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Using Legacy Polysomnography Data to Train a Radar System to Quantify Sleep in Older Adults and People living with Dementia

• Authors : Yin, M.; Ravindran, K. G.; Hadjipanayi, C.

Subjects: Machine Learning; text

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Validation of sleep-wake estimation from thigh-worn accelerometers against polysomnography in adolescents with and without mental disorders

• Authors : Wilms, Martin; Sondergaard, Anne; Jennum, Poul Jorgen

Subjects: Accelerometry; Adolescents; Mental disorders

• Source: Wilms , M , Sondergaard , A , Jennum , P J , Johansson , P J , Hettiarachchi , P , Rohd , S B , Bundgaard , A F , Laursen , A F , Schiavon , M , Streyma , D H B , Gregersen , M , Krantz , M F , Veddum

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Transcutaneous Versus Arterial Carbon Dioxide Monitoring in Adult Polysomnography Studies.

• Authors : Miller, KA; Churchward, TJ; Tolson, J

Subjects: Journal Article

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Deep clustering of polysomnography data to characterize sleep structure in healthy sleep and non-rapid eye movement parasomnias

• Authors : Huijben, I A M; van Sloun, R J G; Pijpers, A

Subjects: Clustering; Dimensionality reduction; Disorders of arousal

• Source: Journal of Neuroscience Methods vol.423 (2025) [ISSN 0165-0270]

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Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models

• Authors : Kjaer, Magnus Ruud; Thapa, Rahul; Ganjoo, Gauri

Subjects: Machine Learning; Artificial Intelligence; text

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Effective Dexmedetomidine Dose for Stage N2 Sleep Induction and Associated Factors in Depression-Related Insomnia: A Polysomnography-Based Analysis

• Authors : Li,Yaozu; Zuo,Muyan; Wang,Ruoguo

Subjects: Nature and Science of Sleep; Original Research; info:eu-repo/semantics/article

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AI‑Enhanced Smartwatch AHI Estimation and AI‑Scored Polysomnography for Obstructive Sleep Apnea: Real‑World Validation

• Authors : Kim,Donghyeok; Han,Jeong Yup; Jung,Hyunjun

Subjects: Nature and Science of Sleep; Original Research; info:eu-repo/semantics/article

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Accuracy Bias and Factors Influencing Polysomnography and Consumer Sleep-Monitoring Device Measuring of Total Sleep Time: A Mixed-Methods Study

• Authors : Yang,Jing; Xu,Dongmei; Lu,Huanhuan

Subjects: Nature and Science of Sleep; Original Research; info:eu-repo/semantics/article

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Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography

• Authors : He, Zhengxiao; Li, Huayu; Yuan, Geng

Subjects: Machine Learning; Artificial Intelligence; text

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Community-based causal evidence that high habitual caffeine consumption alters distinct polysomnography-derived sleep variables

• Authors : Stucky, Benjamin; Henckel, Leonard; Maathuis, Marloes H

Subjects: Artikel; Article

• Source: Journal of Psychopharmacology vol.39 (2025) date: 2025-10-18 p.1437-1448 [ISSN 0269-8811]

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