Cargando…

A Deep Transfer Learning Framework for Sleep Stage Classification with Single-Channel EEG Signals

The polysomnogram (PSG) is the gold standard for evaluating sleep quality and disorders. Attempts to automate this process have been hampered by the complexity of the PSG signals and heterogeneity among subjects and recording hardwares. Most of the existing methods for automatic sleep stage scoring...

Descripción completa

Detalles Bibliográficos
Autores principales:	ElMoaqet, Hisham, Eid, Mohammad, Ryalat, Mutaz, Penzel, Thomas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693852/ https://www.ncbi.nlm.nih.gov/pubmed/36433422 http://dx.doi.org/10.3390/s22228826

Ejemplares similares

Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals
por: ElMoaqet, Hisham, et al.
Publicado: (2020)

An Improved Passivity-based Control of Electrostatic MEMS Device
por: Ryalat, Mutaz, et al.
Publicado: (2020)

Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms
por: Ibrahim, Mariam, et al.
Publicado: (2020)

Recurrent Deep Neural Networks for Real-Time Sleep Stage Classification From Single Channel EEG
por: Bresch, Erik, et al.
Publicado: (2018)

Single‐channel EEG classification of sleep stages based on REM microstructure
por: Rechichi, Irene, et al.
Publicado: (2021)

A Deep Learning Method Approach for Sleep Stage Classification with EEG Spectrogram
por: Li, Chengfan, et al.
Publicado: (2022)

Spotlight on Sleep Stage Classification Based on EEG
por: Lambert, Isabelle, et al.
Publicado: (2023)

A Holistic Strategy for Classification of Sleep Stages with EEG
por: Prabhakar, Sunil Kumar, et al.
Publicado: (2022)

Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals
por: Li, Dezhao, et al.
Publicado: (2022)

Multi-stage sleep classification using photoplethysmographic sensor
por: Motin, Mohammod Abdul, et al.
Publicado: (2023)

A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
por: Radha, Mustafa, et al.
Publicado: (2021)

REM Sleep Stage Identification with Raw Single-Channel EEG
por: Toban, Gabriel, et al.
Publicado: (2023)

Data-Driven Prediction for COVID-19 Severity in Hospitalized Patients
por: Alrajhi, Abdulrahman A., et al.
Publicado: (2022)

A Deep Learning Strategy for Automatic Sleep Staging Based on Two-Channel EEG Headband Data
por: Casciola, Amelia A., et al.
Publicado: (2021)

A hybrid self-attention deep learning framework for multivariate sleep stage classification
por: Yuan, Ye, et al.
Publicado: (2019)

A Comparison Study on Multidomain EEG Features for Sleep Stage Classification
por: Zhang, Yu, et al.
Publicado: (2017)

Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy
por: Gangstad, Sirin W., et al.
Publicado: (2019)

Evaluation of a Single-Channel EEG-Based Sleep Staging Algorithm
por: Zhao, Shanguang, et al.
Publicado: (2022)

COVID-19 Intelligence-Driven Operational Response Platform: Experience of a Large Tertiary Multihospital System in the Middle East
por: Alswailem, Osama A., et al.
Publicado: (2021)

CAttSleepNet: Automatic End-to-End Sleep Staging Using Attention-Based Deep Neural Networks on Single-Channel EEG
por: Li, Tingting, et al.
Publicado: (2022)

EEG Classification of Motor Imagery Using a Novel Deep Learning Framework
por: Dai, Mengxi, et al.
Publicado: (2019)

Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Publicado: (2018)

A Fast, Open EEG Classification Framework Based on Feature Compression and Channel Ranking
por: Han, Jiuqi, et al.
Publicado: (2018)

CCRRSleepNet: A Hybrid Relational Inductive Biases Network for Automatic Sleep Stage Classification on Raw Single-Channel EEG
por: Neng, Wenpeng, et al.
Publicado: (2021)

Multi-Layer Graph Attention Network for Sleep Stage Classification Based on EEG
por: Wang, Qi, et al.
Publicado: (2022)

Staging study of single-channel sleep EEG signals based on data augmentation
por: Ling, Huang, et al.
Publicado: (2022)

Identification of memory reactivation during sleep by EEG classification
por: Belal, Suliman, et al.
Publicado: (2018)

Visualization of Whole-Night Sleep EEG From 2-Channel Mobile Recording Device Reveals Distinct Deep Sleep Stages with Differential Electrodermal Activity
por: Onton, Julie A., et al.
Publicado: (2016)

Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms
por: Nazih, Waleed, et al.
Publicado: (2023)

EOGNET: A Novel Deep Learning Model for Sleep Stage Classification Based on Single-Channel EOG Signal
por: Fan, Jiahao, et al.
Publicado: (2021)

Comparison of deep transfer learning algorithms and transferability measures for wearable sleep staging
por: Waters, Samuel H., et al.
Publicado: (2022)

Mixed-Input Deep Learning Approach to Sleep/Wake State Classification by Using EEG Signals
por: Hasan, Md. Nazmul, et al.
Publicado: (2023)

Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
por: Yang, Chia-Yen, et al.
Publicado: (2023)

L-Tetrolet Pattern-Based Sleep Stage Classification Model Using Balanced EEG Datasets
por: Barua, Prabal Datta, et al.
Publicado: (2022)

An end-to-end framework for real-time automatic sleep stage classification
por: Patanaik, Amiya, et al.
Publicado: (2018)

A Siamese Network-Based Method for Improving the Performance of Sleep Staging with Single-Channel EEG
por: You, Yuyang, et al.
Publicado: (2023)

EEG Classification of Normal and Alcoholic by Deep Learning
por: Li, Houchi, et al.
Publicado: (2022)

Review of EEG-based pattern classification frameworks for dyslexia
por: Perera, Harshani, et al.
Publicado: (2018)

Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening
por: Kang, Chaewon, et al.
Publicado: (2023)

An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface
por: Wang, Xuying, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_fii1s7l08fs2m1sh1q638hjul8