TY - JOUR
T1 - Information management in IoT cloud-based tele-rehabilitation as a service for smart cities
T2 - Comparison of NoSQL approaches
AU - Celesti, Antonio
AU - Lay-Ekuakille, Aimé
AU - Wan, Jiafu
AU - Fazio, Maria
AU - Celesti, Fabrizio
AU - Romano, Agata
AU - Bramanti, Placido
AU - Villari, Massimo
N1 - Funding Information:
This work was supported by the Italian Healthcare Ministry founded project Young Researcher (under 40 years) entitled “Do Severe acquired brain injury patients benefit from Telerehabilitation? A Cost-effectiveness analysis study” – GR-2016-02361306. Jiafu Wan's work was supported by Guangdong Province Key Areas R&D Program (Nos. 2019B010150002 , 2019B090919002 ).
Publisher Copyright:
© 2019 Elsevier Ltd
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2020/2
Y1 - 2020/2
N2 - Nowadays, recent advancements in ICT have sped up the development of new services for smart cities in different application domains. One of these is definitely healthcare. In this context, remote patient monitoring and rehabilitation activities can take place either in satellite hospital centres or directly in citizens’ homes. Specifically, using a combination of Cloud computing, Internet of Things (IoT) and big data analytics technologies, patients with motor disabilities can be remotely assisted avoiding stressful waiting times and overcoming geographical barriers. This paper focuses on the Tele-Rehabilitation as a Service (TRaaS) concept. Such a service generates healthcare big data coming from remote rehabilitation devices used by patients that need to be processed in the hospital Cloud. Specifically, after a feasibility analysis, by using a Lokomat dataset as sample, we measured and compared the performances of four of the major NoSQL DBMS(s) demonstrating that the document approach well suits our case study.
AB - Nowadays, recent advancements in ICT have sped up the development of new services for smart cities in different application domains. One of these is definitely healthcare. In this context, remote patient monitoring and rehabilitation activities can take place either in satellite hospital centres or directly in citizens’ homes. Specifically, using a combination of Cloud computing, Internet of Things (IoT) and big data analytics technologies, patients with motor disabilities can be remotely assisted avoiding stressful waiting times and overcoming geographical barriers. This paper focuses on the Tele-Rehabilitation as a Service (TRaaS) concept. Such a service generates healthcare big data coming from remote rehabilitation devices used by patients that need to be processed in the hospital Cloud. Specifically, after a feasibility analysis, by using a Lokomat dataset as sample, we measured and compared the performances of four of the major NoSQL DBMS(s) demonstrating that the document approach well suits our case study.
KW - Big data
KW - Cloud computing
KW - Healthcare
KW - Internet of Thing
KW - Measurement
KW - NoSQL DBMS
KW - Remote monitoring
KW - Sensor and actuators
KW - Smart cities
KW - Tele-rehabilitation
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U2 - 10.1016/j.measurement.2019.107218
DO - 10.1016/j.measurement.2019.107218
M3 - Article
AN - SCOPUS:85075184948
VL - 151
JO - Industrial Metrology
JF - Industrial Metrology
SN - 1536-6367
M1 - 107218
ER -