ArticleMedical & biological engineering & computing2018
Vibroarthrography for early detection of knee osteoarthritis using normalized frequency features.
Article in Medical & biological engineering & computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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.
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Who cites it
19 citing papers in PubMed, 63 citations in OpenAlex.
- Acute effects of a single bout of exercise therapy on knee acoustic emissions in patients with osteoarthritis: a double-blinded, randomized controlled crossover trial.BMC musculoskeletal disorders · 2022Trial
- Effect of warm-up and muscle fatiguing exercise on knee joint sounds in motion by vibroarthrography: A randomized crossover trial.PloS one · 2021Trial
- Acoustic Emission Biomarkers for the Detection and Monitoring of Early Knee Osteoarthritis: Protocol for a Prospective, Single-Center, Exploratory Study.JMIR research protocols · 2026Article
- Computational and Imaging Approaches for Precision Characterization of Bone, Cartilage, and Synovial Biomolecules.Journal of personalized medicine · 2025Review
- Multi-Scale Analysis of Knee Joint Acoustic Signals for Cartilage Degeneration Assessment.Sensors (Basel, Switzerland) · 2025Article
- Unsupervised Segmentation of Knee Bone Marrow Edema-like Lesions Using Conditional Generative Models.Bioengineering (Basel, Switzerland) · 2024Article
- Knee Osteoarthritis: Epidemiology, Pathogenesis, and Mesenchymal Stem Cells: What Else Is New? An Update.International journal of molecular sciences · 2023Review
- The application of machine learning in early diagnosis of osteoarthritis: a narrative review.Therapeutic advances in musculoskeletal disease · 2023Review
- Advanced MR Imaging for Knee Osteoarthritis: A Review on Local and Brain Effects.Diagnostics (Basel, Switzerland) · 2022Review
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part II: Patellofemoral Joint.Sensors (Basel, Switzerland) · 2022Article
- Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review.Annals of biomedical engineering · 2022Review
- Effects of Viscosupplementation on Quality of Knee Joint Arthrokinematic Motion Analyzed by Vibroarthrography.Cartilage · 2021Article
- Quantifying Signal Quality for Joint Acoustic Emissions Using Graph-Based Spectral Embedding.IEEE sensors journal · 2021Article
- Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification.Sensors (Basel, Switzerland) · 2020Article
- A Pilot Study to Assess the Reliability of Sensing Joint Acoustic Emissions of the Wrist.Sensors (Basel, Switzerland) · 2020Article
- Effect of whole body vibration on HIF-2α expression in SD rats with early knee osteoarthritis.Journal of bone and mineral metabolism · 2020Article
- Acoustic signal analysis of instrument-tissue interaction for minimally invasive interventions.International journal of computer assisted radiology and surgery · 2020Article
- Reliability of Vibroarthrography to Assess Knee Joint Sounds in Motion.Sensors (Basel, Switzerland) · 2020Article
- Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads.BMC sports science, medicine & rehabilitation · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Vibroarthrography is a radiation-free and inexpensive method of assessing the condition of knee cartilage damage during extension-flexion movements. Acoustic sensors were placed on the patella and medial tibial plateau (two accelerometers) as well as on the lateral tibial plateau (a piezoelectric disk) to measure the structure-borne noise in 59 asymptomatic knees and 40 knees with osteoarthritis. After semi-automatic segmentation of the acoustic signals, frequency features were generated for the extension as well as the flexion phase. We propose simple and robust features based on relative high-frequency components. The normalized nature of these frequency features makes them insusceptible to influences on the signal gain, such as attenuation by fat tissue and variance in acoustic coupling. We analyzed their ability to serve as classification features for detection of knee osteoarthritis, including the effect of normalization and the effect of combining frequency features of all three sensors. The features permitted a distinction between asymptomatic and non-healthy knees. Using machine learning with a linear support vector machine, a classification specificity of approximately 0.8 at a sensitivity of 0.75 could be achieved. This classification performance is comparable to existing diagnostic tests and hence qualifies vibroarthrography as an additional diagnostic tool. Graphical Abstract Acoustic frequency features were used to detect knee osteoarthritis at 80% specificity and 75% sensitivity.
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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.