Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …
crucial issue in neuroscience. The concepts of structural, functional and effective …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
ZapLine: A simple and effective method to remove power line artifacts
A De Cheveigné - NeuroImage, 2020 - Elsevier
Power line artifacts are the bane of animal and human electrophysiology. A number of
methods are available to help attenuate or eliminate them, but each has its own set of …
methods are available to help attenuate or eliminate them, but each has its own set of …
[HTML][HTML] Interference suppression techniques for OPM-based MEG: Opportunities and challenges
One of the primary technical challenges facing magnetoencephalography (MEG) is that the
magnitude of neuromagnetic fields is several orders of magnitude lower than interfering …
magnitude of neuromagnetic fields is several orders of magnitude lower than interfering …
[HTML][HTML] Using OPMs to measure neural activity in standing, mobile participants
Optically pumped magnetometer-based magnetoencephalography (OP-MEG) can be used
to measure neuromagnetic fields while participants move in a magnetically shielded room …
to measure neuromagnetic fields while participants move in a magnetically shielded room …
k-fold cross-validation can significantly over-estimate true classification accuracy in common EEG-based passive BCI experimental designs: an empirical investigation
J White, SD Power - Sensors, 2023 - mdpi.com
In passive BCI studies, a common approach is to collect data from mental states of interest
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …
during relatively long trials and divide these trials into shorter “epochs” to serve as individual …
Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG
M Klug, NA Kloosterman - Human Brain Map**, 2022 - Wiley Online Library
Removing power line noise and other frequency‐specific artifacts from electrophysiological
data without affecting neural signals remains a challenging task. Recently, an approach was …
data without affecting neural signals remains a challenging task. Recently, an approach was …
Principles and open questions in functional brain network reconstruction
O Korhonen, M Zanin, D Papo - Human Brain Map**, 2021 - Wiley Online Library
Graph theory is now becoming a standard tool in system‐level neuroscience. However,
endowing observed brain anatomy and dynamics with a complex network representation …
endowing observed brain anatomy and dynamics with a complex network representation …
Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions
Background Non-invasive brain–computer interfaces (BCIs) have been developed for
realizing natural bi-directional interaction between users and external robotic systems …
realizing natural bi-directional interaction between users and external robotic systems …
Prior knowledge changes initial sensory processing in the human spinal cord
Prior knowledge changes how the brain processes sensory input. Whether knowledge
influences initial sensory processing upstream of the brain, in the spinal cord, is unknown …
influences initial sensory processing upstream of the brain, in the spinal cord, is unknown …