Results 231 to 240 of about 40,888 (283)

Performance of an automated sleep scoring approach for actigraphy data in children and adolescents. [PDF]

Sleep
Chen PW, Jansen EC, Cielo CM, Williamson AA, Banker M, Kaye M, Song PXK, Peterson KE, Cantoral A, Téllez-Rojo MM, Goldstein C, Zanna K, Sano A, Moreno JP, Kalkwarf H, Zemel BS, Mitchell JA.   +16 more
europepmc   +1 more source

Predicting and Early Detection of Delirium through Motion Patterns: A Narrative Review. [PDF]

Clin Psychopharmacol Neurosci
Hong JS, Kim NY, Kim HR, Han DH, Kim SM.
europepmc   +1 more source

A review of sleep-related indicators measured in large population-based cohort studies in Japan. [PDF]

Environ Health Prev Med
Ariyada K, Yamagishi K, Seol J, Yanagisawa M, Iwagami M.   +4 more
europepmc   +1 more source

The associations between gas cooking stoves, indoor NO2 concentrations, and adverse sleep outcomes in a pediatric sample. [PDF]

Sleep
Wang J, Gueye-Ndiaye S, Li X, Bhaskar S, Li L, Tully M, Rueschman M, Owens J, Gold DR, Chen JT, Phipatanakul W, Adamkiewicz G, Redline S.   +12 more
europepmc   +1 more source

Sleep and Activity Patterns as Transdiagnostic Behavioral Biomarkers in Psychiatry: Longitudinal Observational Study From the DeeP-DD Study. [PDF]

JMIR Form Res
Hamitouche D, Zamorano T, Barkat Y, Parekh D, Palaniyappan L, Jalali S, Benrimoh D.   +6 more
europepmc   +1 more source

Preschool attention and sleep support (PASS): protocol for a pilot feasibility randomized clinical trial. [PDF]

Front Sleep
Davis NO, Eichner B, Gibson MJ, Lunsford-Avery JR.   +3 more
europepmc   +1 more source

Performance of an Electroencephalography-Measuring Headband or Actigraphy Compared with Polysomnography in Older Adults with Sleep Disturbances. [PDF]

Sleep
Miner B, Chen A, Pan Y, Cho G, Talarczyk J, Burzynski C, Polisetty L, Doyle M, Iannone L, Mejnartowicz S, Breier RA, Gill TM, Yaggi HK, Knauert M.   +13 more
europepmc   +1 more source

Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning-Based Prediction of Mood Severity.

JMIR Ment Health
Diler RS, Vahedifard F, Birmaher B, Iyengar S, Wolfe M, Lepore BN, Chobany M, Abdul-Waalee H, Malgireddy G, Hart JA, Bertocci MA.   +10 more
europepmc   +1 more source

Actigraphy-Based Assessment of Sleep Parameters [PDF]

Annals of Work Exposures and Health, 2020
Abstract Actigraphy, a method for inferring sleep/wake patterns based on movement data gathered using actigraphs, is increasingly used in population-based epidemiologic studies because of its ability to monitor activity in natural settings. Using special software, actigraphic data are analyzed to estimate a range of sleep parameters.
Desta Fekedulegn, Kim E Innes
exaly   +3 more sources