NDLI: A novel respiratory rate estimation method for sound-based wearable monitoring systems

Content Provider	IEEE Xplore Digital Library
Author	Jianmin Zhang Wee Ser Goh, D.Y.T.
Copyright Year	2011
Description	Author affiliation: Department of Paediatrics, National University of Singapore and National University Hospital (Goh, D.Y.T.) \|\| School of EEE, Nanyang Technological University, Singapore 639798 (Jianmin Zhang; Wee Ser)
Abstract	The respiratory rate is a vital sign that can provide important information about the health of a patient, especially that of the respiratory system. The aim of this study is to develop a simple method that can be applied in wearable systems to monitor the respiratory rate automatically and continuously over extended periods of time. In this paper, a novel respiratory rate estimation method is presented to achieve this target. The proposed method has been evaluated in both the open-source data as well as the local-hospital data, and the results are encouraging. The findings of this study revealed strong linear correlation to the reference respiratory rate. The correlation coefficients for the open-source data and the in-hospital data are 0.99 and 0.96 respectively. The standard deviation of the estimation error is less than 7% for both types of data.
Starting Page	3213
Ending Page	3216
File Size	340976
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090874
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Biomedical monitoring Monitoring Correlation Educational institutions Entropy Feature extraction
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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