Nowadays, the development of sensors and communication technologies enable the growth of new innovative services in healthcare. Telemedicine involves the use of rapidly evolving technology that carries enormous promises to improve the current level of remote medical care service. This work focuses its attention on the use of health sensors in support of telemedicine platform which has been projected in order to offer assistance to patients anytime, anywhere. Another subject dealt in this study is the use of mobile devices such as weareable sensor, smartwatch and others, connected to simple interfaces such as smartphones and app. Scientific challenges relate to the acquisition of accurate medical information from various forms of sensing inside or outside the body and to the processing of this information to support or actuate medical decisions. With these advanced technologies is possible to record real parameters, useful, after artificial intelligence algorithms processing, to an efficient and effective remote assistance. Lastly, has been conducted an experimentation of machine learning methods for the analysis of this physiological attributes, some of which has been generated from telemedicine platforms. The results have been useful to understand the classification of data revealed by health sensors.
PIATTAFORMA DI TELEMEDICINA ED INTEGRABILITÀ CON SENSORI SMART HEALTH
RIVIELLO, MARIA
2020/2021
Abstract
Nowadays, the development of sensors and communication technologies enable the growth of new innovative services in healthcare. Telemedicine involves the use of rapidly evolving technology that carries enormous promises to improve the current level of remote medical care service. This work focuses its attention on the use of health sensors in support of telemedicine platform which has been projected in order to offer assistance to patients anytime, anywhere. Another subject dealt in this study is the use of mobile devices such as weareable sensor, smartwatch and others, connected to simple interfaces such as smartphones and app. Scientific challenges relate to the acquisition of accurate medical information from various forms of sensing inside or outside the body and to the processing of this information to support or actuate medical decisions. With these advanced technologies is possible to record real parameters, useful, after artificial intelligence algorithms processing, to an efficient and effective remote assistance. Lastly, has been conducted an experimentation of machine learning methods for the analysis of this physiological attributes, some of which has been generated from telemedicine platforms. The results have been useful to understand the classification of data revealed by health sensors.| File | Dimensione | Formato | |
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TESI DI LAUREA MARIA RIVIELLO.pdf
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Descrizione: Tesi di laurea Riviello Maria
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https://hdl.handle.net/20.500.14253/109659