A Novel Methodology to Remotely and Early Diagnose Sleep Bruxism by Leveraging on Audio Signals and Embedded Machine Learning
Author:
Affiliation:
1. University of Siena,Department of Information Engineering and Mathematics,Siena,Italy
2. University of Padova,Department of Information Engineering,Padova,Italy
Funder
Ministry of Education, University and Research (MIUR)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9887622/9887532/09887782.pdf?arnumber=9887782
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