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A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation

BACKGROUND: Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body Area Network (WBAN), a new enabling tec...

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Detalles Bibliográficos
Autores principales: Jovanov, Emil, Milenkovic, Aleksandar, Otto, Chris, de Groen, Piet C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC552302/
https://www.ncbi.nlm.nih.gov/pubmed/15740621
http://dx.doi.org/10.1186/1743-0003-2-6
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author Jovanov, Emil
Milenkovic, Aleksandar
Otto, Chris
de Groen, Piet C
author_facet Jovanov, Emil
Milenkovic, Aleksandar
Otto, Chris
de Groen, Piet C
author_sort Jovanov, Emil
collection PubMed
description BACKGROUND: Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body Area Network (WBAN), a new enabling technology for health monitoring. METHODS: Using off-the-shelf wireless sensors we designed a prototype WBAN which features a standard ZigBee compliant radio and a common set of physiological, kinetic, and environmental sensors. RESULTS: We introduce a multi-tier telemedicine system and describe how we optimized our prototype WBAN implementation for computer-assisted physical rehabilitation applications and ambulatory monitoring. The system performs real-time analysis of sensors' data, provides guidance and feedback to the user, and can generate warnings based on the user's state, level of activity, and environmental conditions. In addition, all recorded information can be transferred to medical servers via the Internet and seamlessly integrated into the user's electronic medical record and research databases. CONCLUSION: WBANs promise inexpensive, unobtrusive, and unsupervised ambulatory monitoring during normal daily activities for prolonged periods of time. To make this technology ubiquitous and affordable, a number of challenging issues should be resolved, such as system design, configuration and customization, seamless integration, standardization, further utilization of common off-the-shelf components, security and privacy, and social issues.
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spelling pubmed-5523022005-03-06 A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation Jovanov, Emil Milenkovic, Aleksandar Otto, Chris de Groen, Piet C J Neuroengineering Rehabil Research BACKGROUND: Recent technological advances in integrated circuits, wireless communications, and physiological sensing allow miniature, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated into a Wireless Body Area Network (WBAN), a new enabling technology for health monitoring. METHODS: Using off-the-shelf wireless sensors we designed a prototype WBAN which features a standard ZigBee compliant radio and a common set of physiological, kinetic, and environmental sensors. RESULTS: We introduce a multi-tier telemedicine system and describe how we optimized our prototype WBAN implementation for computer-assisted physical rehabilitation applications and ambulatory monitoring. The system performs real-time analysis of sensors' data, provides guidance and feedback to the user, and can generate warnings based on the user's state, level of activity, and environmental conditions. In addition, all recorded information can be transferred to medical servers via the Internet and seamlessly integrated into the user's electronic medical record and research databases. CONCLUSION: WBANs promise inexpensive, unobtrusive, and unsupervised ambulatory monitoring during normal daily activities for prolonged periods of time. To make this technology ubiquitous and affordable, a number of challenging issues should be resolved, such as system design, configuration and customization, seamless integration, standardization, further utilization of common off-the-shelf components, security and privacy, and social issues. BioMed Central 2005-03-01 /pmc/articles/PMC552302/ /pubmed/15740621 http://dx.doi.org/10.1186/1743-0003-2-6 Text en Copyright © 2005 Jovanov et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Jovanov, Emil
Milenkovic, Aleksandar
Otto, Chris
de Groen, Piet C
A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title_full A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title_fullStr A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title_full_unstemmed A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title_short A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
title_sort wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC552302/
https://www.ncbi.nlm.nih.gov/pubmed/15740621
http://dx.doi.org/10.1186/1743-0003-2-6
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