Detection of Swallowing Abnormalities in Pediatric FEES Recordings Using Rule-Based and Model-Based Methods

Key Points

• Swallowing abnormalities were detected using advanced algorithms, indicating effective identification.
• The model-based method showed 85% accuracy, while rule-based methods achieved 78% in pediatric cases.
• Assessment involved analyzing FEES recordings to evaluate swallowing techniques in children with dysphagia.
• Findings highlight the potential for automated detection methods to enhance clinical assessments in pediatric populations.