Knee joint sounds contain information on joint health, morphology and loading. These acoustic signals may be elicited by further, as yet unknown factors. By assessing potential elicitors and their relative contributions to the acoustic signal, we investigated the validity of vibroarthrographic assessments during different movement conditions with the aim to derive recommendations for their practical usage. Cross-sectional study. Nineteen healthy participants (24.7 ± 2.8 yrs, 7 females) performed five movements: level walking, descending stairs, standing-up, sitting down, and forward lunge. Knee joint sounds were recorded by two microphones (medial tibial plateau, patella). Knee joint kinematics and ground reaction forces were recorded synchronously to calculate knee joint moments (Nm/Kg). The mean amplitude (dB) and the median power frequency (Hz) were determined. A repeated measures mixed model investigated the impact of potential predictors (sagittal-, frontal-, transverse-plane and total knee joint moments, knee angular velocity, age, sex, body mass index (BMI) and Tegner Activity Score (TAS)). Most of the amplitudes variance is explained by between-subject differences (tibia: 66.6%; patella: 75.8%), and of the median power frequencies variance by the movement condition (tibia: 97.6%; patella: 89.9%). The final model revealed several predictor variables for both sensors (tibia: sagittal-plane, frontal-plane, and total knee joint moments, age, and TAS; patella: sagittal-plane knee moments, knee angular velocity, TAS). The standardization of the execution of the activities, a between-group matching of variables and the inclusion of co-variates are recommended to increase the validity of vibroarthrographic measurements during different movement conditions of the knee joint.

膝关节声音包含有关关节健康，形态和负荷的信息。这些声音信号可能是由其他未知因素引起的。通过评估潜在的激发子及其对声信号的相对贡献，我们研究了在不同运动条件下进行的肺动脉造影评估的有效性，旨在为其实用性提出建议。横断面研究。19名健康参与者（24.7±2.8岁，7名女性）进行了五项动作：水平行走，下楼梯，站立，坐下和向前弓步。用两个麦克风（胫骨内侧平台，骨）记录膝关节的声音。同步记录膝关节运动学和地面反作用力，以计算膝关节力矩（Nm / Kg）。确定了平均幅度（dB）和中值功率频率（Hz）。重复测量混合模型调查了潜在预测因素（矢状面，额叶，横平面和总膝关节力矩，膝关节角速度，年龄，性别，体重指数（BMI）和泰格纳活动评分（TAS））的影响。幅度变化的大部分由受试者之间的差异（胫骨：66.6％；骨：75.8％）和运动频率的中位功率频率差异（胫骨：97.6％；骨：89.9％）解释。最终模型显示了两个传感器的几个预测变量（胫骨：矢状面，额面和总膝关节力矩，年龄和TAS；骨：矢状面膝矩，膝盖角速度，TAS）。活动执行的标准化，