Learning of Metrics and Measurement Systems for Ambulatory Evaluation of Gait in Incomplete Spinal Cord Injured Individuals

A Spinal Cord Injury (SCI) has a long-term effect on gait. Especially in incomplete SCI, gait improvement directly correlates with better community integration and life satisfaction. Rehabilitation, therefore, primarily focuses on regaining ambulatory function.

Gait is solely evaluated in an inpatient hospital setting, a highly controlled environment. Only a fraction of the gait and environmental interaction ability is observed. We utilize unobtrusive measurement systems and machine learning algorithms to monitor the ambulatory ability of persons with SCI in real-world conditions. Our research shall inform clinical decision-making and personalize the rehabilitation process.