A Novel Methodology to Remotely and Early Diagnose Sleep Bruxism by Leveraging on Audio Signals and Embedded Machine Learning-Reference-Cited by-同舟云学术

A Novel Methodology to Remotely and Early Diagnose Sleep Bruxism by Leveraging on Audio Signals and Embedded Machine Learning

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Measurements & Networking (M&N)
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Author:

Peruzzi Giacomo¹,Galli Alessandra²,Pozzebon Alessandro²

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

Reference30 articles.

1. Audio for Audio is Better? An Investigation on Transfer Learning Models for Heart Sound Classification

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5. Quasi-real time remote video surveillance unit for lorawan-based image transmission;fort;2021 IEEE International Workshop on Metrology for Industry 4 0 & IoT (Metrolnd4 O&IoT),0

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