Biomechanics Research

KEY FINDING: Quadratic models based on walking speed had the strongest correlations with sagittal kinematic and kinetic gait parameters, with kinetic parameters having the better results.

KEY FINDING: Participants decreased push frequency and increased contact angle after the practice sessions.

KEY FINDING: Controls proportionally adjusted temporal parameters, single joint trajectories, and intralimb coordination to unloading levels, while spatial parameters were unaffected.

KEY FINDING: SCI patients exhibited slower walking speeds, longer stride and stance times, and shorter stride lengths compared to healthy subjects.

KEY FINDING: Participants with iSCI showed decreased COM movement variability with practice, indicating improved motor control during transitions.

KEY FINDING: Both monitors demonstrated significantly different increasing physical activity levels with higher intensity tasks.

KEY FINDING: The study found that the average peak narrowing of the spinal canal and intervertebral foramen was not statistically different between the WHIPS, AHR, and NHR conditions.

KEY FINDING: High inter- and intra-session reliability were found for most kinematic gait variables, indicating small intrinsic variation of gait.

KEY FINDING: Patients with paresis can achieve continuous voluntary control of robotic exoskeletons using the developed EMG-driven musculoskeletal model-based HMI, even with paretic and spastic-like muscle activity.

KEY FINDING: Both groups reduced error and variability, but the experimental group showed potential benefits for spatial consistency and velocity accuracy.