J. Nantel

Smartwatch-based prediction of single-stride and stride-to-stride gait outcomes using regression-based machine learning

This study uses a smartwatch IMU and machine learning to predict single-stride and stride-to-stride gait outcomes with high accuracy.

Interlimb coordination in Parkinson's disease is minimally affected by a visuospatial dual task

This study examines how a visuospatial dual task affects interlimb coordination in Parkinson's disease patients during walking, finding minimal impact on coordination between limbs.

Validity and sensitivity of an inertial measurement unit-driven biomechanical model of motor variability for gait

This study evaluates the validity and sensitivity of an IMU-driven biomechanical model for assessing gait motor variability in healthy adults.

Effects of arm swing amplitude and lower limb asymmetry on motor variability patterns during treadmill gait

This study examines how arm swing amplitude and lower limb asymmetry affect motor variability during treadmill walking, finding specific impacts on joint angles and stability.

Sensitivity of discrete symmetry metrics: implications for metric choice

This study evaluates the sensitivity of discrete symmetry metrics to detect asymmetry effects, finding that some metrics are more sensitive than others, with bilateral differences being the most sensitive.