Evidence map›Paper›PMID 30607622›Full record

ArticleClinical oral investigations2019

Smartphone-assisted monitoring of masticatory muscle activity in freely moving individuals.

Sabarinath Prasad, Michael Paulin, Richard D Cannon, Sandro Palla, Mauro Farella

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
5.4field-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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Wearable Wireless Body Area Networks for Medical Applications.Computational and mathematical methods in medicine · 2021
    Pooled it
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  7. Smile analysis in dentistry and orthodontics - a review.Journal of the Royal Society of New Zealand · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Ecological Momentary Assessment of Masseter Muscle Activity in Patients with Bruxism.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

5 authors at 2 institutions in 2 countries.

Sabarinath PrasadSir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.
Michael PaulinDepartment of Zoology, University of Otago, Dunedin, New Zealand.
Richard D CannonSir John Walsh Research Institute, University of Otago, Dunedin, New Zealand.
Sandro PallaUniversity of Zürich, Zürich, Switzerland.
Mauro FarellaSir John Walsh Research Institute, University of Otago, Dunedin, New Zealand. mauro.farella@otago.ac.nz.
University of Otago · NZUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo test a smartphone-assisted wireless device for assessing electromyographic (EMG) activity of the masseter muscle in freely moving individuals undertaking routine activities. MATERIALS AND

methodsEMG activity was detected unilaterally from the masseter muscle in 12 volunteers using surface electrodes connected to both a smartphone-assisted wireless EMG device and a fixed-wired EMG equipment (reference standard). After performing a series of standardized tasks in the laboratory, participants wore the wireless device for 8 h while performing their normal routine.

resultsThe wireless device reliably detected masseter muscle contraction episodes under both laboratory and natural environment conditions. The intraclass correlation coefficients for the muscle contraction episode amplitude and duration detected by the wireless and the wired equipment ranged from 0.94-1.00 to 0.82-1.00, respectively. Most masseter contraction episodes during normal routine were of low amplitude (< 10% MVC) and short duration (< 10 s), with no significant differences between sexes or facial side.

conclusionsWithin the limitations of the study, smartphone-assisted monitoring of the jaw muscles represents a promising tool to investigate oral behavior patterns in free moving individuals. CLINICAL RELEVANCE: Smartphone-assisted monitoring of masticatory muscle activity may enable possible associations between excessive muscle activity, bruxism, dysfunction, and pain to be investigated, and managed via biofeedback.

Indexed as

BruxismElectromyographyMasticatory MusclesSmartphoneHealthy VolunteersHumansMasseter MuscleMuscle ContractionBruxismElectromyographyMasticatory musclesSmartphoneTooth clenchingWearable electronic deviceWireless body area network

Identifiers

PMID30607622
OpenAlexW2907828755

What OpenQuestion holds

Textmetadata
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.