ANAIS - APRESENTAÇÃO ORAL
ABSTRACT Introduction: Oropharyngeal dysphagia (OD) can result in serious health complications, so proper diagnosis and rehabilitation are of utmost importance. Recent advances in machine learning offer new opportunities to develop noninvasive techniques for identifying OD. Objective: To verify the accuracy of spectrograms and scalograms as tools to identify altered swallowing patterns using machine learning techniques. Methods: The Research Ethics Committee approved this cross-sectional study under number 50257821.9.0000.5345. Swallowing sounds were collected from a group of 78...
Publication Details
- Journal
- Journal of Contemporary Diseases and Advanced Medicine
- Published
- 2024-12-15
- DOI
- https://doi.org/10.14436/jcdam.3.2.001-037.ana
- Primary Topic
- Academic Research in Diverse Fields
- Type
- article
- Field-Weighted Citation Impact
- 0.00