Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
[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 …
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 emotion recognition using 4D convolutional recurrent neural network
In this paper, we present a novel method, called four-dimensional convolutional recurrent
neural network, which integrating frequency, spatial and temporal information of …
neural network, which integrating frequency, spatial and temporal information of …
Trends in EEG-BCI for daily-life: Requirements for artifact removal
J Minguillon, MA Lopez-Gordo, F Pelayo - Biomedical Signal Processing …, 2017 - Elsevier
Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …
removal have been essential in its pre-processing. In literature, diverse approaches based …
4D attention-based neural network for EEG emotion recognition
Electroencephalograph (EEG) emotion recognition is a significant task in the brain-computer
interface field. Although many deep learning methods are proposed recently, it is still …
interface field. Although many deep learning methods are proposed recently, it is still …
The psychophysiology primer: a guide to methods and a broad review with a focus on human–computer interaction
Digital monitoring of physiological signals can allow computer systems to adapt
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …
Removal of muscle artifacts from the EEG: A review and recommendations
Electroencephalography (EEG) has been widely used for studying brain function. As cortical
signals recorded by the EEG are very weak, they are often obscured by motion artifacts and …
signals recorded by the EEG are very weak, they are often obscured by motion artifacts and …
[HTML][HTML] Personalized brain–computer interface and its applications
Y Ma, A Gong, W Nan, P Ding, F Wang… - Journal of Personalized …, 2022 - mdpi.com
Brain–computer interfaces (BCIs) are a new technology that subverts traditional human–
computer interaction, where the control signal source comes directly from the user's brain …
computer interaction, where the control signal source comes directly from the user's brain …
Brain computer interfaces in rehabilitation medicine
MA Bockbrader, G Francisco, R Lee, J Olson… - PM&R, 2018 - Elsevier
One innovation currently influencing physical medicine and rehabilitation is brain–computer
interface (BCI) technology. BCI systems used for motor control record neural activity …
interface (BCI) technology. BCI systems used for motor control record neural activity …