@inproceedings{3253c86c2e96465f896837c579b4a6bd,
title = "Modeling and simulation for pediatric sleep and education performance correlations",
abstract = "Sleep deficiency is a fundamental problem that impacts neurocognitive growth, behavioral changes, disease development and performance among young children. Existing investigations of sleep disorder rely heavily on clinical based {"}snapshot{"} measurements that provide little information on the underlying dynamics of the sleep disorder impacts, possible interventions and treatments. How to quantify and characterize sleep disturbance, how to incorporate teacher reports and school performance, and how to establish the comparison of the prevalence of sleep disorders across various studies are the main challenges in this research area. This paper introduces a new modeling simulation framework that uses real time sleep and activity sensors as input, together with school teachers' evaluations, and student performance, to simulate and predict students' performance based on their sleeping time and activity levels.",
keywords = "Accelerometer, Actigraphy, Pediatric sleep, School education, Sensor",
author = "Janet Roveda and Michelle Perfect and Quan, {Stuart F.}",
note = "Publisher Copyright: Copyright 2016 Society for Modeling & Simulation International (SCS).; 3rd Modeling and Simulation in Medicine Symposium, MSM 2016, Part of the 2016 Spring Simulation Multi-Conference, SpringSim 2016 ; Conference date: 03-04-2016 Through 06-04-2016",
year = "2016",
language = "English (US)",
series = "Simulation Series",
publisher = "The Society for Modeling and Simulation International",
number = "6",
pages = "34--37",
editor = "Rozenblit, {Jerzy W.} and Johannes Sametinger",
booktitle = "Simulation Series",
edition = "6",
}