Knee Injuries

McTimoney, Michelle

doi:10.1007/978-0-387-49825-6_12

Cited by 2 publications

(1 citation statement)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, knee osteoarthritis is reported as the leading cause of activity limitation for adults in the United States [ 3 ]. Acute knee injuries are also very prevalent in young populations, especially athletes [ 4 ]. The late diagnosis of knee injuries and disorders can often lead to disability and/or the need for total knee arthroplasty [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Vibration Characterization of the Human Knee Joint in Audible Frequencies

Safaei

Bolus

Ertürk

et al. 2020

Sensors

View full text Add to dashboard Cite

Injuries and disorders affecting the knee joint are very common in athletes and older individuals. Passive and active vibration methods, such as acoustic emissions and modal analysis, are extensively used in both industry and the medical field to diagnose structural faults and disorders. To maximize the diagnostic potential of such vibration methods for knee injuries and disorders, a better understanding of the vibroacoustic characteristics of the knee must be developed. In this study, the linearity and vibration transmissibility of the human knee were investigated based on measurements collected on healthy subjects. Different subjects exhibit a substantially different transmissibility behavior due to variances in subject-specific knee structures. Moreover, the vibration behaviors of various subjects’ knees at different leg positions were compared. Variation in sagittal-plane knee angle alters the transmissibility of the joint, while the overall shape of the transmissibility diagrams remains similar. The results demonstrate that an adjusted stimulation signal at frequencies higher than 3 kHz has the potential to be employed in diagnostic applications that are related to knee joint health. This work can pave the way for future studies aimed at employing acoustic emission and modal analysis approaches for knee health monitoring outside of clinical settings, such as for field-deployable diagnostics.

show abstract

Section: Introductionmentioning

confidence: 99%