[Automatic analysis of sleep-wake states during the first year of life].
Automatic analysis on infant sleep tracing was first considered as an aid to the rapid construction of hypnograms. It has long been thought more complicated than in adults, because of the significant changes in electrogenesis during the first year of life, resulting in difficulty to adapt to the criteria of Rechtschaffen and Kales (1968), even if modified, or to those of Anders et al (1971). In fact, these studies have shown that automatic analysis of sleep EEG tracings permit an easier analysis of the changes in electrogenesis according to subject age, sleep stage and time of night. Moreover, automatic analysis of parameters which change with the sleep-wake stages shows the continuity of these changes, and therefore the somewhat arbitrary nature of conventional hypnogram classification. The mathematical treatment of this information facilitates their visualisation, and permits a better analysis of circadian and ultradian variations that could scarcely be formalized by classical hypnogram analysis. In the study of maturation occurring during the first months of life, automatic signal processing will require adaptation that will lead to new forms of reasoning.
Samson-Dollfus
D
D
Laboratoire d'explorations neurologiques, Centre hospitalier universitaire, Hôpital Charles-Nicolle, Rouen, France.
Nogues
B
B
Delapierre
G
G
D002940:Circadian Rhythm / Q000502:physiology; D004569:Electroencephalography; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology*; D014851:Wakefulness / Q000502:physiology*
Apport de l'analyse automatique des états veille-sommeil au cours de la première année de la vie.