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Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring

In recent years there is growing pressure on the medical sector to reduce costs while maintaining or even improving the quality of care. A potential solution to this problem is real time and/or remote patient monitoring by using mobile devices. To achieve this, medical sensors with wireless communic...

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Detalles Bibliográficos
Autores principales: Marinkovic, Stevan, Popovici, Emanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436008/
https://www.ncbi.nlm.nih.gov/pubmed/22969379
http://dx.doi.org/10.3390/s120607917
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author Marinkovic, Stevan
Popovici, Emanuel
author_facet Marinkovic, Stevan
Popovici, Emanuel
author_sort Marinkovic, Stevan
collection PubMed
description In recent years there is growing pressure on the medical sector to reduce costs while maintaining or even improving the quality of care. A potential solution to this problem is real time and/or remote patient monitoring by using mobile devices. To achieve this, medical sensors with wireless communication, computational and energy harvesting capabilities are networked on, or in, the human body forming what is commonly called a Wireless Body Area Network (WBAN). We present the implementation of a novel Wake Up Receiver (WUR) in the context of standardised wireless protocols, in a signal-oriented WBAN environment and present a novel protocol intended for wireless health monitoring (WhMAC). WhMAC is a TDMA-based protocol with very low power consumption. It utilises WBAN-specific features and a novel ultra low power wake up receiver technology, to achieve flexible and at the same time very low power wireless data transfer of physiological signals. As the main application is in the medical domain, or personal health monitoring, the protocol caters for different types of medical sensors. We define four sensor modes, in which the sensors can transmit data, depending on the sensor type and emergency level. A full power dissipation model is provided for the protocol, with individual hardware and application parameters. Finally, an example application shows the reduction in the power consumption for different data monitoring scenarios.
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spelling pubmed-34360082012-09-11 Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring Marinkovic, Stevan Popovici, Emanuel Sensors (Basel) Article In recent years there is growing pressure on the medical sector to reduce costs while maintaining or even improving the quality of care. A potential solution to this problem is real time and/or remote patient monitoring by using mobile devices. To achieve this, medical sensors with wireless communication, computational and energy harvesting capabilities are networked on, or in, the human body forming what is commonly called a Wireless Body Area Network (WBAN). We present the implementation of a novel Wake Up Receiver (WUR) in the context of standardised wireless protocols, in a signal-oriented WBAN environment and present a novel protocol intended for wireless health monitoring (WhMAC). WhMAC is a TDMA-based protocol with very low power consumption. It utilises WBAN-specific features and a novel ultra low power wake up receiver technology, to achieve flexible and at the same time very low power wireless data transfer of physiological signals. As the main application is in the medical domain, or personal health monitoring, the protocol caters for different types of medical sensors. We define four sensor modes, in which the sensors can transmit data, depending on the sensor type and emergency level. A full power dissipation model is provided for the protocol, with individual hardware and application parameters. Finally, an example application shows the reduction in the power consumption for different data monitoring scenarios. Molecular Diversity Preservation International (MDPI) 2012-06-08 /pmc/articles/PMC3436008/ /pubmed/22969379 http://dx.doi.org/10.3390/s120607917 Text en © 2012 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Marinkovic, Stevan
Popovici, Emanuel
Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title_full Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title_fullStr Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title_full_unstemmed Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title_short Ultra Low Power Signal Oriented Approach for Wireless Health Monitoring
title_sort ultra low power signal oriented approach for wireless health monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436008/
https://www.ncbi.nlm.nih.gov/pubmed/22969379
http://dx.doi.org/10.3390/s120607917
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