Abstract
Objectives
The Nyquist plot provides a graphical representation of the glottal cycles as elliptical
trajectories in a 2D plane. This study proposes a methodology to parameterize the
Nyquist plot with application to support the quantitative analysis of voice disorders.
Methods
We considered high-speed videoendoscopy recordings of 33 functional dysphonia (FD)
patients and 33 normophonic controls (NC). Quantitative analysis was performed by
computing four shape-based parameters from the Nyquist plot: Variability, Size (Perimeter
and Area), and Consistency. Additionally, we performed automatic classification using
a linear support vector machine and feature importance analysis by combining the proposed
features with state-of-the-art glottal area waveform (GAW) parameters.
Results
We found that the inter-cycle variability was significantly higher in FD patients
compared to NC. We achieved a classification accuracy of 83 when the top 30 most important features were used. Furthermore, the proposed Nyquist
plot features were ranked in the top 12 most important features.
Conclusions
The Nyquist plot provides complementary information for subjective and objective assessment
of voice disorders. On the one hand, with visual inspection it is possible to observe
intra- and inter-glottal cycle irregularities during sustained phonation. On the other
hand, shaped-based parameters allow quantifying such irregularities and provide complementary
information to state-of-the-art GAW parameters.
Key Words
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Article info
Publication history
Published online: February 09, 2023
Accepted:
January 12,
2023
Publication stage
In Press Corrected ProofIdentification
Copyright
© 2023 The Voice Foundation. Published by Elsevier Inc. All rights reserved.
