title: Sleep-wake identification in infants: heart rate variability compared to actigraphy.
abstract: Heart rate variability and actigraphy offer alternative techniques for sleep-wake identification compared to manual sleep scoring from a polysomnograph. The advantages include high accuracy, simplicity of use, and low intrusiveness. These advantages are valuable for determining sleep-wake states in such highly sensitive groups as infants. A learning vector quantization neural network was tested as a predictor. The accuracy of the neural network was compared to "gold standard" hand-scored polysomnographs. The prediction results are in agreement with other studies, thus validating the suggested methodology.
authors.affiliation: Dept. of Electr. Eng., Clarkson Univ., New York, USA.
authors.forename: A T
authors.initials: AT
authors.lastname: Lewicke
authors.forename: E S
authors.initials: ES
authors.lastname: Sazonov
authors.forename: S A C
authors.initials: SA
authors.lastname: Schuckers