Tele-rehabilitation has recently emerged as an effective solution for providing assisted living, increasing clinical outcomes, positively enhancing patients' Quality of Life (QoL) and fostering their reintegration into society, also pushing down clinical costs. Cloud computing in combination with Edge Computing, the Internet of Things (IoT), Big Data storage and analytics, and Artificial Intelligence (AI) are the main enablers for tele-rehabilitation. In this paper, we present the Italian founded PRIN 2022 project entitled 'Tele-rehabilitation as a Service (TRaaS)'. It aims at creating a piece of reference intelligent Cloud/Edge framework architecture and a standard data model for the development of different kinds of new de-hospitalized tele-rehabilitation services. In particular, the rationale, study design, and methodology are discussed, also highlighting future research directions.
Celesti, A., Sannino, G., Bochicchio, M., Fazio, M., Villari, M., Celesti, F., et al. (2023). The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology. In Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023 (pp.1-7). Institute of Electrical and Electronics Engineers Inc. [10.1109/e-science58273.2023.10254814].
The Tele-Rehabilitaion as a Service (TRaaS) Project: Rationale, Study Design, and Methodology
Celesti, Fabrizio;
2023-01-01
Abstract
Tele-rehabilitation has recently emerged as an effective solution for providing assisted living, increasing clinical outcomes, positively enhancing patients' Quality of Life (QoL) and fostering their reintegration into society, also pushing down clinical costs. Cloud computing in combination with Edge Computing, the Internet of Things (IoT), Big Data storage and analytics, and Artificial Intelligence (AI) are the main enablers for tele-rehabilitation. In this paper, we present the Italian founded PRIN 2022 project entitled 'Tele-rehabilitation as a Service (TRaaS)'. It aims at creating a piece of reference intelligent Cloud/Edge framework architecture and a standard data model for the development of different kinds of new de-hospitalized tele-rehabilitation services. In particular, the rationale, study design, and methodology are discussed, also highlighting future research directions.
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https://hdl.handle.net/11365/1278062
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