Evidence map›Paper›PMID 39164429›Full record

ArticleScientific reports2024

Wireless high-resolution surface facial electromyography mask for discrimination of standardized facial expressions in healthy adults.

Paul F Funk, Bara Levit, Chen Bar-Haim, Dvir Ben-Dov, Gerd Fabian Volk, Roland Grassme, Christoph Anders, Orlando Guntinas-Lichius, Yael Hanein

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Facial mimicry predicts preference.Communications psychology · 2025
    Article
  2. Article
  3. Article
  4. Article
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

9 authors.

Paul F FunkDepartment of Otorhinolaryngology, Jena University Hospital, Friedrich-Schiller-University Jena, Am Klinikum 1, 07747, Jena, Germany.
Bara LevitSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.
Chen Bar-HaimSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.
Dvir Ben-DovSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.
Gerd Fabian VolkDepartment of Otorhinolaryngology, Jena University Hospital, Friedrich-Schiller-University Jena, Am Klinikum 1, 07747, Jena, Germany.
Roland GrassmeDivision Motor Research, Pathophysiology and Biomechanics, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
Christoph AndersDivision Motor Research, Pathophysiology and Biomechanics, Department of Trauma, Hand and Reconstructive Surgery, Jena University Hospital, Friedrich-Schiller-University Jena, Jena, Germany.
Orlando Guntinas-LichiusDepartment of Otorhinolaryngology, Jena University Hospital, Friedrich-Schiller-University Jena, Am Klinikum 1, 07747, Jena, Germany. orlando.guntinas@med.uni-jena.de.ORCID 0000-0001-9671-0784
Yael HaneinSchool of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel.

Funding

Deutsche Forschungsgemeinschaft GU-463/12-1European Research Council grant Outer-Ret-101053186Israel Science Foundation Grant No. 538/22
6 · The paper itself

Abstract

Wired high resolution surface electromyography (sEMG) using gelled electrodes is a standard method for psycho-physiological, neurological and medical research. Despite its widespread use electrode placement is elaborative, time-consuming, and the overall experimental setting is prone to mechanical artifacts and thus offers little flexibility. Wireless and easy-to-apply technologies would facilitate more accessible examination in a realistic setting. To address this, a novel smart skin technology consisting of wireless dry 16-electrodes was tested. The soft electrode arrays were attached to the right hemiface of 37 healthy adult participants (60% female; 20 to 57 years). The participants performed three runs of a standard set of different facial expression exercises. Linear mixed-effects models utilizing the sEMG amplitudes as outcome measure were used to evaluate differences between the facial movement tasks and runs (separately for every task). The smart electrodes showed specific activation patterns for each of the exercises. 82% of the exercises could be differentiated from each other with very high precision when using the average muscle action of all electrodes. The effects were consistent during the 3 runs. Thus, it appears that wireless high-resolution sEMG analysis with smart skin technology successfully discriminates standard facial expressions in research and clinical settings.

Indexed as

ElectrodesElectromyographyFacial ExpressionFacial MusclesAdultFemaleHealthy VolunteersHumansMaleMiddle AgedWireless TechnologyYoung Adult

Identifiers

PMID39164429
PMCPMC11336214

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.