Cargando…

Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study

Electrical impedance tomography (EIT) can monitor the real-time hemodynamic state of a conscious and spontaneously breathing patient noninvasively. However, cardiac volume signal (CVS) extracted from EIT images has a small amplitude and is sensitive to motion artifacts (MAs). This study aimed to dev...

Descripción completa

Detalles Bibliográficos
Autores principales: Dang, Thi Hang, Jang, Geuk Young, Lee, Kyounghun, Oh, Tong In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256054/
https://www.ncbi.nlm.nih.gov/pubmed/37300035
http://dx.doi.org/10.3390/s23115308
_version_ 1785057021296377856
author Dang, Thi Hang
Jang, Geuk Young
Lee, Kyounghun
Oh, Tong In
author_facet Dang, Thi Hang
Jang, Geuk Young
Lee, Kyounghun
Oh, Tong In
author_sort Dang, Thi Hang
collection PubMed
description Electrical impedance tomography (EIT) can monitor the real-time hemodynamic state of a conscious and spontaneously breathing patient noninvasively. However, cardiac volume signal (CVS) extracted from EIT images has a small amplitude and is sensitive to motion artifacts (MAs). This study aimed to develop a new algorithm to reduce MAs from the CVS for more accurate heart rate (HR) and cardiac output (CO) monitoring in patients undergoing hemodialysis based on the source consistency between the electrocardiogram (ECG) and the CVS of heartbeats. Two signals were measured at different locations on the body through independent instruments and electrodes, but the frequency and phase were matched when no MAs occurred. A total of 36 measurements with 113 one-hour sub-datasets were collected from 14 patients. As the number of motions per hour (MI) increased over 30, the proposed algorithm had a correlation of 0.83 and a precision of 1.65 beats per minute (BPM) compared to the conventional statical algorithm of a correlation of 0.56 and a precision of 4.04 BPM. For CO monitoring, the precision and upper limit of the mean ∆CO were 3.41 and 2.82 L per minute (LPM), respectively, compared to 4.05 and 3.82 LPM for the statistical algorithm. The developed algorithm could reduce MAs and improve HR/CO monitoring accuracy and reliability by at least two times, particularly in high-motion environments.
format Online
Article
Text
id pubmed-10256054
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102560542023-06-10 Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study Dang, Thi Hang Jang, Geuk Young Lee, Kyounghun Oh, Tong In Sensors (Basel) Article Electrical impedance tomography (EIT) can monitor the real-time hemodynamic state of a conscious and spontaneously breathing patient noninvasively. However, cardiac volume signal (CVS) extracted from EIT images has a small amplitude and is sensitive to motion artifacts (MAs). This study aimed to develop a new algorithm to reduce MAs from the CVS for more accurate heart rate (HR) and cardiac output (CO) monitoring in patients undergoing hemodialysis based on the source consistency between the electrocardiogram (ECG) and the CVS of heartbeats. Two signals were measured at different locations on the body through independent instruments and electrodes, but the frequency and phase were matched when no MAs occurred. A total of 36 measurements with 113 one-hour sub-datasets were collected from 14 patients. As the number of motions per hour (MI) increased over 30, the proposed algorithm had a correlation of 0.83 and a precision of 1.65 beats per minute (BPM) compared to the conventional statical algorithm of a correlation of 0.56 and a precision of 4.04 BPM. For CO monitoring, the precision and upper limit of the mean ∆CO were 3.41 and 2.82 L per minute (LPM), respectively, compared to 4.05 and 3.82 LPM for the statistical algorithm. The developed algorithm could reduce MAs and improve HR/CO monitoring accuracy and reliability by at least two times, particularly in high-motion environments. MDPI 2023-06-03 /pmc/articles/PMC10256054/ /pubmed/37300035 http://dx.doi.org/10.3390/s23115308 Text en © 2023 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
Dang, Thi Hang
Jang, Geuk Young
Lee, Kyounghun
Oh, Tong In
Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title_full Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title_fullStr Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title_full_unstemmed Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title_short Motion Artifacts Reduction for Noninvasive Hemodynamic Monitoring of Conscious Patients Using Electrical Impedance Tomography: A Preliminary Study
title_sort motion artifacts reduction for noninvasive hemodynamic monitoring of conscious patients using electrical impedance tomography: a preliminary study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256054/
https://www.ncbi.nlm.nih.gov/pubmed/37300035
http://dx.doi.org/10.3390/s23115308
work_keys_str_mv AT dangthihang motionartifactsreductionfornoninvasivehemodynamicmonitoringofconsciouspatientsusingelectricalimpedancetomographyapreliminarystudy
AT janggeukyoung motionartifactsreductionfornoninvasivehemodynamicmonitoringofconsciouspatientsusingelectricalimpedancetomographyapreliminarystudy
AT leekyounghun motionartifactsreductionfornoninvasivehemodynamicmonitoringofconsciouspatientsusingelectricalimpedancetomographyapreliminarystudy
AT ohtongin motionartifactsreductionfornoninvasivehemodynamicmonitoringofconsciouspatientsusingelectricalimpedancetomographyapreliminarystudy