SOTAVerified

Sleep Quality

( Image credit: DeepSleep )

Papers

Showing 125 of 61 papers

TitleStatusHype
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep HealthCode1
DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep LearningCode1
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Advanced sleep spindle identification with neural networksCode1
Quantified Sleep: Machine learning techniques for observational n-of-1 studiesCode1
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
Effect of caffeine and energy drinks on sleep quality and brain activity in college studentsCode0
Long-term consequences of COVID-19 on sleep, mental health, fatigue, and cognition: a preliminary studyCode0
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep StagingCode0
ZzzGPT: An Interactive GPT Approach to Enhance Sleep QualityCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable SensorCode0
Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary studyCode0
PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress LevelCode0
Deepsleep: Fast and Accurate Delineation of Sleep Arousals at Millisecond Resolution by Deep LearningCode0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling0
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations0
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals0
Automated Detection of Rest Disruptions in Critically Ill Patients0
Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing0
Exploration of LLMs, EEG, and behavioral data to measure and support attention and sleep0
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAccuracy75Unverified