State-of-the-art on brain-computer interface technology
J Peksa, D Mamchur - Sensors, 2023 - mdpi.com
This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …
Identification and removal of physiological artifacts from electroencephalogram signals: A review
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
Automatic ocular artifacts removal in EEG using deep learning
B Yang, K Duan, C Fan, C Hu, J Wang - Biomedical Signal Processing and …, 2018 - Elsevier
Ocular artifacts (OAs) are one the most important form of interferences in the analysis of
electroencephalogram (EEG) research. OAs removal/reduction is a key analysis before the …
electroencephalogram (EEG) research. OAs removal/reduction is a key analysis before the …
Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker
Background and objective Electroencephalogram (EEG) is one of the most demanded
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …
screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain …
Ocular artifact elimination from electroencephalography signals: A systematic review
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
[PDF][PDF] EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review
Electroencephalogram (EEG) being the measure to record the electrical activity of brain acts
as a key factor to many brain computer interface (BCI) applications. These recorded EEG …
as a key factor to many brain computer interface (BCI) applications. These recorded EEG …
A survey and tutorial of EEG-based brain monitoring for driver state analysis
Drivers cognitive and physiological states affect their ability to control their vehicles. Thus,
these driver states are important to the safety of automobiles. The design of advanced driver …
these driver states are important to the safety of automobiles. The design of advanced driver …
Human brain imaging with high‐density electroencephalography: Techniques and applications
Electroencephalography (EEG) is a technique for non‐invasively measuring neuronal
activity in the human brain using electrodes placed on the participant's scalp. With the …
activity in the human brain using electrodes placed on the participant's scalp. With the …
Traumatic brain injury (TBI) detection: past, present, and future
Traumatic brain injury (TBI) can produce temporary biochemical imbalance due to leaks
through cell membranes or disruption of the axoplasmic flow due to the misalignment of …
through cell membranes or disruption of the axoplasmic flow due to the misalignment of …
Correlation-filter-based channel and feature selection framework for hybrid EEG-fNIRS BCI applications
The proposed study is based on a feature and channel selection strategy that uses
correlation filters for brain–computer interface (BCI) applications using …
correlation filters for brain–computer interface (BCI) applications using …