Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches
Roldan-Vasco S, Orozco-Duque A, Orozco-Arroyave JR (2025)
Publication Type: Journal article
Publication year: 2025
Journal
Book Volume: 100
Article Number: 107030
DOI: 10.1016/j.bspc.2024.107030
Abstract
Dysphagia is a swallowing disorder that affects food, liquid, or saliva transit from the mouth to the stomach. Dysphagia leads to malnutrition, dehydration, and aspiration of the bolus into the respiratory system, which can lead to pneumonia with subsequent death. Clinically accepted dysphagia diagnosis and follow-up methods are invasive, uncomfortable, expensive, and experience-dependent. This paper explores a multimodal non-invasive approach to objectively assess dysphagia with three biosignals: surface electromyography, accelerometry-based cervical auscultation, and speech. The defined acquisition protocol was applied to patients with dysphagia and healthy control subjects. Features were extracted from the three biosignals in different domains with the aim of proposing interpretable biomarkers. Finally, the methodology was evaluated according to the accuracy and area under the receiver operating characteristic curve obtained with different classifiers. According to our results, all signals demonstrated their suitability for dysphagia screening, specially speech and multi-modal scenarios evaluated with machine learning models and also with Gated Multimodal Units. This paper contributes to reducing the knowledge gap about swallowing-related phenomena and incorporates non-invasive and multi-modal methods with high potential to be transferred and implemented in clinical practice.
Involved external institutions
Instituto Tecnológico Metropolitano (ITM)
Colombia (CO)
Universidad de Medellín (UDEM)
Colombia (CO)
Universidad de Antioquía (UDEA)
Colombia (CO)
Colombia (CO)
Universidad de Medellín (UDEM)
Colombia (CO)
Universidad de Antioquía (UDEA)
Colombia (CO)
How to cite
APA:
Roldan-Vasco, S., Orozco-Duque, A., & Orozco-Arroyave, J.R. (2025). Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches. Biomedical Signal Processing and Control, 100. https://doi.org/10.1016/j.bspc.2024.107030
MLA:
Roldan-Vasco, Sebastian, Andres Orozco-Duque, and Juan Rafael Orozco-Arroyave. "Dysphagia screening with sEMG, accelerometry and speech: Multimodal machine and deep learning approaches." Biomedical Signal Processing and Control 100 (2025).
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