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Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition
Impedance plethysmography provides a way to measure respiratory activity by sensing the change of thoracic impedance caused by inspiration and expiration. This measurement imposes little pressure on the body and uses the human body as the sensor, thereby reducing the need for adjustments as body pos...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541883/ https://www.ncbi.nlm.nih.gov/pubmed/26198231 http://dx.doi.org/10.3390/s150716372 |
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author | Wang, Fu-Tai Chan, Hsiao-Lung Wang, Chun-Li Jian, Hung-Ming Lin, Sheng-Hsiung |
author_facet | Wang, Fu-Tai Chan, Hsiao-Lung Wang, Chun-Li Jian, Hung-Ming Lin, Sheng-Hsiung |
author_sort | Wang, Fu-Tai |
collection | PubMed |
description | Impedance plethysmography provides a way to measure respiratory activity by sensing the change of thoracic impedance caused by inspiration and expiration. This measurement imposes little pressure on the body and uses the human body as the sensor, thereby reducing the need for adjustments as body position changes and making it suitable for long-term or ambulatory monitoring. The empirical mode decomposition (EMD) can decompose a signal into several intrinsic mode functions (IMFs) that disclose nonstationary components as well as stationary components and, similarly, capture respiratory episodes from thoracic impedance. However, upper-body movements usually produce motion artifacts that are not easily removed by digital filtering. Moreover, large motion artifacts disable the EMD to decompose respiratory components. In this paper, motion artifacts are detected and replaced by the data mirrored from the prior and the posterior before EMD processing. A novel intrinsic respiratory reconstruction index that considers both global and local properties of IMFs is proposed to define respiration-related IMFs for respiration reconstruction and instantaneous respiratory estimation. Based on the experiments performing a series of static and dynamic physical activates, our results showed the proposed method had higher cross correlations between respiratory frequencies estimated from thoracic impedance and those from oronasal airflow based on small window size compared to the Fourier transform-based method. |
format | Online Article Text |
id | pubmed-4541883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-45418832015-08-26 Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition Wang, Fu-Tai Chan, Hsiao-Lung Wang, Chun-Li Jian, Hung-Ming Lin, Sheng-Hsiung Sensors (Basel) Article Impedance plethysmography provides a way to measure respiratory activity by sensing the change of thoracic impedance caused by inspiration and expiration. This measurement imposes little pressure on the body and uses the human body as the sensor, thereby reducing the need for adjustments as body position changes and making it suitable for long-term or ambulatory monitoring. The empirical mode decomposition (EMD) can decompose a signal into several intrinsic mode functions (IMFs) that disclose nonstationary components as well as stationary components and, similarly, capture respiratory episodes from thoracic impedance. However, upper-body movements usually produce motion artifacts that are not easily removed by digital filtering. Moreover, large motion artifacts disable the EMD to decompose respiratory components. In this paper, motion artifacts are detected and replaced by the data mirrored from the prior and the posterior before EMD processing. A novel intrinsic respiratory reconstruction index that considers both global and local properties of IMFs is proposed to define respiration-related IMFs for respiration reconstruction and instantaneous respiratory estimation. Based on the experiments performing a series of static and dynamic physical activates, our results showed the proposed method had higher cross correlations between respiratory frequencies estimated from thoracic impedance and those from oronasal airflow based on small window size compared to the Fourier transform-based method. MDPI 2015-07-07 /pmc/articles/PMC4541883/ /pubmed/26198231 http://dx.doi.org/10.3390/s150716372 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Fu-Tai Chan, Hsiao-Lung Wang, Chun-Li Jian, Hung-Ming Lin, Sheng-Hsiung Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title | Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title_full | Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title_fullStr | Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title_full_unstemmed | Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title_short | Instantaneous Respiratory Estimation from Thoracic Impedance by Empirical Mode Decomposition |
title_sort | instantaneous respiratory estimation from thoracic impedance by empirical mode decomposition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4541883/ https://www.ncbi.nlm.nih.gov/pubmed/26198231 http://dx.doi.org/10.3390/s150716372 |
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