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Critical Reviews™ in Physical and Rehabilitation Medicine

Published 4 issues per year

ISSN Print: 0896-2960

ISSN Online: 2162-6553

SJR: 0.141 SNIP: 0.129 CiteScore™:: 0.6 H-Index: 18

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A Review of Engineering Aspects of Vibroarthography of the Knee Joint

Volume 28, Issue 1-2, 2016, pp. 13-32
DOI: 10.1615/CritRevPhysRehabilMed.2016017185
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ABSTRACT

Vibroarthrography (VAG) of the knee has been a noninvasive diagnostic tool for more than 100 years. During the last two decades, electronic sensors and digital signal processing have become central key elements of VAG research. Several sensor types and processing approaches have been used, but to date no consensus on the most adequate way to record and process VAG signals has been reached. In this review, we investigate two central aspects: the recording techniques and the processing chains used in the field of knee VAG. In the majority of VAG studies, a single accelerometer is used as the sensor and signals are recorded in a frequency range below 1000 Hz. Time−frequency features, statistical features, spatiotemporal features and combinations of these feature types have been extracted from VAG recordings. The most frequently used classifiers have been neural network−based classifiers and vector support machines. Classifier accuracies of >90% and area under the receiver operating characteristic curve >0.9 have been achieved, showing that VAG has great potential as a diagnostic tool. In the future, multi-channel VAG recordings may lead to better discrimination of the severity of and the location of the knee injury or disorder.

CITED BY
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  5. Samani Afshin, Andersen Rasmus Elbæk, Arendt-Nielsen Lars, Madeleine Pascal, Discrimination of knee osteoarthritis patients from asymptomatic individuals based on pain sensitivity and knee vibroarthrographic recordings, Physiological Measurement, 41, 5, 2020. Crossref

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  9. Nabi Vugar, Ayhan Selim, Acaroglu Emre, Ahi Mustafa Arda, Toreyin Hakan, Cetin A. Enis, Can we diagnose disk and facet degeneration in lumbar spine by acoustic analysis of spine sounds?, Signal, Image and Video Processing, 15, 3, 2021. Crossref

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  12. Verma Dhirendra Kumar, Kumari Poonam, Kanagaraj Subramani, Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review, Annals of Biomedical Engineering, 50, 3, 2022. Crossref

  13. Karpiński Robert, Krakowski Przemysław, Jonak Józef, Machrowska Anna, Maciejewski Marcin, Nogalski Adam, Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint, Sensors, 22, 10, 2022. Crossref

  14. Gharehbaghi Sevda, Jeong Hyeon Ki, Safaei Mohsen, Inan Omer T., A Feasibility Study on Tribological Origins of Knee Acoustic Emissions, IEEE Transactions on Biomedical Engineering, 69, 5, 2022. Crossref

  15. Karpiński Robert, Krakowski Przemysław, Jonak Józef, Machrowska Anna, Maciejewski Marcin, Nogalski Adam, Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part I: Femoral-Tibial Joint, Sensors, 22, 6, 2022. Crossref

  16. Kalo Kristin, Niederer Daniel, Schmitt Marco, Vogt Lutz, 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, 23, 1, 2022. Crossref

  17. Khokhlova Liudmila, Komaris Dimitrios-Sokratis, Tedesco Salvatore, O'Flynn Brendan, Assessment of Hip and Knee Joints and Implants Using Acoustic Emission Monitoring: A Scoping Review, IEEE Sensors Journal, 21, 13, 2021. Crossref

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