Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal Folds
Arias Vergara T, Döllinger M, Schraut T, Mohd Khairuddin KA, Schützenberger A (2023)
Publication Type: Journal article
Publication year: 2023
Journal
DOI: 10.1016/j.jvoice.2023.01.014
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.
Authors with CRIS profile
Tomás Arias Vergara
Lehrstuhl für Informatik 5 (Mustererkennung)
Michael Döllinger
Professur für Computational Medicine (DFG-Forschungsprofessur)
Tobias Schraut
Lehrstuhl für Hals-, Nasen- und Ohrenheilkunde
Anne Schützenberger
Professur für Phoniatrie und Pädaudiologie
Related research project(s)
Deep learning networks for quantitative evaluation of organic voice disorders and their treatment (DO 1247/21-1; SCHU 3441/4-1)
Aug. 1, 2022 - July 31, 2025
Objective analysis of functional based hoarseness by clinical high-speed endoscopy (DO 1247/8-1/2)
Sept. 28, 2016 - Feb. 15, 2024
Involved external institutions
Malaysia (MY)How to cite
APA:
Arias Vergara, T., Döllinger, M., Schraut, T., Mohd Khairuddin, K.A., & Schützenberger, A. (2023). Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal Folds. Journal of Voice. https://dx.doi.org/10.1016/j.jvoice.2023.01.014
MLA:
Arias Vergara, Tomás, et al. "Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal Folds." Journal of Voice (2023).
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