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The best body spot to detect the vital capacity from the respiratory movement data obtained by the wearable strain sensor
[Purpose] The purpose of this study is to find the best body spots on the chest and abdomen wall to obtain the correlated indicators to the vital capacity. [Subjects and Methods] Thirty healthy male staff of the center served as the participants were advised to conduct a breathing movement using spi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society of Physical Therapy Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909008/ https://www.ncbi.nlm.nih.gov/pubmed/29706712 http://dx.doi.org/10.1589/jpts.30.586 |
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author | Liu, Haijuan Guo, Shaopeng Liu, Huilin Zhang, Hao Chen, Sujie Kuramoto-Ahuja, Tsugumi Sato, Tamae Kaneko, Junichiro Onoda, Ko Maruyama, Hitoshi |
author_facet | Liu, Haijuan Guo, Shaopeng Liu, Huilin Zhang, Hao Chen, Sujie Kuramoto-Ahuja, Tsugumi Sato, Tamae Kaneko, Junichiro Onoda, Ko Maruyama, Hitoshi |
author_sort | Liu, Haijuan |
collection | PubMed |
description | [Purpose] The purpose of this study is to find the best body spots on the chest and abdomen wall to obtain the correlated indicators to the vital capacity. [Subjects and Methods] Thirty healthy male staff of the center served as the participants were advised to conduct a breathing movement using spirometer and a wearable strain sensor (WSS) respectively, which was the measured at four spots on chest and abdomen wall from maximal end of inspiration to maximal end of expiration. The Pearson’s correlation analysis was conducted to find the correlation of the data obtained respectively by the WSS and spirometer. [Results] The correlation of the mobility data at the four body spots to the vital capacity data were calculated for each level by means of Pearson’s correlation coefficient, which showed that the values at each body spot were positive significant correlations and the highest value was at the 10th rib. [Conclusion] There was a correlation between the mobility data of the chest and abdomen obtained by the WSS and the vital capacity data obtained by the spirometer, for which, the 10th rib is the best body spot to detect the positive significant correlation. |
format | Online Article Text |
id | pubmed-5909008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Society of Physical Therapy Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59090082018-04-27 The best body spot to detect the vital capacity from the respiratory movement data obtained by the wearable strain sensor Liu, Haijuan Guo, Shaopeng Liu, Huilin Zhang, Hao Chen, Sujie Kuramoto-Ahuja, Tsugumi Sato, Tamae Kaneko, Junichiro Onoda, Ko Maruyama, Hitoshi J Phys Ther Sci Original Article [Purpose] The purpose of this study is to find the best body spots on the chest and abdomen wall to obtain the correlated indicators to the vital capacity. [Subjects and Methods] Thirty healthy male staff of the center served as the participants were advised to conduct a breathing movement using spirometer and a wearable strain sensor (WSS) respectively, which was the measured at four spots on chest and abdomen wall from maximal end of inspiration to maximal end of expiration. The Pearson’s correlation analysis was conducted to find the correlation of the data obtained respectively by the WSS and spirometer. [Results] The correlation of the mobility data at the four body spots to the vital capacity data were calculated for each level by means of Pearson’s correlation coefficient, which showed that the values at each body spot were positive significant correlations and the highest value was at the 10th rib. [Conclusion] There was a correlation between the mobility data of the chest and abdomen obtained by the WSS and the vital capacity data obtained by the spirometer, for which, the 10th rib is the best body spot to detect the positive significant correlation. The Society of Physical Therapy Science 2018-04-20 2018-04 /pmc/articles/PMC5909008/ /pubmed/29706712 http://dx.doi.org/10.1589/jpts.30.586 Text en 2018©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article Liu, Haijuan Guo, Shaopeng Liu, Huilin Zhang, Hao Chen, Sujie Kuramoto-Ahuja, Tsugumi Sato, Tamae Kaneko, Junichiro Onoda, Ko Maruyama, Hitoshi The best body spot to detect the vital capacity from the respiratory movement data obtained by the wearable strain sensor |
title | The best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
title_full | The best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
title_fullStr | The best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
title_full_unstemmed | The best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
title_short | The best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
title_sort | best body spot to detect the vital capacity from the respiratory movement
data obtained by the wearable strain sensor |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909008/ https://www.ncbi.nlm.nih.gov/pubmed/29706712 http://dx.doi.org/10.1589/jpts.30.586 |
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