A system for rapid identification of respiratory abnormalities using a neural network

✍ Scribed by P.A.D. Wilks; M.J. English

• Publisher: Elsevier Science
• Year: 1995
• Tongue: English
• Weight: 446 KB
• Volume: 17
• Category: Article
• ISSN: 1350-4533
• DOI: 10.1016/1350-4533(95)00001-4

✦ Synopsis

Potential victims

of Sudden Infant Death Syndrome (SIDS) can useful4 be monitored in the home environ,menl.

Conventional respiration movement monitors can be helpful but may not detect potentially dangerous hypoxaemic episodes. Thus oqgen monitoring is to be prefmed but can be dif$cult to use in the home. In an attempt to overcome these difficulties this paper presents the results of an exploratory expa'mat into the use of a neural network to link the output of a respiration pressure monitor to the classification of breathing patterns as effective or otherwise. It ha\ been shown that it is possible to predict changes in oqgen saturation.

which could signzfi potentially dangerous episodes earlier than when other methods are employed.