Optimized Nonlinear Dynamic Analysis of Pathologic Voices With Laryngeal Paralysis Based on the Minimum Embedding Dimension.

Objective: The present study aims to compare the correlation dimension and second-order entropy at the minimum embedding dimension with the correlation dimension (D) and second-order entropy (K) based on their efficiency and accuracy in differentiating between normal and pathologic voices.

Methods: The minimum embedding dimension was estimated with the Cao method. Nonlinear dynamic parameters, such as correlation dimension and second-order entropy, were used to quantitatively analyze the normal and pathologic voice samples.

Quantifying the Subharmonic Mucosal Wave in Excised Larynges via Digital Kymography.

Objectives: In this paper, a nonlinear least squares fitting method was proposed to quantify subharmonic mucosal waves.

Study Design And Methods: Subharmonic mucosal waves from 10 excised canine larynges were recorded using digital kymography and analyzed using nonlinear least squares and linear least squares methods. Amplitudes of fundamental and subharmonic mucosal wave components of right-upper, right-lower, left-upper, and left-lower vocal fold lips were calculated.