Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model-Reference-Cited by-同舟云学术

Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model

Published:2022 Issue: Volume:30 Page:1853-1864
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Sitaula Chiranjibi¹^ORCID,He Jinyuan¹,Priyadarshi Archana²,Tracy Mark²,Kavehei Omid³^ORCID,Hinder Murray²,Withana Anusha⁴^ORCID,McEwan Alistair³^ORCID,Marzbanrad Faezeh¹^ORCID

Affiliation:

1. Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia

2. Department of Paediatrics and Child Health, The University of Sydney and Westmead Hospital, Camperdown, NSW, Australia

3. School of Biomedical Engineering, The University of Sydney, Camperdown, NSW, Australia

4. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

Funder

Monash Data Future Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9657755/09784899.pdf?arnumber=9784899

Reference43 articles.

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5. Non-invasive algorithm for bowel motility estimation using a back-propagation neural network model of bowel sounds

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