Development of The Pediatric Physical Activity Tracking Platform (Pedi@Ctivity) and Smartwatch-based Big Data Analysis: A Digital Health Application in Society 5.0
Development of The Pediatric Physical Activity Tracking Platform (Pedi@Ctivity) and Smartwatch-based Big Data Analysis: A Digital Health Application in Society 5.0
Regular physical activity is extremely important for the protection and development of physical and psychosocial health. In addition, acquiring regular physical activity habits in the early years of life allows maintaining numerous gains related to physical fitness, functional capacity and psychoemotional health into adulthood.
Guided by scientific and technological innovations, focusing on sustainable development goals, the vision of Society 5.0 is based on digital innovation with artificial intelligence, the internet of things, digital technologies and big data, and is to increase the awareness of individuals and encourage individuals to take a role in improving their health status with wearable technology and mobile health applications. In the literature, only one study has been found on the acquisition of big data with wearable technologies for the promotion of physical activity in adolescents.
The general aim of our project is to obtain smartwatch-based big data for adolescents, which will be done for the first time in the field of health and sports in our country, and to analyze the obtained data using both statistical methods and big data analytics and artificial learning methods, to develop Pediatric Physical Activity Tracking Platform (Pedi@ktivite) through physical activity algorithms and to reveal the effect of the developed system on the physical fitness of adolescents and the usability of the system with scientific evidence. Within the scope of the project, adolescents with chronic rheumatic disease will also be included in the sample group, and the effects of the system to be developed in adolescents with the chronic rheumatic disease will be demonstrated. Due to the results obtained, we believe that this technology-supported approach will be an example of good practice for other chronic diseases.
As the first technology-supported and big data-oriented project for health and sports in adolescents, our project will fill an important gap and provide pioneering results for future projects, paving the way for providing services in the fields of health and sports with big data analytics and addressing physical inactivity.
Inclusion Criteria:
Adolescents aged 12-18 years who continue secondary education, Adolescents do not have any chronic diseases or disabilities Adolescents who volunteer to participate in the study
Adolescents with rheumatism aged between 12-18 Adolescents with chronic rheumatic disease who volunteer to participate in the study
Exclusion Criteria:
Adolescents who are older than 18 years of age, Adolescents who have had any discomfort or surgery that may affect their walking in the last 6 months, Adolescents and whose families are not asked to participate in the study
Adolescents who are older than 18 years of age, Adolescents who have poor mental status, accompanying rheumatism and have additional neurological diagnosis that may affect the intervention results, Adolescents whose family does not want to participate in the study