Evidence map›Paper›PMID 39093610›Full record

ArticleJMIR rehabilitation and assistive technologies2024

Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study.

Audrey Lee, Elijah Wyckoff, Emilia Farcas, Job Godino, Kevin Patrick, Spencer Spiegel, Rose Yu, Arun Kumar, Kenneth J Loh, Sara Gombatto

Abstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

10 authors.

Audrey LeeDepartment of Bioengineering, San Diego State University, San Diego, CA, United States.ORCID https://orcid.org/0009-0005-2190-234X
Elijah WyckoffActive, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, Department of Structural Engineering, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0002-8467-2984
Emilia FarcasQualcomm Institute, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0001-6485-0141
Job GodinoQualcomm Institute, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0002-4852-6277
Kevin PatrickQualcomm Institute, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0002-7334-3042
Spencer SpiegelDepartment of Mathematics and Statistics, San Diego State University, San Diego, CA, United States.ORCID https://orcid.org/0009-0007-7034-0472
Rose YuComputer Science and Engineering and Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0002-8491-7937
Arun KumarComputer Science and Engineering and Halicioglu Data Science Institute, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0009-0007-5036-2631
Kenneth J LohActive, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, Department of Structural Engineering, University of California San Diego, La Jolla, CA, United States.ORCID https://orcid.org/0000-0003-1448-6251
Sara GombattoSchool of Physical Therapy, San Diego State University, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-8284-4789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow back pain (LBP) is a significant public health problem that can result in physical disability and financial burden for the individual and society. Physical therapy is effective for managing LBP and includes evaluation of posture and movement, interventions directed at modifying posture and movement, and prescription of exercises. However, physical therapists have limited tools for objective evaluation of low back posture and movement and monitoring of exercises, and this evaluation is limited to the time frame of a clinical encounter. There is a need for a valid tool that can be used to evaluate low back posture and movement and monitor exercises outside the clinic. To address this need, a fabric-based, wearable sensor, Motion Tape (MT), was developed and adapted for a low back use case. MT is a low-profile, disposable, self-adhesive, skin-strain sensor developed by spray coating piezoresistive graphene nanocomposites directly onto commercial kinesiology tape.

objectiveThe objectives of this study were to (1) validate MT for measuring low back posture and movement and (2) assess the acceptability of MT for users.

methodsA total of 10 participants without LBP were tested. A 3D optical motion capture system was used as a reference standard to measure low back kinematics. Retroreflective markers and a matrix of MTs were placed on the low back to measure kinematics (motion capture) and strain (MT) simultaneously during low back movements in the sagittal, frontal, and axial planes. Cross-correlation coefficients were calculated to evaluate the concurrent validity of MT strain in reference motion capture kinematics during each movement. The acceptability of MT was assessed using semistructured interviews conducted with each participant after laboratory testing. Interview data were analyzed using rapid qualitative analysis to identify themes and subthemes of user acceptability.

resultsVisual inspection of concurrent MT strain and kinematics of the low back indicated that MT can distinguish between different movement directions. Cross-correlation coefficients between MT strain and motion capture kinematics ranged from -0.915 to 0.983, and the strength of the correlations varied across MT placements and low back movement directions. Regarding user acceptability, participants expressed enthusiasm toward MT and believed that it would be helpful for remote interventions for LBP but provided suggestions for improvement.

conclusionsMT was able to distinguish between different low back movements, and most MTs demonstrated moderate to high correlation with motion capture kinematics. This preliminary laboratory validation of MT provides a basis for future device improvements, which will also involve testing in a free-living environment. Overall, users found MT acceptable for use in physical therapy for managing LBP.

Indexed as

fabriclow back painnanocompositesensor acceptabilitysensor validationskinstrainwearable

Identifiers

PMID39093610
PMCPMC11329853

What OpenQuestion holds

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LicenceCC BY
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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.