Results 101 to 110 of about 89,345 (245)
Наука и инновации в медицине, 2016 Background. A number of studies have been done on detection of human visual attention focus by means of P300 brain-computer interfaces (BCI). However, the performance of interfaces on P300 is still low, since this technique requires the repeated ...
D A Kirjanov, A Y Kaplan
doaj +1 more source
Facial expression recognition for emotion perception: A comprehensive science mapping
Ibrain, EarlyView.Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan +10 more
wiley +1 more source
INTEGRAL ALGORITHM OF P300 RECOGNITION IN EEG FOR BCI APPLICATION
Наука и инновации в медицине, 2016 Aim - developing the integral algorithm of recognition of the evoked potential (ERP-response) to a target visual stimulus and testing of the proposed algorithm on the wireless 5-channel electroencephalograph Emotiv Insight with “dry” electrodes ...
S N Agapov +4 more
doaj +1 more source
Journal of Clinical Psychology, EarlyView.ABSTRACT Background and Hypothesis Ultra high risk (UHR) for psychosis can have different clinical trajectories but the remission rates are only 51.9% after 3 years of follow‐up. Deficits in metacognition are associated with severity of symptoms and poor response to treatment.
Trinidad Peláez +6 more
wiley +1 more source
Caso de estudio del desarrollo de un videojuego basado en BCI
Lámpsakos, 2019 Este artículo describe la metodología de formación por proyectos del Servicio Nacional de Aprendizaje–SENA y su integración con un proyecto de investigación aplicada.
Erika Juliett Restrepo Zapata +3 more
doaj +1 more source
Cross-BCI, A Cross-BCI-Paradigm Classifica-tion Model Towards Universal BCI Applications
Classification models used in brain-computer interface (BCI) are usually designed for a single BCI paradigm. This requires the redevelopment of the model when applying it to a new BCI paradigm, resulting in repeated costs and effort. Moreover, less complex deep learning models are desired for practical usage, as well as for deployment on portable ...
Zhou, Gaojie, Li, Junhua
openaire +2 more sources
The BCI competition III: validating alternative approaches to actual BCI problems
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2006 A brain-computer interface (BCI) is a system that allows its users to control external devices with brain activity. Although the proof-of-concept was given decades ago, the reliable translation of user intent into device control commands is still a major challenge. Success requires the effective interaction of two adaptive controllers: the user's brain,
Blankertz, Benjamin +9 more
openaire +3 more sources
An uncued brain-computer interface using reservoir computing [PDF]
, 2010 Brain-Computer Interfaces are an important and promising avenue for possible next-generation assistive devices. In this article, we show how Reservoir Comput- ing – a computationally efficient way of training recurrent neural networks – com- bined with a
Buteneers, Pieter +3 more
core
MagCPP: A C++ toolbox for Combining Neurofeedback with Magstim transcranial magnetic stimulators
Current Directions in Biomedical Engineering, 2020 Transcranial magnetic stimulation (TMS) is an established method to treat various neurological diseases, such as depression, Alzheimer’s disease, and tinnitus.
Oppermann Hannes +4 more
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Neurourology and Urodynamics, EarlyView.ABSTRACT Objective To evaluate the incidence of urinary tract infection (UTI) after combined cystoscopy and urodynamic testing. Methods A prospective analytical cohort study was conducted including adult patients undergoing cystoscopy, urodynamic testing, or both procedures during the same session at a quaternary referral center between May 1, 2023 ...
Camilo Andres Torres Sandoval +4 more
wiley +1 more source