Literature DB >> 31401341

Processing transcutaneous electromyography measurements of respiratory muscles, a review of analysis techniques.

R W van Leuteren1, G J Hutten2, C G de Waal3, P Dixon4, A H van Kaam2, F H de Jongh5.   

Abstract

Transcutaneous electromyography (tc-EMG) has been used to measure the electrical activity of respiratory muscles during inspiration in various studies. Processing the raw tc-EMG signal of these inspiratory muscles has shown to be difficult as baseline noise, cardiac interference, cross-talk and motion artefacts can influence the signal quality. In this review we will discuss the most important sources of signal noise in tc-EMG of respiratory muscles and the various techniques described to suppress or reduce this signal noise. Furthermore, we will elaborate on the options available to develop or improve an algorithm that can be used to guide the approach for analysis of tc-EMG signals of inspiratory muscles in future research.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac interference; Entropy; Independent component analysis; Respiratory muscles; Spectral analysis

Mesh:

Year:  2019        PMID: 31401341     DOI: 10.1016/j.jelekin.2019.07.014

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  4 in total

1.  Multicentre paired non-inferiority study of the cardiorespiratory monitoring performance of the wireless and non-adhesive Bambi® belt measuring diaphragm activity in neonates: study protocol.

Authors:  Anouk W J Scholten; Zhuozhao Zhan; Hendrik J Niemarkt; Marieke Vervoorn; Ruud W van Leuteren; Frans H de Jongh; Anton H van Kaam; Edwin R van den Heuvel; G Jeroen Hutten
Journal:  BMJ Paediatr Open       Date:  2022-06

2.  Diaphragmatic electromyography in preterm infants: The influence of electrode positioning.

Authors:  Ruud W van Leuteren; Robin E Bekhuis; Cornelia G de Waal; Frans H de Jongh; Anton H van Kaam; Gerard J Hutten
Journal:  Pediatr Pulmonol       Date:  2019-11-25

3.  Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes.

Authors:  Jan Graßhoff; Eike Petersen; Franziska Farquharson; Max Kustermann; Hans-Joachim Kabitz; Philipp Rostalski; Stephan Walterspacher
Journal:  Crit Care       Date:  2021-12-20       Impact factor: 9.097

4.  Accessory and Expiratory Muscles Activation During Spontaneous Breathing Trial: A Physiological Study by Surface Electromyography.

Authors:  Matteo Pozzi; Emanuele Rezoagli; Alfio Bronco; Francesca Rabboni; Giacomo Grasselli; Giuseppe Foti; Giacomo Bellani
Journal:  Front Med (Lausanne)       Date:  2022-03-10
  4 in total

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