
- Deep learning-based processing and diagnostic analysis of biomedical sensor data
- Gait analysis based on group wearable sensors in sports
- Novel designs in machine learning and statistical applications in health informatics
- Intelligent monitoring of amputee behavior analysis using wearable technology
- Digital healthcare system for athletes using sensor-based technology
- Applications of wireless body area networks in sports
- Data- and model-driven intelligent and smart healthcare systems
- Novel designs of smart health services using big data analytics
- Novel application and evaluation study in sports and public health
Have read and digest the material i found it really helpful to my research course
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