Using Nonlinear Vibroartrographic Parameters for Age-Related Changes Assessment in Knee Arthrokinematics

Kręcisz, Krzysztof; Bączkowicz, Dawid; Kawala-Sterniuk, Aleksandra

doi:10.3390/s22155549

Cited by 4 publications

(2 citation statements)

References 44 publications

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“…The quality of the movement is rarely analyzed due to fewer available diagnostic devices, with vibroarthrography (VAG) being one of them [ 4 , 5 , 6 ]. It is a tool for assessing the quality of motion in human joints [ 7 , 8 , 9 ]. It has been used for assessing joint’s sounds, for example, in the knees, ankles, and temporomandibular joints (TMJ) [ 5 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Łysiak

Marciniak

Bączkowicz

2022

Sensors

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Current research concerning the repeatability of the joint’s sounds examination in the temporomandibular joints (TMJ) is inconclusive; thus, the aim of this study was to investigate the repeatability of the specific features of the vibroarthrogram (VAG) in the TMJ using accelerometers. The joint sounds of both TMJs were measured with VAG accelerometers in two groups, study and control, each consisting of 47 participants (n = 94). Two VAG recording sessions consisted of 10 jaw open/close cycles guided by a metronome. The intraclass correlation coefficient (ICC) was calculated for seven VAG signal features. Additionally, a k-nearest-neighbors (KNN) classifier was defined and compared with a state-of-the-art method (joint vibration analysis (JVA) decision tree). ICC indicated excellent (for the integral below 300 Hz feature), good (total integral, integral above 300 Hz, and median frequency features), moderate (integral below to integral above 300 Hz ratio feature) and poor (peak amplitude feature) reliability. The accuracy scores for the KNN classifier (up to 0.81) were higher than those for the JVA decision tree (up to 0.60). The results of this study could open up a new field of research focused on the features of the vibroarthrogram in the context of the TMJ, further improving the diagnosing process.

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Section: Introductionmentioning

confidence: 99%

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Łysiak

Marciniak

Bączkowicz

2022

Sensors

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“…The next paper written by Kręcisz et al [ 8 ] titled “Using Nonlinear Vibroartrographic Parameters for Age-Related Change Assessment in Knee Arthrokinematics” concentrates on changes in articular surfaces associated with aging, which lead to quantitative and qualitative joint motion impairment. This paper evaluates the age-related knee joint quality arthrokinematic motion using nonlinear parameters of the vibroarthrographic (VAG) signals, such as recurrence rate (RR) and multi-scale entropy (MSE).…”

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confidence: 99%

Editorial: Biomedical Data in Human–Machine Interaction

Kawala-Sterniuk,

Wójcik,

Bauer

2023

Sensors

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Influence of external load during back squats on knee joint arthrokinematics analyzed by vibroarthrography

Borzucka,

Kręcisz,

Bączkowicz

2024

Preprint

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Background This study aimed to use vibroarthrography to evaluate the effect of different external loads on the arthrokinematics of the patellofemoral joint during the back squat motion in vivo. The level of vibroarthrographic signal was expected to increase with the level of applied load; however, the trend of increase was unknown. Methods Participants, who were recruited from team sport athletes, were requested to perform eight trials: four bodyweight squats and four back-loaded barbell squats of 10–70 kg, with 1 min rest between tests. Finally, 38 male volunteers (age: 22.0 ± 1.1 years, body mass: 82.8 ± 10.1 kg, height: 186,7 ± 7.9 cm) were included in the study. All participants described their health condition as “very good.” An average physical activity of moderate-to-vigorous intensity, mostly aerobic, was considered as 12,47 ± 3,37 hours across the week. The arthrokinematic quality of movement of the PFJ was assessed using an accelerometer sensor placed 1 cm above the apex of the patella. Results The experimental results revealed that the vibroarthrographic signal level steadily increased with an increasing knee load during squatting, which could be attributed to higher contact stress and kinetic friction of the joint surfaces. The phenomenon was analyzed throughout the range of loads applied, which followed a linear pattern. Conclusions The proposed method is a promising tool for monitoring the effects of external loads on the knee joint mechanics and adaptive changes that occur during training. Moreover athletes and coaches should take into account that increased loads can result in accelerated joint wear and tear.

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Using Nonlinear Vibroartrographic Parameters for Age-Related Changes Assessment in Knee Arthrokinematics

Cited by 4 publications

References 44 publications

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Repeatability of the Vibroarthrogram in the Temporomandibular Joints

Editorial: Biomedical Data in Human–Machine Interaction

Influence of external load during back squats on knee joint arthrokinematics analyzed by vibroarthrography

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