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Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study

The increase in health care costs is not sustainable and has heightened the need for innovative low cost effective strategies for delivering patient care. Remote monitoring holds great promise for preventing or shortening duration of hospitalization even while improving quality of care. We therefore...

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Autores principales: Bruce, Charles J, Ladewig, Dorothy J, Somers, Virend K, Bennet, Kevin E, Burrichter, Scott, Scott, Christopher G, Olson, Lyle J, Friedman, Paul A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088361/
https://www.ncbi.nlm.nih.gov/pubmed/27847556
http://dx.doi.org/10.4330/wjc.v8.i10.559
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author Bruce, Charles J
Ladewig, Dorothy J
Somers, Virend K
Bennet, Kevin E
Burrichter, Scott
Scott, Christopher G
Olson, Lyle J
Friedman, Paul A
author_facet Bruce, Charles J
Ladewig, Dorothy J
Somers, Virend K
Bennet, Kevin E
Burrichter, Scott
Scott, Christopher G
Olson, Lyle J
Friedman, Paul A
author_sort Bruce, Charles J
collection PubMed
description The increase in health care costs is not sustainable and has heightened the need for innovative low cost effective strategies for delivering patient care. Remote monitoring holds great promise for preventing or shortening duration of hospitalization even while improving quality of care. We therefore conducted a proof of concept study to examine the quality of electrocardiograph (ECG) recordings obtained remotely and to test its potential utility in detecting harmful rhythms such as atrial fibrillation. We tested a novel adhesive strip ECG monitor and assessed the ECG quality in ambulatory individuals. 2630 ECG strips were analyzed and classified as: Sinus, atrial fibrillation (AF), indeterminate, or other. Four readers independently rated ECG quality: 0: Noise; 1: QRS complexes seen, but P-wave indeterminate; 2: QRS complexes seen, P-waves seen but poor quality; and 3: Clean QRS complexes and P-waves. The combined average rating was: Noise 12%; R-R, no P-wave 10%; R-R, no PR interval 18%; and R-R with PR interval 60% (if Sinus). If minimum diagnostic quality was a score of 1, 88% of strips were diagnostic. There was moderate to high agreement regarding quality (weighted Kappa statistic values; 0.58 to 0.76) and high level of agreement regarding ECG diagnosis (ICC = 0.93). A highly variable RR interval (HRV ≥ 7) predicted AF (AUC = 0.87). The monitor acquires and transmits diagnostic high quality ECG data and permits characterization of AF.
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spelling pubmed-50883612016-11-15 Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study Bruce, Charles J Ladewig, Dorothy J Somers, Virend K Bennet, Kevin E Burrichter, Scott Scott, Christopher G Olson, Lyle J Friedman, Paul A World J Cardiol Diagnostic Advances The increase in health care costs is not sustainable and has heightened the need for innovative low cost effective strategies for delivering patient care. Remote monitoring holds great promise for preventing or shortening duration of hospitalization even while improving quality of care. We therefore conducted a proof of concept study to examine the quality of electrocardiograph (ECG) recordings obtained remotely and to test its potential utility in detecting harmful rhythms such as atrial fibrillation. We tested a novel adhesive strip ECG monitor and assessed the ECG quality in ambulatory individuals. 2630 ECG strips were analyzed and classified as: Sinus, atrial fibrillation (AF), indeterminate, or other. Four readers independently rated ECG quality: 0: Noise; 1: QRS complexes seen, but P-wave indeterminate; 2: QRS complexes seen, P-waves seen but poor quality; and 3: Clean QRS complexes and P-waves. The combined average rating was: Noise 12%; R-R, no P-wave 10%; R-R, no PR interval 18%; and R-R with PR interval 60% (if Sinus). If minimum diagnostic quality was a score of 1, 88% of strips were diagnostic. There was moderate to high agreement regarding quality (weighted Kappa statistic values; 0.58 to 0.76) and high level of agreement regarding ECG diagnosis (ICC = 0.93). A highly variable RR interval (HRV ≥ 7) predicted AF (AUC = 0.87). The monitor acquires and transmits diagnostic high quality ECG data and permits characterization of AF. Baishideng Publishing Group Inc 2016-10-26 2016-10-26 /pmc/articles/PMC5088361/ /pubmed/27847556 http://dx.doi.org/10.4330/wjc.v8.i10.559 Text en ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Diagnostic Advances
Bruce, Charles J
Ladewig, Dorothy J
Somers, Virend K
Bennet, Kevin E
Burrichter, Scott
Scott, Christopher G
Olson, Lyle J
Friedman, Paul A
Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title_full Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title_fullStr Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title_full_unstemmed Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title_short Remote electrocardiograph monitoring using a novel adhesive strip sensor: A pilot study
title_sort remote electrocardiograph monitoring using a novel adhesive strip sensor: a pilot study
topic Diagnostic Advances
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088361/
https://www.ncbi.nlm.nih.gov/pubmed/27847556
http://dx.doi.org/10.4330/wjc.v8.i10.559
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