A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG

In this paper we present a method of assessing the reliability of heart rates (HRs) obtained from ambulatory ECGs. Our method assigns a Reliability Index (RI) to ECG segments based on a set of physiologically relevant rules prior to using a template matching approach. We validated the algorithm on 1...

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Main Authors: Orphanidou, C, Bonnici, T, Vallance, D, Darrell, A, Charlton, P, Tarassenko, L
Format: Journal article
Language:English
Published: 2012
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author Orphanidou, C
Bonnici, T
Vallance, D
Darrell, A
Charlton, P
Tarassenko, L
author_facet Orphanidou, C
Bonnici, T
Vallance, D
Darrell, A
Charlton, P
Tarassenko, L
author_sort Orphanidou, C
collection OXFORD
description In this paper we present a method of assessing the reliability of heart rates (HRs) obtained from ambulatory ECGs. Our method assigns a Reliability Index (RI) to ECG segments based on a set of physiologically relevant rules prior to using a template matching approach. We validated the algorithm on 1500 manually annotated samples of ECG taken from two different studies and using three different sensors at different sampling rates. The sensitivity of our method was 98% and the specificity was 94%. Our method matched or was more conservative than the human annotations in 99.4% of the samples, making it a promising tool for inclusion in next-generation wearable sensors. © 2012 IEEE.
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spelling oxford-uuid:20e606ff-385e-49c0-a79b-7e492788aeac2022-03-26T11:30:06ZA Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECGJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:20e606ff-385e-49c0-a79b-7e492788aeacEnglishSymplectic Elements at Oxford2012Orphanidou, CBonnici, TVallance, DDarrell, ACharlton, PTarassenko, LIn this paper we present a method of assessing the reliability of heart rates (HRs) obtained from ambulatory ECGs. Our method assigns a Reliability Index (RI) to ECG segments based on a set of physiologically relevant rules prior to using a template matching approach. We validated the algorithm on 1500 manually annotated samples of ECG taken from two different studies and using three different sensors at different sampling rates. The sensitivity of our method was 98% and the specificity was 94%. Our method matched or was more conservative than the human annotations in 99.4% of the samples, making it a promising tool for inclusion in next-generation wearable sensors. © 2012 IEEE.
spellingShingle Orphanidou, C
Bonnici, T
Vallance, D
Darrell, A
Charlton, P
Tarassenko, L
A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title_full A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title_fullStr A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title_full_unstemmed A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title_short A Method for Assessing the Reliability of Heart Rates obtained from Ambulatory ECG
title_sort method for assessing the reliability of heart rates obtained from ambulatory ecg
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