Personalized Pervasive Health

Publication Type Journal Article
Authors Oliver Amft, Jesus Favela, Stephen Intille, Mirco Musolesi, Vassilis Kostakos
Title Personalized Pervasive Health
Abstract Over more than two decades, mobile, wearable and ambient sensor and interaction devices have grown into today’s plethora of computing platforms and tools for pervasive health. Pervasive computing is now assimilating into medicine, from disease risk prevention to diagnostics, and from treatment support to chronic care management. Unlike more traditional medical lab technology, pervasive computing systems can be continuously available, using unobtrusive sensors, actuators, computing, and interactive interfaces to liberalise access to information on basic body function and processes in everyday life, e.g. physical activity and vital signs. Pervasive computing platforms now natively provide practitioners and researchers with a set of functionalities that allow for the development of applications and systems that are able to make sense of complex situations, e.g. daily routines, mood, and the user’s physiology. With this potential at hand, pervasive computing systems will play a central role as enabling technology for healthcare.

This special issue includes application examples in pervasive health. The selected papers highlight promising trends, opportunities, and challenges and demonstrate how pervasive computing can be translated into healthcare solutions. The papers also show that novel, rapid evaluation processes that incorporate relevant stakeholders, including patients and medical professionals, are necessary when creating pervasive health systems. Furthermore the investigations presented in this issue illustrate the ongoing quest to use new technologies to obtain reliable measurement of health-related behaviors and body-internal processes.

Publication IEEE Pervasive Computing
Volume 19
Issue 3
Pages 11-13
Date 2020
DOI 10.1109/MPRV.2020.3003142
ISSN 1558-2590
Library Catalog IEEE Xplore
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Friedrich-Alexander-Universität Erlangen-Nürnberg