Performance of an automated sleep scoring approach for actigraphy data in children and adolescents

The in-lab performance metrics from typically developing children with and without OSA and cohort-based descriptive statistics from samples of typically developing children provide benchmark data to guide investigators on the suitability of GGIR for automated processing of raw acceleration data for pediatric sleep estimation.

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Publication Details

Journal
SLEEP
Published
2025-09-18
DOI
https://doi.org/10.1093/sleep/zsaf282
Citations
1
Primary Topic
Obstructive Sleep Apnea Research
Type
article
Field-Weighted Citation Impact
1.16
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article

Performance of an automated sleep scoring approach for actigraphy data in children and adolescents

Margaret Banker, Heidi J. Kalkwarf, Cathy Goldstein, Ariel A. Williamson et al.
1 citations
SLEEP
Obstructive Sleep Apnea Research
1.16
article

Performance of an automated sleep scoring approach for actigraphy data in children and adolescents

Margaret Banker, Heidi J. Kalkwarf, Cathy Goldstein, Ariel A. Williamson, Peter X.‐K. Song, Erica C. Jansen, Pin-Wei Chen, Khadija Zanna, Michael P. Kaye, Jennette P. Moreno, Alejandra Cantoral, Babette S. Zemel, Akane Sano, Christopher M. Cielo︎, Martha María Téllez‐Rojo, Jonathan A. Mitchell, Karen E. Peterson
article en
1 citations

Abstract

The in-lab performance metrics from typically developing children with and without OSA and cohort-based descriptive statistics from samples of typically developing children provide benchmark data to guide investigators on the suitability of GGIR for automated processing of raw acceleration data for pediatric sleep estimation.

SLEEPVol. 49(2)
Northwestern University (US), Cincinnati Children's Hospital Medical Center (US), Children's Hospital of Philadelphia (US), Oregon Health & Science University (US), University of Oregon (US), Universidad Iberoamericana (MX), University of Michigan (US), Michigan United (US), Michigan Medicine (US), Children's Nutrition Research Center at Baylor College of Medicine (US), Rice University (US), University of Pennsylvania (US)
Openalex Percentile: Top 18%
Obstructive Sleep Apnea Research
1.16
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