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 …

Identification and removal of physiological artifacts from electroencephalogram signals: A review

MMN Mannan, MA Kamran, MY Jeong - Ieee Access, 2018 - ieeexplore.ieee.org
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
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 …

Complexity of EEG dynamics for early diagnosis of Alzheimer's disease using permutation entropy neuromarker

M Şeker, Y Özbek, G Yener, MS Özerdem - Computer Methods and …, 2021 - Elsevier
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 …

Ocular artifact elimination from electroencephalography signals: A systematic review

R Ranjan, BC Sahana, AK Bhandari - Biocybernetics and Biomedical …, 2021 - Elsevier
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

[PDF][PDF] EEG artifacts detection and removal techniques for brain computer interface applications: a systematic review

CR Rashmi, CP Shantala - International Journal of Advanced …, 2022 - researchgate.net
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 …

A survey and tutorial of EEG-based brain monitoring for driver state analysis

C Zhang, A Eskandarian - arxiv preprint arxiv:2008.11226, 2020 - arxiv.org
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 …

Human brain imaging with high‐density electroencephalography: Techniques and applications

M Marino, D Mantini - The Journal of Physiology, 2024 - Wiley Online Library
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 …

Traumatic brain injury (TBI) detection: past, present, and future

AT Alouani, T Elfouly - Biomedicines, 2022 - mdpi.com
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 …

Correlation-filter-based channel and feature selection framework for hybrid EEG-fNIRS BCI applications

MU Ali, A Zafar, KD Kallu, H Masood… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The proposed study is based on a feature and channel selection strategy that uses
correlation filters for brain–computer interface (BCI) applications using …