A Non-Invasive multi-faced problem-solving tool in a Dynamic sensor network for Pediatric Diabetes with Fall Detection

Abstract

Self-management of diabetes with active involvement of family members is a well-accepted, necessary and integral part of diabetes therapy in adults. Diabetes self-management is an important and emerging concept in adolescent patients with type-1 diabetes known as T1D. In this type-1 patients, effective self-management has been shown to be positively associated with clinical outcomes. However, in adolescent T1D patients, self-management could be difficult because of the natural and evolving age-appropriate attitudes and biological factors. Despite intensive assistance and guidance from their parents is required, studies have shown lack of self-discipline and management resulting in higher haemoglobin A1c. Data management and active feedback involves the emerging sensor network using IOT technology, telemedicine and usage of social media in diabetes care for adolescents. This includes the Internet, cell phone applications and software such as Skype, Facebook, etc..Improvement in glucose control (measured with HbA1c) within 6 months with sustained improvement at the end of a year in a group of adolescent children and young adults (with T1D) has been demonstrated by applying social media. The approach to patient care in adolescent T1D is swiftly shifted by the rapid expansion of these technologies for the treatment of diabetes. Effective and practical tools to solve therapeutic problems are provided by these technologies and used to improve their quality of care and life.