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Erschienen in:
Context-Aware Systems: Technologies and Challenges in Internet of Everything Environments Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement

verfasst von : Fábio Manoel Franca Lobato, Damares Crystina Oliveira de Resende, Roberto Pereira do Nascimento, André Luis Carvalho Siqueira, Antonio Fernando Lavareda Jacob Jr., Ádamo Lima de Santana

Erschienen in: Beyond the Internet of Things

Verlag: Springer International Publishing

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Abstract

The attention on sleep disorders has grown in recent years. Mainly because of the changes imposed by the information and communication Era. These changes have impacted in a hazardous way on our sleep quality. The current mainstream sleep disorder detection and assessment method, the laboratory polysomnography, is very expensive and inconvenient for patients who are extracted from their own sleep-environment. Aiming to avoid the high costs and to perform an assessment in loco, we present in this chapter a multimodal low-invasive system for sleep quality monitoring and its improvement by Internet of Things paradigm. A stand-alone device was designed to provide robustness, scalability and usability to a completely built-in sleep assessment system. The main goal of this in-home device is to give more accurate information to physicians and technical staff, assisting in the screening process, reducing costs and helping to improve the wellbeing of people with sleep disorders.

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Vorheriges Kapitel Integration of Internet of Everything (IoE) with Cloud
Nächstes Kapitel On Real Time Implementation of Emotion Detection Algorithms in Internet of Things
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Metadaten
Titel
Multimodal Low-Invasive System for Sleep Quality Monitoring and Improvement
verfasst von
Fábio Manoel Franca Lobato
Damares Crystina Oliveira de Resende
Roberto Pereira do Nascimento
André Luis Carvalho Siqueira
Antonio Fernando Lavareda Jacob Jr.
Ádamo Lima de Santana
Copyright-Jahr
2017
Buch
Beyond the Internet of Things

Print ISBN: 978-3-319-50756-9

Electronic ISBN: 978-3-319-50758-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-50758-3_9

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