Use of Motion Capture Technology to Study Extrinsic Laryngeal Muscle Tension and Hyperfunction.

Autor: Hogue S; Department of Computer Science, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, Texas, USA., Guo X; Department of Computer Science, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, Texas, USA., Morrison RA; Department of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA., McDowell S; Department of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA., Shembel AC; Department of Speech, Language, and Hearing, School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, Texas, USA.; Department of Otolaryngology-Head and Neck, Voice Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jazyk: angličtina
Zdroj: The Laryngoscope [Laryngoscope] 2023 Dec; Vol. 133 (12), pp. 3472-3481. Date of Electronic Publication: 2023 Jun 16.
DOI: 10.1002/lary.30829
Abstrakt: Objectives: Patients with primary muscle tension dysphonia (pMTD) commonly report paralaryngeal pain and discomfort, and extrinsic laryngeal muscle (ELM) tension and hyperfunction are commonly implicated. However, quantitative physiological metrics to study ELM movement patterns for the characterization of pMTD diagnosis and monitoring of treatment progress are lacking. The objectives of this study were to validate motion capture (MoCap) technology to study ELM kinematics, determine whether MoCap could distinguish ELM tension and hyperfunction between individuals with and without pMTD, and investigate relationships between common clinical voice metrics and ELM kinematics.
Methods: Thirty subjects (15 with pMTD and 15 controls) were recruited for the study. Sixteen markers were placed on different anatomical landmarks on the chin and anterior neck. Movements across these regions were tracked during four voice and speech tasks using two three-dimensional cameras. Movement displacement and variability were determined based on 16 key-points and 53 edges.
Results: Intraclass correlation coefficients demonstrated high intra- and inter-rater reliability (p's < 0.001). Other than greater movement displacements around the thyrohyoid space during longer phrasing (reading passage, 30-s diadochokinetics) and more movement variability in patients with pMTD, kinematic patterns between groups were similar across the 53 edges for the four voice and speech tasks. There were also no significant correlations between ELM kinematics and standard voice metrics.
Conclusion: Results demonstrate the feasibility and reliability of MoCap for the study of ELM kinematics.
Level of Evidence: 3 Laryngoscope, 133:3472-3481, 2023.
(© 2023 The Authors. The Laryngoscope published by Wiley Periodicals LLC on behalf of The American Laryngological, Rhinological and Otological Society, Inc.)
Databáze: MEDLINE
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