Context-aware system for cardiac condition monitoring and management: a survey-Reference-Cited by-同舟云学术

Context-aware system for cardiac condition monitoring and management: a survey

Published:2020-10-23 Issue: Volume: Page:1-18
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Ogbuabor Godwin Okechukwu¹,Augusto Juan Carlos¹^ORCID,Moseley Ralph¹,van Wyk Aléchia²

Affiliation:

1. Research Group on Development of Intelligent Environments, Department of Computer Science, Middlesex University, London, UK

2. Department of Natural Sciences, Middlesex University, London, UK

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2020.1836255

Reference103 articles.

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3. Abowd, G. D., A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles. 1999, September. “Towards a Better Understanding of Context and Context-Awareness.” In International Symposium on Handheld and Ubiquitous Computing, 304–307. Berlin, Heidelberg: Springer.

4. Ahmad, M., V. Tundjungsari, D. Widianti, P. Amalia, and U. A. Rachmawati. 2017, November. “Diagnostic Decision Support System of Chronic Kidney Disease Using Support Vector Machine.” In Informatics and Computing (ICIC), 2017 Second International Conference on, 1–4. IEEE.

5. Albert, B., J. Zhang, A. Noyvirt, R. Setchi, H. Sjaaheim, S. Velikova, and F. Strisland. 2016, July. “Automatic EEG Processing for the Early Diagnosis of Traumatic Brain Injury.” In World Automation Congress (WAC), 1–6. IEEE.

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