Effect of the conventional gait model 2 variants on lower-limb kinematics in individuals with cerebral palsy
Dussault-Picard, c.; Sangeux, M.; Armand, S.; fonseca, m.; Leboeuf, f. N.
Show abstract
BackgroundThree-dimensional gait analysis (3DGA) is widely used to support clinical decision-making in individuals with motor impairments. However, kinematic outputs depend strongly on the underlying biomechanical model. The open-source Conventional Gait Model II (CGM2) integrates updates to joint centre estimation (CGM2.1), inverse kinematics (CGM2.2), and cluster-based segment tracking (CGM2.3). While previous work demonstrated consistency among CGM2 variants in typically developing children, their effect in clinical populations remains unknown. This study quantified how CGM2 variants influence gait kinematics in individuals with cerebral palsy (CP). MethodsTwenty-one individuals with CP (GMFCS I-II) underwent 3DGA using a 12-camera motion capture system and a CGM2.3 marker set. Hip, knee, and ankle kinematics from 487 gait cycles were computed using pyCGM2. Differences between CGM2.1, CGM2.2, and CGM2.3 were evaluated using Mean Absolute Deviation (MAD) and the adjusted coefficient of determination (R2). ResultsOverall, small differences were observed between model variants. MAD values were typically below 5{degrees} for most joints and planes, with high correlation between curves (R2>0.7). Hip rotation showed the largest discrepancies, with maximum MAD up to 7.7{degrees} when comparing CGM2.2 and CGM2.3. Differences between CGM2.1 and CGM2.3 were greater in the transverse and frontal planes but remained within acceptable limits (<5{degrees}), except for hip rotation. ConclusionThe CGM2 variant selection has limited impact on gait kinematics in individuals with CP, and most differences fall within known repeatability error. However, transverse-plane kinematics, particularly hip rotation, should be interpreted with caution when comparing data across CGM2 variants.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- The importance of a consistent workflow to estimate muscle-tendon lengths based on joint angles from the conventional gait model 98%
- Independently ambulatory children with spina bifida experience near-typical joint moments and forces during walking 95%
- Effects of spinal stimulation and short-burst treadmill training on gait biomechanics in children with cerebral palsy 95%
Similar papers in this journal
- Technology-aided assessment of functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals 95%
- Speed-dependent biomechanical changes vary across individual gait metrics post-stroke relative to neurotypical adults 94%
- Longitudinal interaction between muscle impairments and gait pathology in growing children with Duchenne muscular dystrophy 93%
Similar papers in this journal
- Proprioceptive and visual motion detection acuity contribute to children dynamic postural control 96%
- Muscle activity of cutting manoeuvres and soccer inside passing suggests an increased groin injury risk during these movements 95%
- Quantifying mechanical loading and elastic strain energy of the human Achilles tendon during walking and running 94%
Similar papers in this journal
- Repeatability of gait of children with spastic cerebral palsy in different walking conditions 98%
- Validation, characterization, and utility of markerless motion capture in a large cohort of pediatric patients with complex gait patterns 95%
- Inter-session repeatability of markerless motion capture gait kinematics 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.