Characterizing Effortful Swallows from Healthy Community Dwelling Adults Across the Lifespan Using High-Resolution Cervical Auscultation Signals and MBSImP Scores: A ... View Full Text


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Article Info

DATE

2021-09-18

AUTHORS

Cara Donohue, Yassin Khalifa, Subashan Perera, Ervin Sejdić, James L. Coyle

ABSTRACT

There is growing enthusiasm to develop inexpensive, non-invasive, and portable methods that accurately assess swallowing and provide biofeedback during dysphagia treatment. High-resolution cervical auscultation (HRCA), which uses acoustic and vibratory signals from non-invasive sensors attached to the anterior laryngeal framework during swallowing, is a novel method for quantifying swallowing physiology via advanced signal processing and machine learning techniques. HRCA has demonstrated potential as a dysphagia screening method and diagnostic adjunct to VFSSs by determining swallowing safety, annotating swallow kinematic events, and classifying swallows between healthy participants and patients with a high degree of accuracy. However, its feasibility as a non-invasive biofeedback system has not been explored. This study investigated 1. Whether HRCA can accurately differentiate between non-effortful and effortful swallows; 2. Whether differences exist in Modified Barium Swallow Impairment Profile (MBSImP) scores (#9, #11, #14) between non-effortful and effortful swallows. We hypothesized that HRCA would accurately classify non-effortful and effortful swallows and that differences in MBSImP scores would exist between the types of swallows. We analyzed 247 thin liquid 3 mL command swallows (71 effortful) to minimize variation from 36 healthy adults who underwent standardized VFSSs with concurrent HRCA. Results revealed differences (p < 0.05) in 9 HRCA signal features between non-effortful and effortful swallows. Using HRCA signal features as input, decision trees classified swallows with 76% accuracy, 76% sensitivity, and 77% specificity. There were no differences in MBSImP component scores between non-effortful and effortful swallows. While preliminary in nature, this study demonstrates the feasibility/promise of HRCA as a biofeedback method for dysphagia treatment. More... »

PAGES

1-9

References to SciGraph publications

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  • 1994-12. Methodology for detecting swallowing sounds in DYSPHAGIA
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  • 2004-08. Use of Fiberoptic Endoscopic Evaluation of Swallowing (FEES) in Patients with Amyotrophic Lateral Sclerosis in DYSPHAGIA
  • 2008-10-15. MBS Measurement Tool for Swallow Impairment—MBSImp: Establishing a Standard in DYSPHAGIA
  • 2016-06-07. Development of Innovative Feedback Device for Swallowing Therapy in JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
  • 2020-05-17. Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals in DYSPHAGIA
  • 2020-09-05. A Preliminary Investigation of Whether HRCA Signals Can Differentiate Between Swallows from Healthy People and Swallows from People with Neurodegenerative Diseases in DYSPHAGIA
  • 2020-05-26. Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings in SCIENTIFIC REPORTS
  • 2001-08. Videomanometric Analysis of Supraglottic Swallow, Effortful Swallow, and Chin Tuck in Patients with Pharyngeal Dysfunction in DYSPHAGIA
  • 2002-07. Supraglottic Swallow, Effortful Swallow, and Chin Tuck Did Not Alter Hypopharyngeal Intrabolus Pressure in Patients with Pharyngeal Dysfunction in DYSPHAGIA
  • 2020-09-21. How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP? in DYSPHAGIA
  • 2016-09-28. Kinematic Visual Biofeedback Improves Accuracy of Learning a Swallowing Maneuver and Accuracy of Clinician Cues During Training in DYSPHAGIA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00455-021-10368-3

    DOI

    http://dx.doi.org/10.1007/s00455-021-10368-3

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34537905


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