Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
Fuente:
arXiv
Saved in:
| Main Authors: | Sharma, Shivam, Maiti, Suvadeep, Mythirayee, S., Rajendran, Srijithesh, Bapi, Raju Surampudi |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Generalisation Gap In Comorbid Sleep Disorder Staging
by: Bose, Saswata, et al.
Published: (2026)
by: Bose, Saswata, et al.
Published: (2026)
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)
by: Zhou, Xinliang, et al.
Published: (2024)
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
by: Pei, Yan, et al.
Published: (2024)
by: Pei, Yan, et al.
Published: (2024)
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
by: Pradeepkumar, Jathurshan, et al.
Published: (2022)
by: Pradeepkumar, Jathurshan, et al.
Published: (2022)
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
by: Seraphim, Mathieu, et al.
Published: (2024)
by: Seraphim, Mathieu, et al.
Published: (2024)
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)
by: Aghaomidi, Poorya, et al.
Published: (2024)
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach
by: Kazemi, Kianoosh, et al.
Published: (2025)
by: Kazemi, Kianoosh, et al.
Published: (2025)
NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
by: Samaee, Mahdi, et al.
Published: (2025)
by: Samaee, Mahdi, et al.
Published: (2025)
FetalSleepNet: A Transfer Learning Framework with Spectral Equalisation Domain Adaptation for Fetal Sleep Stage Classification
by: Tang, Weitao, et al.
Published: (2025)
by: Tang, Weitao, et al.
Published: (2025)
NeuroSleep: Neuromorphic Event-Driven Single-Channel EEG Sleep Staging for Edge-Efficient Sensing
by: Li, Boyu, et al.
Published: (2026)
by: Li, Boyu, et al.
Published: (2026)
ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
by: Wang, Zhaowen, et al.
Published: (2026)
by: Wang, Zhaowen, et al.
Published: (2026)
Contrastive Learning for Sleep Staging based on Inter Subject Correlation
by: Zhang, Tongxu, et al.
Published: (2023)
by: Zhang, Tongxu, et al.
Published: (2023)
A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
by: van Gorp, Hans, et al.
Published: (2024)
by: van Gorp, Hans, et al.
Published: (2024)
MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)
by: Goerttler, Stephan, et al.
Published: (2025)
Generalizable Sleep Staging via Multi-Level Domain Alignment
by: Wang, Jiquan, et al.
Published: (2023)
by: Wang, Jiquan, et al.
Published: (2023)
On Improving PPG-Based Sleep Staging: A Pilot Study
by: Wang, Jiawei, et al.
Published: (2025)
by: Wang, Jiawei, et al.
Published: (2025)
SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms
by: Li, Shuzhen, et al.
Published: (2024)
by: Li, Shuzhen, et al.
Published: (2024)
Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
by: Mohammadi, Zahra, et al.
Published: (2025)
by: Mohammadi, Zahra, et al.
Published: (2025)
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
by: Lala, Sayeri, et al.
Published: (2024)
by: Lala, Sayeri, et al.
Published: (2024)
The Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp
by: Diao, Zhuo, et al.
Published: (2026)
by: Diao, Zhuo, et al.
Published: (2026)
From Sleep Staging to Spindle Detection: A Case Study on End-to-End Automated Sleep Analysis
by: Grieger, Niklas, et al.
Published: (2025)
by: Grieger, Niklas, et al.
Published: (2025)
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
by: Lee, Cheol-Hui, et al.
Published: (2024)
by: Lee, Cheol-Hui, et al.
Published: (2024)
Two-Stage Hierarchical and Explainable Feature Selection Framework for Dimensionality Reduction in Sleep Staging
by: Deng, Yangfan, et al.
Published: (2024)
by: Deng, Yangfan, et al.
Published: (2024)
SomnoNet: A Lightweight and Interpretable Framework for Sleep Staging from Single-Channel EEG
by: Guo, Shengwei, et al.
Published: (2024)
by: Guo, Shengwei, et al.
Published: (2024)
Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications
by: Quino, Joseph A. P., et al.
Published: (2024)
by: Quino, Joseph A. P., et al.
Published: (2024)
LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG
by: Liao, Yiqiao, et al.
Published: (2024)
by: Liao, Yiqiao, et al.
Published: (2024)
Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
by: Hardarson, Emil, et al.
Published: (2026)
by: Hardarson, Emil, et al.
Published: (2026)
Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
by: Xie, Donglin, et al.
Published: (2026)
by: Xie, Donglin, et al.
Published: (2026)
StARS DCM: A Sleep Stage-Decoding Forehead EEG Patch for Real-time Modulation of Sleep Physiology
by: Coon, William G., et al.
Published: (2025)
by: Coon, William G., et al.
Published: (2025)
Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)
by: Goerttler, Stephan, et al.
Published: (2025)
Deep Learning-based Automated Diagnosis of Obstructive Sleep Apnea and Sleep Stage Classification in Children Using Millimeter-wave Radar and Pulse Oximeter
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
by: Zhou, Songchi, et al.
Published: (2024)
by: Zhou, Songchi, et al.
Published: (2024)
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
by: Na, Younghoon, et al.
Published: (2025)
by: Na, Younghoon, et al.
Published: (2025)
EEG-GPT: Exploring Capabilities of Large Language Models for EEG Classification and Interpretation
by: Kim, Jonathan W., et al.
Published: (2024)
by: Kim, Jonathan W., et al.
Published: (2024)
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)
by: Thapa, Rahul, et al.
Published: (2024)
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
by: Liu, Xuan-Hao, et al.
Published: (2025)
by: Liu, Xuan-Hao, et al.
Published: (2025)
Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
by: Li, Taida, et al.
Published: (2026)
by: Li, Taida, et al.
Published: (2026)
Personalized Sleep Prediction via Deep Adaptive Spatiotemporal Modeling and Sparse Data
by: Wang, Xueyi, et al.
Published: (2025)
by: Wang, Xueyi, et al.
Published: (2025)
Attentive Dilated Convolution for Automatic Sleep Staging using Force-directed Layout
by: Jobayer, Md, et al.
Published: (2024)
by: Jobayer, Md, et al.
Published: (2024)
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting
by: Arslan, Muhammad, et al.
Published: (2024)
by: Arslan, Muhammad, et al.
Published: (2024)
Similar Items
-
AI Generalisation Gap In Comorbid Sleep Disorder Staging
by: Bose, Saswata, et al.
Published: (2026) -
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024) -
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
by: Pei, Yan, et al.
Published: (2024) -
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
by: Pradeepkumar, Jathurshan, et al.
Published: (2022) -
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
by: Seraphim, Mathieu, et al.
Published: (2024)