EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
Removal of movement-induced EEG artifacts: current state of the art and guidelines
Objective: Electroencephalography (EEG) is a non-invasive technique used to record
cortical neurons' electrical activity using electrodes placed on the scalp. It has become a …
cortical neurons' electrical activity using electrodes placed on the scalp. It has become a …
Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments
Recent developments in EEG hardware and analyses approaches allow for recordings in
both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings …
both stationary and mobile settings. Irrespective of the experimental setting, EEG recordings …
Shared EEG correlates between non-REM parasomnia experiences and dreams
Sleepwalking and related parasomnias result from incomplete awakenings out of non-rapid
eye movement sleep. Behavioral episodes can occur without consciousness or recollection …
eye movement sleep. Behavioral episodes can occur without consciousness or recollection …
Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
Background Hand rehabilitation is core to hel** stroke survivors regain activities of daily
living. Recent studies have suggested that the use of electroencephalography-based brain …
living. Recent studies have suggested that the use of electroencephalography-based brain …
Enhancing lighting design through the investigation of illuminance and correlated color Temperature's effects on brain activity: An EEG-VR approach
Investigating human responses to light can reveal important information with the potential to
improve environmental design, circadian health, cognitive performance, and overall …
improve environmental design, circadian health, cognitive performance, and overall …
Introducing RELAX: An automated pre-processing pipeline for cleaning EEG data-Part 1: Algorithm and application to oscillations
Objective Electroencephalographic (EEG) data are often contaminated with non-neural
artifacts which can confound experimental results. Current artifact cleaning approaches …
artifacts which can confound experimental results. Current artifact cleaning approaches …
Translation of neurotechnologies
Neurotechnologies combine engineering methods and neuroscientific knowledge to design
devices that interface the brain with the outside world. Since the early 2000s, inspiring and …
devices that interface the brain with the outside world. Since the early 2000s, inspiring and …
AutoEncoder filter bank common spatial patterns to decode motor imagery from EEG
The present paper introduces a novel method, named AutoEncoder-Filter Bank Common
Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography …
Spatial Patterns (AE-FBCSP), to decode imagined movements from electroencephalography …
Electroencephalographic connectivity: a fundamental guide and checklist for optimal study design and evaluation
Brain connectivity can be estimated through many analyses applied to
electroencephalography (EEG) data. However, substantial heterogeneity in the …
electroencephalography (EEG) data. However, substantial heterogeneity in the …