Presented as an oral and poster presentation at the 20th Annual Dysphagia Research Society Meeting, Toronto, Ontario, Canada, March 7–10, 2012.
Article first published online: 15 OCT 2012
Copyright © 2012 The American Laryngological, Rhinological, and Otological Society, Inc.
Volume 123, Issue 3, pages 713–720, March 2013
How to Cite
Hoffman, M. R., Mielens, J. D., Omari, T. I., Rommel, N., Jiang, J. J. and McCulloch, T. M. (2013), Artificial neural network classification of pharyngeal high-resolution manometry with impedance data. The Laryngoscope, 123: 713–720. doi: 10.1002/lary.23655
This research was supported by National Institutes of Health grant numbers R21 DC011130A and T32 DC009401 from the National Institute on Deafness and other Communicative Disorders, NHMRC grant number 1009344, and a grant from the Thrasher Research Fund, Salt Lake City, Utah.
The authors have no other funding, financial relationships, or conflicts of interest to disclose.
- Issue published online: 26 FEB 2013
- Article first published online: 15 OCT 2012
- Manuscript Accepted: 17 JUL 2012
- Manuscript Revised: 10 JUL 2012
- Manuscript Received: 24 FEB 2012
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