CUIDATS: an RFID–WSN hybrid monitoring system for smart health care environments
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TLDR
CUIDATS is presented, an IoT hybrid monitoring system for health care environments which integrates RFID and WSN technologies in a single platform providing location, status, and tracking of patients and assets.About:
This article is published in Future Generation Computer Systems.The article was published on 2018-01-01 and is currently open access. It has received 121 citations till now. The article focuses on the topics: Smart city & Testbed.read more
Figures
Table 3: Information included in RFID tags. 
Figure 1: Architecture of CUIDATS hybrid monitoring system 
Figure 10: Number of readings per tag for detecting user escape 
Figure 11: Percentage of RFID readings in function of the distance to the tag 
Table 4: List of elements of the CUIDATS wristband 
Figure 2: CUIDATS Wristband
Citations
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Journal ArticleDOI
Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics
Farshad Firouzi,Amir M. Rahmani,Amir M. Rahmani,Kunal Mankodiya,Mustafa Badaroglu,Geoff V. Merrett,P. Wong,Bahar Farahani +7 more
TL;DR: The purpose of this special issue is to analyze the top concerns in IoT technologies that pertain to smart sensors for health care applications; particularly applications targeted at individualized tele-health interventions with the goal of enabling healthier ways of life.
Journal ArticleDOI
The application of internet of things in healthcare: a systematic literature review and classification
Hossein Ahmadi,Hossein Ahmadi,Goli Arji,Leila Shahmoradi,Reza Safdari,Mehrbakhsh Nilashi,Mehrbakhsh Nilashi,Mojtaba Alizadeh +7 more
TL;DR: It was revealed that home healthcare service was one of the main application areas of IoT in healthcare, and the main challenges of Internet of Things in healthcare were security and privacy issues.
Journal ArticleDOI
A review of IoT sensing applications and challenges using RFID and wireless sensor networks
Hugo Landaluce,Laura Arjona,Asier Perallos,Francisco Falcone,Ignacio Angulo,Florian Muralter +5 more
TL;DR: Two emerging trends in IoT are reviewed: the combination of RFID and WSNs in order to exploit their advantages and complement their limitations, and wearable sensors, which enable new promising IoT applications.
Journal ArticleDOI
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities
TL;DR: A ubiquitous healthcare framework, UbeHealth, is proposed that leverages edge computing, deep learning,big data, big data, high-performance computing (HPC), and the Internet of Things (IoT) to address the aforementioned challenges.
Journal ArticleDOI
A review and categorization of techniques on device-free human activity recognition
TL;DR: A comprehensive survey of the work conducted over the period 2010-2018 in various areas of human activity recognition with main focus on device-free solutions and proposes a new taxonomy for categorizing the research work conducted in the field of activity recognition.
References
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GPS-less low-cost outdoor localization for very small devices
TL;DR: This work reviews localization techniques and evaluates the effectiveness of a very simple connectivity metric method for localization in outdoor environments that makes use of the inherent RF communications capabilities of these devices.
Journal ArticleDOI
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
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Shyamal Patel,Shyamal Patel,Hyung-Kyu Park,Paolo Bonato,Paolo Bonato,Leighton Chan,Mary M. Rodgers,Mary M. Rodgers +7 more
TL;DR: In this paper, a review of wearable sensors and systems that are relevant to the field of rehabilitation is presented, focusing on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders.
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Monitoring of Vital Signs with Flexible and Wearable Medical Devices
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Smart wearable systems: Current status and future challenges
TL;DR: The current research in wearable is examined to serve as references for researchers and provide perspectives for future research, focusing on multi-parameter physiological sensor systems and activity and mobility measurement system designs that reliably measure mobility or vital signs and integrate real-time decision support processing for disease prevention, symptom detection, and diagnosis.