Abstract
Particularly in young children the diagnosis of asthma is difficult and mostly based on clinical symptoms like wheezing, cough and dyspnea. Children with nocturnal wheezing often suffer from a low quality of sleep and impaired sense of well-being during the day. Physicians recommend that parents record the frequency of asthma attacks or symptoms to help manage their children's disease. The lack of an appropriate method for standardized and objective monitoring makes asthma management difficult. The aim of this paper is to present a new method for automated wheeze and cough detection and analysis. The mobile LEOSound recording and analysing system described here should help improve diagnosis and monitoring of asthma symptoms in children.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
