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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5751646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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