A CNN Based Human Bowel Sound Segment Recognition Algorithm with Reduced Computation Complexity for Wearable Healthcare System

Human bowel sounds (BSs) deliver much useful information about gastrointestinal health status. In recent years, the utilization of advanced bio-acoustic sensors, such as the wired electronic stethoscopes and the wireless wearable sound recording patches, has enabled researchers to record, store and...

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Bibliographic Details

Published in:	IEEE International Symposium on Circuits and Systems proceedings pp. 1 - 5
Main Authors:	Zhao, Kang, Jiang, Hanjun, Yuan, Tao, Zhang, Chun, Jia, Wen, Wang, Zhihua
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2020
Subjects:	Biomedical monitoring Bowel sounds CNNs leave-one-out cross validation MFCCs Monitoring Motion artifacts Spectrogram Stethoscope Training Wearable computers Wearable Systems
ISBN:	9781728133201, 1728133203
ISSN:	2158-1525
Online Access:	Get full text
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