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Sleep Quality

( Image credit: DeepSleep )

Papers

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Showing 1–50 of 61 papers

TitleStatusHype
An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEGCode1
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
Advanced sleep spindle identification with neural networksCode1
DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep LearningCode1
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG DataCode1
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep HealthCode1
Long-term consequences of COVID-19 on sleep, mental health, fatigue, and cognition: a preliminary studyCode0
MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable SensorCode0
DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signalCode0
ZzzGPT: An Interactive GPT Approach to Enhance Sleep QualityCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Effect of caffeine and energy drinks on sleep quality and brain activity in college studentsCode0
Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary studyCode0
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep StagingCode0
Deepsleep: Fast and Accurate Delineation of Sleep Arousals at Millisecond Resolution by Deep LearningCode0
PixleepFlow: A Pixel-Based Lifelog Framework for Predicting Sleep Quality and Stress LevelCode0
Impact of Physical Activity on Sleep:A Deep Learning Based Exploration—0
Integration of Feature Selection Techniques using a Sleep Quality Dataset for Comparing Regression Algorithms—0
Monitoring and Improving Personalized Sleep Quality from Long-Term Lifelogs—0
MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis of Sleep Disorders with Bidirectional Mamba—0
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach—0
Multi-Task Learning for Arousal and Sleep Stage Detection Using Fully Convolutional Networks—0
NeuroPal: A Clinically-Informed Multimodal LLM Assistant for Mental Health Combining Sleep Chronotherapy, Cognitive Behavioral Reframing, and Adaptive Phytochemical Intervention—0
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications—0
PARIS: Personalized Activity Recommendation for Improving Sleep Quality—0
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio—0
Privacy Protected Contactless Cardio-respiratory Monitoring using Defocused Cameras during Sleep—0
Quantifying Itch and its Impact on Sleep Using Machine Learning and Radio Signals—0
Revealing the Self: Brainwave-Based Human Trait Identification—0
Robust Automated Human Activity Recognition and its Application to Sleep Research—0
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features—0
SleepGMUformer: A gated multimodal temporal neural network for sleep staging—0
Sleep Position Classification using Transfer Learning for Bed-based Pressure Sensors—0
Sleep quality, chronotype and social jet lag of adolescents from a population with a very late chronotype—0
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning—0
Sleep Stage Classification Using Bidirectional LSTM in Wearable Multi-sensor Systems—0
Supportive psychotherapy on insomnia induced by COVID-19; Evaluation of patients and hospital staff—0
1D Convolutional Neural Network Models for Sleep Arousal Detection—0
The Interplay Between Physical Activity, Protein Consumption, and Sleep Quality in Muscle Protein Synthesis—0
Toward estimating personal well-being using voice—0
Towards a Personal Health Large Language Model—0
Toward Sensor-based Sleep Monitoring with Electrodermal Activity Measures—0
Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control—0
The Dreem Headband as an Alternative to Polysomnography for EEG Signal Acquisition and Sleep Staging—0
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life—0
A Closed-loop Sleep Modulation System with FPGA-Accelerated Deep Learning—0
Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAccuracy75—Unverified