FEATURE SELECTION FOR THE INSTRUMENTED TIMED UP AND GO IN PARKINSON’S DISEASE

L. Palmerini, L. Rocchi, S. Mellone, L. Chiari, F. Valzania

2010

Abstract

The Timed Up and Go (TUG) is a widely used clinical test to assess mobility and fall risk in Parkinson’s disease (PD). The traditional outcome of this test is its duration. Since this single measure cannot provide insight on subtle differences in test performances, we considered an instrumented TUG (iTUG). The aim was to find, by means of a feature selection, the best set of quantitative measures that would allow an objective evaluation of gait function in PD. We instrumented the TUG using a triaxial accelerometer. Twenty early-mild PD and twenty age-matched control subjects performed normal and dual task TUG trials. Several temporal, coordination and smoothness measures were extracted from the acceleration signals; a wrapper feature selection was implemented for different classifiers with an exhaustive search for subsets from 1 to 3 features. A leave-one-out cross validation (LOOCV) was implemented both for the feature selection and for the evaluation of the classifier, resulting in a nested LOOCV. The resulting selected features permit to obtain a good accuracy (7.5% of misclassification rate) in the classification of PD. Interestingly the traditional TUG duration was not selected in any of the best subsets.

Paper Citation

in Harvard Style

Palmerini L., Rocchi L., Mellone S., Chiari L. and Valzania F. (2010). FEATURE SELECTION FOR THE INSTRUMENTED TIMED UP AND GO IN PARKINSON’S DISEASE . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 95-99. DOI: 10.5220/0003100400950099

in Bibtex Style

@conference{kdir10,
author={L. Palmerini and L. Rocchi and S. Mellone and L. Chiari and F. Valzania},
title={FEATURE SELECTION FOR THE INSTRUMENTED TIMED UP AND GO IN PARKINSON’S DISEASE},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={95-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003100400950099},
isbn={978-989-8425-28-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - FEATURE SELECTION FOR THE INSTRUMENTED TIMED UP AND GO IN PARKINSON’S DISEASE
SN - 978-989-8425-28-7
AU - Palmerini L.
AU - Rocchi L.
AU - Mellone S.
AU - Chiari L.
AU - Valzania F.
PY - 2010
SP - 95
EP - 99
DO - 10.5220/0003100400950099