The mean and ±1 STD waveforms of 30 non-pathological (NP) and 30 osteoarthritic (OA) subjects are plotted for individual reconstructions of the first three principal components (PC1-3). The exemplar waveforms and intended to demonstrate how different PCs represent different modes of variation across the waveforms. For example, PC1 reconstructs variation in magnitude of knee flexion during stance phase which isn’t discriminatory of OA gait. The reconstruction using PC2 highlights that this component represents changes in range of motion throughout the stance phase of gait, which is related to a reduced and delayed peak knee flexion during swing phase. The third PC reconstructs only 13% of variance of all the waveforms–primarily representing ...
Principal component analysis (PCA) has been used as a post-hoc method for reducing knee crosstalk er...
Trunk lean over the stance limb during gait has been linked to a reduction in the knee adduction mom...
In gait analysis, the accuracy of knee joint angles and moments is critical for clinical decision-ma...
<p>The solid grey line indicates normal values. Loading vectors for the principal components: PC1 (s...
This study compared the gait of 10 subjects with unilateral anterior cruciate ligament (ACL) reconst...
For a successful completion of a movement task the motor control system has to observe a multitude o...
The purpose of this study was to identify meaningful gait patterns in knee frontal plane kinematics ...
This paper presents an application of Functional Principal Component Analysis (FPCA) to describe in...
This study aimed at understanding whether principal component analysis (PCA) may be useful to charac...
The electromyographic (EMG) signal is known to show large intra-subject and inter-subject variabilit...
The electromyographic (EMG) signal is known to show large intra-subject and inter-subject variabilit...
Interpreting gait data is challenging due to intersubject variability observed in the gait pattern o...
<p>The solid grey line indicates normal values. Loading vectors for the principal components, PC1 (s...
<p>Frontal and sagittal kinematic waveforms for the hip, knee, and ankle of High-Responders (green),...
In 3D gait analysis, the knee joint is usually described by the Eulerian way. It consists in breakin...
Principal component analysis (PCA) has been used as a post-hoc method for reducing knee crosstalk er...
Trunk lean over the stance limb during gait has been linked to a reduction in the knee adduction mom...
In gait analysis, the accuracy of knee joint angles and moments is critical for clinical decision-ma...
<p>The solid grey line indicates normal values. Loading vectors for the principal components: PC1 (s...
This study compared the gait of 10 subjects with unilateral anterior cruciate ligament (ACL) reconst...
For a successful completion of a movement task the motor control system has to observe a multitude o...
The purpose of this study was to identify meaningful gait patterns in knee frontal plane kinematics ...
This paper presents an application of Functional Principal Component Analysis (FPCA) to describe in...
This study aimed at understanding whether principal component analysis (PCA) may be useful to charac...
The electromyographic (EMG) signal is known to show large intra-subject and inter-subject variabilit...
The electromyographic (EMG) signal is known to show large intra-subject and inter-subject variabilit...
Interpreting gait data is challenging due to intersubject variability observed in the gait pattern o...
<p>The solid grey line indicates normal values. Loading vectors for the principal components, PC1 (s...
<p>Frontal and sagittal kinematic waveforms for the hip, knee, and ankle of High-Responders (green),...
In 3D gait analysis, the knee joint is usually described by the Eulerian way. It consists in breakin...
Principal component analysis (PCA) has been used as a post-hoc method for reducing knee crosstalk er...
Trunk lean over the stance limb during gait has been linked to a reduction in the knee adduction mom...
In gait analysis, the accuracy of knee joint angles and moments is critical for clinical decision-ma...