Detection of muscle activations by surface electromyography in patients with dysphagia

Laura V. Suarez-Patiño, Juan C. Suarez-Escudero, Andres Orozco-Duque, Estefania Perez-Giraldo

    Research output: Chapter in Book/Report/Conference proceedingConference and proceedingspeer-review

    Abstract

    Dysphagia is defined as difficulty moving food from the mouth to the stomach. The confirmatory test for the diagnosis of this condition is videofluoroscopy (VFSS) being highly invasive since it exposes the patient to ionizing radiation. Surface electromyography (sEMG) records the electrical activity of the muscles in a non-invasive way, so it can offer an alternative to evaluate swallowing and can be applied in dysphagia. We analyzed sEMG signals from 5 patients who were simultaneously acquired with VFSS. Yogurt and water in volumes of 5, 10, and 20 ml, and 3 g of cracker were administered. Masseter, suprahyoid, and infrahyoid muscle groups were studied bilaterally. An algorithm for automatic detection of the onset and offset was developed. The degree of overlap between the automatic segmentation and visual segmentation was calculated for each muscle group. The average activation time of these muscle groups was compared and plotted concerning the bolus pass through the reference points calculated by VFSS: mandibular line (LM), vallecula (V), and cricopharyngeal muscle (part of upper esophageal sphincter). It was found a higher degree of overlap for the larger volumes (20 ml) and in the following order: masseter, suprahyoid, and infrahyoid. The results show a previous activation in most of the muscle groups before LM and a deactivation when the food passes through the cricopharyngeal sphincter (EC). This study showed that the implemented algorithm served to know the time of muscle activity and the sequence of muscle groups involved in swallowing by using sEMG validated with VFSS.

    Original languageEnglish
    Title of host publication18th International Symposium on Medical Information Processing and Analysis
    EditorsJorge Brieva, Pamela Guevara, Natasha Lepore, Marius G. Linguraru, Leticia Rittner, Eduardo Romero Castro
    PublisherSPIE
    ISBN (Electronic)9781510662544
    DOIs
    StatePublished - 2023
    Event18th International Symposium on Medical Information Processing and Analysis - Valparaiso, Chile
    Duration: 9 Nov 202211 Nov 2022

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume12567
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    Conference18th International Symposium on Medical Information Processing and Analysis
    Country/TerritoryChile
    CityValparaiso
    Period9/11/2211/11/22

    Bibliographical note

    Publisher Copyright:
    © 2023 SPIE.

    Keywords

    • Computer Aided Signal Processing
    • Electromyography
    • Fluoroscopy
    • Swallowing
    • Swallowing Disorder

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