Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review

M Rashid, N Sulaiman, A PP Abdul Majeed… - Frontiers in …, 2020 - frontiersin.org
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …

A survey on methods and challenges in EEG based authentication

AJ Bidgoly, HJ Bidgoly, Z Arezoumand - Computers & Security, 2020 - Elsevier
EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …

Towards new human rights in the age of neuroscience and neurotechnology

M Ienca, R Andorno - Life sciences, society and policy, 2017 - Springer
Rapid advancements in human neuroscience and neurotechnology open unprecedented
possibilities for accessing, collecting, sharing and manipulating information from the human …

[HTML][HTML] Generative adversarial networks and synthetic patient data: current challenges and future perspectives

A Arora, A Arora - Future Healthcare Journal, 2022 - Elsevier
Artificial intelligence (AI) has been heralded as one of the key technological innovations of
the 21st century. Within healthcare, much attention has been placed upon the ability of …

EEG-based user identification system using 1D-convolutional long short-term memory neural networks

Y Sun, FPW Lo, B Lo - Expert Systems with Applications, 2019 - Elsevier
Electroencephalographic (EEG) signals have been widely used in medical applications, yet
the use of EEG signals as user identification systems for healthcare and Internet of Things …

Review on alzheimer disease detection methods: Automatic pipelines and machine learning techniques

A Shukla, R Tiwari, S Tiwari - Sci, 2023 - mdpi.com
Alzheimer's Disease (AD) is becoming increasingly prevalent across the globe, and various
diagnostic and detection methods have been developed in recent years. Several techniques …

Brain waves for automatic biometric-based user recognition

P Campisi, D La Rocca - IEEE transactions on information …, 2014 - ieeexplore.ieee.org
Brain signals have been investigated within the medical field for more than a century to
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …

Human brain distinctiveness based on EEG spectral coherence connectivity

D La Rocca, P Campisi, B Vegso… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The use of EEG biometrics, for the purpose of automatic people recognition, has received
increasing attention in the recent years. Most of the current analyses rely on the extraction of …

A survey on brain biometrics

Q Gui, MV Ruiz-Blondet, S Laszlo, Z ** - ACM Computing Surveys …, 2019 - dl.acm.org
Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics

BC Armstrong, MV Ruiz-Blondet, N Khalifian, KJ Kurtz… - Neurocomputing, 2015 - Elsevier
The human brain continually generates electrical potentials representing neural
communication. These potentials can be measured at the scalp, and constitute the …