Neurological diseases differentiation analysis using inertial measurement units

Abstract

Human gait is cyclic process, which is affected by various neurological disorders like Parkinson’s disease (PD) or multiple sclerosis (MS). Instrumented gait analy sis facilitate monitoring and diagnosing motor deficiencies; it ma y serve as a tool for clinicians evaluating the patients. This study aims at finding biomechanical parameters that allow separat ing pathological gaits via application of inertial sensors to capture the gait. The experiment involved 33 subjects divid ed in three groups PD, MS and healthy controls (CO). The analys is showed the statistically significant difference bet ween stride time of the right leg in MS and CO groups, left str ide time between PD and CO, stance time difference between P D and CO group, right and left leg. Hip flexion and exten sions amplitudes difference was between CO and PD group, left hip flexion and extension.