Development of Systems for Physical and Cognitive Training, Clinical Registry and Monitoring, Big Data Visual Analytics and Virtual Coaching of Vulnerable Populations

18/07/18 to 22/04/20

The continuous increase in life expectancy has led to a higher occurrence of age-related chronic diseases. The Chronic Heart Failure (CHF) is a disease with a strong socio-economic impact as it accounts for 5% of hospital admissions and 10% of the hospitalized population while absorbing the 2% of the national health budget. The CHF patients need to be constantly supervised by medical staff for the conformation of their care plan. Meanwhile, self-care entails major non-compliance rates since patients do not follow the instructions of their physician.

Within the framework of the project "Supporting researchers with emphasis on young researchers" of the operational program "Human Resource Development, Education and Lifelong Learning" co-funded by the European Social Fund and national resources, we will develop a holistic approach called BioTechCOACH-ForALL.

The main objective of the project is the development of an electronic coaching platform that aims at boosting the self-care of CHF patients. The platform will incorporate serious games of physical training and a medical decision support system that is based on the collection and processing of big data from non-intrusive sensors. Moreover, we will perform a neuroscientific assessment of virtual coaches’ (agents) characteristics attempting to find out which characteristics (age, gender, presence/absence of medical apron) could enhance patient engagement in the treatment plan.

The target group of BioTechCOACH-ForALL is patients with Chronic Heart Failure (>55 years old). The project aims at providing a holistic solution for better monitoring and coaching of patients with the ultimate goal of strengthening their self-care.

The research team is the following: Panagiotis Bamidis (Academic advisor), Evdokimos Konstantinidis (Post-doctoral researcher), Antonis Billis (PhD student), Sophia-Anastasia Mouratoglou (PhD student) and Niki Pandria (PhD student).

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