Biomechanics Research

KEY FINDING: The reduced SCI-GDI (rSCI-GDI) effectively represents gait variability of adults with SCI as does the SCI-GDI.

KEY FINDING: Clustering resulted in 4 groups of patients that were compared to each other and to the healthy controls.

KEY FINDING: Human-in-the-loop optimization led to muscle activity reduction of 33.56% and 41.81% at most when compared to walking without and with the hip exoskeleton, respectively.

KEY FINDING: Applying a lateral force to the pelvis during the affected stance phase significantly improved the lateral symmetry of the center of pressure (COP) trajectory.

KEY FINDING: Applying a downward force on the pelvis during walking leads to narrower strides and increased overall foot loading, suggesting changes in gait stability.

KEY FINDING: Marker-based motion analysis is valuable in objectively assessing gait patterns and quality in patients with incomplete spinal cord injuries.

KEY FINDING: The AAN controller is usable across different injury severity levels in patients with spinal cord injury, showing feasibility.

KEY FINDING: Errors were identified in Table 3 of the original publication regarding correlation analysis between gait parameters and clinical measures in Parkinson's Disease.

KEY FINDING: Articular discomfort increases during slope propulsion, with the shoulder, elbow, and wrist being most affected due to increased kinetics.

KEY FINDING: The 3D reaching trajectories of the C3-4 group was unstable with higher variability.