Vibration arthrometry in assessment of knee disorders: the problem of angular velocity

Kernohan, George; Barr, D.A.; McCoy, G. F.; Mollan, Rab

doi:10.1016/0141-5425(91)90041-5

Cited by 19 publications

(15 citation statements)

References 4 publications

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“…Kernohan et al [29][30][31][32], Mollan et al [44], and McCoy et al [41] demonstrated the importance of the lower frequencies present in VAG signals, which are [41] found that 80% of the patients with meniscal injuries produced characteristic signals, and that alterations in normal joint crepitus (grinding noise) may be a useful indicator of early cartilage degeneration.…”

Section: Discussionmentioning

confidence: 94%

Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions

Rangayyan

2007

Med Biol Eng Comput

102

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Externally detected vibroarthrographic (VAG) signals bear diagnostic information related to the roughness, softening, breakdown, or the state of lubrication of the articular cartilage surfaces of the knee joint. Analysis of VAG signals could provide quantitative indices for noninvasive diagnosis of articular cartilage breakdown and staging of osteoarthritis. We propose the use of statistical parameters of VAG signals, including the form factor involving the variance of the signal and its derivatives, skewness, kurtosis, and entropy, to classify VAG signals as normal or abnormal. With a database of 89 VAG signals, screening efficiency of up to 0.82 was achieved, in terms of the area under the receiver operating characteristics curve, using a neural network classifier based on radial basis functions.

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Section: Discussionmentioning

confidence: 94%

Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions

Rangayyan

2007

Med Biol Eng Comput

102

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“…Not only in previous but also in the present study, it was difficult to conclude which pathological changes of cartilage or other tissues around the knee joint were responsible for producing the noise in the knee with OA. 9 Comparisons of VAG signals among various types of OA; e.g. OA with and without articular effusion etc., may yield further functional information.…”

Section: Discussionmentioning

confidence: 99%

Articular Sound and Clinical Stages in Knee Arthropathy

Тanaka

Hoshiyama

2011

J. Musculoskelet. Res.

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Objective: To clarify the pathophysiology of knee arthropathy, articular sound in the knee joint was recorded using an accelerometer, vibroarthrography (VAG), during standing-up and sitting-down movements in patients with osteoarthropathy (OA) of the knees. Methods: VAG signals and angular changes of the knee joint during standing-up and sitting-down movements were recorded in patients with OA, including 17 knees with OA at KellgrenÀLawrence stage I and II, 16 knees with OA at III and IV stages, and 20 knees of age-matched control subjects. Results: The level of VAG signals was greater in knees with a higher stage of OA at 50À99 and 100À149 Hz among the groups (ANOVA with TukeyÀKramer multiple comparisons test, p < 0:01). The VAG signals did not correlate with WOMAC-pain or physical scores. Conclusions: We considered that the increase in VAG signals in these ranges of frequency corresponded with pathological changes of OA, but not self-reported clinical symptoms. This method of VAG can be used by clinicians during interventions to obtain pathological information regarding structural changes of the knee joint.

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“…Vibroarthrography (VAG) is a noninvasive method of assessing cartilage degeneration or knee OA4,5,6,7,8 ) . A previous study8 ) demonstrated that a high frequency area (200−600 Hz) obtained by fast Fourier transform (FFT) is a key feature of knee OA.…”

Section: Introductionmentioning

confidence: 99%

Preliminary study of optimal measurement location on vibroarthrography for classification of patients with knee osteoarthritis

et al. 2016

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[Purpose] The aims of the present study were to investigate the most suitable location for vibroarthrography measurements of the knee joint to distinguish a healthy knee from knee osteoarthritis using Wavelet transform analysis. [Subjects and Methods] Participants were 16 healthy females and 17 females with severe knee osteoarthritis. Vibroarthrography signals were measured on the medial and lateral epicondyles, mid-patella, and tibia using stethoscopes with a microphone while subjects stood up from a seated position. Frequency and knee flexion angles at the peak wavelet coefficient were obtained. [Results] Peak wavelet coefficients at the lateral condyle and tibia were significantly higher in patients with knee osteoarthritis than in the control group. Knee joint angles at the peak wavelet coefficient were smaller (more extension) in the osteoarthritis group compared to the control group. The area under the receiver operating characteristic curve on tibia assessment with the frequency and knee flexion angles was higher than at the other measurement locations (both area under the curve: 0.86). [Conclusion] The tibia is the most suitable location for classifying knee osteoarthritis based on vibroarthrography signals.

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Vibration arthrometry in assessment of knee disorders: the problem of angular velocity

Cited by 19 publications

References 4 publications

Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions

Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions

Articular Sound and Clinical Stages in Knee Arthropathy

Preliminary study of optimal measurement location on vibroarthrography for classification of patients with knee osteoarthritis

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