Improving Non-Invasive Aspiration Detection With Auxiliary Classifier Wasserstein Generative Adversarial Networks

Aspiration is a serious complication of swallowing disorders. Adequate detection of aspiration is essential in dysphagia management and treatment. High-resolution cervical auscultation has been increasingly considered as a promising noninvasive swallowing screening tool and has inspired automatic di...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2022-03, Vol.26 (3), p.1263-1272
Hauptverfasser:	Shu, Kechen, Mao, Shitong, Coyle, James L., Sejdic, Ervin
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Algorithms Aspiration detection Auscultation Auscultation - methods Bioinformatics cervical ausculta- tions Classifiers data augmentation Data sampling Deep learning Deglutition Deglutition Disorders - diagnosis Dysphagia Feature extraction Frequency conversion generative adver- sarial networks Generative adversarial networks Humans Machine Learning Microphones Signal classification Signal processing Swallowing swallowing accelerometry swallowing vibrations Time-frequency analysis Training
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