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

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

References

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