Evidence map›Paper›PMID 33772835›Full record

ArticleJournal of oral rehabilitation2021

Signal acquisition and analysis of ambulatory electromyographic recordings for the assessment of sleep bruxism: A scoping review.

Magdalini Thymi, Frank Lobbezoo, Ghizlane Aarab, Jari Ahlberg, Kazuyoshi Baba, Maria Clotilde Carra, Luigi M Gallo, Antoon De Laat, Daniele Manfredini, Gilles Lavigne and 1 more

Abstract readScoping Review
In one paragraph

Article in Journal of oral rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

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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

11 authors.

Magdalini ThymiDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-8544-6495
Frank LobbezooDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9877-7640
Ghizlane AarabDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam, University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-6677-7897
Jari AhlbergDepartment of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.ORCID https://orcid.org/0000-0002-6052-0441
Kazuyoshi BabaDepartment of Prosthodontics, Showa University School of Dentistry, Ohta-ku, Japan.ORCID https://orcid.org/0000-0001-8025-2168
Maria Clotilde CarraUFR of Odontology Garanciere, Université de Paris and Service of Odontology, Rothschild Hospital (AP-HP), Paris, France.
Luigi M GalloClinic of Masticatory Disorders, Center of Dental Medicine, University of Zurich, Zurich, Switzerland.
Antoon De LaatDepartment of Oral Health Sciences, Leuven, Belgium.ORCID https://orcid.org/0000-0003-3558-1418
Daniele ManfrediniDepartment of Biomedical Technologies, School of Dentistry, University of Siena, Siena, Italy.ORCID https://orcid.org/0000-0002-4352-3085
Gilles LavigneFaculty of Dental Medicine, Université de Montréal, Montreal, QC, Canada.
Peter SvenssonSection of Orofacial Pain and Jaw Function, Department of Dentistry and Oral Health, Aarhus Universitet Tandlageskolen, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbulatory electromyographic (EMG) devices are increasingly being used in sleep bruxism studies. EMG signal acquisition, analysis and scoring methods vary between studies. This may impact comparability of studies and the assessment of sleep bruxism in patients.

objectives(a) To provide an overview of EMG signal acquisition and analysis methods of recordings from limited-channel ambulatory EMG devices for the assessment of sleep bruxism; and (b) to provide an overview of outcome measures used in sleep bruxism literature utilising such devices.

methodA scoping review of the literature was performed. Online databases PubMed and Semantics Scholar were searched for studies published in English until 7 October 2020. Data on five categories were extracted: recording hardware, recording logistics, signal acquisition, signal analysis and sleep bruxism outcomes.

resultsSeventy-eight studies were included, published between 1977 and 2020. Recording hardware was generally well described. Reports of participant instructions in device handling and of dealing with failed recordings were often lacking. Basic elements of signal acquisition, for example amplifications factors, impedance and bandpass settings, and signal analysis, for example rectification, signal processing and additional filtering, were underreported. Extensive variability was found for thresholds used to characterise sleep bruxism events. Sleep bruxism outcomes varied, but typically represented frequency, duration and/or intensity of masticatory muscle activity (MMA).

conclusionAdequate and standardised reporting of recording procedures is highly recommended. In future studies utilising ambulatory EMG devices, the focus may need to shift from the concept of scoring sleep bruxism events to that of scoring the whole spectrum of MMA.

Indexed as

BruxismSleep BruxismElectromyographyHumansMasseter MuscleMasticatory MusclesPolysomnographyambulatory electromyographic devicelimited channel devicemasticatory muscle activitysleep bruxismsurface electromyography

Identifiers

PMID33772835
PMCPMC9292505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.