Movement patterns are different but muscle activations are unchanged in women with patellofemoral pain

Albuquerque Tadeu, Cintia Lopes Ferreira, Juliane Almeida, Barton Gabor, Paulo Lucareli
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Abstract

Patellofemoral pain (PFP) is one of the leading causes of knee pain. Changes in movement patterns and a possible relationship between movement patterns and muscle activation are commonly found in women with PFP [1]. The Movement Deviation Profile (MDP) showed differences in the movement pattern in women with PFP [2], however, to the best of our knowledge, the MDP was not used to differentiate the electromyography of women with and without PFP. This study aimed to verify whether the combined analysis of kinematics and EMG data increases the ability to differentiate between women with and without PFP compared to the independent analysis of kinematics and electromyographic activity. Is there a difference in movement patterns and muscle activation between women with and without PFP? Could the combination of EMG with kinematics data increase the ability to differentiate women with and without PFP? Seventy-one women, 37 with PFP and 34 unimpaired were selected for kinematic and EMG evaluation during the Lateral Step Down (LSD) task. For the 3D kinematics, movements in the sagittal, frontal and transverse planes of the trunk, pelvis and hip were used; sagittal and frontal planes of the knee; ankle sagittal plane; and the transverse plane of the foot in relation to the laboratory. For the EMG, filtered, rectified and smoothed signals from the adductor longus, gluteus medius, vastus lateralis and medialis, rectus femoris, biceps femoris, medial gastrocnemius and tibialis anterior muscles were used, which were normalised in amplitude to the average of the peaks of each cycle of LSD and in time by resampling the EMG envelopes every 1% of the LSD cycle. The MDP, which is a single number measure of movement deviation derived from a multidimensional neural network analysis, was used to analyse kinematics, EMG and kinematics combined with EMG. The Z-score of the MDPmean was calculated to compare the standardised results between women with and without PFP. A multivariate analysis with Bonferroni post-hoc test compared the groups considering p < 0.05. Multivariate analysis showed group interaction (l=0.838; F=4.329; p=0.008). There was a significant difference between groups in the MDPmean Z-Score only for kinematics (0.97). There was no difference between groups for EMG (0.44) and kinematics with EMG (0.39).Download : Download high-res image (117KB)Download : Download full-size image This study corroborates with the literature demonstrating that women with PFP present changes in the movement pattern but not in the amplitude of the electromyography. EMG, even when evaluating with a self-organising neural network (MDP), considering several muscles relevant to PFP, failed to differentiate between women with and without PFP both on its own or combined with kinematics. We conclude that, when using MDP, kinematics is the variable capable of differentiating women with and without PFP during LSD.
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髌骨股痛患者的运动模式不同,但肌肉激活没有变化
髌股疼痛(PFP)是膝关节疼痛的主要原因之一。运动模式的改变以及运动模式与肌肉激活之间的可能关系在PFP女性中很常见[1]。运动偏差谱(MDP)显示了PFP女性运动模式的差异[2],然而,据我们所知,MDP并没有被用来区分有和没有PFP的女性的肌电图。本研究旨在验证与运动学和肌电活动的独立分析相比,运动学和肌电数据的联合分析是否增加了区分有和没有PFP的女性的能力。有和没有PFP的女性在运动模式和肌肉激活上有什么不同吗?肌电图与运动学数据的结合是否能提高区分女性是否患有PFP的能力?选择71名女性,其中37名患有PFP, 34名未受损,在横向降压(LSD)任务中进行运动学和肌电图评估。对于三维运动学,使用躯干,骨盆和髋关节的矢状面,额面和横平面的运动;膝关节的矢状面和额平面;踝关节矢状面;以及脚的横切面与实验室的关系。肌电图使用来自长内收肌、臀中肌、股外侧肌和内侧肌、股直肌、股二头肌、腓肠肌内侧肌和胫前肌的信号进行滤波、整流和平滑处理,将其振幅归一为每个LSD周期峰值的平均值,并通过每1%的LSD周期重新采样肌电包膜及时归一。MDP是一种由多维神经网络分析得出的运动偏差的单数字测量方法,用于分析运动学、肌电图以及运动学与肌电图的结合。计算MDPmean的z分数来比较有PFP和没有PFP的妇女之间的标准化结果。采用Bonferroni事后检验进行多变量分析,考虑p < 0.05。多因素分析显示组间相互作用(l=0.838;F = 4.329;p = 0.008)。组间MDPmean Z-Score仅在运动学方面有显著差异(0.97)。肌电图(0.44)和运动图(0.39)组间无差异。本研究与文献证实,患有PFP的女性在运动模式上有变化,但在肌电图的振幅上没有变化。即使使用自组织神经网络(MDP)进行评估,考虑到与PFP相关的几块肌肉,肌电图也无法单独或结合运动学来区分有和没有PFP的女性。我们得出结论,当使用MDP时,运动学是能够在LSD期间区分有和没有PFP的女性的变量。
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