Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps

Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps

This study presents a data-driven approach to identifying anomaly-sensitive parameters through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies under consideration include a pharyngeal model with three levels of constriction (M1, M2, M3) and a flapping uvula with two...

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Bibliographic Details
Main Authors: Xiuhua Si, Junshi Wang, Haibo Dong, Jinxiang Xi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Acoustics
Subjects:
uvula kinematics
pharynx collapse
principal component analysis
wavelet analysis
multifractal spectrum
scalogram
Online Access:https://www.mdpi.com/2624-599X/5/4/60

Internet

https://www.mdpi.com/2624-599X/5/4/60

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