ArticleAnnals of biomedical engineering2020
Acoustic Emissions as a Non-invasive Biomarker of the Structural Health of the Knee.
Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Spine Sound Classification: An Explainable Machine Learning Approach.IEEE open journal of engineering in medicine and biology · 2026Article
- Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs.Sensors (Basel, Switzerland) · 2025Article
- 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
- Pandemic-proof recruitment and engagement in a fully decentralized trial in atrial fibrillation patients (DeTAP).NPJ digital medicine · 2022Article
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part II: Patellofemoral Joint.Sensors (Basel, Switzerland) · 2022Article
- A Feasibility Study on Tribological Origins of Knee Acoustic Emissions.IEEE transactions on bio-medical engineering · 2022Article
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part I: Femoral-Tibial Joint.Sensors (Basel, Switzerland) · 2022Article
- Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review.Annals of biomedical engineering · 2022Review
- An Interpretable Experimental Data Augmentation Method to Improve Knee Health Classification Using Joint Acoustic Emissions.Annals of biomedical engineering · 2021Article
- Detection of Meniscal Tear Effects on Tibial Vibration Using Passive Knee Sound Measurements.IEEE transactions on bio-medical engineering · 2021Article
- Quantifying Signal Quality for Joint Acoustic Emissions Using Graph-Based Spectral Embedding.IEEE sensors journal · 2021Article
- A Novel Accelerometer Mounting Method for Sensing Performance Improvement in Acoustic Measurements From the Knee.Journal of vibration and acoustics · 2021Article
- Estimating Knee Joint Load Using Acoustic Emissions During Ambulation.Annals of biomedical engineering · 2021Article
- A Pilot Study to Assess the Reliability of Sensing Joint Acoustic Emissions of the Wrist.Sensors (Basel, Switzerland) · 2020Article
- Vibration Characterization of the Human Knee Joint in Audible Frequencies.Sensors (Basel, Switzerland) · 2020Article
- Knee Acoustic Emissions as a Digital Biomarker of Disease Status in Juvenile Idiopathic Arthritis.Frontiers in digital health · 2020Article
- Digitizing clinical trials.NPJ digital medicine · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The longitudinal assessment of joint health is a long-standing issue in the management of musculoskeletal injuries. The acoustic emissions (AEs) produced by joint articulation could serve as a biomarker for joint health assessment, but their use has been limited by a lack of mechanistic understanding of their creation. In this paper, we investigate that mechanism using an injury model in human lower-limb cadavers, and relate AEs to joint kinematics. Using our custom joint sound recording system, we recorded the AEs from nine cadaver legs in four stages: at baseline, after a sham surgery, after a meniscus tear, and post-meniscectomy. We compare the resulting AEs using their b-values. We then compare joint anatomy/kinematics to the AEs using the X-ray reconstruction of moving morphology (XROMM) technique. After the meniscus tear the number and amplitude of the AE peaks greatly increased from baseline and sham (b-value = 1.33 ± 0.15; p < 0.05). The XROMM analysis showed a close correlation between the minimal inter-joint distances (0.251 ± 0.082 cm during extension, 0.265 ± .003 during flexion, at 145°) and a large increase in the AEs. This work provides key insight into the nature of joint AEs, and details a novel technique and analysis for recording and interpreting these biosignals.
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Registered trials
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