Dispositivi meccatronici di diagnosi e ausilio funzionale

In this study it's propose a vision of mechatronic diagnostic system in coherence with the approach of the Internet of Things. The work has been divided into three main areas, closely related to each other, designed and conceived to be managed in the IoT field. The devices studied have been chosen for their particularity and quality, which at best reflect the synergy between Applied Mechanics and Diagnostic Medicine. The first chapter discusses the study, design and finally the construction of a prototype wearable corset instrumented for diagnostics and tele-assistance, with particular attention to the context of remote and tourist areas. In the corset prototype the electrical impedance cardiometry technology is integrated, which allows, in a non-invasive way, the determination of the vital hemodynamic parameters of the subject under examination. The second chapter discusses, through metabolic experiments, the human energy expenditure in the case of a particular activity in the agricultural field: the harvesting of saffron flower with and without a dedicated machine, made at the Applied Mechanics Laboratory of Cagliari University. In this case, by machine facilitator, it mean a machine capable of facilitating the act of harvesting the saffron flower in such a way as to reduce human energy expenditure, preserving the operator from postures and burdensome loads, and preserving the quality, constant over time, the flower collected regardless of the skill and level of professionalism of the operator. In the third chapter the human step was studied, analyzed and modeled with and without passive elastic energy storage devices called "Jumping Stilts". An analysis of the mechanical energy involved was carried out by comparing the situation without stilts and with stilts through a special algorithm developed on Matlab. Finally, the mechanical energy output was compared with the metabolic energy required at the input, in the case of normal gait, with and without the devices under study. In the fourth chapter, the IoT platform was introduced, developed by the team of sports physiology researchers during the research project called C.O.RE (Cardiac Output Recorder). The platform in question is used for sending and receiving hemodynamic and metabolic data.