Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
Fuente:
arXiv
Saved in:
| Main Authors: | Mohammadi, Zahra, Fazel, Parnian, Mohammadi, Siamak |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SleepLiteCNN: Energy-Efficient Sleep Apnea Subtype Classification with 1-Second Resolution Using Single-Lead ECG
by: Mohammadi, Zahra, et al.
Published: (2025)
by: Mohammadi, Zahra, et al.
Published: (2025)
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)
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)
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
by: Sharma, Shivam, et al.
Published: (2023)
by: Sharma, Shivam, et al.
Published: (2023)
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)
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
by: Pradeepkumar, Jathurshan, et al.
Published: (2022)
by: Pradeepkumar, Jathurshan, et al.
Published: (2022)
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)
On Improving PPG-Based Sleep Staging: A Pilot Study
by: Wang, Jiawei, et al.
Published: (2025)
by: Wang, Jiawei, et al.
Published: (2025)
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)
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)
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)
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
by: Pei, Yan, et al.
Published: (2024)
by: Pei, Yan, et al.
Published: (2024)
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)
by: Zhou, Xinliang, et al.
Published: (2024)
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)
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)
Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals
by: Askari, Sahar, et al.
Published: (2026)
by: Askari, Sahar, et al.
Published: (2026)
Generalizable Sleep Staging via Multi-Level Domain Alignment
by: Wang, Jiquan, et al.
Published: (2023)
by: Wang, Jiquan, et al.
Published: (2023)
Contrastive Learning for Sleep Staging based on Inter Subject Correlation
by: Zhang, Tongxu, et al.
Published: (2023)
by: Zhang, Tongxu, et al.
Published: (2023)
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)
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)
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)
AnySleep: a channel-agnostic deep learning system for high-resolution sleep staging in multi-center cohorts
by: Grieger, Niklas, et al.
Published: (2025)
by: Grieger, Niklas, et al.
Published: (2025)
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing
by: Arjomand, Amir, et al.
Published: (2024)
by: Arjomand, Amir, et al.
Published: (2024)
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
by: Mansourian, Nastaran, et al.
Published: (2025)
by: Mansourian, Nastaran, et al.
Published: (2025)
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)
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)
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)
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
by: Foumani, Navid Mohammadi, et al.
Published: (2024)
by: Foumani, Navid Mohammadi, 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)
A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
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)
Deep Neural Network Architectures for Electrocardiogram Classification: A Comprehensive Evaluation
by: Song, Yun, et al.
Published: (2026)
by: Song, Yun, et al.
Published: (2026)
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
by: Siddiqi, Muhammad Ali, et al.
Published: (2023)
by: Siddiqi, Muhammad Ali, et al.
Published: (2023)
CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces
by: Kianfar, Ghazaleh, et al.
Published: (2025)
by: Kianfar, Ghazaleh, et al.
Published: (2025)
Masked Autoencoder with Swin Transformer Network for Mitigating Electrode Shift in HD-EMG-based Gesture Recognition
by: Laamerad, Kasra, et al.
Published: (2024)
by: Laamerad, Kasra, et al.
Published: (2024)
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)
Fetal Sleep: A Cross-Species Review of Physiology, Measurement, and Classification
by: Tang, Weitao, et al.
Published: (2025)
by: Tang, Weitao, 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)
MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
by: Lin, Jie, et al.
Published: (2024)
by: Lin, Jie, et al.
Published: (2024)
Similar Items
-
SleepLiteCNN: Energy-Efficient Sleep Apnea Subtype Classification with 1-Second Resolution Using Single-Lead ECG
by: Mohammadi, Zahra, et al.
Published: (2025) -
Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
by: Toosi, Maedeh H., 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) -
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
by: Sharma, Shivam, et al.
Published: (2023) -
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)