Article

Statistical Complexity Analysis of Sleep Stages

2024-11-26

Abstract excerpt

Studying sleep stages is crucial for understanding sleep architecture, which can help identify various health conditions, including insomnia, sleep apnea, and neurodegenerative diseases, and allowing for better diagnosis and treatment interventions In this paper we explore the effectiveness of generalized weighted permutation entropy (GWPE) in distinguishing between different sleep stages from EEG signals. We prov...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3e0917cd-fd77-55ab-939e-bd8a0cd75c12
DOI: 10.20944/preprints202411.1941.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Statistical Complexity Analysis of Sleep StagesDOI 10.20944/preprints202411.1941.v1Read

A Permutation Entropy Method for Sleep Disorder ScreeningSemantic proximity Read

Nyx: a flexible framework for sleep scoring across species, lifespan and modalitiesSemantic proximity Read

SleepGPT: A Sleep Stage Language Model for Efficient Sleep AssessmentSemantic proximity Read

Multimodal sleep stage classification and label-free abnormality scoring in mid-to-older adultsSemantic proximity Read

Local REM sleep-N1-wake sleep stage mixing in narcolepsy type 1Semantic proximity Read

The 103,200-arm acceleration dataset in the UK Biobank revealed a landscape of human sleep phenotypes.Semantic proximity Read

Automated Sleep Stage and Event Detection Algorithms Using Quality-Controlled PSG AnnotationsSemantic proximity Read

Complexity Measures in Diverse Dynamical Regimes and Application to States of ConsciousnessSemantic proximity Read

Novel Digital Markers of Sleep Dynamics: A Causal Inference Approach Revealing Age and Gender Phenotypes in Obstructive Sleep ApneaSemantic proximity Read

Sleep Staging Foundation Models Encode Neural Disorder-Related EEG Representations that Generalize to WakefulnessSemantic proximity Read

Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitionsSemantic proximity Read

A Unified Flexible Large Polysomnography Model for Sleep Staging and Mental Disorder DiagnosisSemantic proximity Read