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Research Article
14 September 2021

Characterizing Swallows From People With Neurodegenerative Diseases Using High-Resolution Cervical Auscultation Signals and Temporal and Spatial Swallow Kinematic Measurements

Publication: Journal of Speech, Language, and Hearing Research
Volume 64, Number 9
Pages 3416-3431

Abstract

Purpose

The prevalence of dysphagia in patients with neurodegenerative diseases (ND) is alarmingly high and frequently results in morbidity and accelerated mortality due to subsequent adverse events (e.g., aspiration pneumonia). Swallowing in patients with ND should be continuously monitored due to the progressive disease nature. Access to instrumental swallow evaluations can be challenging, and limited studies have quantified changes in temporal/spatial swallow kinematic measures in patients with ND. High-resolution cervical auscultation (HRCA), a dysphagia screening method, has accurately differentiated between safe and unsafe swallows, identified swallow kinematic events (e.g., laryngeal vestibule closure [LVC]), and classified swallows between healthy adults and patients with ND. This study aimed to (a) compare temporal/spatial swallow kinematic measures between patients with ND and healthy adults and (b) investigate HRCA's ability to annotate swallow kinematic events in patients with ND. We hypothesized there would be significant differences in temporal/spatial swallow measurements between groups and that HRCA would accurately annotate swallow kinematic events in patients with ND.

Method

Participants underwent videofluoroscopic swallowing studies with concurrent HRCA. We used linear mixed models to compare temporal/spatial swallow measurements (n = 170 ND patient swallows, n = 171 healthy adult swallows) and deep learning machine-learning algorithms to annotate specific temporal and spatial kinematic events in swallows from patients with ND.

Results

Differences (p < .05) were found between groups for several temporal and spatial swallow kinematic measures. HRCA signal features were used as input to machine-learning algorithms and annotated upper esophageal sphincter (UES) opening, UES closure, LVC, laryngeal vestibule reopening, and hyoid bone displacement with 66.25%, 85%, 68.18%, 70.45%, and 44.6% accuracy, respectively, compared to human judges' measurements.

Conclusion

This study demonstrates HRCA's potential in characterizing swallow function in patients with ND and other patient populations.

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Information & Authors

Information

Published In

Journal of Speech, Language, and Hearing Research
Volume 64Number 9September 2021
Pages: 3416-3431
PubMed: 34428093

History

  • Received: Mar 9, 2021
  • Revised: Apr 21, 2021
  • Accepted: May 21, 2021
  • Published online: Aug 24, 2021
  • Published in issue: Sep 14, 2021

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Authors

Affiliations

Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, PA
Yassin Khalifa
Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA
Shitong Mao
Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA
Subashan Perera
Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, PA
Ervin Sejdić
Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, PA
Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, PA
Department of Biomedical Informatics, University of Pittsburgh School of Medicine, PA
Intelligent Systems Program, School of Computing and Information, University of Pittsburgh, PA
Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, PA
Department of Otolaryngology, School of Medicine, University of Pittsburgh Medical Center, PA

Notes

Disclosure: The authors have declared that no competing financial or nonfinancial interests existed at the time of publication.
Correspondence to Cara Donohue: [email protected]
Editor: Michelle Ciucci

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  • Current Technological Advances in Dysphagia Screening: A Systematic Scoping Review (Preprint), Journal of Medical Internet Research, 10.2196/65551, (2024).
  • Towards a comprehensive bedside swallow screening protocol using cross-domain transformation and high-resolution cervical auscultation, Artificial Intelligence in Medicine, 10.1016/j.artmed.2024.102921, 154, (102921), (2024).
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  • A review on intelligent aid diagnosis for dysphagia using swallowing sounds, Interdisciplinary Nursing Research, 10.1097/NR9.0000000000000040, 2, 4, (250-256), (2023).
  • Research on a real-time dynamic monitoring method for silent aspiration after stroke based on semisupervised deep learning: A protocol study, DIGITAL HEALTH, 10.1177/20552076231183548, 9, (2023).
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  • A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows, IEEE Journal of Translational Engineering in Health and Medicine, 10.1109/JTEHM.2021.3134926, 10, (1-9), (2022).

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