NDLI: Asthma attack monitoring and diagnosis: A proposed system

Content Provider	IEEE Xplore Digital Library
Author	Al-khassaweneh, M. Mustafa, S.B. Abu-Ekteish, F.
Copyright Year	2012
Description	Author affiliation: Computer Engineering Department, Hijjawi Faculty for Engineering and Technology, Yarmouk University (Al-khassaweneh, M.; Mustafa, S.B.) \|\| Department of Pediatrics and Neonatology, Jordan University of Science and Technology, Irbid ,Jordan (Abu-Ekteish, F.)
Abstract	In recent decades, childhood asthma has become more widespread and thus become a worldwide concern. The diagnosis of childhood asthma depends highly on the physician experience and the collaboration from the child part, which sometimes hard to achieve. In many cases, the symptoms might mislead in the diagnosis of asthma. In this paper, we propose a method to diagnose and classify asthma in children. The proposed method is based on using cough sound to extract features that help in asthma diagnosis. Moreover, we propose a hardware system for asthma attack monitoring. The proposed system was implemented and performed by a self-developed computer program written in MATLAB using many cough sound samples of asthmatic and non-asthmatic children.
Sponsorship	IEEE Malaysia Sect.
Starting Page	763
Ending Page	767
File Size	206722
Page Count	5
File Format	PDF
ISBN	9781467316644
e-ISBN	9781467316668
DOI	10.1109/IECBES.2012.6498153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Normalized Root Mean Squared Error Asthma Monitoring and Diagnosis Sound Analysis Cough Linear Correlation Coefficient Asthma
Content Type	Text
Resource Type	Article

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