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Article

Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study

1
Department of Family Care Solutions, Philips Research, 5656 AE Eindhoven, The Netherlands
2
Department of Electrical Engineering, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands
3
Department of Mathematics and Computer Science, Eindhoven University of Technology, 5612 AP Eindhoven, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(5), 1075; https://doi.org/10.3390/s19051075
Received: 18 January 2019 / Revised: 18 February 2019 / Accepted: 27 February 2019 / Published: 3 March 2019
(This article belongs to the Section Physical Sensors)
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%. View Full-Text
Keywords: Infant monitoring; wake-sleep pattern; infrared camera; video-based actigraphy; classification Infant monitoring; wake-sleep pattern; infrared camera; video-based actigraphy; classification
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MDPI and ACS Style

Long, X.; Otte, R.; Sanden, E.v.d.; Werth, J.; Tan, T. Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study. Sensors 2019, 19, 1075. https://doi.org/10.3390/s19051075

AMA Style

Long X, Otte R, Sanden Evd, Werth J, Tan T. Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study. Sensors. 2019; 19(5):1075. https://doi.org/10.3390/s19051075

Chicago/Turabian Style

Long, Xi, Renée Otte, Eric v.d. Sanden, Jan Werth, and Tao Tan. 2019. "Video-Based Actigraphy for Monitoring Wake and Sleep in Healthy Infants: A Laboratory Study" Sensors 19, no. 5: 1075. https://doi.org/10.3390/s19051075

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