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Several investigations around the world have been postulated that the infant cry can be utilized to asses the infant's status and the use of Artificial Neural Networks (ANN) has been one of the recent alternatives to classify cry signals [4,9]. A Radial Basis Function (RBF) network is implemented for infant cry classification in order to find out relevant(More)
The present paper proposes the use of a basic element for the infant cry analysis: the cry unit. In order to display the real possibility of the cry unit for the detection of pathological features (based on Hypoxia) in newborns, a novel combined treatment of the cry signal was implemented using an evolutionary-neural system. For that purpose the cry signal(More)
In fact we know much about the cries of both healthy Abstract: the analysis of infant cry (also known simply as cry analysis) whose use has become more prevalent due to advances in areas such as digital signal processing, pattern recognition and soft computing, has changed the diagnostic ability of physicians to correctly diagnose new-borns using cry(More)
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