Vertical and mediolateral knee acceleration during level walking in individuals with medialcompartment knee osteoarthritis and a lateral thrust gait

Hung, Stephen; Shih, Yi Fen; Chiang, Wei-Hsuan; Chen, W.Y.

doi:10.1016/j.physio.2015.03.3448

Cited by 1 publication

(2 citation statements)

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“…The significance of the CC axis acceleration can be justified biomechanically by its direct relationship with stance phase knee joint compression forces, to which patients with knee OA or pre-OA are likely to be sensitive. In another study, Hung et al observed higher tibial vertical acceleration in medial knee OA patients than age-matched controls, suggesting a more considerable ground impact on the knee joint [34]. They also observed significantly higher vertical acceleration differences between the tibia and femur in the patients compared to the control group, indicating a more significant kinetic moment between the segments, parallel to the clinical observation of the lateral thrust gait [34].…”

Section: Discussionmentioning

confidence: 89%

“…In another study, Hung et al observed higher tibial vertical acceleration in medial knee OA patients than age-matched controls, suggesting a more considerable ground impact on the knee joint [34]. They also observed significantly higher vertical acceleration differences between the tibia and femur in the patients compared to the control group, indicating a more significant kinetic moment between the segments, parallel to the clinical observation of the lateral thrust gait [34]. However, lower trunk-foot acceleration attenuation along the CC axis was observed in another study on an elderly female population without knee OA [35].…”

Section: Discussionmentioning

confidence: 92%

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Accelerations Recorded by Simple Inertial Measurement Units with Low Sampling Frequency Can Differentiate between Individuals with and without Knee Osteoarthritis: Implications for Remote Health Care

Ghaffari

Rasmussen

Kold

et al. 2023

Sensors

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Determining the presence and severity of knee osteoarthritis (OA) is a valuable application of inertial measurement units (IMUs) in the remote monitoring of patients. This study aimed to employ the Fourier representation of IMU signals to differentiate between individuals with and without knee OA. We included 27 patients with unilateral knee osteoarthritis (15 females) and 18 healthy controls (11 females). Gait acceleration signals were recorded during overground walking. We obtained the frequency features of the signals using the Fourier transform. The logistic LASSO regression was employed on the frequency domain features as well as the participant’s age, sex, and BMI to distinguish between the acceleration data from individuals with and without knee OA. The model’s accuracy was estimated by 10-fold cross-validation. The frequency contents of the signals were different between the two groups. The average accuracy of the classification model using the frequency features was 0.91 ± 0.01. The distribution of the selected features in the final model differed between patients with different severity of knee OA. In this study, we demonstrated that using logistic LASSO regression on the Fourier representation of acceleration signals can accurately determine the presence of knee OA.

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Section: Discussionmentioning

confidence: 89%