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Ubiquitous Risk Analysis of Physiological Data
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Author(s): Daniele Apiletti (Politecnico di Torino, Italy), Elena Baralis (Politecnico di Torino, Italy), Giulia Bruno (Politecnico di Torino, Italy)and Tania Cerquitelli (Politecnico di Torino, Italy)
Copyright: 2010
Pages: 14
Source title:
Ubiquitous and Pervasive Computing: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Judith Symonds (AUT University, New Zealand)
DOI: 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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