Information management in IoT cloud-based tele-rehabilitation as a service for smart cities: Comparison of NoSQL approaches

Antonio Celesti, Aimé Lay-Ekuakille, Jiafu Wan, Maria Fazio, Fabrizio Celesti, Agata Romano, Placido Bramanti, Massimo Villari

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number107218
JournalMeasurement: Journal of the International Measurement Confederation
Volume151
DOIs
Publication statusPublished - Feb 2020

Keywords

  • Big data
  • Cloud computing
  • Healthcare
  • Internet of Thing
  • Measurement
  • NoSQL DBMS
  • Remote monitoring
  • Sensor and actuators
  • Smart cities
  • Tele-rehabilitation

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

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