Postural instability is a primary symptom of advanced Parkinson's disease (PD). Falling, and restriction of activity due to postural instability have a major influence on the health and quality of life of individuals with PD. Presently, clinical measurement of postural stability in PD is crude. The purpose of the present study was to assess the ability of static posturography and a time-series analysis technique termed recurrence quantification analysis (RQA) to detect postural instability in PD (Hoehn and Yahr Stage 3 - participants with known postural instability). The results of analyses indicate that the postural sway of participants with PD was more variable than that of elderly, healthy controls. In addition, the spatiotemporal profile of postural sway for PD participants reflected greater regularity and stability. These results suggest that the novel combination of static posturography and RQA may be a suitable testing and evaluation method for detecting postural instability.
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