Results 291 to 300 of about 378,811 (361)

Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

, 2018
Léa Pillette, Camille Jeunet, Roger Nkambou, Bernard N’Kaoua, Fabien Lotte   +4 more
openalex   +1 more source

Hydrogel Confinement Strategies for 3D Cell Culture in Microfluidic Systems

Advanced Materials Technologies, EarlyView.
Hydrogel confinement structures are key to organizing 3D cell cultures in microfluidic devices. This review classifies five structural strategies (micropillar, phaseguide, porous membrane, stepped‐height, and support‐free) and examines their trade‐offs alongside fabrication methods.
Soohyun Kim, Min Seok Lee, Sung Kyun Lee
wiley   +1 more source

Comparing machine learning approaches for motor-activity-related brain computer interfaces

, 2018
Lei Wang, Hasan Ayaz
openalex   +1 more source

Wireless Power Transfer Modalities for Implantable Bioelectronics: Electromagnetic, Acoustic, and Magneto‐Dynamic Perspectives

Advanced Materials Technologies, EarlyView.
This review traces the evolution of wireless power transfer (WPT) for implantable medical devices, spanning electromagnetic, magnetoelectric, acoustic, and magneto‐dynamic systems. Quantitative comparisons of power, distance, and device scale highlight trade‐offs across modalities, while emerging hybrid mechanisms reveal strategies to overcome ...
Junyeop Kim, Yoonseok Park
wiley   +1 more source

The Application of Entropy in Motor Imagery Paradigms of Brain-Computer Interfaces. [PDF]

Brain Sci
Wu C, Yao B, Zhang X, Li T, Wang J, Pu J.   +5 more
europepmc   +1 more source

Ultra‐Thin Soft Pneumatic Actuation for Minimally Invasive Neural Interfacing

Advanced Materials Technologies, EarlyView.
Parylene C is a common polymer in bioelectronics, favored for its biological and chemical inertness. However, this makes bonding layers of Parylene C together very challenging. Here it is a laser to selectively weld layers of Parylene C to create high‐pressure fluidic actuation devices.
Lawrence Coles, Joe G. Troughton, Alejandro Carnicer‐Lombarte, George G. Malliaras, Christopher M. Proctor   +4 more
wiley   +1 more source

Hierarchical attention enhanced deep learning achieves high precision motor imagery classification in brain computer interfaces. [PDF]

Sci Rep
Chen Z, Cao Y, Fu Q, Hou L.
europepmc   +1 more source

Engineered Microfluidic Organoid Systems: New Paradigms for Menopause Mechanism Research and Personalized Medicine

Advanced Materials Technologies, EarlyView.
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang, He Huang, Hongliang Dong, Qiang Ma, Hongyan Jin   +4 more
wiley   +1 more source

Extracting robust single-trial somatosensory evoked potentials for non-invasive brain computer interfaces. [PDF]

J Neural Eng
Gupta D, Brangaccio J, Mojtabavi H, Wolpaw J, Hill NJ.   +4 more
europepmc   +1 more source

Two‐Photon Polymerized Microvascular Environments for Multicellular Modeling of the Blood–Brain Tumor Barrier

Advanced Materials Technologies, EarlyView.
Modeling the blood–brain tumor barrier is challenging due to complex interactions between brain microvasculature and glioma cells. We present two‐photon polymerized 3D micro‐porous capillary‐like structures that support endothelial alignment, cytoskeletal organization, and pericyte‐endothelial‐glioma tri‐cultures.
Nastaran Barin, Sayba Z. Chowdhury, Maurice de Wit, Rania Head, Kiki Bals, Erwin Brosens, Marvin M. van Luijn, Hayri E. Balcioglu, Angelo Accardo, Pim J. French   +9 more
wiley   +1 more source