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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...

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Autores principales: Wang, Fu-Tai, Chan, Hsiao-Lung, Wang, Chun-Li, Jian, Hung-Ming, Lin, Sheng-Hsiung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
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.
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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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