Abstract
Quantitative assessment of gait in patients with Parkinson's disease (PD) is an important step in addressing motor symptoms and improving clinical management. Based on the assessment of only 5 meters of gait with a single body-fixed-sensor placed on the lower back, this study presents a method for the identification of step-by-step kinematic parameters in 14 healthy controls and in 28 patients at early-to-moderate stages of idiopathic PD. Differences between groups in step-by-step kinematic parameters were evaluated to understand gait impairments in the PD group. Moreover, a discriminant model between groups was built from a subset of significant and independent parameters and based on a 10-fold cross-validated model. The discriminant model correctly classified a total of 89.5% participants with four kinematic parameters. The sensitivity of the model was 95.8% and the specificity 78.6%. The results indicate that the proposed method permitted to reasonably recognize idiopathic PD-associated gait from 5-m walking assessments. This motivates further investigation on the clinical utility of short episodes of gait assessment with body-fixed-sensors.
Original language | English |
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Pages (from-to) | 1266-1278 |
Number of pages | 13 |
Journal | Annals of Biomedical Engineering |
Volume | 45 |
Issue number | 5 |
Early online date | 20 Jan 2017 |
DOIs | |
Publication status | Published - May 2017 |
Funding
We thank all the participants of this study for their contribution. This research was performed within the Moving Beyond Industrial Academic Training Network, funded through the European Community's Seventh Framework Program, Marie Curie Actions FP7/2012 (Grant Agreement No. 316639).
Funders | Funder number |
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European Community's Seventh Framework Program | |
Seventh Framework Programme | 316639 |
Marie Curie |
Keywords
- Accelerometers
- Gyroscopes
- Journal Article
- Short gait episodes
- Step-by-step gait analysis