Zobrazeno 1 - 10
of 37 639
pro vyhledávání: '"Brain computer interface"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Motor imagery electroencephalography (EEG) analysis is crucial for the development of effective brain-computer interfaces (BCIs), yet it presents considerable challenges due to the complexity of the data and inter-subject variability. This p
Externí odkaz:
https://doaj.org/article/ad79cc91eb6c4b52bc1e32355d0252c5
Autor:
Gabriella Miklós, László Halász, Maximilian Hasslberger, Emilia Toth, Ljubomir Manola, Saman Hagh Gooie, Gijs van Elswijk, Bálint Várkuti, Loránd Erőss
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Sensory substitution offers a promising approach to restore lost sensory functions. Here we show that spinal cord stimulation (SCS), typically used for chronic pain management, can potentially serve as a novel auditory sensory substitution d
Externí odkaz:
https://doaj.org/article/3710c1ac10a2496f854c5bc7448381b2
Publikováno v:
Current Directions in Biomedical Engineering, Vol 10, Iss 3, Pp 21-24 (2024)
Augmented reality (AR) technologies enhance a user’s physical environment by providing contextual information about their surroundings. This information might appear incongruent to users, either due to their current mental context or factual errors
Externí odkaz:
https://doaj.org/article/afaa4d3da9384b8bba694930460bff73
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In the field of brain-computer interface (BCI) based on motor imagery (MI), multi-channel electroencephalography (EEG) data is commonly utilized for MI task recognition to achieve sensory compensation or precise human-computer interaction. H
Externí odkaz:
https://doaj.org/article/3d0e47f9dbc04cb8a6a2214bb7d6d766
EEG-TCNTransformer: A Temporal Convolutional Transformer for Motor Imagery Brain–Computer Interfaces
Publikováno v:
Signals, Vol 5, Iss 3, Pp 605-632 (2024)
In brain–computer interface motor imagery (BCI-MI) systems, convolutional neural networks (CNNs) have traditionally dominated as the deep learning method of choice, demonstrating significant advancements in state-of-the-art studies. Recently, Trans
Externí odkaz:
https://doaj.org/article/7ac9c8d5351b462aaa6da35c9ae28884
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract Injection molding is a common plastic processing technique that allows melted plastic to be injected into a mold through pressure to form differently shaped plastic parts. In injection molding, in-mold electronics (IME) can include various c
Externí odkaz:
https://doaj.org/article/259e5a823ef143559f3f51cd7120e5e2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation. EEG-based motor imagery (MI) plays a pivotal role in BCI, enabli
Externí odkaz:
https://doaj.org/article/17a908abdce64f258638f53ed0f0d7ec
Autor:
Johanna Krueger, Richard Krauth, Christoph Reichert, Serafeim Perdikis, Susanne Vogt, Tessa Huchtemann, Stefan Dürschmid, Almut Sickert, Juliane Lamprecht, Almir Huremovic, Michael Görtler, Slawomir J. Nasuto, I.-Chin Tsai, Robert T. Knight, Hermann Hinrichs, Hans-Jochen Heinze, Sabine Lindquist, Michael Sailer, Jose del R. Millán, Catherine M. Sweeney-Reed
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Functional electrical stimulation (FES) can support functional restoration of a paretic limb post-stroke. Hebbian plasticity depends on temporally coinciding pre- and post-synaptic activity. A tight temporal relationship between motor cortic
Externí odkaz:
https://doaj.org/article/3b11794ff6b4421cbfe37356e9bb5c8c