Evidence suggests Rapid-Eye-Movement (REM) Sleep Behaviour Disorder (RBD) is an early predictor of Parkinson's disease. This study proposes a fully-automated framework for RBD detection consisting of automated sleep staging followed by RBD identification. Analysis was assessed using a limited polysomnography montage from 53 participants with RBD and 53 age-matched healthy controls. Sleep stage classification was achieved using a Random Forest (RF) classifier and 156 features extracted from electroencephalogram (EEG), electrooculogram (EOG) and electromyogram (EMG) channels. For RBD detection, a RF classifier was trained combining established techniques to quantify muscle atonia with additional features that incorporate sleep architecture and the EMG fractal exponent. Automated multi-state sleep staging achieved a 0.62 Cohen's Kappa score. RBD detection accuracy improved by 10% to 96% (compared to individual established metrics) when using manually annotated sleep staging. Accuracy remained high (92%) when using automated sleep staging. This study outperforms established metrics and demonstrates that incorporating sleep architecture and sleep stage transitions can benefit RBD detection. This study also achieved automated sleep staging with a level of accuracy comparable to manual annotation. This study validates a tractable, fully-automated, and sensitive pipeline for RBD identification that could be translated to wearable take-home technology.
Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models
Stanford University（斯坦福大学）；Technical University of Denmark（技术大学）；Danish Center for Sleep Medicine（丹麦睡眠医学中心）；University of Copenhagen（哥本哈根大学）；Harvard Medical School（哈佛医学院）
Using Legacy Polysomnography Data to Train a Radar System to Quantify Sleep in Older Adults and People living with Dementia
Department of Electrical and Electronic Engineering and UK Dementia Research Institute (Care Research & Technology Centre), Imperial College London（电气与电子工程系和英国痴呆症研究机构（护理与技术研究中心）、帝国理工学院伦敦分校）；Department of Informatics, University of Oslo（信息系，奥斯陆大学）；School of Biosciences, University of Surrey（生物科学学院，萨里大学）
SemPSG: A Semantic Channel-Aware Foundation Model for Polysomnography Analysis
Center for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, CAS（中国科学院香港创新研究院人工智能与机器人中心）；Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China（电子科技大学深圳高等研究院）；Technical University of Munich（慕尼黑工业大学）
NAP: Attention-Based Late Fusion for Automatic Sleep Staging
Faculty of Informatics, Università della Svizzera Italiana（信息学院，瑞士意大利大学）；Inst. of Digital Tech. for Personalized Healthcare, SUPSI（个性化医疗数字技术研究所，SUPSI）；Sleep Wake Epilepsy Center, Department of Neurology, Inselspital University of Bern（睡眠觉醒癫痫中心，神经科，伯恩大学医院）；Faculty of Informatics Università della Svizzera Italiana（信息学院，瑞士意大利大学）
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
University of Oslo（奥斯陆大学）；Oslo University Hospital（奥斯陆大学医院）；Lovisenberg Diakonale Hospital（洛维森贝格迪亚科纳莱医院）；St. Olavs University Hospital（圣奥拉夫斯大学医院）；Norwegian University of Science and Technology（挪威科技大学）
The Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp
Hong Kong Xsmart Century Technology Co., Ltd.（香港Xsmart世纪科技有限公司）；Urban Mobility Lab, Massachusetts Institute of Technology（城市移动实验室，麻省理工学院）；Singapore-MIT Alliance for Research and Technology (SMART) Centre（新加坡-麻省理工联盟研究技术中心）；Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital（呼吸与危重症医学科，滨州医学院医院）；Interdisciplinary Center of Sleep Medicine, Charité – Universitätsmedizin Berlin（睡眠医学跨学科中心，夏里特-柏林大学医学中心）
A Recall-First CNN for Sleep Apnea Screening from Snoring Audio
Sai International School（国际学校）；Gems New Millennium School（新 Millennium 学校）；Queen's Valley School（Queen's Valley 学校）；Department of Computer Science and Engineering（计算机科学与工程系）；S.R.M Institute of Science and Technology（S.R.M 科学与技术学院）
Dreem Open Datasets: Multi-Scored Sleep Datasets to compare Human and Automated sleep staging
Dreem（Dreem公司）；Stanford University（斯坦福大学）；French Armed Forces Biomedical Research Institute (IRBA)（法国武装部队生物医学研究所（IRBA））；Paris Descartes University（巴黎笛卡尔大学）
Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation
Massachusetts General Hospital（麻省总医院）；University of Zurich（苏黎世大学）；Washington University School of Medicine in St. Louis（圣路易斯华盛顿大学医学院）；MyAir Inc（MyAir公司）；Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation
Sharif University of Technology（谢里夫理工大学）；Massachusetts General Hospital（麻省总医院）；Harvard Medical School（哈佛医学院）；Georgia Institute of Technology（佐治亚理工学院）；Emory School of Medicine（埃默里大学医学院）
Zhejiang University（浙江大学）；Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine（浙江大学医学院附属精神卫生中心&杭州市第七人民医院）；The First Affiliated Hospital, College of Medicine, Zhejiang University（浙江大学医学院附属第一医院）
sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
Five Seasons Medical（五 Seasons 医疗）；Tsinghua University（清华大学）；Beijing Key Laboratory for Sleep Breathing Disorder（北京睡眠呼吸障碍重点实验室）；Peking University（北京大学）；Fudan University（复旦大学）；Technical University of Munich（慕尼黑技术大学）
On Sleep-Wake Disorder Identification from Polysomnographic Representations
Faculty of Informatics, Università della Svizzera Italiana（瑞士意大利语区大学信息学院）；MeDiTech, SUPSI（瑞士应用科学与艺术大学医学技术学院）；Ente Ospedaliero Cantonale (EOC)（州立医院管理局）；University of Brescia（布雷西亚大学）；University of Bern（伯尔尼大学）
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
National Institute of Health Data Science, Peking University（北京大学健康数据科学国家研究院）；Shanghai Jiao Tong University（上海交通大学）；Beth Israel Deaconess Medical Center（贝斯以色列女执事医疗中心）；Harvard Medical School（哈佛医学院）；HeartVoice Medical Technology（心音医疗科技）；University of California, San Francisco（加州大学旧金山分校）
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning
University of Essex（埃塞克斯大学）；University of Chemistry and Technology in Prague（布拉格化学与技术大学）；Charles University（查理大学）；Czech Technical University in Prague（布拉格捷克理工大学）；Nottingham Trent University（诺丁汉特伦特大学）
Pediatric Automatic Sleep Staging: A comparative study of state-of-the-art deep learning methods
Queen Mary University of London（伦敦玛丽女王大学）；Alan Turing Institute（艾伦·图灵研究所）；University of Lübeck（吕贝克大学）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；University of Adelaide（阿德莱德大学）
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging
Amazon Alexa（亚马逊Alexa）；Aarhus University（奥胡斯大学）；KU Leuven（荷语鲁汶大学）；Lausanne University Hospital (CHUV)（洛桑大学医院）；University of Lausanne（洛桑大学）；University of Oxford（牛津大学）；University of Lübeck（吕贝克大学）；German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；The University of Adelaide（阿德莱德大学）；Queen Mary University of London（伦敦玛丽女王大学）；Alan Turing Institute（艾伦·图灵研究所）
AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
Department of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences（医学工程与技术学系，亚琛应用科学大学）；Department of Information and Computing Sciences, Utrecht University（信息与计算科学系，乌得勒支大学）；Institute for Data-Driven Technologies, FH Aachen University of Applied Sciences（数据驱动技术研究所，亚琛应用科学大学）
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
Eindhoven University of Technology（埃因霍温理工大学）；Philips Sleep and Respiratory Care（飞利浦睡眠与呼吸护理部门）；Sleep Medicine Centre Kempenhaeghe（基姆彭海格睡眠医学中心）；Ulm University（乌尔姆大学）
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
University of Bern（伯尔尼大学）；University of Applied Sciences and Arts of Southern Switzerland（瑞士南部应用科学与艺术大学）；Inselspital, Bern University Hospital（伯尔尼大学医院）；Ohio Sleep Medicine Institute（俄亥俄睡眠医学研究所）
Comparative Analysis of State-of-the-Art Foundation Models for Sleep Analysis Under Channel Reduction
University of Turku（图尔库大学）；Turku University Hospital（图尔库大学医院）；University College Cork（科克大学）；University at Albany, SUNY（纽约州立大学奥尔巴尼分校）；Fudan University（复旦大学）；University of Sydney（悉尼大学）
An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science（上海工程技术大学电子与电气工程学院）；INF Technology (shanghai) Co., Ltd.（INF科技（上海）有限公司）；Artificial Intelligence Innovation and Incubation Institute, Fudan University（复旦大学人工智能创新与孵化研究院）
Fully-automated sleep staging: multicenter validation of a generalizable deep neural network for Parkinson's disease and isolated REM sleep behavior disorder
Aarhus University（奥胡斯大学）；Aarhus University Hospital（奥胡斯大学医院）；Lundbeck Foundation Parkinson’s Disease Research Center (PACE)（伦德贝克基金会帕金森病研究中心（PACE））；University of Cologne（科隆大学）；University Hospital Cologne（科隆大学医院）；Institute for Biomedical Informatics, Faculty of Medicine and University Hospital Cologne（科隆大学医学院暨科隆大学医院生物医学信息学研究所）；Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne（科隆大学医学院暨科隆大学医院科隆分子医学中心（CMMC））；Research Center Juelich（于利希研究中心）；University of Bonn（波恩大学）；University Hospital Bonn（波恩大学医院）；German Center for Neurodegenerative Diseases (DZNE)（德国神经退行性疾病中心（DZNE））；Glostrup University Hospital（格洛斯楚普大学医院）；Danish Center for Sleep Medicine（丹麦睡眠医学中心）
SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
The Faculty of Data and Decision Sciences, Technion, Israel Institute of Technology（以色列理工学院数据与决策科学学院）；Faculty of Biomedical Engineering, Technion, Israel Institute of Technology（以色列理工学院生物医学工程学院）
Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning
Emory University（埃默里大学）；University Hospital Tübingen（图宾根大学医院）；University of Tübingen（图宾根大学）；Technische Universität Dresden（德累斯顿工业大学）；German Center for Neurodegenerative Diseases (DZNE)（德国神经退行性疾病中心）；FH Aachen University of Applied Sciences（亚琛应用技术大学）
