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Article

Developing a Swallow-State Monitoring System Using Nasal Airflow, Surface Electromyography, and Thyroid Cartilage Movement Detection

by
Wann-Yun Shieh
1,2,*,
Mohammad Anwar Khan
1 and
Ya-Cheng Shieh
3
1
Department of Computer Science and Information Engineering, College of Engineering, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kwei-Shan, Taoyuan 333, Taiwan
2
Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, 5 Fu-Hsing Street, Kwei-Shan, Taoyuan 333, Taiwan
3
Department of Computer Science, University of Illinois Urbana-Champaign, 201 North Goodwin Avenue, Urbana, IL 61801, USA
*
Author to whom correspondence should be addressed.
Bioengineering 2024, 11(7), 721; https://doi.org/10.3390/bioengineering11070721
Submission received: 5 June 2024 / Revised: 11 July 2024 / Accepted: 14 July 2024 / Published: 16 July 2024
(This article belongs to the Section Biosignal Processing)

Abstract

The safe ingestion of food and water requires appropriate coordination between the respiratory and swallowing pathways. This coordination can be disrupted because of aging or various diseases, thereby resulting in swallowing disorders. No comparative research has been conducted on methods for effectively screening swallowing disorders in individuals and providing timely alerts to their caregivers. Therefore, the present study developed a monitoring and alert system for swallowing disorders by using three types of noninvasive sensors, namely those measuring nasal airflow, surface electromyography signals, and thyroid cartilage movement. Two groups of participants, one comprising healthy individuals (58 participants; mean age 49.4 years) and another consisting of individuals with a history of unilateral stroke (21 participants; mean age 54.4 years), were monitored when they swallowed five volumes of water. Through an analysis of the data from both groups, seven indicators of swallowing disorders were identified, and the proposed system characterized the individual’s swallowing state as having a green (safe), yellow (unsafe), or red (highly unsafe) status on the basis of these indicators. The results indicated that the symptoms of swallowing disorders are detectable. Healthcare professionals can then use these data to conduct assessments, perform screening, and provide nutrient intake suggestions.
Keywords: swallowing disorder; respiration and swallow coordination; noninvasive sensor; swallow state monitoring swallowing disorder; respiration and swallow coordination; noninvasive sensor; swallow state monitoring

Share and Cite

MDPI and ACS Style

Shieh, W.-Y.; Khan, M.A.; Shieh, Y.-C. Developing a Swallow-State Monitoring System Using Nasal Airflow, Surface Electromyography, and Thyroid Cartilage Movement Detection. Bioengineering 2024, 11, 721. https://doi.org/10.3390/bioengineering11070721

AMA Style

Shieh W-Y, Khan MA, Shieh Y-C. Developing a Swallow-State Monitoring System Using Nasal Airflow, Surface Electromyography, and Thyroid Cartilage Movement Detection. Bioengineering. 2024; 11(7):721. https://doi.org/10.3390/bioengineering11070721

Chicago/Turabian Style

Shieh, Wann-Yun, Mohammad Anwar Khan, and Ya-Cheng Shieh. 2024. "Developing a Swallow-State Monitoring System Using Nasal Airflow, Surface Electromyography, and Thyroid Cartilage Movement Detection" Bioengineering 11, no. 7: 721. https://doi.org/10.3390/bioengineering11070721

APA Style

Shieh, W.-Y., Khan, M. A., & Shieh, Y.-C. (2024). Developing a Swallow-State Monitoring System Using Nasal Airflow, Surface Electromyography, and Thyroid Cartilage Movement Detection. Bioengineering, 11(7), 721. https://doi.org/10.3390/bioengineering11070721

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