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] Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review
Brain-computer interface (BCI) technology represents a burgeoning interdisciplinary domain
that facilitates direct communication between individuals and external devices. The efficacy …
that facilitates direct communication between individuals and external devices. The efficacy …
Harmonic amplitude summation for frequency-tagging analysis
In the approach of frequency tagging, stimuli that are presented periodically generate
periodic responses of the brain. Following a transformation into the frequency domain, the …
periodic responses of the brain. Following a transformation into the frequency domain, the …
An open dataset for wearable SSVEP-based brain-computer interfaces
Brain-computer interfaces (BCIs) provide humans a new communication channel by
encoding and decoding brain activities. Steady-state visual evoked potential (SSVEP) …
encoding and decoding brain activities. Steady-state visual evoked potential (SSVEP) …
Practical real-time MEG-based neural interfacing with optically pumped magnetometers
Background Brain-computer interfaces decode intentions directly from the human brain with
the aim to restore lost functionality, control external devices or augment daily experiences …
the aim to restore lost functionality, control external devices or augment daily experiences …
Minimally invasive local-skull electrophysiological modification with piezoelectric drill
The research on non-invasive BCI is nowadays hitting the bottleneck due to the humble
quality of scalp EEG signals. Whereas invasive solutions that offer higher signal quality in …
quality of scalp EEG signals. Whereas invasive solutions that offer higher signal quality in …
Multisensory flicker modulates widespread brain networks and reduces interictal epileptiform discharges
LT Blanpain, ER Cole, E Chen, JK Park… - Nature …, 2024 - nature.com
Modulating brain oscillations has strong therapeutic potential. Interventions that both non-
invasively modulate deep brain structures and are practical for chronic daily home use are …
invasively modulate deep brain structures and are practical for chronic daily home use are …
Brain-computer interface paradigms and neural coding
P Tai, P Ding, F Wang, A Gong, T Li, L Zhao… - Frontiers in …, 2024 - frontiersin.org
Brain signal patterns generated in the central nervous system of brain-computer interface
(BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI …
(BCI) users are closely related to BCI paradigms and neural coding. In BCI systems, BCI …
A methodology for enhancing SSVEP features using adaptive filtering based on the spatial distribution of EEG signals
In this paper, we propose a classification algorithm of EEG signal based on canonical
correlation analysis (CCA) and integrated with adaptive filtering. It can enhance the …
correlation analysis (CCA) and integrated with adaptive filtering. It can enhance the …
A Surgery-Detection Two-Dimensional Panorama of Signal Acquisition Technologies in Brain-Computer Interface
Brain-computer interface (BCI) technology is an interdisciplinary field that allows individuals
to connect with the external world. The performance of BCI systems relies predominantly on …
to connect with the external world. The performance of BCI systems relies predominantly on …