Full Text Journal Articles about
EEG Artifacts

Advertisement

Find full text journal articles






Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications.

Hermann Hinrichs, Michael Scholz, Anne Katrin Baum, Julia W. Y. Kam, Robert T. Knight, Hans-Jochen Heinze,

Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems. However, the question remains whether the signal quality of dry electrode recordings is comparable to wet electrode recordings in the clinical context. We recorded the resting state EEG (rsEEG), the ... Read more >>

Sci Rep (Scientific reports)
[2020, 10:]

Cited: 0 times

View full text PDF listing >>



Optimal artifact suppression in simultaneous electrocorticography stimulation and recording for bi-directional brain-computer interface applications.

Haoran Pu, Jeffrey Lim, Spencer Kellis, Charles Liu, Richard A Andersen, An Do, Payam Heydari, Zoran Nenadic,

OBJECTIVE:Electrocorticogram (ECoG)-based brain-computer interfaces (BCIs) are a promising platform for the restoration of motor and sensory functions to those with neurological deficits. Such bi-directional BCI operation necessitates simultaneous ECoG recording and stimulation, which is challenging given the presence of strong stimulation artifacts. This problem is exacerbated if the BCI's analog ... Read more >>

J Neural Eng (Journal of neural engineering)
[2020, :]

Cited: 0 times

View full text PDF listing >>



Advertisement

Adjusting ADJUST: Optimizing the ADJUST algorithm for pediatric data using geodesic nets.

Stephanie C Leach, Santiago Morales, Maureen E Bowers, George A Buzzell, Ranjan Debnath, Daniel Beall, Nathan A Fox,

A major challenge for electroencephalograph (EEG) studies on pediatric populations is that large amounts of data are lost due to artifacts (e.g., movement and blinks). Independent component analysis (ICA) can separate artifactual and neural activity, allowing researchers to remove such artifactual activity and retain a greater percentage of EEG data ... Read more >>

Psychophysiology (Psychophysiology)
[2020, :e13566]

Cited: 0 times

View full text PDF listing >>



Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach.

Xiaojin Li, Shiqiang Tao, Shirin Jamal-Omidi, Yan Huang, Samden D Lhatoo, Guo-Qiang Zhang, Licong Cui,

BACKGROUND:Sudden unexpected death in epilepsy (SUDEP) is second only to stroke in neurological events resulting in years of potential life lost. Postictal generalized electroencephalogram (EEG) suppression (PGES) is a period of suppressed brain activity often occurring after generalized tonic-clonic seizure, a most significant risk factor for SUDEP. Therefore, PGES has ... Read more >>

JMIR Med Inform (JMIR medical informatics)
[2020, 8(2):e17061]

Cited: 0 times

View full text PDF listing >>



How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study.

Kay A Robbins, Jonathan Touryan, Tim Mullen, Christian Kothe, Nima Bigdely-Shamlo,

Although several guidelines for best practices in EEG preprocessing have been released, even those studies that strictly adhere to those guidelines contain considerable variation in the ways that the recommended methods are applied. An open question for researchers is how sensitive the results of EEG analyses are to variations in ... Read more >>

IEEE Trans Neural Syst Rehabil Eng (IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society)
[2020, :]

Cited: 0 times

View full text PDF listing >>



A hybrid method for artifact removal of visual evoked EEG.

Priyalakshmi Sheela, Subha D Puthankattil,

BACKGROUND:The visual evoked Electroencephalogram (EEG) signals are useful indicators to explore the hidden neural circuitry in human brain. But these signals are highly contaminated with a plethora of artifacts arising from power interference, eye, muscle and cardiac movements. Since the interference components include neural activity also, the existing techniques result ... Read more >>

J. Neurosci. Methods (Journal of neuroscience methods)
[2020, 336:108638]

Cited: 0 times

View full text PDF listing >>



Microstates-based resting frontal alpha asymmetry approach for understanding affect and approach/withdrawal behavior.

