Evidence map›Paper›PMID 34930396›Full record

Observational studyCritical care (London, England)2021

Surface EMG-based quantification of inspiratory effort: a quantitative comparison with P

Jan Graßhoff, Eike Petersen, Franziska Farquharson, Max Kustermann, Hans-Joachim Kabitz, Philipp Rostalski, Stephan Walterspacher

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  11. Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Jan GraßhoffInstitute for Electrical Engineering in Medicine, Universität zu Lübeck, Moislinger Allee 53-55, 23558, Lübeck, Germany. j.grasshoff@uni-luebeck.de.ORCID 0000-0002-6528-0950
Eike PetersenInstitute for Electrical Engineering in Medicine, Universität zu Lübeck, Moislinger Allee 53-55, 23558, Lübeck, Germany.
Franziska FarquharsonMedical Clinic II, Klinikum Konstanz, Mainaustraße 35, 78464, Konstanz, Germany.
Max KustermannMedical Clinic II, Klinikum Konstanz, Mainaustraße 35, 78464, Konstanz, Germany.
Hans-Joachim KabitzMedical Clinic II, Klinikum Konstanz, Mainaustraße 35, 78464, Konstanz, Germany.
Philipp RostalskiInstitute for Electrical Engineering in Medicine, Universität zu Lübeck, Moislinger Allee 53-55, 23558, Lübeck, Germany.
Stephan WalterspacherMedical Clinic II, Klinikum Konstanz, Mainaustraße 35, 78464, Konstanz, Germany.
Klinikum Konstanz · DEFraunhofer Research Institution for Individualized and Cell-Based Medical Engineering · DEUniversity of Lübeck · DEWitten/Herdecke University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInspiratory patient effort under assisted mechanical ventilation is an important quantity for assessing patient-ventilator interaction and recognizing over and under assistance. An established clinical standard is respiratory muscle pressure [Formula: see text], derived from esophageal pressure ([Formula: see text]), which requires the correct placement and calibration of an esophageal balloon catheter. Surface electromyography (sEMG) of the respiratory muscles represents a promising and straightforward alternative technique, enabling non-invasive monitoring of patient activity.

methodsA prospective observational study was conducted with patients under assisted mechanical ventilation, who were scheduled for elective bronchoscopy. Airway flow and pressure, esophageal/gastric pressures and sEMG of the diaphragm and intercostal muscles were recorded at four levels of pressure support ventilation. Patient efforts were quantified via the [Formula: see text]-time product ([Formula: see text]), the transdiaphragmatic pressure-time product ([Formula: see text]) and the EMG-time products (ETP) of the two sEMG channels. To improve the signal-to-noise ratio, a method for automatically selecting the more informative of the sEMG channels was investigated. Correlation between ETP and [Formula: see text] was assessed by determining a neuromechanical conversion factor [Formula: see text] between the two quantities. Moreover, it was investigated whether this scalar can be reliably determined from airway pressure during occlusion maneuvers, thus allowing to quantify inspiratory effort based solely on sEMG measurements.

resultsIn total, 62 patients with heterogeneous pulmonary diseases were enrolled in the study, 43 of which were included in the data analysis. The ETP of the two sEMG channels was well correlated with [Formula: see text] ([Formula: see text] and [Formula: see text] for diaphragm and intercostal recordings, respectively). The proposed automatic channel selection method improved correlation with [Formula: see text] ([Formula: see text]). The neuromechanical conversion factor obtained by fitting ETP to [Formula: see text] varied widely between patients ([Formula: see text]) and was highly correlated with the scalar determined during occlusions ([Formula: see text], [Formula: see text]). The occlusion-based method for deriving [Formula: see text] from ETP showed a breath-wise deviation to [Formula: see text] of [Formula: see text] across all datasets.

conclusionThese results support the use of surface electromyography as a non-invasive alternative for monitoring breath-by-breath inspiratory effort of patients under assisted mechanical ventilation.

Indexed as

DiaphragmRespiration, ArtificialElectromyographyHumansPositive-Pressure RespirationVentilators, MechanicalAssisted mechanical ventilationEsophageal pressureInspiratory effortMonitoringSurface electromyography

Identifiers

PMID34930396
PMCPMC8686581
OpenAlexW4200211878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.