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Automated detection of sleep-boundary times using wrist-worn accelerometry

https://doi.org/10.1101/225516
0 signed · 26 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11222-016-9687-5openalex-snapshot
A computationally efficient nonparametric approach for changepoint detection
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.10.090openalex-snapshot
Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise
inferredcites →https://doi.org/10.1016/j.sleep.2015.02.530openalex-snapshot
Sleep and future cardiovascular risk: prospective analysis from the English Longitudinal Study of Ageing
inferredcites →https://doi.org/10.1016/s0140-6736(86)90837-8openalex-snapshot
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/nrn2868openalex-snapshot
Sleep and circadian rhythm disruption in psychiatric and neurodegenerative disease
inferredcites →https://doi.org/10.1093/aje/kwt330openalex-snapshot
Association Between Questionnaire- and Accelerometer-Assessed Physical Activity: The Role of Sociodemographic Factors
inferredcites →https://doi.org/10.1093/eurheartj/ehr007openalex-snapshot
Sleep duration predicts cardiovascular outcomes: a systematic review and meta-analysis of prospective studies
inferredcites →https://doi.org/10.1093/sleep/15.5.461openalex-snapshot
Automatic Sleep/Wake Identification From Wrist Activity
inferredcites →https://doi.org/10.1093/sleep/26.3.342openalex-snapshot
The Role of Actigraphy in the Study of Sleep and Circadian Rhythms
inferredcites →https://doi.org/10.1097/ede.0b013e318187a7b0openalex-snapshot
Self-Reported and Measured Sleep Duration
inferredcites →https://doi.org/10.1109/ichi.2014.24openalex-snapshot
Towards Benchmarked Sleep Detection with Wrist-Worn Sensing Units
inferredcites →https://doi.org/10.1136/bmjopen-2016-012172openalex-snapshot
Assessment for the possibility of a first night effect for wrist actigraphy in adolescents
inferredcites →https://doi.org/10.1152/japplphysiol.00421.2014openalex-snapshot
Autocalibration of accelerometer data for free-living physical activity assessment using local gravity and temperature: an evaluation on four continents
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
inferredcites →https://doi.org/10.1371/journal.pone.0142533openalex-snapshot
A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer
inferredcites →https://doi.org/10.1371/journal.pone.0169649openalex-snapshot
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
inferredcites →https://doi.org/10.2337/dc14-2073openalex-snapshot
Sleep Duration and Risk of Type 2 Diabetes: A Meta-analysis of Prospective Studies
inferredcites →https://doi.org/10.32614/cran.package.changepoint.npopenalex-snapshot
changepoint.np: Methods for Nonparametric Changepoint Detection
inferredcites →https://doi.org/10.3389/fpubh.2014.00036openalex-snapshot
Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms
inferredcites →https://doi.org/10.5665/sleep.2648openalex-snapshot
Sleep Estimates Using Microelectromechanical Systems (MEMS)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1038/s41598-018-31266-zopenalex-snapshot
Estimating sleep parameters using an accelerometer without sleep diary
inferred← citeshttps://doi.org/10.1080/07420528.2020.1835942openalex-snapshot
Sleep assessment by means of a wrist actigraphy-based algorithm: agreement with polysomnography in an ambulatory study on older adults
inferred← citeshttps://doi.org/10.1080/07853890.2023.2191001openalex-snapshot
Comparison and agreement between device-estimated and self-reported sleep periods in adults
inferred← citeshttps://doi.org/10.1093/sleepadvances/zpag093openalex-snapshot
Novel sleep metrics derived from chest-worn accelerometers are associated with dementia risk: the Atherosclerosis Risk in Communities neurocognitive study
inferred← citeshttps://doi.org/10.1123/jmpb.2019-0024openalex-snapshot
Diurnal Profiles of Physical Activity and Postures Derived From Wrist-Worn Accelerometry in UK Adults
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