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

Leuteren, Ruud W. van; Hutten, Gerard J.; Waal, Cornelia G. de; Dixon, Paul; Kaam, Anton H. van; Jongh, Frans de

doi:10.1016/j.jelekin.2019.07.014

Cited by 26 publications

(30 citation statements)

References 82 publications

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“…In preterm infants, the signal to (overall) noise ratio may become especially unfavorable as the differences in WOB between breaths are relatively small and occur over a short period of time. At the same time, diaphragm activity was low in our study and as a result the impact of noise caused by interelectrode or muscle–electrode distance and skin–electrode contact will increase 18,23 …”

Section: Discussionmentioning

confidence: 60%

“…At the same time, diaphragm activity was low in our study and as a result the impact of noise caused by interelectrode or muscle-electrode distance and skin-electrode contact will increase. 18,23 Second, although some pediatric and adult studies have reported that the activity of the diaphragm (measured in the esophagus) is linearly related to factors like P es and airway pressure, 11,13 a recent study in adults showed that the repeatability of determining the neuromuscular efficiency (µV/cmH 2 O) of the diaphragm by repetitive occlusion tests was low. 24 In other words, the pressure changes following the diaphragm's contraction, are variable within and between subjects.…”

Section: Discussionmentioning

confidence: 99%

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Transcutaneous monitoring of diaphragm activity as a measure of work of breathing in preterm infants

Leuteren

Waal

Hutten

et al. 2021

Pediatric Pulmonology

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Objective: Monitoring work of breathing (WOB) is important to assess the pulmonary condition and adjust respiratory support in preterm infants. Conventional WOB measurement (esophageal pressure, tidal volume) is invasive and we hypothesized that monitoring diaphragm activity could be a noninvasive alternative to estimate WOB. The objective was to determine the correlation between conventional WOB measures and diaphragm activity, in preterm infants.Methods: WOB and diaphragm activity, measured with transcutaneous electromyography (dEMG), were simultaneously recorded at different nasal continuous positive airway pressure (nCPAP) levels. During a 30-s recording at each nCPAP level, dEMG parameters, inspiratory WOB (WOB i ), and pressure time product (PTP in ) were calculated per breath. The correlation coefficient between WOB-and dEMG-measures was calculated using single breaths and after aggregating all breaths into deciles of incremental WOB i .Results: Fifteen preterm infants were included (median gestational age, 28 weeks).Single-breath analysis showed a poor median correlation of 0.27 (interquartile range [IQR], 0.03 to 0.33) and 0.08 (IQR, −0.03 to 0.28), respectively, for WOB i and PTP in with peak diaphragmatic activity (dEMG peak ). A modest median correlation coefficient of 0.65 (IQR, 0.13 to 0.79) and 0.43 (IQR, −0.33 to 0.69) was found for, respectively, WOB i and PTP in with dEMG peak in the aggregated analysis. Conclusion:Diaphragm activity showed a modest correlation with WOB i and PTP in in an aggregated analysis. This finding warrants further studies in infants with more significant lung disease.

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Section: Discussionmentioning

confidence: 60%

Section: Discussionmentioning

confidence: 99%

Transcutaneous monitoring of diaphragm activity as a measure of work of breathing in preterm infants

Leuteren

Waal

Hutten

et al. 2021

Pediatric Pulmonology

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“…They transmit electrical signals that cause muscles to contract and relax. An EMG translates these signals into graphs or numbers, helping doctors to make a diagnosis [14].…”

Section: Introductionmentioning

confidence: 99%

Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

et al. 2021

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This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured EMG signal should be cleaned of different factors like power network interference and ECG heartbeat. Unfortunately, there are no completed studies showing full multistage signal processing of EMG recordings. In this article, the authors propose an original algorithm to perform muscle activity measurements based on raw measurements. The effectiveness of the proposed algorithm for EMG signal measurement was validated by a portable EMG system developed as a part of the EU research project and EMG raw measurement sets. Examples of removing the parasitic interferences are presented for each stage of signal processing. Finally, it is shown that the proposed processing of EMG signals enables cleaning of the EMG signal with minimal loss of the diagnostic content.

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“…The influence of ECG on respiratory sEMG signals may vary depending on the type of electrodes and configuration, as well as the recording site, altering the shape and intensity of both signals [2], [3]. Reduction of cardiac interference in respiratory sEMG by applying processing techniques is an important step for its further analysis as outlined in [4]. This issue is relevant for indirectly quantify the neural respiratory drive (NRD) in healthy and chronic obstructive pulmonary disease (COPD) patient populations using electromyographic techniques.…”

Section: Introductionmentioning

confidence: 99%

Neural Respiratory Drive Estimation in Respiratory sEMG with Cardiac Arrhythmias

Estrada-Petrocelli

Jané

Torres

2020

2020 42nd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

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Neural respiratory drive as measured by the electromyography allows the study of the imbalance between the load on respiratory muscles and its capacity. Surface respiratory electromyography (sEMG) is a non-invasive tool used for indirectly assessment of NRD. It also provides a way to evaluate the level and pattern of respiratory muscle activation. The prevalence of electrocardiographic activity (ECG) in respiratory sEMG signals hinders its proper evaluation. Moreover, the occurrence of abnormal heartbeats or cardiac arrhythmias in respiratory sEMG measures can make even more challenging the NRD estimation. Respiratory sEMG can be evaluated using the fixed sample entropy (fSampEn), a technique which is less affected by cardiac artefacts. The aim of this work was to investigate the performance of the fSampEn, the root mean square (RMS) and the average rectified value (ARV) on respiratory sEMG signals with supraventricular arrhythmias (SVA) for NRD estimation. fSampEn, ARV and RMS parameters increased as the inspiratory load increased during the test. fSampEn was less influenced by ECG with SVAs for the NRD estimation showing a greater response to respiratory sEMG, reflected with a higher percentage increase with increasing load (228 % total increase, compared to 142 % and 135 % for ARV and RMS, respectively). Clinical Relevance-Improvement of the NRD estimation in patients with cardiac arrhythmias contributes to a better assessment of respiratory muscle activity in patients with chronic respiratory diseases and cardiovascular comorbidities.

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

Cited by 26 publications

References 82 publications

Transcutaneous monitoring of diaphragm activity as a measure of work of breathing in preterm infants

Transcutaneous monitoring of diaphragm activity as a measure of work of breathing in preterm infants

Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

Neural Respiratory Drive Estimation in Respiratory sEMG with Cardiac Arrhythmias

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