Results 161 to 170 of about 318,701 (312)
Hidden Markov Models for SSVEP-based brain computer interfaces with decision-feedback training
M. Hartmann, Tilmann Kluge
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Neural electrodes face a mechanical mismatch with brain tissue. This study proposes a bioelectromechanical coupling strategy using an ultra‐flexible electrode designed for synchronized motion. Optimized to match brain tissue stiffness, it achieves dual signal acquisition and micromotion sensing, with characterized interfacial forces and piezoresistive ...
Donglei Chen +11 more
wiley +1 more source
Toward Brain-Computer Interface motor rehabilitation for people with Multiple Sclerosis. [PDF]
Sebastián-Romagosa M +9 more
europepmc +1 more source
Brain Computer Interface Boulevard of Smarter Thoughts [PDF]
Sumit Ghulyani +3 more
openalex +1 more source
The N400 for brain computer interfacing: complexities and opportunities [PDF]
Karen Dijkstra +2 more
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We present a strategy to enhance magnetic hyperthermia therapy by modulating nanoparticle–cell interactions. Antibody‐functionalized magnetic nanoparticles targeting the low‐internalizing CCR9 receptor enable spatially controlled membrane anchoring, reducing aggregation and maximizing heat generation under alternating magnetic fields.
David Egea‐Benavente +5 more
wiley +1 more source
Passive Brain-Computer Interface Using Textile-Based Electroencephalography. [PDF]
Anzalone A, Acampora E, Liu C, Hajra SG.
europepmc +1 more source
Developing a brain-computer interface: principles and techniques [PDF]
Devlaminck, Dieter
core +1 more source
Exploring Two Novel Features for EEG-based Brain-Computer Interfaces:\n Multifractal Cumulants and Predictive Complexity [PDF]
Nicolas Brodu +2 more
openalex +1 more source

