Automatic Estimation of Laryngeal Vestibule Closure Duration Using High- Resolution Cervical Auscultation Signals.

Aliaa SabryAmanda S MahoneyShitong MaoYassin KhalifaErvin SejdićJames L Coyle

Published in: Perspectives of the ASHA special interest groups (2020)

This study found that HRCA signal analysis using advanced machine learning techniques can effectively predict laryngeal vestibule status (closure or opening) and further estimate LVC duration. HRCA is potentially a noninvasive tool to estimate LVC duration for diagnostic and biofeedback purposes without X-ray imaging.

Keyphrases

high resolution
machine learning
deep learning
mass spectrometry
artificial intelligence
magnetic resonance imaging
computed tomography
high speed