Biomechanics Research

KEY FINDING: Proper transfer skills are linked to the magnitude and timing of joint moments in the upper limbs, with specific skills targeting the trailing arm associated with lower moments at the shoulder and elbow.

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

KEY FINDING: The Lokomat and Armeo devices are the most frequently used R-AMA tools for gait/balance and upper limb rehabilitation, respectively.