Cargando…

Hierarchical fusion detection algorithm for sleep spindle detection

BACKGROUND: Sleep spindles are a vital sign implying that human beings have entered the second stage of sleep. In addition, they can effectively reflect a person’s learning and memory ability, and clinical research has shown that their quantity and density are crucial markers of brain function. The...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Chao, Meng, Jiayuan, Belkacem, Abdelkader Nasreddine, Lu, Lin, Liu, Fengyue, Yi, Weibo, Li, Penghai, Liang, Jun, Huang, Zhaoyang, Ming, Dong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035334/ https://www.ncbi.nlm.nih.gov/pubmed/36968486 http://dx.doi.org/10.3389/fnins.2023.1105696

Ejemplares similares

A comparative analysis of sleep spindle characteristics of sleep-disordered patients and normal subjects
por: Chen, Chao, et al.
Publicado: (2023)

Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI
por: Li, Penghai, et al.
Publicado: (2022)

Corrigendum: Multi-person feature fusion transfer learning-based convolutional neural network for SSVEP-based collaborative BCI
por: Li, Penghai, et al.
Publicado: (2022)

Efficacy Evaluation of Neurofeedback-Based Anxiety Relief
por: Chen, Chao, et al.
Publicado: (2021)

An improved multi-input deep convolutional neural network for automatic emotion recognition
por: Chen, Peiji, et al.
Publicado: (2022)

Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms
por: Liu, Min-Yin, et al.
Publicado: (2017)

Combining time-frequency and spatial information for the detection of sleep spindles
por: O'Reilly, Christian, et al.
Publicado: (2015)

Brain Computer Interfaces for Improving the Quality of Life of Older Adults and Elderly Patients
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2020)

Motor Imagination of Lower Limb Movements at Different Frequencies
por: Liu, Yingtao, et al.
Publicado: (2021)

Single-trial P300 classification algorithm based on centralized multi-person data fusion CNN
por: Du, Pu, et al.
Publicado: (2023)

On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2023)

Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets
por: Shuqfa, Zaid, et al.
Publicado: (2023)

End-to-End AI-Based Point-of-Care Diagnosis System for Classifying Respiratory Illnesses and Early Detection of COVID-19: A Theoretical Framework
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2021)

Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform
por: Adamczyk, Marek, et al.
Publicado: (2015)

Editorial: Cognitive and Motor Control Based on Brain-Computer Interfaces for Improving the Health and Well-Being in Older Age
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2022)

Automatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools
por: O'Reilly, Christian, et al.
Publicado: (2015)

Decoding of Covert Vowel Articulation Using Electroencephalography Cortical Currents
por: Yoshimura, Natsue, et al.
Publicado: (2016)

Prediction of balance function for stroke based on EEG and fNIRS features during ankle dorsiflexion
por: Liang, Jun, et al.
Publicado: (2022)

Neural Processing Mechanism of Mental Calculation Based on Cerebral Oscillatory Changes: A Comparison Between Abacus Experts and Novices
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2020)

Sleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysis
por: Lajnef, Tarek, et al.
Publicado: (2015)

Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization
por: Ray, Laura B., et al.
Publicado: (2015)

A Fusion Algorithm of Object Detection and Tracking for Unmanned Surface Vehicles
por: Zhou, Zhiguo, et al.
Publicado: (2022)

Sleep Spindles Predict Stress-Related Increases in Sleep Disturbances
por: Dang-Vu, Thien Thanh, et al.
Publicado: (2015)

Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing
por: Tsanas, Athanasios, et al.
Publicado: (2015)

Sleep spindle alterations in patients with Parkinson's disease
por: Christensen, Julie A. E., et al.
Publicado: (2015)

Editorial: Sleep Spindles: Breaking the Methodological Wall
por: O'Reilly, Christian, et al.
Publicado: (2017)

Automated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies
por: Ktonas, Periklis Y., et al.
Publicado: (2014)

A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies
por: Ujma, Péter Przemyslaw, et al.
Publicado: (2015)

Learning parallel and hierarchical mechanisms for edge detection
por: Zhou, Ling, et al.
Publicado: (2023)

Sleep spindle maturity promotes slow oscillation-spindle coupling across child and adolescent development
por: Joechner, Ann-Kathrin, et al.
Publicado: (2023)

Spatiotemporal Dynamics of Sleep Spindle Sources Across NREM Sleep Cycles
por: Alfonsi, Valentina, et al.
Publicado: (2019)

Noninvasive Electroencephalogram Based Control of a Robotic Arm for Writing Task Using Hybrid BCI System
por: Gao, Qiang, et al.
Publicado: (2017)

Visuomotor Adaptation Modulates the Clustering of Sleep Spindles Into Trains
por: Solano, Agustín, et al.
Publicado: (2022)

Discriminating Sleep From Freezing With Cortical Spindle Oscillations
por: Pompili, Marco N., et al.
Publicado: (2022)

Corrigendum: A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies
por: Ujma, Péter P., et al.
Publicado: (2015)

Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS)
por: Lajnef, Tarek, et al.
Publicado: (2017)

EEG-Based Anxious States Classification Using Affective BCI-Based Closed Neurofeedback System
por: Chen, Chao, et al.
Publicado: (2021)

On enhancing students’ cognitive abilities in online learning using brain activity and eye movements
por: Jamil, Nuraini, et al.
Publicado: (2022)

Assessment of Sleep, K-Complexes, and Sleep Spindles in a T21 Light-Dark Cycle
por: Deibel, Scott H., et al.
Publicado: (2020)

Individual Differences in Frequency and Topography of Slow and Fast Sleep Spindles
por: Cox, Roy, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_irs9hask455ar2hs7skl667919