Application of Pattern Recognition Techniques to the Classification of Full-Term and Preterm Infant Cry.

Objectives: Scientific and clinical advances in perinatology and neonatology have enhanced the chances of survival of preterm and very low weight neonates. Infant cry analysis is a suitable noninvasive complementary tool to assess the neurologic state of infants particularly important in the case of preterm neonates. This article aims at exploiting differences between full-term and preterm infant cry with robust automatic acoustical analysis and data mining techniques.

Spectrographic cry analysis in newborns with profound hearing loss and perinatal high-risk newborns.

Background: Crying is the first neurophysiological demonstration of the newborn. The acoustic analysis of crying episodes can provide useful information in the early diagnosis of several pathologies.

Methods: We carried out a spectrographic cry analysis of 40 infants with several diseases such as neonatal asphyxia, breathing disorders, deafness and neurological disorders.

[Cry analysis of hypoacoustic children and normal hearing children].

Objective: We analyzed the spectrograms of the cry of deaf children and compared the results with those of normal children.

Material And Methods: Twenty deaf children (0-2 years of age, both sexes) and 20 normal hearing children of both sexes within the same age range were studied. The deaf cases were selected from patients with high-risk pregnancies who are followed up at the National Institute of Perinatology (INPer), Department of Human Communication.