Evidence map›Paper›PMID 39517829›Full record

ArticleSensors (Basel, Switzerland)2024

Motion Tape Strain During Trunk Muscle Engagement in Young, Healthy Participants.

Spencer Spiegel, Elijah Wyckoff, Jay Barolo, Audrey Lee, Emilia Farcas, Job Godino, Kevin Patrick, Kenneth J Loh, Sara P Gombatto

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. 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

9 authors.

Spencer SpiegelDepartment of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA.ORCID 0009-0007-7034-0472
Elijah WyckoffDepartment of Structural Engineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-8467-2984
Jay BaroloSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, USA.ORCID 0009-0002-4698-7317
Audrey LeeDepartment of Bioengineering, San Diego State University, San Diego, CA 92182, USA.ORCID 0009-0005-2190-234X
Emilia FarcasQualcomm Institute, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-6485-0141
Job GodinoQualcomm Institute, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-4852-6277
Kevin PatrickQualcomm Institute, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-7334-3042
Kenneth J LohDepartment of Structural Engineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-1448-6251
Sara P GombattoSchool of Physical Therapy, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0002-8284-4789

Funding

National Science Foundation IIS-2205093
6 · The paper itself

Abstract

backgroundMotion Tape (MT) is a low-profile, disposable, self-adhesive wearable sensor that measures skin strain. Preliminary studies have validated MT for measuring lower back movement. However, further analysis is needed to determine if MT can be used to measure lower back muscle engagement. The purpose of this study was to measure differences in MT strain between conditions in which the lower back muscles were relaxed versus maximally activated.

methodsTen participants without low back pain were tested. A matrix of six MTs was placed on the lower back, and strain data were captured under a series of conditions. The first condition was a baseline trial, in which participants lay prone and the muscles of the lower back were relaxed. The subsequent trials were maximum voluntary isometric contractions (MVICs), in which participants did not move, but resisted the examiner force in extension or rotational directions to maximally engage their lower back muscles. The mean MT strain was calculated for each condition. A repeated measures ANOVA was conducted to analyze the effects of conditions (baseline, extension, right rotation, and left rotation) and MT position (1-6) on the MT strain. Post hoc analyses were conducted for significant effects from the overall analysis.

resultsThe results of the ANOVA revealed a significant main effect of condition (

conclusionsMT can capture maximal lower back muscle engagement while the trunk remains in a stationary position. Lower sensors are better able to capture muscle engagement than upper sensors. Furthermore, MT captured muscle engagement during rotation conditions better than during extension.

Indexed as

Healthy VolunteersAdultBack MusclesFemaleHumansIsometric ContractionMaleMovementMuscle, SkeletalTorsoWearable Electronic DevicesYoung Adultbody-worn sensorslow backmuscle activitynanocompositesensortextilewearable

Identifiers

PMID39517829
PMCPMC11548327

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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.