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Ubiquitous Risk Analysis of Physiological Data

Ubiquitous Risk Analysis of Physiological Data

Daniele Apiletti, Elena Baralis, Giulia Bruno, Tania Cerquitelli
Copyright: © 2010 |Pages: 14
ISBN13: 9781605669601|ISBN10: 1605669601|EISBN13: 9781605669618
DOI: 10.4018/978-1-60566-960-1.ch053
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MLA

Apiletti, Daniele, et al. "Ubiquitous Risk Analysis of Physiological Data." Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications, edited by Judith Symonds, IGI Global, 2010, pp. 853-866. https://doi.org/10.4018/978-1-60566-960-1.ch053

APA

Apiletti, D., Baralis, E., Bruno, G., & Cerquitelli, T. (2010). Ubiquitous Risk Analysis of Physiological Data. In J. Symonds (Ed.), Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications (pp. 853-866). IGI Global. https://doi.org/10.4018/978-1-60566-960-1.ch053

Chicago

Apiletti, Daniele, et al. "Ubiquitous Risk Analysis of Physiological Data." In Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications, edited by Judith Symonds, 853-866. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-960-1.ch053

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Abstract

Current advances in sensing devices and wireless technologies are providing a high opportunity for improving care quality and reducing the medical costs. This chapter presents the architecture of a mobile healthcare system and provides an overview of mobile health applications. Furthermore, it proposes a framework for patient monitoring that performs real-time stream analysis of data collected by means of non-invasive body sensors. It evaluates a patient’s health conditions by analyzing different physiological signals to identify anomalies and activate alarms in risk situations.

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