An introductory tutorial on brain–computer interfaces and their applications
The prospect and potentiality of interfacing minds with machines has long captured human
imagination. Recent advances in biomedical engineering, computer science, and …
imagination. Recent advances in biomedical engineering, computer science, and …
Sharpening working memory with real-time electrophysiological brain signals: which neurofeedback paradigms work?
Growing evidence supports the idea that the ultimate biofeedback is to reward sensory
pleasure (eg, enhanced visual clarity) in real-time to neural circuits that are associated with …
pleasure (eg, enhanced visual clarity) in real-time to neural circuits that are associated with …
A novel flexible hydrogel electrode with a strong moisturizing ability for long-term EEG recording
G Shen, K Gao, N Zhao, Z Yi, C Jiang… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. A novel flexible hydrogel electrode with a strong moisturizing ability was prepared
for long-term electroencephalography (EEG) monitoring. Approach. The hydrogel was …
for long-term electroencephalography (EEG) monitoring. Approach. The hydrogel was …
Frontal EEG-based multi-level attention states recognition using dynamical complexity and extreme gradient boosting
Measuring and identifying the specific level of sustained attention during continuous tasks is
essential in many applications, especially for avoiding the terrible consequences caused by …
essential in many applications, especially for avoiding the terrible consequences caused by …
Coherence-based connectivity analysis of EEG and EMG signals during reach-to-grasp movement involving two weights
CD Guerrero-Mendez, AF Ruiz-Olaya - Brain-Computer Interfaces, 2022 - Taylor & Francis
Corticomuscular coherence allows studying the mechanism of the cerebral cortex's control
of muscle activity, which reveals the communication in corticospinal pathways between the …
of muscle activity, which reveals the communication in corticospinal pathways between the …
Two sides of the same coin: adaptation of BCIs to internal states with user-centered design and electrophysiological features
The ideal brain–computer interface (BCI) adapts to the user's state to enable optimal BCI
performance. Two methods of BCI adaptation are commonly applied: User-centered design …
performance. Two methods of BCI adaptation are commonly applied: User-centered design …
BCI-based games and ADHD
V Bravou, A Drigas - Research, Society and Development, 2021 - rsdjournal.org
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a neurological condition
characterized by cognitive task difficulty, impulsivity, hyperactivity and loss of attention. It can …
characterized by cognitive task difficulty, impulsivity, hyperactivity and loss of attention. It can …
Gauging working memory capacity from differential resting brain oscillations in older individuals with a wearable device
Working memory is a core cognitive function and its deficits is one of the most common
cognitive impairments. Reduced working memory capacity manifests as reduced accuracy in …
cognitive impairments. Reduced working memory capacity manifests as reduced accuracy in …
Real-time biosignal recording and machine-learning analysis system
Biosignal recording and processing systems (BRPSs) are in high demand for numerous
applications such as brain-machine interfaces, healthcare, and other clinical applications …
applications such as brain-machine interfaces, healthcare, and other clinical applications …
Identification of brain electrical activity related to head yaw rotations
Automatizing the identification of human brain stimuli during head movements could lead
towards a significant step forward for human computer interaction (HCI), with important …
towards a significant step forward for human computer interaction (HCI), with important …