Natalia Sánchez

This study investigates how information about task duration affects adaptation and retention of walking patterns during split-belt walking, finding that it influences metabolic cost and aftereffect retention.

This paper identifies distinct subtypes of post-stroke and neurotypical gait behaviors using neural network analysis of kinematic time series data, revealing five clusters with unique kinematic patterns.

The paper identifies and generalizes walking impairment clusters in stroke survivors and controls using spatiotemporal and force data across multiple sites.

This study examines how habitual exercise affects gait adaptation during split-belt treadmill walking, finding that regular exercisers adapt faster and more persistently to movement perturbations.

This study shows that people adapt their walking strategy over prolonged split-belt treadmill use to reduce energy cost by acquiring positive work from the treadmill.

This study shows that split-belt treadmill walking adaptation involves adjusting step length asymmetry to extract mechanical work from the treadmill, reducing metabolic cost and improving walking economy.