<p><b>Copyright information:</b></p><p>Taken from "Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection"</p><p>http://www.biomedical-engineering-online.com/content/6/1/23</p><p>BioMedical Engineering OnLine 2007;6():23-23.</p><p>Published online 26 Jun 2007</p><p>PMCID:PMC1913514.</p><p></p>base. (a) Normal voice (GPG1NAL) signal, (c) disordered voice (RWR14AN). Discrete-time signals shown over a limited range of for clarity. (b) Logarithm of scaling window sizes against the logarithm of fluctuation size () for normal voice in (a). (d) Logarithm of scaling window sizes against the logarithm of fluctuation size () for disordered voice in (b). The values of ranged from = 50 to = 100 in steps of five. In (b) and (d), the dotted line is the straight-line fit to the logarithms of the values of and () (black dots). The values of and the normalised version show an increase for the disordered voice
