Gatsios, D; Georga, EI; Kourou, KK; Fotiadis, DI; Liston, M; Pavlou, M; Kikidis, D; ... Costafreda, S; + view all Gatsios, D; Georga, EI; Kourou, KK; Fotiadis, DI; Liston, M; Pavlou, M; Kikidis, D; Bibas, A; Nikitas, C; Eva Bamiou, D; Costafreda, S; - view fewer (2019) Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults. In: Makedon, Fillia, (ed.) Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '19). (pp. pp. 616-619). ACM Digital Library: New York, USA.

Preview

Text Bamiou_AAM_HLB_PETRA19_20190401.pdf - Accepted Version Download (701kB) | Preview

Abstract

Balance disorders are expressed with main symptoms of vertigo, dizziness instability and disorientation. Most of them are caused by inner ear pathologies, but neurological, medical and psychological factors are also responsible. Balance disorders overwhelmingly affect daily activities and cause psychological and emotional hardship. They are also the main cause of falls which are a global epidemic. Home based balance rehabilitation is an effective approach for alleviating symptoms and for improving balance and self-confidence. However, the adherence in such programs is usually low with lack of motivation and disease related issues being the most influential factors. Holobalance adopts the Capability, Opportunity and Motivation (COM) and Behaviour (B) model to identify the sources of the behaviour that should be targeted for intervention and proposes specific Information Technology components that provide the identified interventions to the users in order to achieve the target behavioural change, which in this case is adherence to home base rehabilitation.

Download activity - last month

Export as JSONXMLCSV

Download activity - last 12 months

Export as JSONCSVXML

Downloads by country - last 12 months

Export as XMLCSVJSON

Archive Staff Only

View Item