Literature DB >> 3589325

Computer scoring of motility patterns for states of sleep and wakefulness: human infants.

E B Thoman, R C Glazier.   

Abstract

A procedure is described for continuous monitoring of sleep states and wakefulness of infants in the home, with no intervention required for the recording. The infant's motility patterns produced by respiration and body movements are recorded from a pressure-sensitive mattress in the crib onto a single channel of a small 24-h analog recorder. In this way, signals produced by the naturally occurring states are obtained during all portions of the day when the infant is in the crib. Later, in the laboratory, the signals are analyzed by computer, using a pattern recognition program with a template-matching procedure that scores the data every 30 s for Active Sleep, Quiet Sleep, Active-Quiet Transition Sleep, Sleep-Wake Transition, and Wakefulness. Computer-scored records for 2-h recordings of 10 infants were compared with direct behavioral state observations that were made at the same time as the mattress recording. The results confirmed the validity of the computer scoring procedure, both when templates were obtained from each infant's observation and when a standard set of templates from one infant were used for scoring the data from all other subjects.

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Year:  1987        PMID: 3589325     DOI: 10.1093/sleep/10.2.122

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  3 in total

Review 1.  A behavioral model of infant sleep disturbance.

Authors:  N M Blampied; K G France
Journal:  J Appl Behav Anal       Date:  1993

Review 2.  A review of the effects of sleep during the first year of life on cognitive, psychomotor, and temperament development.

Authors:  Mathew Ednick; Aliza P Cohen; Gary L McPhail; Dean Beebe; Narong Simakajornboon; Raouf S Amin
Journal:  Sleep       Date:  2009-11       Impact factor: 5.849

3.  An Open Source Classifier for Bed Mattress Signal in Infant Sleep Monitoring.

Authors:  Jukka Ranta; Manu Airaksinen; Turkka Kirjavainen; Sampsa Vanhatalo; Nathan J Stevenson
Journal:  Front Neurosci       Date:  2021-01-14       Impact factor: 4.677

  3 in total

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