ArticlePloS one2019
Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA).
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- A robust and interpretable deep transfer learning framework on knee acoustic emissions for osteoarthritis classification.npj biomedical innovations · 2026Article
- Toward Wearables for Bruxism Detection: Voluntary Oral Behaviors Sound Recorded Across the Head Depend on Transducer Placement.Clinical and experimental dental research · 2024Article
- Validating Joint Acoustic Emissions Models as a Generalizable Predictor of Joint Health.IEEE sensors journal · 2024Article
- Correlation between proprioception, functionality, patient-reported knee condition and joint acoustic emissions.PloS one · 2024Article
- Classifying Pre-Radiographic Osteoarthritis of the Knee Using Wearable Acoustics Sensing at the Point of Care.IEEE sensors journal · 2023Article
- Test-Retest Reliability of Acoustic Emission Sensing of the Knee during Physical Tasks.Sensors (Basel, Switzerland) · 2022Article
- Using Nonlinear Vibroartrographic Parameters for Age-Related Changes Assessment in Knee Arthrokinematics.Sensors (Basel, Switzerland) · 2022Article
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part I: Femoral-Tibial Joint.Sensors (Basel, Switzerland) · 2022Article
- Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings.Scientific reports · 2021Article
- The Assessment of the Condition of Knee Joint Surfaces with Acoustic Emission Analysis.Sensors (Basel, Switzerland) · 2021Article
- Effects of Immobilization and Re-Mobilization on Knee Joint Arthrokinematic Motion Quality.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
Our objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements generated during weight-bearing knee movement. Candidate AE biomarkers identified by this approach could then be validated in larger studies for use in future clinical trials and stratified medicine applications for this common health condition. A population cohort of participants with knee pain and a Kellgren-Lawrence (KL) score between 1-4 were recruited from local NHS primary and secondary care sites. Focusing on participants' self-identified worse knee, and using our established movement protocol, sources of variation in AE measurement and associations of AE markers with other markers were explored. Using this approach we identified 4 initial candidate AE biomarkers, of which "number of hits" showed the best reproducibility, in terms of within-session, day to day, week to week, between-practitioner, and between-machine variation, at 2 different machine upper frequency settings. "Number of hits" was higher in knees with KL scores of 2 than in KL1, and also showed significant associations with pain in the contralateral knee, and with body weight. "Hits" occurred predominantly in 2 of 4 defined movement quadrants. The protocol was feasible and acceptable to all participants and professionals involved. This study demonstrates how AE measurement during simple sit-stand-sit movements can be used to generate novel candidate knee OA biomarkers. AE measurements probably reflect a composite of structural changes and joint loading factors. Refinement of the method and increasing understanding of factors contributing to AE will enable this approach to be used to generate further candidate biomarkers for validation and potential use in clinical trials.
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Registered trials
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.