Using a parameter of black box model for gait as a criterion to differentiate between parkinson disease & healthy states

Parkinsonian patients mostly show some movement disorders. Gait disorder is one of the cardinal ones of them. In this study, we have paid attention to gait and presented a black box model for producing stride time series. We tried to present a model on the basis of a chaotic relation for normal and PD persons. Since gait is semi-periodic and has fractal properties, we used sine circle map relation. It is possible to suppose similarities between the parameters of this relation and BG structure. Therefore, this relation can explain the complex behaviours and complex structure of BG. The presented model can simulate globally the BG behaviour. Ω parameter of the model has a key role in the model response. It is the main factor which determines that the model is representing a normal person or a PD patient. Our statistical tests show that there is significant difference between the Ω of normal and PD patients. We conclude that Ω can be introduced as a parameter to distinguish normal and PD persons.