Ardaman Kaur, Vijayakumar Chinnadurai, Rishu Chaujar,

The role of resting frontal alpha-asymmetry in explaining neural-mechanisms of affect and approach/withdrawal behavior is still debatable. The present study explores the ability of the quasi-stable resting EEG asymmetry information and the associated neurovascular synchronization/desynchronization in bringing more insight into the understanding of neural-mechanisms of affect and approach/withdrawal behavior. For ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):4228]

Cited: 0 times

View full text PDF listing >>



A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects.

Giuseppe Varone, Sara Gasparini, Edoardo Ferlazzo, Michele Ascoli, Giovanbattista Gaspare Tripodi, Chiara Zucco, Barbara Calabrese, Mario Cannataro, Umberto Aguglia,

The diagnosis of psychogenic nonepileptic seizures (PNES) by means of electroencephalography (EEG) is not a trivial task during clinical practice for neurologists. No clear PNES electrophysiological biomarker has yet been found, and the only tool available for diagnosis is video EEG monitoring with recording of a typical episode and clinical ... Read more >>

Sensors (Basel) (Sensors (Basel, Switzerland))
[2020, 20(4):]

Cited: 0 times

View full text PDF listing >>



Corticomuscular interactions during different movement periods in a multi-joint compound movement.

Rouven Kenville, Tom Maudrich, Carmen Vidaurre, Dennis Maudrich, Arno Villringer, Vadim V Nikulin, Patrick Ragert,

While much is known about motor control during simple movements, corticomuscular communication profiles during compound movement control remain largely unexplored. Here, we aimed at examining frequency band related interactions between brain and muscles during different movement periods of a bipedal squat (BpS) task utilizing regression corticomuscular coherence (rCMC), as well ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):5021]

Cited: 0 times

View full text PDF listing >>



Probing dynamical cortical gating of attention with concurrent TMS-EEG.

Yuka O Okazaki, Yuji Mizuno, Keiichi Kitajo,

Attention facilitates the gating of information from the sending brain area to the receiving areas, with this being achieved by dynamical changes in effective connectivity, which refers to the directional influences between cortical areas. To probe the effective connectivity and cortical excitability modulated by covertly shifted attention, transcranial magnetic stimulation ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):4959]

Cited: 0 times

View full text PDF listing >>



Machine learning validation of EEG+tACS artefact removal.

Siddharth Kohli, Alexander J Casson,

OBJECTIVE:Electroencephalography (EEG) recorded during transcranial alternating current simulation (tACS) is highly desirable in order to investigate brain dynamics during stimulation, but is corrupted by large amplitude stimulation artefacts. Artefact removal algorithms have been presented previously, but with substantial debates on their performance, utility, and the presence of any residual artefacts. ... Read more >>

J Neural Eng (Journal of neural engineering)
[2020, 17(1):016034]

Cited: 0 times

View full text PDF listing >>



Train Your Brain? Can We Really Selectively Train Specific EEG Frequencies With Neurofeedback Training.

Emilie Dessy, Olivier Mairesse, Martine van Puyvelde, Aisha Cortoos, Xavier Neyt, Nathalie Pattyn,

Neurofeedback (NFB) is an operant conditioning procedure whereby an individual learns to self-regulate the electrical activity of his/her brain. Initially developed as a treatment intervention for pathologies with underlying EEG dysfunctions, NFB is also used as a training tool to enhance specific cognitive states required in high-performance situations. The original ... Read more >>

Front Hum Neurosci (Frontiers in Human Neuroscience)
[2020, 14:22]

Cited: 0 times

View full text PDF listing >>



Statistical Analysis to Find out the Optimal Locations for Non Invasive Brain Stimulation.

