Paper Info
Title
Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study.
Abstract
Prolonged monitoring of infant sleep is paramount for parents and healthcare professionals for interpreting and evaluating infants' sleep quality. Wake-sleep patterns are often studied to assess this. Video cameras have received a lot of attention in infant sleep monitoring because they are unobtrusive and easy to use at home. In this paper, we propose a method using motion data detected from infrared video frames (video-based actigraphy) to identify wake and sleep states. The motion, mostly caused by infant body movement, is known to be substantially associated with infant wake and sleep states. Two features were calculated from the video-based actigraphy, and a Bayesian-based linear discriminant classification model was employed to classify the two states. Leave-one-subject-out cross validation was performed to validate our proposed wake and sleep classification model. From a total of 11.6 h of infrared video recordings of 10 healthy term infants in a laboratory pilot study, we achieved a reliable classification performance with a Cohen's kappa coefficient of 0.733 +/- 0.204 (mean +/- standard deviation) and an overall accuracy of 92.0% +/- 4.6%.
Year
DOI
Venue
2019
10.3390/s19051075
SENSORS
Keywords
Field
DocType
Infant monitoring,wake-sleep pattern,infrared camera,video-based actigraphy,classification
Wake,Actigraphy,Sleep monitoring,Electronic engineering,Cohen's kappa,Sleep quality,Physical medicine and rehabilitation,Linear discriminant analysis,Engineering,Cross-validation,Standard deviation
Journal
Volume
Issue
ISSN
19
5
1424-8220
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Xi Long110511.30
Renée Otte200.34
Eric van der Sanden300.34
Jan Werth400.34
Tao Tan54610.25