Apollo EFP: Um Modelo para Cuidado Ubíquo Aplicado à Prevenção de Quedas de Idosos

According to official data, the accidental fall is the main cause of morbidity due to unintentional external causes to people over 60 years. This article presents a model for ubiquitous care applied to the prevention of falls in the elderly. The classification algorithm adopted is based on relative thresholds, for this purpose, it is proposed the Fall Risk Index (IRQ). The main scientific contribution of this study is the preventive analysis of the risk of falls, considering the profile, the health history and the context of the elderly in intelligent environments. Usability and acceptance evaluations were performed by 2 elderly people in a real setting. The results indicate the approval of 87% in the perceived ease of use and 100% in the perceived utility. In addition, we performed tests by simulation of 5 postural states by 10 elderly people with different profiles, resulting in a mean accuracy of the algorithm for prevention and detection of events related to falls of 96%.