Cargando…

A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during Walking

Recording scalp electroencephalography (EEG) during human motion can introduce motion artifacts. Repetitive head movements can generate artifact patterns across scalp EEG sensors. There are many methods for identifying and rejecting bad channels and independent components from EEG datasets, but ther...

Descripción completa

Detalles Bibliográficos
Autores principales:	Oliveira, Anderson S., Schlink, Bryan R., Hairston, W. David, König, Peter, Ferris, Daniel P.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2017
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405125/ https://www.ncbi.nlm.nih.gov/pubmed/28491016 http://dx.doi.org/10.3389/fnins.2017.00225

Ejemplares similares

Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World Measurements
por: Oliveira, Anderson S., et al.
Publicado: (2016)

Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking
por: Nathan, Kevin, et al.
Publicado: (2016)

Independent Component Analysis and Source Localization on Mobile EEG Data Can Identify Increased Levels of Acute Stress
por: Schlink, Bryan R., et al.
Publicado: (2017)

Independent Component Analysis of Gait-Related Movement Artifact Recorded using EEG Electrodes during Treadmill Walking
por: Snyder, Kristine L., et al.
Publicado: (2015)

Signal-Space Projection Suppresses the tACS Artifact in EEG Recordings
por: Vosskuhl, Johannes, et al.
Publicado: (2020)

Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?
por: Melnik, Andrew, et al.
Publicado: (2017)

A Novel Technique to Reject Artifact Components for Surface EMG Signals Recorded During Walking With Transcutaneous Spinal Cord Stimulation: A Pilot Study
por: Kim, Minjae, et al.
Publicado: (2021)

A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings
por: Tamburro, Gabriella, et al.
Publicado: (2018)

Quantifying Signal Quality From Unimodal and Multimodal Sources: Application to EEG With Ocular and Motion Artifacts
por: Nahmias, David O., et al.
Publicado: (2021)

A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling
por: Blum, Sarah, et al.
Publicado: (2019)

iCanClean Removes Motion, Muscle, Eye, and Line-Noise Artifacts from Phantom EEG
por: Downey, Ryan J., et al.
Publicado: (2023)

SRI-EEG: State-Based Recurrent Imputation for EEG Artifact Correction
por: Liu, Yimeng, et al.
Publicado: (2022)

Combining EEG and eye tracking: identification, characterization, and correction of eye movement artifacts in electroencephalographic data
por: Plöchl, Michael, et al.
Publicado: (2012)

Can We Push the “Quasi-Perfect Artifact Rejection” Even Closer to Perfection?
por: Miyakoshi, Makoto, et al.
Publicado: (2021)

Ear-EEG sensitivity modeling for neural sources and ocular artifacts
por: Yarici, Metin C., et al.
Publicado: (2023)

Simultaneous EEG-fMRI: Evaluating the Effect of the EEG Cap-Cabling Configuration on the Gradient Artifact
por: Chowdhury, Muhammad E. H., et al.
Publicado: (2019)

Removal of the Sinusoidal Transorbital Alternating Current Stimulation Artifact From Simultaneous EEG Recordings: Effects of Simple Moving Average Parameters
por: Żebrowska, Małgorzata, et al.
Publicado: (2020)

A semi-simulated EEG/EOG dataset for the comparison of EOG artifact rejection techniques
por: Klados, Manousos A., et al.
Publicado: (2016)

EEG correlates of sensorimotor processing: independent components involved in sensory and motor processing
por: Melnik, Andrew, et al.
Publicado: (2017)

Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications
por: Stone, David B., et al.
Publicado: (2018)

EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization
por: Rusiniak, Mateusz, et al.
Publicado: (2022)

Investigating the effect of modifying the EEG cap lead configuration on the gradient artifact in simultaneous EEG-fMRI
por: Mullinger, Karen J., et al.
Publicado: (2014)

EEG Recorded from the Ear: Characterizing the Ear-EEG Method
por: Mikkelsen, Kaare B., et al.
Publicado: (2015)

DETECT: A MATLAB Toolbox for Event Detection and Identification in Time Series, with Applications to Artifact Detection in EEG Signals
por: Lawhern, Vernon, et al.
Publicado: (2013)

Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer’s Disease Screening from EEG Signals
por: Solé-Casals, Jordi, et al.
Publicado: (2015)

Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
por: Wang, Kai, et al.
Publicado: (2018)

Toward the Understanding of Topographical and Spectral Signatures of Infant Movement Artifacts in Naturalistic EEG
por: Georgieva, Stanimira, et al.
Publicado: (2020)

High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
por: Muthukumaraswamy, Suresh D.
Publicado: (2013)

Gaussian Elimination-Based Novel Canonical Correlation Analysis Method for EEG Motion Artifact Removal
por: Roy, Vandana, et al.
Publicado: (2017)

Learning based motion artifacts processing in fNIRS: a mini review
por: Zhao, Yunyi, et al.
Publicado: (2023)

Characterizing and Removing Artifacts Using Dual-Layer EEG during Table Tennis
por: Studnicki, Amanda, et al.
Publicado: (2022)

A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG
por: Chen, Xun, et al.
Publicado: (2014)

Removal of EOG Artifacts from EEG Recordings Using Stationary Subspace Analysis
por: Zeng, Hong, et al.
Publicado: (2014)

Automated pipeline for EEG artifact reduction (APPEAR) recorded during fMRI
por: Mayeli, Ahmad, et al.
Publicado: (2021)

Optimization of Real-Time EEG Artifact Removal and Emotion Estimation for Human-Robot Interaction Applications
por: Val-Calvo, Mikel, et al.
Publicado: (2019)

Physiological artifacts in scalp EEG and ear-EEG
por: Kappel, Simon L., et al.
Publicado: (2017)

Sustained Attention in Real Classroom Settings: An EEG Study
por: Ko, Li-Wei, et al.
Publicado: (2017)

Multimodal Imaging of Brain Activity to Investigate Walking and Mobility Decline in Older Adults (Mind in Motion Study): Hypothesis, Theory, and Methods
por: Clark, David J., et al.
Publicado: (2020)

A Systematic Comparison of Motion Artifact Correction Techniques for Functional Near-Infrared Spectroscopy
por: Cooper, Robert J., et al.
Publicado: (2012)

Corrigendum: Multimodal Imaging of Brain Activity to Investigate Walking and Mobility Decline in Older Adults (Mind in Motion Study): Hypothesis, Theory, and Methods
por: Clark, David J., et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ud15i12t7fm3im871dnqsduk2f