Zobrazeno 1 - 10
of 21
pro vyhledávání: '"R. Pruckl"'
Autor:
Christoph Kapeller, R. Pruckl, Christoph Guger, Johannes Grunwald, Shusei Fukuyama, Kyousuke Kamada, Takahiro Sanada, Hiroshi Ogawa
Publikováno v:
SMC
Previous neuroimaging studies have reported that the ventral temporal cortex (VTC) processes visual stimuli and thereby establish visual categories, which can be detected in electrophysiological signals such as electrocorticography (ECoG). However, m
Autor:
Johannes Grunwald, R. Pruckl, Kyousuke Kamada, Christoph Kapeller, Christoph Guger, Hiroshi Ogawa
Electrocorticogram (ECoG)-based brain–computer interfaces (BCIs) use electrode grids and strips that are directly positioned over the cortex, and provide higher spatial resolution and a broader frequency range than noninvasive methods. The ECoG can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f7180fa783a229546e1336c510aa89d
https://doi.org/10.1016/b978-0-12-812892-3.00009-1
https://doi.org/10.1016/b978-0-12-812892-3.00009-1
Autor:
Josef Scharinger, Christoph Kapeller, Kyousuke Kamada, Christoph Guger, Fumiya Takeuchi, Abderrahmane Kheddar, Rupert Ortner, Hiroshi Ogawa, Pierre Gergondet, R. Pruckl
Publikováno v:
EMBC
Intention recognition through decoding brain activity could lead to a powerful and independent Brain-Computer-Interface (BCI) allowing for intuitive control of devices like robots. A common strategy for realizing such a system is the motor imagery (M
Autor:
Christoph Kapeller, Christoph Guger, Kyousuke Kamada, Rupert Ortner, Naoto Kunii, Christoph Schneider, R. Pruckl, Hiroshi Ogawa
Publikováno v:
EMBC
Decoding brain activity of corresponding highlevel tasks may lead to an independent and intuitively controlled Brain-Computer Interface (BCI). Most of today's BCI research focuses on analyzing the electroencephalogram (EEG) which provides only limite
Autor:
R. Pruckl, Angelika Peer, Mohammad Abu-Alqumsan, Christoph Kapeller, Christoph Guger, Christoph Hintermüller
Publikováno v:
EMBC
A brain-computer interface (BCI) translates brain activity into commands to control devices or software. Common approaches are based on visual evoked potentials (VEP), extracted from the electroencephalogram (EEG) during visual stimulation. High info
Publikováno v:
Biomedizinische Technik. Biomedical engineering. 58
Publikováno v:
Klinische Neurophysiologie. 44
Autor:
Ursula Costa, Eloy Opisso, Josep R. Medina, Christoph Guger, Fabio Aloise, Alexander Lechner, Francesca Schettini, Veronika Putz, Rupert Ortner, Josef Scharinger, R. Pruckl
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642315336
ICCHP (2)
ICCHP (2)
A Brain-Computer Interface (BCI) can provide an additional option for a person to express himself/herself if he/she suffers a disorder like amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury or other diseases affecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5905d375bd990f69ba3787a1617d3fb4
https://doi.org/10.1007/978-3-642-31534-3_27
https://doi.org/10.1007/978-3-642-31534-3_27
Autor:
Brendan Z. Allison, R. Pruckl, Bernhard Großwindhager, Christoph Kapeller, Günter Edlinger, Gunther Krausz, Christoph Guger, Christoph Hintermüller, Markus Bruckner
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 6 (2012)
Frontiers in Neuroscience, Vol 6 (2012)
Brain-computer interfaces (BCI) are communication systems that allow people to send messages or commands without movement. BCIs rely on different types of signals in the electroencephalogram (EEG), typically P300s, steady-state visually evoked potent
Autor:
Roni Hogri, Matti Mintz, Nir Nossenson, Andrea Giovannucci, Majd Zreik, Josef Scharinger, Paul F. M. J. Verschure, Mira Marcus-Kalish, Y. Shacham, R. Ofek Almog, Christoph Guger, Simeon A. Bamford, R. Ortner, Aryeh H. Taub, Ivan Herreros, R. Pruckl, A. Silmon, Eyal Segalis, Ari Magal, Hagit Messer, E. Grunbacher
Publikováno v:
CCMB
In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for d