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.
| Original language | English |
|---|---|
| Title of host publication | BODYNETS 2014 - 9th International Conference on Body Area Networks |
| Publisher | ICST |
| Pages | 69-75 |
| Number of pages | 7 |
| ISBN (Print) | 9781631900471 |
| DOIs | |
| Publication status | Published - Nov 21 2014 |
| Event | 9th International Conference on Body Area Networks, BODYNETS 2014 - London, United Kingdom Duration: Sep 29 2014 → Oct 1 2014 |
Other
| Other | 9th International Conference on Body Area Networks, BODYNETS 2014 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 9/29/14 → 10/1/14 |
Keywords
- Gait Analysis (GA)
- Inertial measurement unit (IMU)
- Parkinson's disease
- Unified Parkinson's Disease Rating Scale (UPDRS)
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications