Development of The Pediatric Physical Activity Tracking Platform (Pedi@Ctivity) and Smartwatch-based Big Data Analysis

Summary

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.

Conditions

• Physical Activity
• Adolescent
• Childhood Rheumatic Disease

Interventions

OTHER

Pedi@ctivity Analysis and Tracking Mobile Applications and Web Platform

"Pedi@ctivity Analysis Mobile Application" and than Pedi@ctivity Analysis and Tracking Web Platform synchronized with the Pedi@ctivity Tracking Mobile Application, will be developed. The collected data will be analyzed with statistical methods and models using artificial intelligence algorithms will be created. According to the evaluations, physical activity and exercise videos and programs will be prepared and uploaded to web platform. Programs will include stretching, strengthening, balance, aerobic, calisthenic exercises and aerobic dance. The exercise and physical activity program will also be synchronized with the Pedi@ctivity Tracking Mobile Application and the smart watch. Pedi@ctivity Mobile Applications will provide health parameters from the smart watch, suggestions suitable for the exercise and physical activity program, and motivational feedback. Each adolescent will be included in a 3-month program. After the 3-month all evaluations at the beginning will be repeated.

Sponsors & Collaborators

• The Scientific and Technological Research Council of Turkey

  collaborator OTHER

• Istanbul University - Cerrahpasa

  lead OTHER

Principal Investigators

• Nilay Arman, Assoc.Prof. · Istanbul University-Cerrahpaşa, Faculty of Health Science, Department of Physiotherapy and Rehabilitation

• Asya Albayrak, Pt., MSc. · Istanbul University-Cerrahpasa, Institute of Postgraduate Education

• Asena Yekdaneh, Pt., MSc. · Istanbul University-Cerrahpasa, Institute of Postgraduate Education

• Tuna Cakar, Assist. Prof. · MEF University, Department of Computer Engineering

• Nuray Aktay Ayaz, Prof. Dr. · Istanbul Faculty of Medicine, Department of Internal Medicine, Department of Pediatric Rheumatology

• Sevim Gullu, Assoc. Prof. · Istanbul University-Cerrahpasa, Faculty of Sports Sciences, Department of Recreation

• Alperen Sayar · MEF University, Graduate School of Science and Engineering,Department of Information Technologies

• Tunahan Bozkan · MEF University, Graduate School of Science and Engineering,Department of Information Technologies

Study Design

Allocation

NON_RANDOMIZED

Purpose

HEALTH_SERVICES_RESEARCH

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

12 Years

Max Age

18 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2022-08-30

Primary Completion

2023-05-30

Completion

2024-01-30

Countries

• Turkey (Türkiye)

Study Locations