Baseline characteristics of cervical auscultation signals during various head maneuvers. - Iva Jestrovic; Joshua M. Dudik; Bo Luan; James L. Coyle; Ervin Sejdic (Comput. Biol. Medicine, 2013)

A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals. - Joshua M. Dudik; Atsuko Kurosu; James L. Coyle; Ervin Sejdic (Comput. Biol. Medicine, 2015)

Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds. - Joshua M. Dudik; Iva Jestrovic; Bo Luan; James L. Coyle; Ervin Sejdic (IEEE Trans. Biomed. Eng., 2015)

Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques. - Joshua M. Dudik; James L. Coyle; Ervin Sejdic (IEEE Trans. Hum. Mach. Syst., 2015)

A matched dual-tree wavelet denoising for tri-axial swallowing vibrations. - Joshua M. Dudik; James L. Coyle; Amro El-Jaroudi; Mingui Sun; Ervin Sejdic (Biomed. Signal Process. Control., 2016)

Deep learning for classification of normal swallows in adults. - Joshua M. Dudik; James L. Coyle; Amro El-Jaroudi; Zhi-Hong Mao; Mingui Sun; Ervin Sejdic (Neurocomputing, 2018)