Results 151 to 160 of about 36,878 (289)
BRAIN COMPUTER INTERFACE - Application of an Adaptive Bi-stage Classifier based on RBF-HMM
, 2010 Brain Computer Interface is an emerging technology that allows new output paths to communicate the users intentions without the use of normal output paths, such as muscles or nerves. In order to obtain their objective, BCI devices make use of classifiers
Barrientos Cruz, Antonio +1 more
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Pigment Cell &Melanoma Research, Volume 39, Issue 4, July 2026.ADI‐PEG20 enhances melphalan‐induced DNA DSBs in UM cells. We describe potentiation of DNA DSBs in UM cell lines upon treatment with ADI‐PEG20 and melphalan (92.1 cells with STRIDE by intoDNA). ADI‐PEG20 suppresses multiple members of the FA pathway—a known resistance mechanism for melphalan—providing a rationale for exploring this drug combination in ...
Iuliia Pavlyk +10 more
wiley +1 more source
Effects of data sample dependence on the evaluation of BCI performance [PDF]
CNB
Bourban, Fabien +4 more
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Advanced Healthcare Materials, Volume 15, Issue 23, 19 June 2026.PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan +12 more
wiley +1 more source
A cost-effective BCI assisted technology framework for neurorehabilitation
, 2018 Brain Computer Interface (BCI) controlled assistive robotic systems have been developed with increasing success with the aim to rehabilitate brain injured patients to increase independence and quality of life.
Azhar, H., Casey, A., Sakel, M.
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Advanced Materials Technologies, Volume 11, Issue 12, 18 June 2026.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Brain functional connectivity associates with fatigue in SSVEP-BCI applications
, 2018 Introduction: Fatigue is considered as a major challenge of practical use of steady state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs) as it brings hazard to health and degradation of system performance [1].
Wan, F, Hu, Y, Agostinho, R, Wong, C
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Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring
Advanced Science, Volume 13, Issue 31, 4 June 2026.This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim +5 more
wiley +1 more source
Long‐term trends in parasite diversity and infection levels: approaches and patterns
Biological Reviews, Volume 101, Issue 3, Page 1120-1142, June 2026.ABSTRACT Parasites exist in every ecosystem, affecting nearly all organisms and playing a complex role in human societies. On the one hand, they contribute substantially to biodiversity and support ecosystem stability by performing essential ecological functions.
Cyril Hammoud +8 more
wiley +1 more source
Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces
, 2012 Riechmann H, Finke A. Semi-Supervised Neural Gas for Adaptive Brain-Computer Interfaces. In: ESANN 2012 proceedings. i6doc.com; 2012: 121-126.Non-stationarity is inherent in EEG data.
Riechmann, Hannes +1 more
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