Joint Motion Quality in Chondromalacia Progression Assessed by Vibroacoustic Signal Analysis

Bączkowicz, Dawid; Majorczyk, Edyta

doi:10.1016/j.pmrj.2016.03.012

Cited by 26 publications

(46 citation statements)

References 28 publications

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“…Especially the low values of the R4 parameter that indicate a lack of repetitive large peaks, whose presence often corresponds with macroscopic joint cartilage abnormalities or signi cant maltracking of articular surfaces [18,37]. In turn, low spectral activity analyzed by summing spectral power of the VAG signal in two bands: 50-250 Hz (P1) and 250-450 Hz (P2) seems to be related with intact integrity of the super cial layer of hyaline cartilage and an e cient lubrication mechanism [36,44].…”

Section: Discussionmentioning

confidence: 99%

“…Based on previous studies, assessment of the PFJ arthrokinematic motion quality was performed with an accelerometer sensor placed 1 cm above the apex of the patella [11,20,36].…”

Section: Assessment Of Arthrokinematic Motion Qualitymentioning

confidence: 99%

“…The short-time spectra were obtained by computing the discrete Fourier transform of segments, 150 samples each, Hanning window, and 100 samples overlap of each segment. The spectral activity was analyzed by summing spectral power of the VAG signal in two bands: 50-250 Hz (P1) and 250-450 Hz (P2) [18,[36][37][38][39]. The performed ANOVA revealed that there was a signi cant main effect of the applied load on values of each analyzed parameter, similar in both lower limbs.…”

Section: Assessment Of Arthrokinematic Motion Qualitymentioning

confidence: 99%

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Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads

Ołowiana

Selkow

Laudner

et al. 2020

Preprint

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Background: The patellofemoral joint (PFJ) provides extremely low kinetic friction, which results in optimal arthrokinematic motion quality. Previous research showed that these friction-reducing properties may be diminished due to the increase in articular contact forces. However, this phenomenon has not been analyzed in vivo during functional daily-living activities. The aim of this study was the vibroarthrographic assessment of changes in PFJ arthrokinematics during squats with variated loads.Methods: 114 knees from 57 asymptomatic subjects (23 females and 34 males) whose ages ranged from 19 to 26 years were enrolled in this study. Participants were asked to perform 3 trials: 4 repetitions of bodyweight squats (L0), 4 repetitions of 10 kg barbell back loaded squats (L10), 4 repetitions of 20 kg barbell back loaded squats (L20). During the unloaded and loaded (L10, L20) squats, vibroarthrographic signals were collected using an accelerometer placed on the patella and were described by the following parameters: variation of mean square (VMS), mean range (R4), and power spectral density for frequency of 50-250 Hz (P1) and 250-450 Hz (P2).Results: Obtained results showed that the lowest values were noted in the unloaded condition and that the increased applied loads had a significant concomitant increase in all the aforementioned parameters bilaterally (p<0.05).Conclusion: This phenomenon indicates that the application of increasing knee loads during squats corresponds to higher intensity of vibroacoustic emission, which might be related to higher contact stress and kinetic friction as well as diminished arthrokinematic motion quality.

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Section: Discussionmentioning

confidence: 99%

“…Based on previous studies, assessment of the PFJ arthrokinematic motion quality was performed with an accelerometer sensor placed 1 cm above the apex of the patella [11,20,36].…”

Section: Assessment Of Arthrokinematic Motion Qualitymentioning

confidence: 99%

Section: Assessment Of Arthrokinematic Motion Qualitymentioning

confidence: 99%

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Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads

Ołowiana

Selkow

Laudner

et al. 2020

Preprint

Self Cite

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“…While osteoarthritis being one of the most debilitating disease in older population [35], it is advisable to seek new screening methods, which might facilitate early diagnose. Vibroacoustic testing seems to be a good, non-invasive modality [36], however correlation between modelled and examined knee joints must establish its utility in the process of diagnosis.…”

Section: Anatomy and Biomechanics Of Knee Jointmentioning

confidence: 99%

Stress distribution in the knee joint in relation to tibiofemoral angle using the finite element method

Karpiński

Jaworski²,

Jonak

et al. 2019

MATEC Web Conf.

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The article presents the results of a preliminary study on the structural analysis of the knee joint, considering changes in the mechanical properties of the articular cartilage of the joint. Studies have been made due to the need to determine the tension distribution occurring in the cartilage of the human knee. This distribution could be the starting point for designing custom made human knee prosthesis. Basic anatomy, biomechanical analysis of the knee joint and articular cartilage was introduced. Based on a series of computed tomography [CT] scans, the 3D model of human knee joint was reverse-engineered, processed and exported to CAD software. The static mechanical analysis of the knee joint model was conducted using the finite element method [FEM], in three different values of tibiofemoral angle and with varying mechanical properties of the cartilage tissue. Main conclusions of the study are: the capability to absorb loads by articular cartilage of the knee joint is preliminary determined as decreasing with increasing degenerations of the cartilage and with age of a patient. Without further information on changes of cartilage’s mechanical parameters in time it is hard to determine the nature of relation between mentioned capability and these parameters.

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“…Although the VAG method is still under development, it reveals high accuracy, sensitivity, and specificity. Previously, it has been used to differentiate disorders of the patellofemoral joint, due to the specific, disorder-related character of the VAG signal pattern [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification

Łysiak

Fron

Bączkowicz

et al. 2020

Sensors

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Vibroarthrography (VAG) is a non-invasive and potentially widely available method supporting the joint diagnosis process. This research was conducted using VAG signals classified to five different condition classes: three stages of chondromalacia patellae, osteoarthritis, and control group (healthy knee joint). Ten new spectral features were proposed, distinguishing not only neighboring classes, but every class combination. Additionally, Frequency Range Maps were proposed as the frequency feature extraction visualization method. The results were compared to state-of-the-art frequency features using the Bhattacharyya coefficient and the set of ten different classification algorithms. All methods evaluating proposed features indicated the superiority of the new features compared to the state-of-the-art. In terms of Bhattacharyya coefficient, newly proposed features proved to be over 25% better, and the classification accuracy was on average 9% better.

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Joint Motion Quality in Chondromalacia Progression Assessed by Vibroacoustic Signal Analysis

Abstract: IV.

Cited by 26 publications

References 28 publications

Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads

Vibroarthrographic analysis of patellofemoral joint arthrokinematics during squats with increasing external loads

Stress distribution in the knee joint in relation to tibiofemoral angle using the finite element method

Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification

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