Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis

—Gait assessment is a common method for diagnosing various diseases, disorders, and injuries, studying their impact on mobility, and evaluating the efficacy of various therapeutic interventions. The recent emergence of inertial body sensors for gait assessment addresses the limitations of visual observation and subjective clinical evaluation by providing more precise and objective measures. Inertial sensors have been included in an ongoing study at the University of Virginia Medical Center on Multiple Sclerosis (MS), a chronic autoimmune disorder of the central nervous system (CNS) that produces neurologic impairment and functional disability over time, with the goal of improving the ability to assess MS-affected gait and to distinguish between subjects with MS and those without MS. This work presents a gait assessment technique based on causal modeling to distinguish MS-affected gait and healthy gait. The approach in this work is based on the hypothesis that the strength of interact...

• Type: Journal
• Year: 2015
• Where: BSN
• Authors: Jiaqi Gong, John Lach, Yanjun Qi, Myla D. Goldman
• Keywords: BSN 2015, Sensor Networks