Research Article
Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians
@INPROCEEDINGS{10.4108/icst.bodynets.2014.257054, author={Federico Parisi and Matteo Giuberti and Gianluigi Ferrari and Laura Contin and Veronica Cimolin and Corrado Azzaro and Giovanni Albani and Alessandro Mauro}, title={Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians}, proceedings={9th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2014}, month={11}, keywords={parkinson's disease gait analysis (ga) inertial measurement unit (imu) unified parkinson's disease rating scale (updrs)}, doi={10.4108/icst.bodynets.2014.257054} }- Federico Parisi
Matteo Giuberti
Gianluigi Ferrari
Laura Contin
Veronica Cimolin
Corrado Azzaro
Giovanni Albani
Alessandro Mauro
Year: 2014
Low-Complexity Inertial Sensor-based Characterization of the UPDRS Score in the Gait Task of Parkinsonians
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2014.257054
Abstract
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.
