Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction

This work investigates the performance of eventsynchronous noise cancelling algorithms to separate ECG artifacts from thoracic EMG recordings. In focus are the precise detection of heart beats, the exact time alignment of the QRS segments and the construction of a template QRS signal. Among the util...

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Main Authors: Kahl Lorenz, Hofmann Ulrich G.
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2019-0090
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author Kahl Lorenz
Hofmann Ulrich G.
author_facet Kahl Lorenz
Hofmann Ulrich G.
author_sort Kahl Lorenz
collection DOAJ
description This work investigates the performance of eventsynchronous noise cancelling algorithms to separate ECG artifacts from thoracic EMG recordings. In focus are the precise detection of heart beats, the exact time alignment of the QRS segments and the construction of a template QRS signal. Among the utilized methods is a modified structural intensity (SI) approach based on the observation of extrema in low pass filtered versions of the second derivative as a detector. An adoption of this approach is also used to obtain the exact time alignment of QRS segments. Artificial test signals are constructed based on addition of ECG and sEMG with different magnitudes. We show that approaches based on the observation of extrema in different scales yield superior results.
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spelling doaj.art-d9a63ca157d444249463c181c2724bff2022-12-22T03:28:06ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042019-09-015135735910.1515/cdbme-2019-0090cdbme-2019-0090Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtractionKahl Lorenz0Hofmann Ulrich G.1Drägerwerk AG & Co. KGaA, Moislinger Allee 53-55,Lübeck, GermanySection for Neuroelectronic Systems, Faculty of Medicine, University of Freiburg, Engesserstraße 4,Freiburg, GermanyThis work investigates the performance of eventsynchronous noise cancelling algorithms to separate ECG artifacts from thoracic EMG recordings. In focus are the precise detection of heart beats, the exact time alignment of the QRS segments and the construction of a template QRS signal. Among the utilized methods is a modified structural intensity (SI) approach based on the observation of extrema in low pass filtered versions of the second derivative as a detector. An adoption of this approach is also used to obtain the exact time alignment of QRS segments. Artificial test signals are constructed based on addition of ECG and sEMG with different magnitudes. We show that approaches based on the observation of extrema in different scales yield superior results.https://doi.org/10.1515/cdbme-2019-0090ecgsemgtemplate subtractioneventsynchronous interference cancellingstructural intensity
spellingShingle Kahl Lorenz
Hofmann Ulrich G.
Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
Current Directions in Biomedical Engineering
ecg
semg
template subtraction
eventsynchronous interference cancelling
structural intensity
title Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
title_full Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
title_fullStr Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
title_full_unstemmed Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
title_short Removal of ECG artifacts from EMG signals with different artifact magnitudes by template subtraction
title_sort removal of ecg artifacts from emg signals with different artifact magnitudes by template subtraction
topic ecg
semg
template subtraction
eventsynchronous interference cancelling
structural intensity
url https://doi.org/10.1515/cdbme-2019-0090
work_keys_str_mv AT kahllorenz removalofecgartifactsfromemgsignalswithdifferentartifactmagnitudesbytemplatesubtraction
AT hofmannulrichg removalofecgartifactsfromemgsignalswithdifferentartifactmagnitudesbytemplatesubtraction