Evidence map›Paper›PMID 36501729›Full record

ArticleSensors (Basel, Switzerland)2022

Test-Retest Reliability of Acoustic Emission Sensing of the Knee during Physical Tasks.

Liudmila Khokhlova, Dimitrios-Sokratis Komaris, Salvatore Tedesco, Brendan O'Flynn

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 2 countries.

Liudmila KhokhlovaInsight Centre for Data Analytics, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0003-1254-2467
Dimitrios-Sokratis KomarisInsight Centre for Data Analytics, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0003-4623-9060
Salvatore TedescoInsight Centre for Data Analytics, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0002-7752-2240
Brendan O'FlynnInsight Centre for Data Analytics, Tyndall National Institute, University College Cork, T12 R5CP Cork, Ireland.ORCID 0000-0002-5522-2597
University College Cork · IE

Funding

Science Foundation Ireland 12/RC/2289-P2Science Foundation Ireland 13/RC/2077Science Foundation Ireland 16/RC/3918
6 · The paper itself

Abstract

Acoustic emission (AE) sensing is an increasingly researched topic in the context of orthopedics and has a potentially high diagnostic value in the non-invasive assessment of joint disorders, such as osteoarthritis and implant loosening. However, a high level of reliability associated with the technology is necessary to make it appropriate for use as a clinical tool. This paper presents a test-retest and intrasession reliability evaluation of AE measurements of the knee during physical tasks: cycling, knee lifts and single-leg squats. Three sessions, each involving eight healthy volunteers were conducted. For the cycling activity, ICCs ranged from 0.538 to 0.901, while the knee lifts and single-leg squats showed poor reliability (ICC < 0.5). Intrasession ICCs ranged from 0.903 to 0.984 for cycling and from 0.600 to 0.901 for the other tasks. The results of this study show that movement consistency across multiple recordings and minimizing the influence of motion artifacts are essential for higher test reliability. It was shown that motion artifact resistant sensor mounting and the use of baseline movements to assess sensor attachment can improve the sensing reliability of AE techniques. Moreover, constrained movements, specifically cycling, show better inter- and intrasession reliability than unconstrained exercises.

Indexed as

KneeKnee JointAcousticsHumansMovementReproducibility of Resultsjoint healthjoint soundmeasurement propertieson-body sensor monitoringrepeatability

Identifiers

PMID36501729
PMCPMC9740798
OpenAlexW4309703142

What OpenQuestion holds

Textmetadata
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.