Lower Extremity Biomechanics and Pathologies

The paper presents an inexpensive optical motion capture system for joint angle measurement, validated against an electrogoniometer and tested in a case study with Ankle Foot Orthoses.

The paper meta-visualizes 985 joint moment datasets to explore hip, knee, and ankle moment-angle and moment-velocity relations in musculoskeletal mechanics.

This study examines how different running shoe stack heights affect running style and stability at various speeds, finding that higher stack heights alter kinematic parameters and stability metrics.

This paper quantifies the energy cost of walking on uneven terrain, showing it increases quadratically with amplitude and cubically with speed.

This study quantifies how longitudinal bending stiffness and midsole foam affect running economy, finding similar improvements from a carbon fiber plate or PEBA foam.

This study examines how 8 weeks of training in advanced footwear technology (AFT) affects running economy and biomechanics, finding that AFT training increases metabolic benefits and alters joint mechanics.

This paper describes modifications to a split-belt instrumented treadmill to enable use on uneven terrain, demonstrating accurate ground reaction force measurements.

This study investigates how mechanical factors during walking shape vertical ground reaction force (vGRF) profiles, finding that asymmetry in step-transition work influences vGRF morphology and introducing a new metric to assess gait efficiency.

This paper introduces a modified definition of center-of-mass energy recovery in human walking, showing it decreases with speed and is influenced by dissipation and muscle work.

The paper presents a simplified method for calibrating instrumented treadmills using an instrumented pole with reduced force requirements, achieving high accuracy in ground reaction force measurements.

This study examines how experimental knee pain affects locomotor biomechanics during walking, finding changes in knee flexion angles and reduced joint stiffness with increasing pain intensity.

This study quantifies how biomechanical inverse dynamics analysis is highly sensitive to temporal mis-synchronization in data, showing significant errors in joint moments and powers with even small delays.

This study compares multisegmented foot models to determine if they yield consistent joint kinematic and kinetic data, finding significant variability based on segment definitions.

This study examines how human runners maintain stability on uneven terrain by analyzing their kinematics, energetics, and stepping patterns, finding that leg compliance, not precise foot placement, ensures stability.

The paper estimates the energetic cost of human running and finds that active muscle work accounts for most of the cost, even when considering passive elastic contributions.

FootNet is a deep learning algorithm that improves foot-strike and toe-off detection in treadmill running without force data, outperforming existing methods across various running conditions.

This study uses principal component analysis to examine arm-swing asymmetry in healthy adults during slow walking, finding a relationship between arm-swing dominance and lower-limb mechanical work asymmetry.

This study examines how different arm swing amplitudes affect the cost of transport during walking, finding that excessive arm swing does not further reduce energy costs.