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Fog computing for assisting and tracking elder patients with neurodegenerative diseases

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Abstract

U.S. hospitals transmit and manage great amounts of information with the avenue of Internet of things. This work departs from a real need detected by healthcare centers and hospitals in U.S., Spain and Ecuador. This work focuses on the application of fog computing for obtaining an app rich in visual content that will not overload U.S. hospital infrastructures even if it was used massively. The simulation results showed that the proposed fog-based approach could support a regular use (one day out of three on average) by 1% of patients of one of the most common neurodegenerative diseases in 14 states in U.S (i.e. 36,400 patients in total) with only a traffic of 528 KB per day on average when using one hospital per state.

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Acknowledgements

This work was performed during the research stay of the first author in the Massachusetts General Hospital and Harvard University, funded by “Dpto. de Innovación, Investigación y Universidad del Gobierno de Aragón” through the program “FEDER Aragón 2014-2020 Construyendo Europa desde Aragón” (Ref: T49_17R). This work also acknowledges the research project “Construcción de un framework para agilizar el desarrollo de aplicaciones móviles en el ámbito de la salud” funded by University of Zaragoza and Foundation Ibercaja with grant reference JIUZ-2017-TEC-03. We also acknowledge support from “Universidad de Zaragoza”, “Fundación Bancaria Ibercaja” and “Fundación CAI” in the “Programa Ibercaja-CAI de Estancias de Investigación” with reference IT1/18.

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Authors and Affiliations

  1. Department of Software Engineering and Artificial Intelligence, Complutense University of Madrid, 28040, Madrid, Spain

    Iván García-Magariño

  2. Instituto de Investigación Sanitaria Aragón, University of Zaragoza, Zaragoza, Spain

    Iván García-Magariño

  3. Facultad de Ingeniería y Tecnologías de la Información y Comunicación, Universidad Tecnológica Indoamérica, EC180103, Ambato, Ecuador

    José Varela-Aldas

  4. Department of Electronic Engineering and Communications, University of Zaragoza, 44003, Teruel, Spain

    Guillermo Palacios-Navarro

  5. Integrated Management Coastal Research Institute, Universitat Politècnica de València, 46022, València, Spain

    Jaime Lloret

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  1. Iván García-Magariño
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  2. José Varela-Aldas
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  3. Guillermo Palacios-Navarro
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  4. Jaime Lloret
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Correspondence to Jaime Lloret.

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This article is part of the Topical Collection: Special issue on Fog Computing for Healthcare

Guest Editors: Han-Chieh Chao, Sana Ullah, Christos Verikoukis, and Ki-Il Kim

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García-Magariño, I., Varela-Aldas, J., Palacios-Navarro, G. et al. Fog computing for assisting and tracking elder patients with neurodegenerative diseases. Peer-to-Peer Netw. Appl. 12, 1225–1235 (2019). https://doi.org/10.1007/s12083-019-00732-4

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