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Ecare@Home: A Distributed Research Environment on Semantic Interoperability Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Towards a Probabilistic Method for Longitudinal Monitoring in Health Care

Authors : Ning Xiong, Peter Funk

Published in: Internet of Things Technologies for HealthCare

Publisher: Springer International Publishing

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Abstract

The advances in IoT and wearable sensors enable long term monitoring, which promotes earlier and more reliable diagnosis in health care. This position paper proposes a probabilistic method to address the challenges in handling longitudinal sensor signals that are subject to stochastic uncertainty in health monitoring. We first explain how a longitudinal signal can be transformed into a Markov model represented as a matrix of conditional probabilities. Further, discussions are made on how the derived models of signals can be utilized for anomaly detection and classification for medical diagnosis.

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Metadata
Title
Towards a Probabilistic Method for Longitudinal Monitoring in Health Care
Authors
Ning Xiong
Peter Funk
Copyright Year
2016
Book
Internet of Things Technologies for HealthCare

Print ISBN: 978-3-319-51233-4

Electronic ISBN: 978-3-319-51234-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-51234-1_5

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