Recurrence Quantification Analysis on Gait Reaction Forces of Elderly Adults for Determination of Pathological States

Year 2018, , 309 - 314, 30.09.2018

Özgür Afşar

https://doi.org/10.18466/cbayarfbe.428648

Cited By: 1

Abstract

A better classification between patients with
parkinson disease and healthy adults is of great importance for clinicians and
directly affects the selection of treatment method, the adjustment of
medication dose, or even the decision about a dopaminergic therapy. Clinicians
widely use semi-objective/subjective assessments in order to be able to differ
patients from healthy adults. Here, to make an objective classification between
two distinct groups (healthy/patient), we apply a powerful method, recurrence
quantification analysis, on data including trajectory behavior of gait reaction
forces with long length collected from elderly patients with Parkinson disease
and healthy adults as they walk. We show that the complexity measures of the
quantification analysis, determinism, entropy and divergence, behave different
for two distinct groups (healthy/patients) and may be used for an objective
classification.

Keywords

Complexity measures, Recurrence Plot, Gait Reaction Force, Parkinson Disease

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