Cargando…

Automatic neonatal sleep stage classification: A comparative study

Sleep is an essential feature of living beings. For neonates, it is vital for their mental and physical development. Sleep stage cycling is an important parameter to assess neonatal brain and physical development. Therefore, it is crucial to administer newborn's sleep in the neonatal intensive...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abbasi, Saadullah Farooq, Abbas, Awais, Ahmad, Iftikhar, Alshehri, Mohammed S., Almakdi, Sultan, Ghadi, Yazeed Yasin, Ahmad, Jawad
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695968/ http://dx.doi.org/10.1016/j.heliyon.2023.e22195

Ejemplares similares

Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
por: Awais, Muhammad, et al.
Publicado: (2020)

Automatic computer science domain multiple-choice questions generation based on informative sentences
por: Maheen, Farah, et al.
Publicado: (2022)

Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning
por: Ghadi, Yazeed, et al.
Publicado: (2021)

Fast Convolutional Method for Automatic Sleep Stage Classification
por: Yulita, Intan Nurma, et al.
Publicado: (2018)

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

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring
por: Ghadi, Yazeed Yasin, et al.
Publicado: (2022)

Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification
por: Arshad, Tahir, et al.
Publicado: (2023)

Hyperspectral Image Classification with Optimized Compressed Synergic Deep Convolution Neural Network with Aquila Optimization
por: Subba Reddy, Tatireddy, et al.
Publicado: (2022)

Multi-Person Tracking and Crowd Behavior Detection via Particles Gradient Motion Descriptor and Improved Entropy Classifier
por: Abdullah, Faisal, et al.
Publicado: (2021)

An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model
por: Ullah, Naeem, et al.
Publicado: (2023)

Lung Cancer Classification in Histopathology Images Using Multiresolution Efficient Nets
por: Anjum, Sunila, et al.
Publicado: (2023)

A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering
por: Ullah, Safi, et al.
Publicado: (2022)

Automatic Sleep Stage Classification of Children with Sleep-Disordered Breathing Using the Modularized Network
por: Wang, Huijun, et al.
Publicado: (2021)

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

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

IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3
por: Bilal, Anas, et al.
Publicado: (2022)

Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques
por: Rasheed, Zahid, et al.
Publicado: (2023)

An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization
por: Naveed, Quadri Noorulhasan, et al.
Publicado: (2022)

Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study
por: Najdi, Shirin, et al.
Publicado: (2017)

An Automatic Sleep Stage Classification Algorithm Using Improved Model Based Essence Features
por: Shen, Huaming, et al.
Publicado: (2020)

A novel approach to automatic sleep stage classification using forehead electrophysiological signals
por: Guo, Hengyan, et al.
Publicado: (2022)

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques
por: Aamir, Sanam, et al.
Publicado: (2022)

An efficient optimizer for the 0/1 knapsack problem using group counseling
por: Ghadi, Yazeed Yasin, et al.
Publicado: (2023)

Automated Classification of Brain Tumors from Magnetic Resonance Imaging Using Deep Learning
por: Rasheed, Zahid, et al.
Publicado: (2023)

Real-time, automatic, open-source sleep stage classification system using single EEG for mice
por: Tezuka, Taro, et al.
Publicado: (2021)

Automatic and Accurate Sleep Stage Classification via a Convolutional Deep Neural Network and Nanomembrane Electrodes
por: Kwon, Kangkyu, et al.
Publicado: (2022)

Automatic sleep staging using ear-EEG
por: Mikkelsen, Kaare B., et al.
Publicado: (2017)

Multi-Branch Convolutional Neural Network for Automatic Sleep Stage Classification with Embedded Stage Refinement and Residual Attention Channel Fusion
por: Zhu, Tianqi, et al.
Publicado: (2020)

P137 Deep learning enables accurate automatic sleep stage classification in a clinical paediatric population
por: Somaskandhan, P, et al.
Publicado: (2021)

Revolutionizing Diabetes Diagnosis: Machine Learning Techniques Unleashed
por: Shaukat, Zain, et al.
Publicado: (2023)

Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques
por: Ahmad, Mehran, et al.
Publicado: (2023)

Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks
por: Shah, Sayyed Mudassar, et al.
Publicado: (2023)

Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep
por: Largo, R., et al.
Publicado: (2019)

Intelligent ADL Recognition via IoT-Based Multimodal Deep Learning Framework
por: Javeed, Madiha, et al.
Publicado: (2023)

A video summarization framework based on activity attention modeling using deep features for smart campus surveillance system
por: Muhammad, Wasim, et al.
Publicado: (2022)

Automatic Sleep Staging Algorithm Based on Time Attention Mechanism
por: Feng, Li-Xiao, et al.
Publicado: (2021)

Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)

Current status and prospects of automatic sleep stages scoring: Review
por: Gaiduk, Maksym, et al.
Publicado: (2023)

Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features
por: Shamsan, Ahlam, et al.
Publicado: (2023)

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

Cannot write session to /tmp/vufind_sessions/sess_udj06i4urlmmcpd0uqfu6kus29