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Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion

Respiratory activity is an essential vital sign of life that can indicate changes in typical breathing patterns and irregular body functions such as asthma and panic attacks. Many times, there is a need to monitor breathing activity while performing day-to-day functions such as standing, bending, tr...

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Autores principales: Gaidhani, Apoorva, Moon, Kee S., Ozturk, Yusuf, Lee, Sung Q., Youm, Woosub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751646/
https://www.ncbi.nlm.nih.gov/pubmed/29258214
http://dx.doi.org/10.3390/s17122932
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author Gaidhani, Apoorva
Moon, Kee S.
Ozturk, Yusuf
Lee, Sung Q.
Youm, Woosub
author_facet Gaidhani, Apoorva
Moon, Kee S.
Ozturk, Yusuf
Lee, Sung Q.
Youm, Woosub
author_sort Gaidhani, Apoorva
collection PubMed
description Respiratory activity is an essential vital sign of life that can indicate changes in typical breathing patterns and irregular body functions such as asthma and panic attacks. Many times, there is a need to monitor breathing activity while performing day-to-day functions such as standing, bending, trunk stretching or during yoga exercises. A single IMU (inertial measurement unit) can be used in measuring respiratory motion; however, breathing motion data may be influenced by a body trunk movement that occurs while recording respiratory activity. This research employs a pair of wireless, wearable IMU sensors custom-made by the Department of Electrical Engineering at San Diego State University. After appropriate sensor placement for data collection, this research applies principles of robotics, using the Denavit-Hartenberg convention, to extract relative angular motion between the two sensors. One of the obtained relative joint angles in the “Sagittal” plane predominantly yields respiratory activity. An improvised version of the proposed method and wearable, wireless sensors can be suitable to extract respiratory information while performing sports or exercises, as they do not restrict body motion or the choice of location to gather data.
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spelling pubmed-57516462018-01-10 Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion Gaidhani, Apoorva Moon, Kee S. Ozturk, Yusuf Lee, Sung Q. Youm, Woosub Sensors (Basel) Article Respiratory activity is an essential vital sign of life that can indicate changes in typical breathing patterns and irregular body functions such as asthma and panic attacks. Many times, there is a need to monitor breathing activity while performing day-to-day functions such as standing, bending, trunk stretching or during yoga exercises. A single IMU (inertial measurement unit) can be used in measuring respiratory motion; however, breathing motion data may be influenced by a body trunk movement that occurs while recording respiratory activity. This research employs a pair of wireless, wearable IMU sensors custom-made by the Department of Electrical Engineering at San Diego State University. After appropriate sensor placement for data collection, this research applies principles of robotics, using the Denavit-Hartenberg convention, to extract relative angular motion between the two sensors. One of the obtained relative joint angles in the “Sagittal” plane predominantly yields respiratory activity. An improvised version of the proposed method and wearable, wireless sensors can be suitable to extract respiratory information while performing sports or exercises, as they do not restrict body motion or the choice of location to gather data. MDPI 2017-12-17 /pmc/articles/PMC5751646/ /pubmed/29258214 http://dx.doi.org/10.3390/s17122932 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gaidhani, Apoorva
Moon, Kee S.
Ozturk, Yusuf
Lee, Sung Q.
Youm, Woosub
Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title_full Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title_fullStr Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title_full_unstemmed Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title_short Extraction and Analysis of Respiratory Motion Using Wearable Inertial Sensor System during Trunk Motion
title_sort extraction and analysis of respiratory motion using wearable inertial sensor system during trunk motion
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751646/
https://www.ncbi.nlm.nih.gov/pubmed/29258214
http://dx.doi.org/10.3390/s17122932
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