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Sleep Quality

( Image credit: DeepSleep )

Papers

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Showing 1–50 of 61 papers

TitleStatusHype
Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control—0
Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors—0
NeuroPal: A Clinically-Informed Multimodal LLM Assistant for Mental Health Combining Sleep Chronotherapy, Cognitive Behavioral Reframing, and Adaptive Phytochemical Intervention—0
Long-term consequences of COVID-19 on sleep, mental health, fatigue, and cognition: a preliminary studyCode0
SleepGMUformer: A gated multimodal temporal neural network for sleep staging—0
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach—0
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress LevelCode0
Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals—0
Revealing the Self: Brainwave-Based Human Trait Identification—0
Heartbeat Detection from Ballistocardiogram using Transformer Network—0
The Interplay Between Physical Activity, Protein Consumption, and Sleep Quality in Muscle Protein Synthesis—0
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications—0
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep StagingCode0
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting—0
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep—0
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life—0
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep HealthCode1
Effect of caffeine and energy drinks on sleep quality and brain activity in college studentsCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Towards a Personal Health Large Language Model—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis of Sleep Disorders with Bidirectional Mamba—0
Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary studyCode0
Privacy Protected Contactless Cardio-respiratory Monitoring using Defocused Cameras during Sleep—0
Supportive psychotherapy on insomnia induced by COVID-19; Evaluation of patients and hospital staff—0
ZzzGPT: An Interactive GPT Approach to Enhance Sleep QualityCode0
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability—0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals—0
EEG-based Sleep Staging with Hybrid Attention—0
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning—0
Integration of Feature Selection Techniques using a Sleep Quality Dataset for Comparing Regression Algorithms—0
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations—0
Development of Personalized Sleep Induction System based on Mental States—0
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features—0
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio—0
Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing—0
DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep LearningCode1
Advanced sleep spindle identification with neural networksCode1
MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable SensorCode0
PARIS: Personalized Activity Recommendation for Improving Sleep Quality—0
Quantified Sleep: Machine learning techniques for observational n-of-1 studiesCode1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
Sleep quality, chronotype and social jet lag of adolescents from a population with a very late chronotype—0
Detecting Signatures of Early-stage Dementia with Behavioural Models Derived from Sensor Data—0
An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety—0
Automated Detection of Rest Disruptions in Critically Ill Patients—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAccuracy75—Unverified