Results 11 to 20 of about 90,513 (199)

A Review Regarding Neurorehabilitation Technologies for Hand Motor Functions [PDF]

Robotica & Management, 2022
The paper deals with a short review regarding neurorehabilitation technologies for regaining human hand mobility functions after a cerebrovascular accident or stroke.
Hamos J. Armin, Birouas Ionut Flaviu, Anton Daniel Melentie, Tarca Radu Catalin   +3 more
doaj   +1 more source

Cortico-muscular coupling to control a hybrid brain-computer interface for upper limb motor rehabilitation: A pseudo-online study on stroke patients

Frontiers in Human Neuroscience, 2022
Brain-Computer Interface (BCI) systems for motor rehabilitation after stroke have proven their efficacy to enhance upper limb motor recovery by reinforcing motor related brain activity.
Valeria de Seta, Valeria de Seta, Jlenia Toppi, Jlenia Toppi, Emma Colamarino, Emma Colamarino, Rita Molle, Filippo Castellani, Febo Cincotti, Febo Cincotti, Donatella Mattia, Floriana Pichiorri   +11 more
doaj   +1 more source

The hybrid BCI [PDF]

Frontiers in Neuroscience, 2010
Nowadays, everybody knows what a hybrid car is. A hybrid car normally has two engines to enhance energy efficiency and reduce CO2 output. Similarly, a hybrid brain-computer interface (BCI) is composed of two BCIs, or at least one BCI and another system.
Gert Pfurtscheller, Brendan Z Allison, Günther Bauernfeind, Clemens Brunner, Teodoro Solis Escalante, Reinhold Scherer, Thorsten O Zander, Gernot Mueller-Putz, Christa Neuper, Niels Birbaumer, Niels Birbaumer   +10 more
openaire   +4 more sources

Long-Term Mutual Training for the CYBATHLON BCI Race With a Tetraplegic Pilot: A Case Study on Inter-Session Transfer and Intra-Session Adaptation

Frontiers in Human Neuroscience, 2021
CYBATHLON is an international championship where people with severe physical disabilities compete with the aid of state-of-the-art assistive technology.
Lea Hehenberger, Lea Hehenberger, Reinmar J. Kobler, Reinmar J. Kobler, Reinmar J. Kobler, Catarina Lopes-Dias, Catarina Lopes-Dias, Nitikorn Srisrisawang, Nitikorn Srisrisawang, Peter Tumfart, John B. Uroko, Paul R. Torke, Gernot R. Müller-Putz, Gernot R. Müller-Putz, Gernot R. Müller-Putz   +14 more
doaj   +1 more source

Transcription Inhibitors with XRE DNA-Binding and Cupin Signal-Sensing Domains Drive Metabolic Diversification in Pseudomonas

mSystems, 2021
Transcription factors (TFs) are instrumental in the bacterial response to new environmental conditions. They can act as direct signal sensors and subsequently induce changes in gene expression leading to physiological adaptation.
Julian Trouillon, Michel Ragno, Victor Simon, Ina Attrée, Sylvie Elsen   +4 more
doaj   +1 more source

Soft Epidermal Paperfluidics for Sweat Analysis by Ratiometric Raman Spectroscopy

Biosensors, 2023
The expanding interest in digital biomarker analysis focused on non-invasive human bodily fluids, such as sweat, highlights the pressing need for easily manufactured and highly efficient soft lab-on-skin solutions.
Ata Golparvar, Lucie Thenot, Assim Boukhayma, Sandro Carrara   +3 more
doaj   +1 more source

Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review [PDF]

, 2020
A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI
Han, Chang-Hee, Hwang, Han-Jeong, Müller, Klaus-Robert   +2 more
core   +1 more source

Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP Paradigm

Frontiers in Computational Neuroscience, 2021
Brain-Computer Interface (BCI) systems enable an alternative communication channel for severely-motor disabled patients to interact with their environment using no muscular movements.
Ricardo Ron-Angevin, M. Teresa Medina-Juliá, Álvaro Fernández-Rodríguez, Francisco Velasco-Álvarez, Jean-Marc Andre, Veronique Lespinet-Najib, Liliana Garcia   +6 more
doaj   +1 more source

Predicting mental imagery based BCI performance from personality, cognitive profile and neurophysiological patterns [PDF]

, 2015
Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer using their brain-activity alone (typically measured by ElectroEncephaloGraphy— EEG), which is processed while they perform specific mental tasks.
A Bamdadian, A Harris, A Lécuyer, A Ramos-Murguialday, A Vromen, AL Benton, B Allison, B Blankertz, B Graimann, Bernard N’Kaoua, BP Rourke, C Guger, C Neuper, C Neuper, Camille Jeunet, CD Spielberger, D Coyle, D Wechsler, DA Kolb, DB Berch, Doron Friedman, E Combrisson, EM Hammer, EM Hammer, EV Friedrich, F Lotte, F Nijboer, F Nijboer, Fabien Lotte, G Pfurtscheller, GR Müller-Putz, H Levenson, H Ramoser, I Daum, JB Van Erp, JdR Millán, JHK Friedman, JR Wolpaw, KK Ang, L Aftanas, LF Nicolas-Alonso, M Ahn, M Ahn, M Grosse-Wentrup, M Grosse-Wentrup, M Witte, Martin Hachet, MG Moore, MJ Whittingham, MM Bradley, N Hara, N LeBoutillier, N Neumann, R N’Kambou, RB Cattell, RH Bruininks, RM Felder, S Derksen, SE Poltrock, SG Vandenberg, Sriram Subramanian, W Burde, W Klimesch, WS Noble, Y Renard   +64 more
core   +8 more sources

Acoustic transmission loss in Hilbert fractal metamaterials

Scientific Reports, 2023
Acoustic metamaterials are increasingly being considered as a viable technology for sound insulation. Fractal patterns constitute a potentially groundbreaking architecture for acoustic metamaterials.
Gianni Comandini, Morvan Ouisse, Valeska P. Ting, Fabrizio Scarpa   +3 more
doaj   +1 more source