Abstract / truncated to 115 words (read the full abstract)

This work has, as its objective, the development of non-invasive and low-cost systems for monitoring and automatic diagnosing specific neonatal diseases by means of the analysis of suitable video signals. We focus on monitoring infants potentially at risk of diseases characterized by the presence or absence of rhythmic movements of one or more body parts. Seizures and respiratory diseases are specifically considered, but the approach is general. Seizures are defined as sudden neurological and behavioural alterations. They are age-dependent phenomena and the most common sign of central nervous system dysfunction. Neonatal seizures have onset within the 28th day of life in newborns at term and within the 44th week of conceptional age in preterm infants. ... toggle 6 keywords

neonatal clonic seizure monitoring and automatic diagnosing neonatal diseases apnea breath monitoring periodicity analysis maximum-likelihood detection.


Cattani Luca
University of Parma (Italy)
Publication Year
Upload Date
June 24, 2019

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