Evidence map›Paper›PMID 33337502›Full record

ArticleJournal of rehabilitation medicine2021

Feasibility and reliability of a web-based smartphone application for joint position measurement.

Bharadwaj Ravi, Manak Kapoor, Darren Player

Abstract read
In one paragraph

Article in Journal of rehabilitation medicine, 2021. 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.

  1. Article
  2. Article
  3. Evaluation of Reliability of the Luna EMG Rehabilitation Robot to Assess Proprioception in the Upper Limbs in 102 Healthy Young Adults.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Bharadwaj RaviMBBS, MSc (Musculoskeletal Science), University College London, Gower Street, London, United Kingdom. E-mail: dr.bravi@yahoo.com.
Manak Kapoor
Darren Player

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMeasurement of joint angles is usually performed using a simple goniometer, which can often be time-consuming and inaccurate, however smartphones can measure angles, this technology could be used to measure joint position. Studies of smartphone applications for this purpose lack consistency and homogeneity. The aim of the current study is to analyse the reliability and accuracy of 3 inertial motion unit-based smartphone applications for goniometric measurement, using 3 different industry standards as external controls.

methodsIn the first 2 phases of the study, measurements of angles between 90° and 165° (simulating knee extension) using 3 smartphone applications were analysed against the 3 industry standards. In the third phase, the smartphone's raw data was individually analysed against a digital inclinometer across the x, y and z axes. RESULTS AND

conclusionResults from the 3 phases of this study indicate a high degree of reliability and validity of the applications compared with the industry standards, with no clinically significant deviations. Thus, this technology could be used in a clinical setting. However, further clinical research, focussing on joint motions with greater than a single degree of freedom, is required before the use of such applications for joint position measurement in clinical practice.

Indexed as

Arthrometry, ArticularFeasibility StudiesHumansInternet UseMobile ApplicationsRange of Motion, ArticularReproducibility of ResultsSmartphoneaccelerometergoniometergoniometryjoint anglejoint positionmeasurementproprioceptionrange of motionsmartphone application

Identifiers

PMID33337502
PMCPMC8814887

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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.