Gaurav Sharma, Shubhajit Roy Chowdhury,

Non-invasive brain electrical stimulation (NIBES) techniques are progressively used for modulation of neuronal membrane potentials, which alters cortical excitability. The neuronal activity depends on position of channel locations for electrodes and the amount and direction of injected weak current through the target neurons area. In the present paper hybrid near ... Read more >>

J Med Syst (Journal of medical systems)
[2020, 44(4):85]

Cited: 0 times

View full text PDF listing >>



The Maryland Analysis of Developmental EEG (MADE) Pipeline

Ranjan Debnath, George Buzzell, Santiago Morales, Maureen Bowers, Stephanie Leach, Nathan Fox,

Abstract Compared to adult EEG, EEG signals recorded from pediatric populations have shorter recording periods and contain more artifact contamination. Therefore, pediatric EEG data necessitate specific preprocessing approaches in order to remove environmental noise and physiological artifacts without losing large amounts of data. However, there is presently a scarcity of ... Read more >>

()
[, :]

Cited: 0 times

View full text PDF listing >>



A feasibility study of a complete low-cost consumer-grade brain-computer interface system.

Victoria Peterson, Catalina Galván, Hugo Hernández, Ruben Spies,

Brain-computer interfaces (BCIs) are technologies that provide the user with an alternative way of communication. A BCI measures brain activity (e.g. EEG) and converts it into output commands. Motor imagery (MI), the mental simulation of movements, can be used as a BCI paradigm, where the movement intention of the user ... Read more >>

Heliyon (Heliyon)
[2020, 6(3):e03425]

Cited: 0 times

View full text PDF listing >>



Resting-state EEG activity predicts frontoparietal network reconfiguration and improved attentional performance.

Jacek Rogala, Ewa Kublik, Rafał Krauz, Andrzej Wróbel,

Mounting evidence indicates that resting-state EEG activity is related to various cognitive functions. To trace physiological underpinnings of this relationship, we investigated EEG and behavioral performance of 36 healthy adults recorded at rest and during visual attention tasks: visual search and gun shooting. All measures were repeated two months later ... Read more >>

Sci Rep (Scientific reports)
[2020, 10(1):5064]

Cited: 0 times

View full text PDF listing >>



Removal of EMG Artifacts from Multichannel EEG Signals Using Combined Singular Spectrum Analysis and Canonical Correlation Analysis.

Qingze Liu, Aiping Liu, Xu Zhang, Xiang Chen, Ruobing Qian, Xun Chen,

Electroencephalography (EEG) signals collected from human scalps are often polluted by diverse artifacts, for instance electromyogram (EMG), electrooculogram (EOG), and electrocardiogram (ECG) artifacts. Muscle artifacts are particularly difficult to eliminate among all kinds of artifacts due to their complexity. At present, several researchers have proved the superiority of combining single-channel ... Read more >>

J Healthc Eng (Journal of healthcare engineering)
[2019, 2019:4159676]

Cited: 0 times

View full text PDF listing >>



Cingulate gyrus epilepsy: semiology, invasive EEG, and surgical approaches.

Chien-Chen Chou, Cheng-Chia Lee, Chun-Fu Lin, Yi-Hsiu Chen, Syu-Jyun Peng, Fu-Jung Hsiao, Hsiang-Yu Yu, Chien Chen, Hsin-Hung Chen, Yang-Hsin Shih,

OBJECTIVE:The semiology of cingulate gyrus epilepsy is varied and may involve the paracentral area, the adjacent limbic system, and/or the orbitofrontal gyrus. Invasive electroencephalography (iEEG) recording is usually required for patients with deeply located epileptogenic foci. This paper reports on the authors' experiences in the diagnosis and surgical treatment of ... Read more >>

Neurosurg Focus (Neurosurgical focus)
[2020, 48(4):E8]

Cited: 0 times

View full text PDF listing >>



Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes.

Aleksandra Kawala-Sterniuk, Michal Podpora, Mariusz Pelc, Monika Blaszczyszyn, Edward Jacek Gorzelanczyk, Radek Martinek, Stepan Ozana,

This paper covers a brief review of both the advantages and disadvantages of the implementation of various smoothing filters in the analysis of electroencephalography (EEG) data for the purpose of potential medical diagnostics. The EEG data are very prone to the occurrence of various internal and external artifacts and signal ... Read more >>

Sensors (Basel) (Sensors (Basel, Switzerland))
[2020, 20(3):]

Cited: 0 times

View full text PDF listing >>



Prediction of Individual User's Dynamic Ranges of EEG Features from Resting-State EEG Data for Evaluating Their Suitability for Passive Brain-Computer Interface Applications.

