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Advanced Computing Methods for Impedance Plethysmography Data Processing
In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stabilit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949724/ https://www.ncbi.nlm.nih.gov/pubmed/35336269 http://dx.doi.org/10.3390/s22062095 |
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author | Khoma, Volodymyr Kenyo, Halyna Kawala-Sterniuk, Aleksandra |
author_facet | Khoma, Volodymyr Kenyo, Halyna Kawala-Sterniuk, Aleksandra |
author_sort | Khoma, Volodymyr |
collection | PubMed |
description | In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stability of parameters and to extend the functionality of the rheographic system based on digital signal processing, which applies to the compensation of the base resistance with a digital potentiometer, digital synthesis of quadrature excitation signals and the performance of digital synchronous detection. The emphasis was put on methods for determination of hemodynamic parameters by computer processing of the rheograms. As a result–three methods for respiratory artifacts elimination have been proposed: based on the discrete cosine transform, the discrete wavelet transform and the approximation of the zero line with spline functions. Additionally, computer methods for physiological indicators determination, including those based on wavelet decomposition, were also proposed and described in this paper. The efficiency of various rheogram compression algorithms was tested, evaluated and presented in this work. |
format | Online Article Text |
id | pubmed-8949724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89497242022-03-26 Advanced Computing Methods for Impedance Plethysmography Data Processing Khoma, Volodymyr Kenyo, Halyna Kawala-Sterniuk, Aleksandra Sensors (Basel) Article In this paper we are introducing innovative solutions applied in impedance plethysmography concerning improvement of the rheagraph characteristics and the efficiency increase of the developing rheograms using computer methods. The described methods have been developed in order to ensure the stability of parameters and to extend the functionality of the rheographic system based on digital signal processing, which applies to the compensation of the base resistance with a digital potentiometer, digital synthesis of quadrature excitation signals and the performance of digital synchronous detection. The emphasis was put on methods for determination of hemodynamic parameters by computer processing of the rheograms. As a result–three methods for respiratory artifacts elimination have been proposed: based on the discrete cosine transform, the discrete wavelet transform and the approximation of the zero line with spline functions. Additionally, computer methods for physiological indicators determination, including those based on wavelet decomposition, were also proposed and described in this paper. The efficiency of various rheogram compression algorithms was tested, evaluated and presented in this work. MDPI 2022-03-08 /pmc/articles/PMC8949724/ /pubmed/35336269 http://dx.doi.org/10.3390/s22062095 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khoma, Volodymyr Kenyo, Halyna Kawala-Sterniuk, Aleksandra Advanced Computing Methods for Impedance Plethysmography Data Processing |
title | Advanced Computing Methods for Impedance Plethysmography Data Processing |
title_full | Advanced Computing Methods for Impedance Plethysmography Data Processing |
title_fullStr | Advanced Computing Methods for Impedance Plethysmography Data Processing |
title_full_unstemmed | Advanced Computing Methods for Impedance Plethysmography Data Processing |
title_short | Advanced Computing Methods for Impedance Plethysmography Data Processing |
title_sort | advanced computing methods for impedance plethysmography data processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949724/ https://www.ncbi.nlm.nih.gov/pubmed/35336269 http://dx.doi.org/10.3390/s22062095 |
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