Literature DB >> 30071198

Detection of Swallow Kinematic Events From Acoustic High-Resolution Cervical Auscultation Signals in Patients With Stroke.

Atsuko Kurosu1, James L Coyle2, Joshua M Dudik3, Ervin Sejdic4.   

Abstract

OBJECTIVE: To examine whether there were any associations between high-resolution cervical auscultation (HRCA) acoustic signals recorded by a contact microphone and swallowing kinematic events during pharyngeal swallow as assessed by a videofluoroscopic (VF) examination.
DESIGN: Prospective pilot study.
SETTING: University teaching hospital, university research laboratories. PARTICIPANTS: Patients (N=35) with stroke who have suspected dysphagia (26 men + 9 women; age = 65.8±11.2).
METHODS: VF recordings of 100 liquid swallows from 35 stroke patients were analyzed, and a variety of HRCA signal features to characterize each swallow were calculated. MAIN OUTCOME MEASURES: Percent of signal feature maxima (peak) occurring within 0.1 seconds of swallow kinematic event identified from VF recording.
RESULTS: Maxima of HRCA signal features, such as standard deviation, skewness, kurtosis, centroid frequency, bandwidth, and wave entropy, were associated with hyoid elevation, laryngeal vestibule closure, and upper esophageal sphincter opening, and the contact of the base of the tongue and posterior pharyngeal wall.
CONCLUSIONS: Although the kinematic source of HRCA acoustic signals has yet to be fully elucidated, these results indicate a strong relationship between these HRCA signals and several swallow kinematic events. There is a potential for HRCA to be developed for diagnostic and rehabilitative clinical management of dysphagia.
Copyright © 2018 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Deglutition; Deglutition disorders; Rehabilitation

Mesh:

Year:  2018        PMID: 30071198      PMCID: PMC6402604          DOI: 10.1016/j.apmr.2018.05.038

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  32 in total

1.  Reliability and validity of cervical auscultation: a controlled comparison using videofluoroscopy.

Authors:  Paula Leslie; Michael J Drinnan; Paul Finn; Gary A Ford; Janet A Wilson
Journal:  Dysphagia       Date:  2004       Impact factor: 3.438

2.  A comparison between swallowing sounds and vibrations in patients with dysphagia.

Authors:  Faezeh Movahedi; Atsuko Kurosu; James L Coyle; Subashan Perera; Ervin Sejdić
Journal:  Comput Methods Programs Biomed       Date:  2017-03-10       Impact factor: 5.428

3.  Bolus location associated with videofluoroscopic and respirodeglutometric events.

Authors:  Adrienne L Perlman; Xuming He; Joseph Barkmeier; Eva Van Leer
Journal:  J Speech Lang Hear Res       Date:  2005-02       Impact factor: 2.297

Review 4.  The reliability and validity of cervical auscultation in the diagnosis of dysphagia: a systematic review.

Authors:  Marloes L J Lagarde; Digna M A Kamalski; Lenie van den Engel-Hoek
Journal:  Clin Rehabil       Date:  2015-03-19       Impact factor: 3.477

5.  A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-01-17       Impact factor: 4.589

6.  Gender effects on airway closure in normal subjects.

Authors:  Atsuko Kurosu; Jeri A Logemann
Journal:  Dysphagia       Date:  2009-09-26       Impact factor: 3.438

Review 7.  Evaluation of oropharyngeal dysphagia: which diagnostic tool is superior?

Authors:  Susan E Langmore
Journal:  Curr Opin Otolaryngol Head Neck Surg       Date:  2003-12       Impact factor: 2.064

8.  Oropharyngeal swallow in younger and older women: videofluoroscopic analysis.

Authors:  Jeri A Logemann; Barbara Roa Pauloski; Alfred W Rademaker; Peter J Kahrilas
Journal:  J Speech Lang Hear Res       Date:  2002-06       Impact factor: 2.297

9.  Cervical auscultation synchronized with images from endoscopy swallow evaluations.

Authors:  Paula Leslie; Michael J Drinnan; Ivan Zammit-Maempel; James L Coyle; Gary A Ford; Janet A Wilson
Journal:  Dysphagia       Date:  2007-10       Impact factor: 2.733

10.  A statistical analysis of cervical auscultation signals from adults with unsafe airway protection.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  J Neuroeng Rehabil       Date:  2016-01-22       Impact factor: 4.262

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  14 in total

1.  The Association of High Resolution Cervical Auscultation Signal Features With Hyoid Bone Displacement During Swallowing.

Authors:  Qifan He; Subashan Perera; Yassin Khalifa; Zhenwei Zhang; Amanda S Mahoney; Aliaa Sabry; Cara Donohue; James L Coyle; Ervin Sejdic
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-08-21       Impact factor: 3.802

2.  Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks.

Authors:  Kechen Shu; Shitong Mao; James L Coyle; Ervin Sejdic
Journal:  IEEE J Biomed Health Inform       Date:  2022-03-07       Impact factor: 5.772

3.  Advanced Machine Learning Tools to Monitor Biomarkers of Dysphagia: A Wearable Sensor Proof-of-Concept Study.

Authors:  Megan K O'Brien; Olivia K Botonis; Elissa Larkin; Julia Carpenter; Bonnie Martin-Harris; Rachel Maronati; KunHyuck Lee; Leora R Cherney; Brianna Hutchison; Shuai Xu; John A Rogers; Arun Jayaraman
Journal:  Digit Biomark       Date:  2021-07-27

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

Authors:  Aliaa Sabry; Amanda S Mahoney; Shitong Mao; Yassin Khalifa; Ervin Sejdić; James L Coyle
Journal:  Perspect ASHA Spec Interest Groups       Date:  2020-12-14

5.  Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.

Authors:  Yassin Khalifa; Cara Donohue; James L Coyle; Ervin Sejdic
Journal:  IEEE J Biomed Health Inform       Date:  2021-02-05       Impact factor: 5.772

6.  High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem.

Authors:  James L Coyle; Ervin Sejdić
Journal:  Am J Speech Lang Pathol       Date:  2020-07-10       Impact factor: 2.408

7.  Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals.

Authors:  Cara Donohue; Shitong Mao; Ervin Sejdić; James L Coyle
Journal:  Dysphagia       Date:  2020-05-17       Impact factor: 3.438

8.  Establishing Reference Values for Temporal Kinematic Swallow Events Across the Lifespan in Healthy Community Dwelling Adults Using High-Resolution Cervical Auscultation.

Authors:  Cara Donohue; Yassin Khalifa; Shitong Mao; Subashan Perera; Ervin Sejdić; James L Coyle
Journal:  Dysphagia       Date:  2021-05-20       Impact factor: 3.438

9.  Estimation of laryngeal closure duration during swallowing without invasive X-rays.

Authors:  Shitong Mao; Aliaa Sabry; Yassin Khalifa; James L Coyle; Ervin Sejdic
Journal:  Future Gener Comput Syst       Date:  2020-09-30       Impact factor: 7.187

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

Authors:  Cara Donohue; Yassin Khalifa; Shitong Mao; Subashan Perera; Ervin Sejdić; James L Coyle
Journal:  J Speech Lang Hear Res       Date:  2021-08-24       Impact factor: 2.297

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