SleepLiteCNN: Energy-Efficient Sleep Apnea Subtype Classification with 1-Second Resolution Using Single-Lead ECG
Fuente:
arXiv
Saved in:
| Main Authors: | Mohammadi, Zahra, Mohammadi, Siamak |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
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)
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)
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)
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)
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)
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)
Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB
by: Masrur, Saad, et al.
Published: (2024)
by: Masrur, Saad, et al.
Published: (2024)
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
by: Chen, Jiarong, et al.
Published: (2024)
by: Chen, Jiarong, et al.
Published: (2024)
Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
by: Toosi, Maedeh H., et al.
Published: (2026)
by: Toosi, Maedeh H., et al.
Published: (2026)
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)
Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals
by: Soleimani, Majid, et al.
Published: (2025)
by: Soleimani, Majid, et al.
Published: (2025)
Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
by: Apostol, Andrei, et al.
Published: (2025)
by: Apostol, Andrei, et al.
Published: (2025)
Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
by: Jin, Jiarui, et al.
Published: (2025)
by: Jin, Jiarui, et al.
Published: (2025)
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)
NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series
by: Shome, Debaditya, et al.
Published: (2024)
by: Shome, Debaditya, et al.
Published: (2024)
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)
SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment
by: Zhao, Siyuan, et al.
Published: (2025)
by: Zhao, Siyuan, et al.
Published: (2025)
A Complex UNet Approach for Non-Invasive Fetal ECG Extraction Using Single-Channel Dry Textile Electrodes
by: Orvas, Iulia, et al.
Published: (2025)
by: Orvas, Iulia, 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)
Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)
by: Goerttler, Stephan, et al.
Published: (2025)
Electrocardiogram Classification with Transformers Using Koopman and Wavelet Features
by: Ghosh, Sucheta, et al.
Published: (2026)
by: Ghosh, Sucheta, et al.
Published: (2026)
Explainable Parallel CNN-LSTM Model for Differentiating Ventricular Tachycardia from Supraventricular Tachycardia with Aberrancy in 12-Lead ECGs
by: Teimouri-Jervekani, Zahra, et al.
Published: (2025)
by: Teimouri-Jervekani, Zahra, et al.
Published: (2025)
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)
by: Kang, Lei, et al.
Published: (2025)
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
by: Lee, Cheol-Hui, et al.
Published: (2025)
by: Lee, Cheol-Hui, et al.
Published: (2025)
Accurate Radar-Based Detection of Sleep Apnea Using Overlapping Time-Interval Averaging
by: Hasegawa, Kodai, et al.
Published: (2025)
by: Hasegawa, Kodai, et al.
Published: (2025)
Detection of Sleep Apnea-Hypopnea Events Using Millimeter-wave Radar and Pulse Oximeter
by: Wang, Wei, et al.
Published: (2024)
by: Wang, Wei, et al.
Published: (2024)
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
by: Yu, Han, et al.
Published: (2024)
by: Yu, Han, et al.
Published: (2024)
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
by: Khalid, Maryam, et al.
Published: (2024)
by: Khalid, Maryam, et al.
Published: (2024)
Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
by: Buzelin, Arthur, et al.
Published: (2025)
by: Buzelin, Arthur, et al.
Published: (2025)
A Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
by: Shuvo, Samiul Based, et al.
Published: (2025)
by: Shuvo, Samiul Based, et al.
Published: (2025)
Classification of Heart Sounds Using Multi-Branch Deep Convolutional Network and LSTM-CNN
by: Latifi, Seyed Amir, et al.
Published: (2024)
by: Latifi, Seyed Amir, et al.
Published: (2024)
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)
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning
by: Lee, Seongju, et al.
Published: (2022)
by: Lee, Seongju, et al.
Published: (2022)
MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
by: Shabanpour, Mehran, et al.
Published: (2025)
by: Shabanpour, Mehran, et al.
Published: (2025)
PulseFi: A Low Cost Robust Machine Learning System for Accurate Cardiopulmonary and Apnea Monitoring Using Channel State Information
by: Kocheta, Pranay, et al.
Published: (2025)
by: Kocheta, Pranay, et al.
Published: (2025)
SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
by: Attia, Shirel, et al.
Published: (2024)
by: Attia, Shirel, 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)
Low-Complexity CNN-Based Classification of Electroneurographic Signals
by: Gokdag, Arek Berc, et al.
Published: (2025)
by: Gokdag, Arek Berc, et al.
Published: (2025)
Similar Items
-
Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
by: Mohammadi, Zahra, et al.
Published: (2025) -
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, 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) -
Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
by: Hardarson, Emil, et al.
Published: (2026) -
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
by: Na, Younghoon, et al.
Published: (2025)