In this paper, we focus on the Gait Analysis (GA) for patients affected by Parkinson's Disease (PD) using a wireless Body Sensor Network (BSN) equipped with Inertial Measurement Units (IMUs). We estimate spatio-temporal parameters and other kinematic variables to characterize the gait, in both Parkinsonians and healthy people. Gait features are compared with scores assigned by neurologists within the Unified Parkinson's Disease Rating Scale (UPDRS), with the ultimate goal of automatically determining the UPDRS score of the Gait Task (GT) carried out by Parkinsonians. Preliminary results show a high correlation between a few gait parameters (such as double support, stride length, and thigh range of rotation) and UPDRS scores.
['Federico Parisi', 'Gianluigi Ferrari', 'Matteo Giuberti', 'Laura Contin', 'Veronica Cimolin', 'Corrado Azzaro', 'Giovanni Albani', 'Alessandro Mauro']
Low-complexity inertial sensor-based characterization of the UPDRS score in the gait task of Parkinsonians