Results 111 to 120 of about 89,345 (245)

Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -

open access: yes, 2015
This paper presents an applied concept of a brain-computer interface (BCI) student research laboratory (BCI-LAB) at the Life Science Center of TARA, University of Tsukuba, Japan.
Rutkowski, Tomasz M.
core   +1 more source

Do Injury, Depression, and PTSD Mediate the Relationships Between Latent Profiles of Cumulative Lifetime Violence and Chronic Pain Disability in Men?

open access: yesResearch in Nursing &Health, EarlyView.
ABSTRACT Knowledge of association between violence and chronic pain in men is limited by neglect of violence experiences as perpetrator, disregard of heterogeneity in cumulative lifetime violence severity (CLVS), weak understanding of mediation pathways, and inattention to social determinants of health (SDOH).
Judith Wuest   +4 more
wiley   +1 more source

Multi-objective particle swarm optimization for channel selection in brain-computer interfaces [PDF]

open access: yes, 2009
This paper presents a novel application of a multi-objective particle swarm optimization (MOPSO) method to solve the problem of effective channel selection for Brain-Computer Interface (BCI) systems.
Gan, JQ, Hasan, BAS
core  

Review on the Use of Brain Computer Interface Rehabilitation Methods for Treating Mental and Neurological Conditions

open access: yesJournal of Integrative Neuroscience
This review provides a comprehensive examination of recent developments in both neurofeedback and brain-computer interface (BCI) within the medical field and rehabilitation.
Vladimir Khorev   +9 more
doaj   +1 more source

Digitizing collections to unlock the full potential of palynology: A case study with the Smithsonian palynology collection

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Large palynological collections have been built over decades and contain vital information. However, they are often difficult to access and use effectively. What is the point of having such collections if they are not fully utilizable? To solve this problem, we digitized the Smithsonian palynological collection using both light and confocal microscopy.
Carlos Jaramillo   +37 more
wiley   +1 more source

Relationship between food quality and body size of common vole in different habitats

open access: yesPest Management Science, EarlyView.
The body size of the common vole in crop fields (alfalfa, rape, cereals) is larger than in less‐cultivated habitats (forests, clearings, set‐aside) and is not related to food quality. Abstract BACKGROUND There is a close relationship between habitat, food and demographic parameters of common vole populations.
Eva Jánová   +3 more
wiley   +1 more source

EEG signal ANFIS classification for motor imagery for different joints of the same limb

open access: yesVojnotehnički Glasnik
Introduction: The experimental area of brain-computer interfaces (BCIs) is expanding to include movement actions, which play a crucial part in deciphering cognitive processes.
Ihab A. Satam
doaj   +1 more source

Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring

open access: yesSmall Methods, EarlyView.
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji   +14 more
wiley   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang   +4 more
wiley   +1 more source

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