SOTAVerified

Sleep Quality

( Image credit: DeepSleep )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 61 papers

TitleStatusHype
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep HealthCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep LearningCode1
Advanced sleep spindle identification with neural networksCode1
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
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
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
Effect of caffeine and energy drinks on sleep quality and brain activity in college studentsCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAccuracy75—Unverified