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.

Low-complexity inertial sensor-based characterization of the UPDRS score in the gait task of parkinsonians / Parisi, Federico; Ferrari, Gianluigi; Giuberti, Matteo; Contin, Laura; Cimolin, Veronica; Azzaro, Corrado; Albani, Giovanni; Mauro, Alessandro. - (2014), pp. 69-75. ((Intervento presentato al convegno 9th International Conference on Body Area Networks, BODYNETS 2014 tenutosi a London, Great Britain nel 2014 [10.4108/icst.bodynets.2014.257054].

Low-complexity inertial sensor-based characterization of the UPDRS score in the gait task of parkinsonians

PARISI, Federico;FERRARI, Gianluigi;GIUBERTI, Matteo;
2014

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.
9781631900471
9781631900471
Low-complexity inertial sensor-based characterization of the UPDRS score in the gait task of parkinsonians / Parisi, Federico; Ferrari, Gianluigi; Giuberti, Matteo; Contin, Laura; Cimolin, Veronica; Azzaro, Corrado; Albani, Giovanni; Mauro, Alessandro. - (2014), pp. 69-75. ((Intervento presentato al convegno 9th International Conference on Body Area Networks, BODYNETS 2014 tenutosi a London, Great Britain nel 2014 [10.4108/icst.bodynets.2014.257054].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2799763
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