2021
DOI: 10.48550/arxiv.2108.07467
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Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model

Chiranjibi Sitaula,
Jinyuan He,
Archana Priyadarshi
et al.

Abstract: Abdominal auscultation is a convenient, safe and inexpensive method to assess bowel conditions, which is essential in neonatal care. It helps early detection of neonatal bowel dysfunctions and allows timely intervention. This paper presents a neonatal bowel sound detection method to assist the auscultation. Specifically, a Convolutional Neural Network (CNN) is proposed to classify peristalsis and non-peristalsis sounds. The classification is then optimized using a Laplace Hidden Semi-Markov Model (HSMM). The p… Show more

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“…Digital audio processing, speech recognition, speech compression coding, and text speech conversion have become increasingly diversified and accurate under the revolution of information technology. Sitaula et al (2021) studied the application of neural network technology to the classification of intestinal peristaltic and non-peristaltic sounds. They optimized the classification results by Laplace hidden semi-Markov model.…”
Section: Introductionmentioning
confidence: 99%
“…Digital audio processing, speech recognition, speech compression coding, and text speech conversion have become increasingly diversified and accurate under the revolution of information technology. Sitaula et al (2021) studied the application of neural network technology to the classification of intestinal peristaltic and non-peristaltic sounds. They optimized the classification results by Laplace hidden semi-Markov model.…”
Section: Introductionmentioning
confidence: 99%