Ho-Seung Cha, Chang-Hee Han, Chang-Hwan Im,

With the recent development of low-cost wearable electroencephalogram (EEG) recording systems, passive brain-computer interface (pBCI) applications are being actively studied for a variety of application areas, such as education, entertainment, and healthcare. Various EEG features have been employed for the implementation of pBCI applications; however, it is frequently reported that ... Read more >>

Sensors (Basel) (Sensors (Basel, Switzerland))
[2020, 20(4):]

Cited: 0 times

View full text PDF listing >>



A Multi-Target Motor Imagery Training Using Bimodal EEG-fMRI Neurofeedback: A Pilot Study in Chronic Stroke Patients.

Giulia Lioi, Simon Butet, Mathis Fleury, Elise Bannier, Anatole Lécuyer, Isabelle Bonan, Christian Barillot,

Traditional rehabilitation techniques present limitations and the majority of patients show poor 1-year post-stroke recovery. Thus, Neurofeedback (NF) or Brain-Computer-Interface applications for stroke rehabilitation purposes are gaining increased attention. Indeed, NF has the potential to enhance volitional control of targeted cortical areas and thus impact on motor function recovery. However, ... Read more >>

Front Hum Neurosci (Frontiers in human neuroscience)
[2020, 14:37]

Cited: 0 times

View full text PDF listing >>



The shaky ground truth of real-time phase estimation.

Christoph Zrenner, Dragana Galevska, Jaakko O Nieminen, David Baur, Maria-Ioanna Stefanou, Ulf Ziemann,

Instantaneous phase of brain oscillations in electroencephalography (EEG) is a measure of brain state that is relevant to neuronal processing and modulates evoked responses. However, determining phase at the time of a stimulus with standard signal processing methods is not possible due to the stimulus artifact masking the future part ... Read more >>

Neuroimage (NeuroImage)
[2020, :116761]

Cited: 0 times

View full text PDF listing >>



EEG artifact correction strategies for online trial-by-trial analysis.

Amanda Medeiros de Freitas, Gaëtan Sanchez, Françoise Lecaignard, Emmanuel Maby, Alcimar Barbosa Soares, Jérémie Mattout,

Brain-machine interfaces (BMIs) use brain signals to control closed-loop systems in real-time. This comes with substantial challenges, such as having to remove artifacts in order to extract reliable features, especially when using electroencephalography (EEG). Some approaches have been described in the literature to address online artifact correction. However, none are ... Read more >>

J Neural Eng (Journal of neural engineering)
[2020, 17(1):016035]

Cited: 0 times

View full text PDF listing >>



A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics.

Sulema Torres-Ramos, Ricardo A Salido-Ruiz, Aurora Espinoza-Valdez, Fabiola R Gómez-Velázquez, Andrés A González-Garrido, Israel Román-Godínez,

Recent studies aiming to facilitate mathematical skill development in primary school children have explored the electrophysiological characteristics associated with different levels of arithmetic achievement. The present work introduces an alternative EEG signal characterization using graph metrics and, based on such features, a classification analysis using a decision tree model. This ... Read more >>

PLoS ONE (PloS one)
[2020, 15(1):e0227613]

Cited: 0 times

View full text PDF listing >>



Quantifying volume conducted potential using stimulation artefact in cortico-cortical evoked potentials.

David Prime, Matthew Woolfe, Steven O'Keefe, David Rowlands, Sasha Dionisio,

BACKGROUND:Cortico-cortical evoked potentials (CCEP) are a technique using low frequency stimulation to infer regions of cortical connectivity in patients undergoing Stereo-electroencephalographic (SEEG) monitoring for refractory epilepsy. Little attention has been given to volume conducted components of CCEP responses, and how they may inflate CCEP connectivity. NEW METHOD:Using data from 37 ... Read more >>

J. Neurosci. Methods (Journal of neuroscience methods)
[2020, 337:108639]

Cited: 0 times

View full text PDF listing >>



Advertisement

Disclaimer
2.0263 s