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Location verification algorithm of wearable sensors for wireless body area networks
BACKGROUND: Knowledge of the location of sensor devices is crucial for many medical applications of wireless body area networks, as wearable sensors are designed to monitor vital signs of a patient while the wearer still has the freedom of movement. However, clinicians or patients can misplace the w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004917/ https://www.ncbi.nlm.nih.gov/pubmed/29689752 http://dx.doi.org/10.3233/THC-173812 |
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author | Wang, Hua Wen, Yingyou Zhao, Dazhe |
author_facet | Wang, Hua Wen, Yingyou Zhao, Dazhe |
author_sort | Wang, Hua |
collection | PubMed |
description | BACKGROUND: Knowledge of the location of sensor devices is crucial for many medical applications of wireless body area networks, as wearable sensors are designed to monitor vital signs of a patient while the wearer still has the freedom of movement. However, clinicians or patients can misplace the wearable sensors, thereby causing a mismatch between their physical locations and their correct target positions. An error of more than a few centimeters raises the risk of mistreating patients. OBJECTIVE: The present study aims to develop a scheme to calculate and detect the position of wearable sensors without beacon nodes. METHODS: A new scheme was proposed to verify the location of wearable sensors mounted on the patient’s body by inferring differences in atmospheric air pressure and received signal strength indication measurements from wearable sensors. Extensive two-sample [Formula: see text] tests were performed to validate the proposed scheme. RESULTS: The proposed scheme could easily recognize a 30-cm horizontal body range and a 65-cm vertical body range to correctly perform sensor localization and limb identification. CONCLUSIONS: All experiments indicate that the scheme is suitable for identifying wearable sensor positions in an indoor environment. |
format | Online Article Text |
id | pubmed-6004917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60049172018-06-25 Location verification algorithm of wearable sensors for wireless body area networks Wang, Hua Wen, Yingyou Zhao, Dazhe Technol Health Care Research Article BACKGROUND: Knowledge of the location of sensor devices is crucial for many medical applications of wireless body area networks, as wearable sensors are designed to monitor vital signs of a patient while the wearer still has the freedom of movement. However, clinicians or patients can misplace the wearable sensors, thereby causing a mismatch between their physical locations and their correct target positions. An error of more than a few centimeters raises the risk of mistreating patients. OBJECTIVE: The present study aims to develop a scheme to calculate and detect the position of wearable sensors without beacon nodes. METHODS: A new scheme was proposed to verify the location of wearable sensors mounted on the patient’s body by inferring differences in atmospheric air pressure and received signal strength indication measurements from wearable sensors. Extensive two-sample [Formula: see text] tests were performed to validate the proposed scheme. RESULTS: The proposed scheme could easily recognize a 30-cm horizontal body range and a 65-cm vertical body range to correctly perform sensor localization and limb identification. CONCLUSIONS: All experiments indicate that the scheme is suitable for identifying wearable sensor positions in an indoor environment. IOS Press 2018-05-29 /pmc/articles/PMC6004917/ /pubmed/29689752 http://dx.doi.org/10.3233/THC-173812 Text en © 2018 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This article is published online with Open Access and distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC 4.0). |
spellingShingle | Research Article Wang, Hua Wen, Yingyou Zhao, Dazhe Location verification algorithm of wearable sensors for wireless body area networks |
title | Location verification algorithm of wearable sensors for wireless body area networks |
title_full | Location verification algorithm of wearable sensors for wireless body area networks |
title_fullStr | Location verification algorithm of wearable sensors for wireless body area networks |
title_full_unstemmed | Location verification algorithm of wearable sensors for wireless body area networks |
title_short | Location verification algorithm of wearable sensors for wireless body area networks |
title_sort | location verification algorithm of wearable sensors for wireless body area networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004917/ https://www.ncbi.nlm.nih.gov/pubmed/29689752 http://dx.doi.org/10.3233/THC-173812 |
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