Biomechanics Research

KEY FINDING: OMGait can measure hip, knee, and ankle joint kinematics with relatively good accuracy using a common mobile phone camera and a personal computer using OpenPose.

KEY FINDING: A single-layer neural network with 25 neurons achieved the best performance among five classifiers tested.

KEY FINDING: The Team Kinesiology Model improves patient health and quality of life.

KEY FINDING: Wheelchair users turn approximately 900 times per day, indicating that changing direction is a fundamental aspect of wheelchair use.

KEY FINDING: The GDI was normally distributed across all WISCI II levels in both iSCI and HV groups.

KEY FINDING: Clinical data collected before motor nerve block was not associated with instrumental data to assess calf muscle’s overactivity and tibialis anterior function.

KEY FINDING: A 21-feature basis is necessary to account for most of the variance in gait patterns in the SCI population and to provide high-quality reconstructions of the gait curves.

KEY FINDING: IPA was significantly correlated to the clinical manifestations of PD patients, including MDS-UPDRS scores, PDQ-39, and BBS.

KEY FINDING: Using low gear decreased propulsion speed compared to standard gear.

KEY FINDING: Two independent groups identified the Gait Assessment and Intervention Tool (G.A.I.T.) as the most suitable scale for both research and clinical practice compared to other observational gait scales.