Cover Image

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goerttler, Stephan, Wang, Yucheng, Eldele, Emadeldeen, Wu, Min, He, Fei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Retrieving Filter Spectra in CNN for Explainable Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)

Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
by: Goerttler, Stephan, et al.
Published: (2024)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
by: Ye, Haili, et al.
Published: (2024)

Understanding Concepts in Graph Signal Processing for Neurophysiological Signal Analysis
by: Goerttler, Stephan, et al.
Published: (2023)

Doppler Invariant CNN for Signal Classification
by: Bagchi, Avi, et al.
Published: (2025)

ULW-SleepNet: An Ultra-Lightweight Network for Multimodal Sleep Stage Scoring
by: Wang, Zhaowen, et al.
Published: (2026)

Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
by: Goerttler, Stephan, et al.
Published: (2024)

Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability
by: Sharma, Shivam, et al.
Published: (2023)

A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
by: Kavianpour, Parisa, et al.
Published: (2021)

Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification
by: Islam, Md Zobaer, et al.
Published: (2023)

Low-Complexity CNN-Based Classification of Electroneurographic Signals
by: Gokdag, Arek Berc, 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)

Generalizable Sleep Staging via Multi-Level Domain Alignment
by: Wang, Jiquan, et al.
Published: (2023)

Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
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)

From Sleep Staging to Spindle Detection: A Case Study on End-to-End Automated Sleep Analysis
by: Grieger, Niklas, et al.
Published: (2025)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
by: Peng, Wei, 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)

A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
by: Hoang, Minh Tu, et al.
Published: (2020)

WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging
by: Pei, Yan, et al.
Published: (2024)

BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)

On Improving PPG-Based Sleep Staging: A Pilot Study
by: Wang, Jiawei, et al.
Published: (2025)

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
by: Kazemi, Kianoosh, 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)

Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
by: Mohammadi, Zahra, et al.
Published: (2025)

Contrastive Learning for Sleep Staging based on Inter Subject Correlation
by: Zhang, Tongxu, et al.
Published: (2023)

Fusing Global and Local: Transformer-CNN Synergy for Next-Gen Current Estimation
by: Huang, Junlang, et al.
Published: (2025)

Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning
by: Alam, Tasfiq E., et al.
Published: (2025)

ECNN: A Low-complex, Adjustable CNN for Industrial Pump Monitoring Using Vibration Data
by: Ney, Jonas, 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)

A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis
by: Buzelin, Arthur, et al.
Published: (2025)

Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture
by: Brown, Samuel B., et al.
Published: (2024)

NeuroSleep: Neuromorphic Event-Driven Single-Channel EEG Sleep Staging for Edge-Efficient Sensing
by: Li, Boyu, et al.
Published: (2026)

A Deep Generative Model for Five-Class Sleep Staging with Arbitrary Sensor Input
by: van Gorp, Hans, et al.
Published: (2024)

Short-term power load forecasting method based on CNN-SAEDN-Res
by: Cui, Yang, et al.
Published: (2023)

The Breakthrough of Sleep: A Contactless Approach for Accurate Sleep Stage Detection Using the Sleepal AI Lamp
by: Diao, Zhuo, et al.
Published: (2026)

Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
by: Lala, Sayeri, et al.
Published: (2024)

EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network
by: Tazaki, Rina, et al.
Published: (2025)

Lightweight Multi-task CNN for ECG Diagnosis with GRU-Diffusion
by: Xu, Lehuai, et al.
Published: (2025)