An IoT-Aware Architecture for Smart Healthcare Systems

By L. Catarinucci, Danilo De Donno, Luca Mainetti, Luca Palano, Luigi Patrono, M. Stefanizzi, L. Tarricone. IEEE Internet of Things Journal, 2015

1,004 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/5202b6fff2b27d090ee731ac8de69447af39f331

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In Biomedical Engineering

In Computer Networks and Communications

Citations in the corpus

Remote health monitoring of elderly through wearable sensors (2019, background): “Wireless sensor network (WSN) is the core of smart healthcare monitoring systems, where it represents than main sources of data, thus providing symptom physiological data [8, 9, 41] from patient’s body.”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “Some other smart applications, such as smart healthcare [39], smart home [40], smart city [41], big data analytics [42], and software-defined networks [43] also need a bridging point between cloud center and sensors to supporting the efficient services by edge computing.”
Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, positive): “Smart healthcare based on Federated Learning will empower clinical diagnosis and other subdivisions on the basis of protecting patient privacy, and will promote high-quality medical resources at extremely low cost [175].”
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions (2022, background): “services in the healthcare and medical domains [78].”
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “The proposed work in [62] demonstrates the integration of heterogeneous communication technologies for the deployment of the H-IoT scenario at multiple network layers.”
Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey (2023, background): “[84] Case study: Smart health Programming language: Java Operating system: Contiki Technologies: MySQL.”
Enabling Technologies for the Internet of Health Things (2018, background): “It includes pulse, oxygen in blood (SPO2), airflow (breathing), body temperature, glucometer, galvanic skin response, blood pressure, patient position (accelerometer), and electromyography [15]–[19].”
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, background): “Hence implementation of an information-centric mobile cloud-based healthcare system is necessary [112].”
Blockchain Technology in Healthcare: A Comprehensive Review and Directions for Future Research (2019, background): “[154] proposed a smart hospital system that consist of hybrid-sensing network exploiting constrained application protocol, IoT smart gateway, and a user interface to provide third-parties the ability to empower patients with health monitoring system.”
Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring (2016, background): “[16] proposed an IoT-aware architecture to monitor and assess a patient’s situation automatically by integrating ultra-high-frequency RFID functionality.”
Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring (2017, background): “gathering and sharing paradigms for personalized healthcare systems [1], [2], [6], ambient assisted living [7], user’s posture detection [8], and activity recognition [9], [13]–[15].”
Digital twin-driven product design framework (2019, background): “The applications of IoT can be found in many ﬁ elds such as healthcare (Catarinucci et al. 2015), transportation (Pyykönen et al. 2013), and smart city (Jin et al. 2014).”
A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective (2019, background): “To this end, various HIoT system architectures have been discussed in [129]–[133].”
Survey on Network Slicing for Internet of Things Realization in 5G Networks (2021, background): “Recent advances in IoT are identiﬁed as a potential solution to alleviate the pressures on the healthcare systems, such as medical staff shortage and high healthcare costs, while maintaining quality care to patients [120].”