Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach

An approach based on dictionary-based Gaussian decomposition of electrocardiogram (ECG) traces is presented and characterized, and its performance potential is demonstrated using traces from the MIT-BIH Arrythmia Database. A Gaussian model is employed to describe ECG morphology. Parameters are estim...

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Main Authors: Alessandra Galli, Giada Giorgi, Claudio Narduzzi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Instrumentation and Measurement
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9851456/
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author Alessandra Galli
Giada Giorgi
Claudio Narduzzi
author_facet Alessandra Galli
Giada Giorgi
Claudio Narduzzi
author_sort Alessandra Galli
collection DOAJ
description An approach based on dictionary-based Gaussian decomposition of electrocardiogram (ECG) traces is presented and characterized, and its performance potential is demonstrated using traces from the MIT-BIH Arrythmia Database. A Gaussian model is employed to describe ECG morphology. Parameters are estimated using a dictionary-based approach, that is purposely designed to obtain accurate representations with limited complexity and ensure comparability among different traces and subjects. The standardized Gaussian dictionary allows compact representations, enhances comparability and provides the support for machine learning-based diagnostics of ECG traces. Data-oriented large-scale medical analyses of ECG data are made possible, allowing the investigation of elusive cardiac phenomena and personalized diagnostics.
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spelling doaj.art-cb7fbd0ee74740cb9bf2034ed59b68872024-04-22T20:23:40ZengIEEEIEEE Open Journal of Instrumentation and Measurement2768-72362022-01-0111910.1109/OJIM.2022.31967039851456Standardized Gaussian Dictionary for ECG Analysis a Metrological ApproachAlessandra Galli0https://orcid.org/0000-0003-2416-0220Giada Giorgi1https://orcid.org/0000-0001-9498-4722Claudio Narduzzi2https://orcid.org/0000-0002-9021-2693Department of Information Engineering, University of Padua, Padua, ItalyDepartment of Information Engineering, University of Padua, Padua, ItalyDepartment of Information Engineering, University of Padua, Padua, ItalyAn approach based on dictionary-based Gaussian decomposition of electrocardiogram (ECG) traces is presented and characterized, and its performance potential is demonstrated using traces from the MIT-BIH Arrythmia Database. A Gaussian model is employed to describe ECG morphology. Parameters are estimated using a dictionary-based approach, that is purposely designed to obtain accurate representations with limited complexity and ensure comparability among different traces and subjects. The standardized Gaussian dictionary allows compact representations, enhances comparability and provides the support for machine learning-based diagnostics of ECG traces. Data-oriented large-scale medical analyses of ECG data are made possible, allowing the investigation of elusive cardiac phenomena and personalized diagnostics.https://ieeexplore.ieee.org/document/9851456/Electrocardiogramfeature extractionGaussian dictionarystandardizationuncertainty
spellingShingle Alessandra Galli
Giada Giorgi
Claudio Narduzzi
Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
IEEE Open Journal of Instrumentation and Measurement
Electrocardiogram
feature extraction
Gaussian dictionary
standardization
uncertainty
title Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
title_full Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
title_fullStr Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
title_full_unstemmed Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
title_short Standardized Gaussian Dictionary for ECG Analysis a Metrological Approach
title_sort standardized gaussian dictionary for ecg analysis a metrological approach
topic Electrocardiogram
feature extraction
Gaussian dictionary
standardization
uncertainty
url https://ieeexplore.ieee.org/document/9851456/
work_keys_str_mv AT alessandragalli standardizedgaussiandictionaryforecganalysisametrologicalapproach
AT giadagiorgi standardizedgaussiandictionaryforecganalysisametrologicalapproach
AT claudionarduzzi standardizedgaussiandictionaryforecganalysisametrologicalapproach