The detection and interpretation of vibration emission from the locomotor system is a sensitive, noninvasive method for the objective study of human joints. The projects reviewed here aimed to identify and categorize vibration signals from various joints, chiefly the neonatal hip and the adult knee. Using a vibration detection and computerized analysis system, various studies have suggested that vibration arthrography will be a potentially valuable diagnostic service for the orthopedic surgeon of the 1990s.
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Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Vibration arthrography (VAG) signals are widely utilized for knee pathology recognition due to their non-invasive and radiation-free nature. While most studies focus on determining knee health status, few have examined using VAG signals to locate knee lesions, which would greatly aid physicians in diagnosis and patient monitoring. To address this, we propose using Multi-Label classification (MLC) to efficiently locate different types of lesions within a single input.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2022
Xijing Orthopaedics Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, P. R. China. Electronic address:
Background And Objective: Pathological recognition of knee joint using vibration arthrography (VAG) is increasingly becoming prevailed, due to the non-invasive and non-radiative benefits. However, knee joint health monitoring using VAG signals is a difficult problem, since VAG signals are contaminated by strong motion artifacts (MA) caused by knee movements during daily activities, such as squatting. So far few works have investigated this problem.
View Article and Find Full Text PDFSensors (Basel)
April 2020
Department of Sports Medicine and Exercise Physiology; Goethe University Frankfurt am Main, 60487 Frankfurt am Main, Germany.
Knee acoustic emissions provide information about joint health and loading in motion. As the reproducibility of knee acoustic emissions by vibroarthrography is yet unknown, we evaluated the intrasession and interday reliability of knee joint sounds. In 19 volunteers (25.
View Article and Find Full Text PDFClin Biomech (Bristol)
February 2020
Sport Sciences - Performance and Technology, Department of Health Science and Technology, School of Medicine, Aalborg University, Niels Jernes vej 12, 9220 Aalborg East, Denmark.
Background: Variations in the internal pressure distribution applied to cartilage and synovial fluid explain the spatial dependencies of the knee vibroarthrographic signals. These spatial dependencies were assessed by multi-channel recordings during activities of daily living in patients with painful knee osteoarthrosis.
Methods: Knee vibroarthrographic signals were detected using eight miniature accelerometers, and vibroarthrographic maps were calculated for the most affected knee of 20 osteoarthritis patients and 20 asymptomatic participants during three activities: (i) sit to stand, (ii) stairs descent, and (iii) stairs ascent in real life conditions.
Med Biol Eng Comput
December 2018
Sport Sciences, Department of Health Science and Technology, School of Medicine, Aalborg University, Fredrik Bajers vej 7, 9220, Aalborg East, Denmark.
Vibroarthrography (VAG) has been proposed as a diagnostic tool for knee joint disorders. The methodological aspects of VAG assessments, such as sensor placement and outcomes measures have not been thoroughly investigated. The aim of this study was to investigate the effects of sensor placement and the effect of the knee extension and flexion movements using different added loads on six parameters extracted from VAGs of asymptomatic subjects.
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