Kinetics prediction of normal knee and undergone total knee arthroplasty during squatting based on extreme gradient boosting

Autor: Kasiwat Chaiyasit, Chotchuang Phombut, Attasit Wiangkham, Supakit Rooppakhun
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Results in Engineering, Vol 23, Iss , Pp 102663- (2024)
Druh dokumentu: article
ISSN: 2590-1230
DOI: 10.1016/j.rineng.2024.102663
Popis: Following an arthroplasty, biomechanical evaluation of the knee joint is crucial because it plays a significant role in patient rehabilitation and physician follow-up. The sixty-two subjects, consisting of 31 with normal knees and 31 who had undergone total knee arthroplasty, evaluated the kinetics of the knee joints during squatting using inverse dynamics analysis. Artificial intelligence based on the XGBoost model was also used to predict kinetics data during group squatting. The result revealed that the maximum force, moment, and quadriceps force in the normal knee were higher than in the TKA group during squatting. The maximum resultant joint force magnitude in the normal and TKA groups revealed an average of 4.35 ± 1.00 and 3.08 ± 1.20 times body weight, respectively. Kinetics of the knee joint in a normal knee significantly differed (p
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