Papers Sleep Quality
“Sleep Quality” 태그가 달린 논문 75편 · 필터 해제
Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling
Mental illnesses among drug users are an increasing international issue, particularly in regions where early detection cannot be easily undertaken. The current literature tends to ignore the use of AI-based mental health…
Hyperparameter OptimizationSleep QualityA Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data alone, limiting passive sensing utility f…
Domain AdaptationSleep QualityUncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning
The widespread adoption of social media has heightened interest in its psychological effects, particularly on mental health indicators such as anxiety, depression, loneliness, and sleep quality, as these platforms increa…
Outlier DetectionSleep QualityThe Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp
Sleep staging is essential for the assessment of sleep quality and the diagnosis of sleep-related disorders. Conventional polysomnography (PSG), while considered the gold standard, is intrusive, labor-intensive, and unsu…
Sleep Stage DetectionSleep QualityIntegrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
Sleep quality is influenced by a complex interplay of behavioral, environmental, and psychosocial factors, yet most computational studies focus mainly on predictive risk identification rather than actionable intervention…
Interpretable Machine LearningSleep QualityEEG-VLM: A Hierarchical Vision-Language Model with Multi-Level Feature Alignment and Visually Enhanced Language-Guided Reasoning for EEG Image-Based Sleep Stage Prediction
Sleep stage classification based on electroencephalography (EEG) is fundamental for assessing sleep quality and diagnosing sleep-related disorders. However, most traditional machine learning methods rely heavily on prior…
Sleep QualityFinding Pre-Injury Patterns in Triathletes from Lifestyle, Recovery and Load Dynamics Features
Triathlon training, which involves high-volume swimming, cycling, and running, places athletes at substantial risk for overuse injuries due to repetitive physiological stress. Current injury prediction approaches primari…
Synthetic Data GenerationSleep QualityResource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning
Automatic sleep staging plays a vital role in assessing sleep quality and diagnosing sleep disorders. Most existing methods rely heavily on long and continuous EEG recordings, which poses significant challenges for data …
Sleep QualitySubject-Adaptive Sparse Linear Models for Interpretable Personalized Health Prediction from Multimodal Lifelog Data
Improved prediction of personalized health outcomes -- such as sleep quality and stress -- from multimodal lifelog data could have meaningful clinical and practical implications. However, state-of-the-art models, primari…
Sleep QualityMIS-LSTM: Multichannel Image-Sequence LSTM for Sleep Quality and Stress Prediction
This paper presents MIS-LSTM, a hybrid framework that joins CNN encoders with an LSTM sequence model for sleep quality and stress prediction at the day level from multimodal lifelog data. Continuous sensor streams are fi…
Sleep QualitySome patterns of sleep quality and Daylight Saving Time across countries: a predictive and exploratory analysis
In this study we analyzed average sleep durations across 61 countries to examine the impact of Daylight Saving Time (DST) practices. Key metrics influencing sleep were identified, and statistical correlation analysis was…
Sleep QualityIndividualized and Interpretable Sleep Forecasting via a Two-Stage Adaptive Spatial-Temporal Model
Sleep quality impacts well-being. Therefore, healthcare providers and individuals need accessible and reliable forecasting tools for preventive interventions. This paper introduces an interpretable, individualized adapti…
Time Series ForecastingSleep QualityMulti-Channel Differential Transformer for Cross-Domain Sleep Stage Classification with Heterogeneous EEG and EOG
Classification of sleep stages is essential for assessing sleep quality and diagnosing sleep disorders. However, manual inspection of EEG characteristics for each stage is time-consuming and prone to human error. Althoug…
Representation LearningDomain GeneralizationSleep QualityUnderstanding Human Daily Experience Through Continuous Sensing: ETRI Lifelog Dataset 2024
Improving human health and well-being requires an accurate and effective understanding of an individual's physical and mental state throughout daily life. To support this goal, we utilized smartphones, smartwatches, and …
Sleep QualityTowards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control
Automated driving (AD) has substantially improved vehicle safety and driving comfort, but their impact on passenger well-being, particularly infant sleep, is not sufficiently studied. Sudden acceleration, abrupt braking,…
Reinforcement Learning (RL)Sleep QualitySleep Position Classification using Transfer Learning for Bed-based Pressure Sensors
Bed-based pressure-sensitive mats (PSMs) offer a non-intrusive way of monitoring patients during sleep. We focus on four-way sleep position classification using data collected from a PSM placed under a mattress in a slee…
Deep LearningPose EstimationPositionSleep Quality+1NeuroPal: A Clinically-Informed Multimodal LLM Assistant for Mental Health Combining Sleep Chronotherapy, Cognitive Behavioral Reframing, and Adaptive Phytochemical Intervention
Due to time constraints, mental health professionals in China are unable to offer patients prolonged talk therapy, leaving a gap in care for patients with psychological disorders, including aberrant sleep and eating patt…
Large Language ModelRhythmSleep QualityLong-term consequences of COVID-19 on sleep, mental health, fatigue, and cognition: a preliminary study
Introduction Post-COVID-19 Syndrome (PCS) is defined as symptoms persisting beyond 12 weeks from the onset of symptoms. Notably, COVID-19 has been associated with long-term effects on the brain and mental health. This c…
Sleep QualitySleepGMUformer: A gated multimodal temporal neural network for sleep staging
Sleep staging is a key method for assessing sleep quality and diagnosing sleep disorders. However, current deep learning methods face challenges: 1) postfusion techniques ignore the varying contributions of different mod…
EEGSleep QualitySleep StagingToward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinic…
Contrastive LearningDiagnosticEEGElectroencephalogram (EEG)+6