Abstract
A method for computerized automatic diagnosis of the infant pulmonary system is presented. Based on tidal breathing flow volume loops, the concept offers diagnostic decision support based on statistical analysis of over 600 breath strokes and an automatic pattern recognition system featuring a neural network classification algorithm. At the moment, the system allows to classifiy about 70 % of the breath strokes right and 15 % wrong with another 15 % being rejected.
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.
