[Development of a criterion for the automatic detection of sleep spindles in the infant].
The authors present a model for automatic detection of spindles during the different sleep stages. Baseline spindle-free EEG was modelized on a 10 sec recording using an autoregressive model. Spindles were thereafter detected using the quadratic error from this baseline model on successive 1 sec periods. This automatic detection is in a 95.7% agreement with visual analysis.
D003201:Computers; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008959:Models, Neurological; D008991:Monitoring, Physiologic; D012890:Sleep / Q000502:physiology*
Mise au point chez le nourrisson d'un critère de détection automatique des fuseaux de sommeil.