Browsing by Author "Dahmani, Habiba"

Now showing 1 - 1 of 1
  • Thumbnail Image
    ItemOpen Access
    QUANTIFYING BABY CRYING RHYTHM ABNORMALITIES USING MULTILAYER PERCEPTRON
    (Université de M'sila, 2018) Dahmani, Habiba
    There are no studies to quantify rhythm of baby crying signals until now. In the present study, we propose that the introduction of the temporal rhythm metrics as used in the languages identification domain may well characterize the rhythm of newborn infant's sounds. Then, it may improve diagnostic accuracy and helps quickly identify, categorize and discriminate between the sick and healthy babies, therefore, provide more reliability to the evaluation of the health of the newborns. The repeated bursts of expiratory sounds were detected and selected from the crying records of 295 full-term babies of 1 to 90 days old. These recordings occur under some stimulus as pain, fever, diaper change and other different states. The relevance of the proposed rhythm features to distinguish the healthy from the sick babies is approved. The results of various classification experimentations of the correct classification were more than 80%. Indeed, the findings were very promising and confirm the ability of rhythm parameters to characterize the baby crying signal well.