Literature DB >> 25200192

Effects of electrocardiography contamination and comparison of ECG removal methods on upper trapezius electromyography recordings.

Ryan J Marker1, Katrina S Maluf2.   

Abstract

Electromyography (EMG) recordings from the trapezius are often contaminated by the electrocardiography (ECG) signal, making it difficult to distinguish low-level muscle activity from muscular rest. This study investigates the influence of ECG contamination on EMG amplitude and frequency estimations in the upper trapezius during muscular rest and low-level contractions. A new method of ECG contamination removal, filtered template subtraction (FTS), is described and compared to 30 Hz high-pass filter (HPF) and averaged template subtraction (ATS) methods. FTS creates a unique template of each ECG artifact using a low-pass filtered copy of the contaminated signal, which is subtracted from contaminated periods in the original signal. ECG contamination results in an over-estimation of EMG amplitude during rest in the upper trapezius, with negligible effects on amplitude and frequency estimations during low-intensity isometric contractions. FTS and HPF successfully removed ECG contamination from periods of muscular rest, yet introduced errors during muscle contraction. Conversely, ATS failed to fully remove ECG contamination during muscular rest, yet did not introduce errors during muscle contraction. The relative advantages and disadvantages of different ECG contamination removal methods should be considered in the context of the specific motor tasks that require analysis.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Artifact removal; Decontamination; Gating; Subtraction template

Mesh:

Year:  2014        PMID: 25200192      PMCID: PMC9321361          DOI: 10.1016/j.jelekin.2014.08.003

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.641


  13 in total

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2.  Spectral profile of superficial cervical muscles.

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Authors:  Janessa D M Drake; Jack P Callaghan
Journal:  J Electromyogr Kinesiol       Date:  2005-08-31       Impact factor: 2.368

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Authors:  Kaj Bo Veiersted; Mikael Forsman; Gert-Åke Hansson; Svend Erik Mathiassen
Journal:  J Electromyogr Kinesiol       Date:  2013-01-31       Impact factor: 2.368

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