Kinect Azure–Based Accurate Measurement of Dynamic Valgus Position of the Knee—A Corrigible Predisposing Factor of Osteoarthritis
| Autor: | Zsombor Lacza, Kristóf Rácz, Márton Kékesi, Mira Ambrus, Ádám Uhlár, Eszter Fodor, Gergely Szathmáry, László Grand |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
musculoskeletal diseases
medicine.medical_specialty Technology Computer science QH301-705.5 QC1-999 Valgus position Squat Osteoarthritis Knee Joint single-leg squat Motion capture Lower limb 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation medicine motion capture General Materials Science Biology (General) Recognition algorithm Instrumentation QD1-999 030203 arthritis & rheumatology Fluid Flow and Transfer Processes biology integumentary system Process Chemistry and Technology Physics dynamic knee valgus General Engineering ACL rupture 030229 sport sciences biology.organism_classification medicine.disease Engineering (General). Civil engineering (General) musculoskeletal system Computer Science Applications body regions Valgus Chemistry osteoarthritis Kinect Azure TA1-2040 human activities |
| Zdroj: | Applied Sciences Volume 11 Issue 12 Applied Sciences, Vol 11, Iss 5536, p 5536 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11125536 |
| Popis: | (1) Dynamic knee valgus is a predisposing factor for anterior cruciate ligament rupture and osteoarthritis. The single-leg squat (SLS) test is a widely used movement pattern test in clinical practice that helps to assess the risk of lower-limb injury. We aimed to quantify the SLS test using a marker-less optical system. (2) Kinect validity and accuracy during SLS were established by marker-based OptiTrack and MVN Xsens motion capture systems. Then, 22 individuals with moderate knee symptoms during sports activities (Tegner > 4, Lysholm > 60) performed SLS, and this was recorded and analyzed with a Kinect Azure camera and the Dynaknee software. (3) An optical sensor coupled to an artificial-intelligence-based joint recognition algorithm gave a comparable result to traditional marker-based motion capture devices. The dynamic valgus sign quantified by the Q-angle at the lowest point of the squat is highly dependent on squat depth, which severely limits its comparability among subjects. In contrast, the medio-lateral shift of the knee midpoint at a fixed squat depth, expressed in the percentage of lower limb length, is more suitable to quantify dynamic valgus and compare values among individual patients. (4) The current study identified a new and reliable way of evaluating dynamic valgus of the knee joint by measuring the medial shift of the knee-over-foot at a standardized squat depth. Using a marker-less optical system widens the possibilities of evaluating lower limb functional instabilities for medical professionals. |
| Databáze: | OpenAIRE |
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