Ethical framework of assistive devices: review and reflection

The population of ageing is growing significantly over the world, and there is an emerging demand for better healthcare services and more care centres. Innovations of Information and Communication Technology has resulted in development of various types of assistive robots to fulfil elderly’s needs and independency, whilst carrying out daily routine tasks. This makes it vital to have a clear understanding of elderly’s needs and expectations from assistive robots. This paper addresses current ethical issues to understand elderly’s prime needs. Also, we consider other general ethics with the purpose of applying these theories to form a proper ethics framework. In the ethics framework, the ethical concerns of senior citizens will be prioritized to satisfy elderly’s needs and also to diminish related expenses to healthcare services

Un prototipo di Gait Trainer

Le disabilità motorie sono impedimenti importanti dell’individuo, siano esse temporanee o permanenti, e sono causa di limitazioni alle attività del vivere quotidiano. Le disabilità motorie sono causate da lesioni vertebrali, da malattie cerebrovascolari,da malattie neurologiche, ecc. Il numero di persone che ci soffre è in crescita in tutto il mondo, a causa dell’aumento della popolazione e dell’invecchiamento. Se si fa riferimento alle sole persone con lesione midollare, il Ministero della Salute stima il loro numero intorno alle 70.000, con un trend in aumento di circa 2.500 nuovi casi ogni anno. In Italia le cause più frequenti sono gli incidenti stradali e gli infortuni sul lavoro

Development and Evaluation of Methodology for Personal Recommendations Applicable in Connected Health.

In this paper, a personal recommendation system of outdoor physical activities using solely user’s history data and without application of collaborative filtering algorithms is proposed and evaluated. The methodology proposed contains four phases: data fuzzyfication, activity usefulness calculation, estimation of most useful activities, activities classification. In the process of classification several data mining techniques were compared such as: decision trees algorithms, decision rules algorithm, Bayes algorithm and support vector machines. The pro-posed algorithm has been experimentally validated using real dataset collected in a certain period of time from a community of 1000 active users. Recommendations generated by the system were related to weight loss. The results show that our generated recommendations have high accuracy, up to 95%