Evidence map›Paper›PMID 37447881›Full record

ArticleSensors (Basel, Switzerland)2023

Assessing Quadriceps Muscle Contraction Using a Novel Surface Mechanomyography Sensor during Two Neuromuscular Control Screening Tasks.

Shannon E Linderman, Donna Moxley Scarborough, Ryan Aspenleiter, Hannah S Stein, Eric M Berkson

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Shannon E LindermanDepartment of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA.
Donna Moxley ScarboroughDepartment of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-2458-5168
Ryan AspenleiterFIGUR8, Inc., Boston, MA 02116, USA.
Hannah S SteinDepartment of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA.
Eric M BerksonDepartment of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromyography (EMG) is the clinical standard for capturing muscle activation data to gain insight into neuromuscular control, yet challenges surrounding data analysis limit its use during dynamic tasks. Surface mechanomyography (sMMG) sensors are novel wearable devices that measure the physical output of muscle excursion during contraction, which may offer potential easy application to assess neuromuscular control. This study aimed to investigate sMMG detection of the timing patterns of muscle contraction compared to EMG. Fifteen healthy participants (mean age = 31.7 ± 9.1 y; eight males and seven females) were donned with EMG and sMMG sensors on their right quadriceps for simultaneous data capture during bilateral deep squats, and a subset performed three sets of repeated unilateral partial squats. No significant difference in the total duration of contraction was detected by EMG and sMMG during bilateral (

Indexed as

Muscle, SkeletalQuadriceps MuscleAdultElectromyographyFemaleHumansMaleMuscle ContractionReproducibility of ResultsYoung Adultmuscle excursionsurface electromyographysurface mechanomyography

Identifiers

PMID37447881
PMCPMC10346542

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Registered trials

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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.