Evidence map›Paper›PMID 40573655›Full record

ArticleSensors (Basel, Switzerland)2025

Carbon Nanotube Elastic Fabric Motion Tape Sensors for Low Back Movement Characterization.

Elijah Wyckoff, Sara P Gombatto, Yasmin Velazquez, Job Godino, Kevin Patrick, Emilia Farcas, Kenneth J Loh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Elijah WyckoffActive, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, Department of Structural Engineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-8467-2984
Sara P GombattoDoctor of Physical Therapy Program, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0002-8284-4789
Yasmin VelazquezSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA 92182, USA.ORCID 0009-0005-2133-8638
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
Emilia FarcasQualcomm Institute, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0001-6485-0141
Kenneth J LohActive, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, Department of Structural Engineering, University of California San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-1448-6251

Funding

NSF IIS-2205093
6 · The paper itself

Abstract

Monitoring posture and movement accurately and efficiently is essential for both physical therapy and athletic training evaluation and interventions. Motion Tape (MT), a self-adhesive wearable skin-strain sensor made of piezoresistive graphene nanosheets (GNS), has demonstrated promise in capturing low back posture and movements. However, to address some of its limitations, this work explores alternative materials by replacing GNS with multi-walled carbon nanotubes (MWCNT). This study aimed to characterize the electromechanical properties of MWCNT-based MT. Cyclic load tests for different peak tensile strains ranging from 1% to 10% were performed on MWCNT-MT made with an aqueous ink of 2% MWCNT. Additional tests to examine load rate sensitivity and fatigue were also conducted. After characterizing the properties of MWCNT-MT, a human subject study with 10 participants was designed to test its ability to capture different postures and movements. Sets of six sensors were made from each material (GNS and MWCNT) and applied in pairs at three levels along each side of the lumbar spine. To record movement of the lower back, all participants performed forward flexion, left and right bending, and left and right rotation movements. The results showed that MWCNT-MT exceeded GNS-MT with respect to consistency of signal stability even when strain limits were surpassed. In addition, both types of MT could assess lower back movements.

Indexed as

Nanotubes, CarbonAdultFemaleGraphiteHumansMaleMovementPostureTextilesWearable Electronic DevicesGraphiteNanotubes, Carbongraphenehuman performancemovementnanocompositephysical therapypostureskinstraintextiletrainingwearable sensor

Identifiers

PMID40573655
PMCPMC12196805

What OpenQuestion holds

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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.