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 …
Decoding covert speech from EEG-a comprehensive review
JT Panachakel, AG Ramakrishnan - Frontiers in Neuroscience, 2021 - frontiersin.org
Over the past decade, many researchers have come up with different implementations of
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
systems for decoding covert or imagined speech from EEG (electroencephalogram). They …
Homecare robotic systems for healthcare 4.0: Visions and enabling technologies
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …
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 …
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
This work aims at corroborating the importance and efficacy of mutual learning in motor
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
Noninvasive brain–machine interfaces for robotic devices
The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review
Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …
patterns in human–computer interaction (HCI). Their success is due to their versatility …
A decoding scheme for incomplete motor imagery EEG with deep belief network
High accuracy decoding of electroencephalogram (EEG) signal is still a major challenge that
can hardly be solved in the design of an effective motor imagery-based brain-computer …
can hardly be solved in the design of an effective motor imagery-based brain-computer …
Neural correlates of user learning during long-term BCI training for the Cybathlon competition
Abstract Background Brain-computer interfaces (BCIs) are systems capable of translating
human brain patterns, measured through electroencephalography (EEG), into commands for …
human brain patterns, measured through electroencephalography (EEG), into commands for …
Network-based brain–computer interfaces: principles and applications
J Gonzalez-Astudillo, T Cattai… - Journal of neural …, 2021 - iopscience.iop.org
Brain–computer interfaces (BCIs) make possible to interact with the external environment by
decoding the mental intention of individuals. BCIs can therefore be used to address basic …
decoding the mental intention of individuals. BCIs can therefore be used to address basic …