We develop techniques and principles that enhance our ability to personalize gait rehabilitation.
We do this by uncovering the neuromechanical processes driving individual-specific responses to gait rehabilitation through integrated experiments, neuromechanical modeling, and machine learning.
Mission
The GNRL is committed to advancing our ability to characterize gait impairments and personalize gait rehabilitation.
Our perspective
Uncovering the neuromechanical processes that drive individual differences in responses to gait rehabilitation requires the integration of experiments that challenge specific neural or biomechanical deficits with models that encode these processes. This integration supports both scientific discovery and engineering approaches to personalizing rehabilitation.
Our impact
We aim to make discoveries that inform rehabilitation across patient populations, supporting people with biomechanical, motor, or cognitive impairments.
We aim to adapt our technological innovations to enhance access to data-informed rehabilitation. Our techniques may be expanded study and enhance human performance across ability levels and movement contexts.