Electroencephalography

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification

Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification
Effective Brain Connectivity Extraction by Frequency-Domain Convergent Cross-Mapping (FDCCM) and its Application in Parkinson’s Disease Classification 650 366 IEEE Transactions on Biomedical Engineering (TBME)
This paper presents a novel and efficacious approach for inferring causal connectivity by exploiting frequency-domain dynamics in complex systems, with a particular focus on its application in Parkinson’s Disease classification. read more

Removal of Transcranial Alternating Current Stimulation EEG Artifacts Using Blind Source Separation and Wavelets
Removal of Transcranial Alternating Current Stimulation EEG Artifacts Using Blind Source Separation and Wavelets 789 444 IEEE Transactions on Biomedical Engineering (TBME)
This study proposes a novel, combined method to clean EEG data collected during transcranial alternating current stimulation (tACS), making it possible to investigate the effects of tACS on EEG signals. read more

Align and Pool for EEG Headset Domain Adaptation (ALPHA) to Facilitate Dry Electrode Based SSVEP-BCI
Author(s)3: Bingchuan Liu, Xiaogang Chen, Xiang Li, Yijun Wang, Xiaorong Gao, Shangkai Gao
Align and Pool for EEG Headset Domain Adaptation (ALPHA) to Facilitate Dry Electrode Based SSVEP-BCI 170 177 IEEE Transactions on Biomedical Engineering (TBME)
This study leverages transfer learning to improve the performance for steady-state visual evoked potential based brain-computer interface (SSVEP-BCI) implemented by dry electrodes. We utilize auxiliary individual electroencephalogram (EEG) recorded from wet electrode for cross-device transfer learning via the proposed framework named ALign and Pool for EEG Headset domain Adaptation (ALPHA), which aligns the SSVEP features by domain adaptation. ALPHA significantly outperformed the competing methods in two transfer directions, and boosted the dry-electrode systems using wet-electrode EEG. The cross-device transfer learning by ALPHA could increase the utility and potentially promote the use of dry electrode based SSVEP-BCIs in practical applications. read more

Fast EEG-based decoding of the directional focus of auditory attention using common spatial patterns
Author(s)3: Simon Geirnaert, Tom Francart, Alexander Bertrand
Fast EEG-based decoding of the directional focus of auditory attention using common spatial patterns 170 177 IEEE Transactions on Biomedical Engineering (TBME)
Current hearing devices lack information about the sound source a user attends to when there are multiple speakers. Auditory attention decoding (AAD) algorithms, which decode the auditory attention from brain signals, solve this problem and inform the hearing device about the to-be-enhanced speaker. While current AAD algorithms typically require an EEG buffer of 10s, leading to long delays, we present a new fast and accurate AAD algorithm that decodes the spatial focus of auditory attention in 1s using common spatial pattern filtering. read more

Faster Gait Speeds Reduce Alpha and Beta EEG Spectral Power From Human Sensorimotor Cortex
Author(s)3: Daniel P. Ferris, W. David Hairston, Andrew D. Nordin
Faster Gait Speeds Reduce Alpha and Beta EEG Spectral Power From Human Sensorimotor Cortex 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Understanding how the human brain controls locomotion is a considerable neuroscience challenge that has required advancements in mobile neuroimaging methods. Mobile high-density electroencephalography (EEG) allows electrical brain activity to be…

read more
Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography

Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography
Author(s)3: Mariano Fernández-Corazza, Sergei Turovets, Phan Luu, Nick Price, Carlos Muravchik, Don Tucker
Skull Modeling Effects in Conductivity Estimates Using Parametric Electrical Impedance Tomography 170 177 IEEE Transactions on Biomedical Engineering (TBME)

We estimate scalp, skull, compact bone and marrow bone electrical conductivity values using Electrical Impedance Tomography (EIT) measurements and assess the influence of skull modeling details on the estimates. We…

read more
Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform

Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform
Author(s)3: Colin M. McCrimmon, Jonathan L. Fu, Ming Wang, Lucas Silva Lopes, Po T. Wang, Alireza Karimi-Bidhendi, Charles Y. Liu, Payam Heydari, Zoran Nenadic, An H. Do
Performance Assessment of a Custom, Portable, and Low-Cost Brain-Computer Interface Platform 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Conventional brain-computer interfaces (BCIs) are often expensive, complex to operate, and lack portability, which confines their use to laboratory settings. Portable, inexpensive BCIs can mitigate these problems, but it remains…

read more

Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification with Intracranial EEG and FEM Simulations
Author(s)3: Lukas Dominique Josef Fiederer, Jacob Lahr, Johannes Vorwerk, Felix Lucka, Ad Aertsen, Carsten Hermann Wolters, Andreas Sculze-Bonhage, Tonio Ball
Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification with Intracranial EEG and FEM Simulations 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Lukas D.J. Fiederer, Jacob Lahr, Johannes Vorwerk, Felix Lucka, Ad Aertsen, Carsten H. Wolters, Andreas Schulze-Bonhage, Tonio Ball, University of Freiburg, Germany, University of Münster, Germany, University of Utah, USA, University College…

read more

Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp
Author(s)3: Seung Min Lee, Jeong Hun Kim, Cheolsoo Park, Ji-Young Hwang, Joung-Sook Hong, Kwang-Ho Lee, Sang-Hoon Lee
Self-adhesive and Capacitive Carbon Nanotube-based Electrode to Record Electroencephalograph Signals from the Hairy Scalp 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Seung Min Lee, Jeong Hun Kim, Cheolsoo Park, Ji-Young Hwang, Joung Sook Hong, Kwang Ho Lee, Sang Hoon Lee, Gwangwoon University, Soongsil University, Kangwon National University, Korea University, Korea We…

read more

Single-trial ERP component analysis using a spatio-temporal LCMV beamformer
Author(s)3: Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roel Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle
Single-trial ERP component analysis using a spatio-temporal LCMV beamformer 170 177 IEEE Transactions on Biomedical Engineering (TBME)

Marijn van Vliet, Nikolay Chumerin, Simon De Deyne, Jan Roel Wiersema, Wim Fias, Gerrit Storms, Marc M. Van Hulle,  KU Leuven, Leuven, Belgium For statistical analysis of event related potentials (ERPs), there are convincing arguments against averaging…

read more
Search this website