Evidence map›Paper›PMID 29020053›Full record

Trial reportPloS one2017

Method for measuring tri-axial lumbar motion angles using wearable sheet stretch sensors.

Akio Yamamoto, Hiroyuki Nakamoto, Tokiya Yamaji, Hideo Ootaka, Yusuke Bessho, Ryo Nakamura, Rei Ono

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The past, present, and future of remote patient monitoring in spine care: an overview.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021
    Review
  9. Article
  10. 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 at 3 institutions in 1 country.

Akio YamamotoDepartment of Community Health Science, Graduate School of Health Science, Kobe University, Kobe, Hyogo, Japan.ORCID http://orcid.org/0000-0001-5561-9992
Hiroyuki NakamotoDepartment of System Science, Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan.
Tokiya YamajiDepartment of System Science, Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan.
Hideo OotakaBando Chemical Industries, Ltd., Kobe, Hyogo, Japan.
Yusuke BesshoBando Chemical Industries, Ltd., Kobe, Hyogo, Japan.
Ryo NakamuraDepartment of Community Health Science, Graduate School of Health Science, Kobe University, Kobe, Hyogo, Japan.
Rei OnoDepartment of Community Health Science, Graduate School of Health Science, Kobe University, Kobe, Hyogo, Japan.
Hyogo University of Health Sciences · JPBando Chemical Industries (Japan) · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBody movements, such as trunk flexion and rotation, are risk factors for low back pain in occupational settings, especially in healthcare workers. Wearable motion capture systems are potentially useful to monitor lower back movement in healthcare workers to help avoid the risk factors. In this study, we propose a novel system using sheet stretch sensors and investigate the system validity for estimating lower back movement.

methodsSix volunteers (female:male = 1:1, mean age: 24.8 ± 4.0 years, height 166.7 ± 5.6 cm, weight 56.3 ± 7.6 kg) participated in test protocols that involved executing seven types of movements. The movements were three uniaxial trunk movements (i.e., trunk flexion-extension, trunk side-bending, and trunk rotation) and four multiaxial trunk movements (i.e., flexion + rotation, flexion + side-bending, side-bending + rotation, and moving around the cranial-caudal axis). Each trial lasted for approximately 30 s. Four stretch sensors were attached to each participant's lower back. The lumbar motion angles were estimated using simple linear regression analysis based on the stretch sensor outputs and compared with those obtained by the optical motion capture system.

resultsThe estimated lumbar motion angles showed a good correlation with the actual angles, with correlation values of r = 0.68 (SD = 0.35), r = 0.60 (SD = 0.19), and r = 0.72 (SD = 0.18) for the flexion-extension, side bending, and rotation movements, respectively (all P < 0.05). The estimation errors in all three directions were less than 3°.

conclusionThe stretch sensors mounted on the back provided reasonable estimates of the lumbar motion angles. The novel motion capture system provided three directional angles without capture space limits. The wearable system possessed great potential to monitor the lower back movement in healthcare workers and helping prevent low back pain.

Indexed as

AdultBiomechanical PhenomenaBiophysicsFemaleHumansLumbar VertebraeMaleRange of Motion, ArticularTime Factors

Identifiers

PMID29020053
PMCPMC5636072
OpenAlexW2763291574

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.