Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
[HTML][HTML] Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
[HTML][HTML] Summary of over fifty years with brain-computer interfaces—a review
Over the last few decades, the Brain-Computer Interfaces have been gradually making their
way to the epicenter of scientific interest. Many scientists from all around the world have …
way to the epicenter of scientific interest. Many scientists from all around the world have …
Graph neural networks in IoT: A survey
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …
[HTML][HTML] Electroencephalography (EEG) technology applications and available devices
M Soufineyestani, D Dowling, A Khan - Applied Sciences, 2020 - mdpi.com
The electroencephalography (EEG) sensor has become a prominent sensor in the study of
brain activity. Its applications extend from research studies to medical applications. This …
brain activity. Its applications extend from research studies to medical applications. This …
A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities
Abstract Brain Computer Interfaces (BCIs) and Extended Reality (XR) have seen significant
advances as independent disciplines over the past 50 years. XR has been developed as an …
advances as independent disciplines over the past 50 years. XR has been developed as an …
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Mental disorders represent critical public health challenges as they are leading contributors
to the global burden of disease and intensely influence social and financial welfare of …
to the global burden of disease and intensely influence social and financial welfare of …
Review of challenges associated with the EEG artifact removal methods
Electroencephalography (EEG), as a non-invasive modality, enables the representation of
the underlying neuronal activities as electrical signals with high temporal resolution. In …
the underlying neuronal activities as electrical signals with high temporal resolution. In …
Diversity and suitability of the state-of-the-art wearable and wireless EEG systems review
Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …
in recent times. Both the number of articles discussing wireless EEG and their proportion …
[HTML][HTML] Motor-imagery EEG-based BCIs in wheelchair movement and control: A systematic literature review
The pandemic emergency of the coronavirus disease 2019 (COVID-19) shed light on the
need for innovative aids, devices, and assistive technologies to enable people with severe …
need for innovative aids, devices, and assistive technologies to enable people with severe …