Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ioannis Xygonakis"'
Autor:
Alkinoos Athanasiou, Nikos Terzopoulos, Niki Pandria, Ioannis Xygonakis, Nicolas Foroglou, Konstantinos Polyzoidis, Panagiotis D. Bamidis
Publikováno v:
Neural Plasticity, Vol 2018 (2018)
Reciprocal communication of the central and peripheral nervous systems is compromised during spinal cord injury due to neurotrauma of ascending and descending pathways. Changes in brain organization after spinal cord injury have been associated with
Externí odkaz:
https://doaj.org/article/a9a1d7518f0a47fd9f58506efddea804
Autor:
Hai Thanh Nguyen, Arne Munch-Ellingsen, Ilias Kalamaras, Ioannis Xygonakis, Sigmund Akselsen, Dimitrios Tzovaras, Konstantinos Votis, Andreas Jacobsen Lepperod, Konstantinos Glykos, Kerstin Bach
Publikováno v:
MEDES
Visual analytics have an important role in the exploration and analysis of large amounts of data in IoT applications. Data visualizations can provide overviews of different aspects of data and user interaction can assist exploration. Recent advances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55b41d242b9885b3c1526f0cbe6e49dd
https://doi.org/10.1145/3297662.3365816
https://doi.org/10.1145/3297662.3365816
Autor:
Niki Pandria, Dimitris Kugiumtzis, Ioannis Xygonakis, Alkinoos Athanasiou, Panagiotis D. Bamidis
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2018 (2018)
Computational Intelligence and Neuroscience, Vol 2018 (2018)
Brain-Computer Interface (BCI) is a rapidly developing technology that aims to support individuals suffering from various disabilities and, ultimately, improve everyday quality of life. Sensorimotor rhythm-based BCIs have demonstrated remarkable resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3fca1cb9bed510260f0353832a2dd0d
https://pubmed.ncbi.nlm.nih.gov/30154834
https://pubmed.ncbi.nlm.nih.gov/30154834
Autor:
George Arfaras, Nicolas Foroglou, A. Astaras, Panagiotis D. Bamidis, Ioannis Xygonakis, Konstantinos Polyzoidis, Niki Pandria, Kyriaki Rafailia Kavazidi, Panagiotis Kartsidis, Alkinoos Athanasiou
Publikováno v:
CBMS
Spinal Cord Injury (SCI), along with disability, results in changes of brain organization and structure. While sensorimotor networks of patients and healthy individuals share similar patterns, unique functional interactions have been identified in SC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c94954d2ad99541e18a711d130fc2e9
https://doi.org/10.1109/cbms.2017.35
https://doi.org/10.1109/cbms.2017.35
Autor:
George Arfaras, Nicolas Foroglou, Niki Pandria, Alkinoos Athanasiou, Panagiotis D. Bamidis, Panagiotis Kartsidis, Ioannis Xygonakis, A. Astaras, Kyriaki Rafailia Kavazidi
Publikováno v:
BioMed Research International, Vol 2017 (2017)
BioMed Research International
BioMed Research International
Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human patients. Noninvasive brain-computer interfaces (BCIs) are popular due to considerable advantages inclu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3faa5d88f579aea7b751efe04c4cc194
Autor:
A. Astaras, George Arfaras, Alkinoos Athanasiou, Niki Pandria, Nicolas Foroglou, Ioannis Xygonakis, Panagiotis D. Bamidis
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2017 (2017)
Patients suffering from life-changing disability due to Spinal Cord Injury (SCI) increasingly benefit from assistive robotics technology. The field of brain-computer interfaces (BCIs) has started to develop mature assistive applications for those pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d3ec95be3c450cd536211128dfbc22d
Autor:
Leontios J. Hadjileontiadis, Pavlos Triantaris, Angeliki-Ιlektra Karaiskou, Christos-Rafail Argyriou, Anastasia Karatzia, Despoina Petsani, Chrysoula Kaza, Chrysa D. Papadaniil, Anastasios Galanopoulos, Ioannis Xygonakis
Publikováno v:
XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016 ISBN: 9783319327013
Evoked Related Potentials (ERPs) analysis for distinguishing between bottom-up and top-down attention, using 256-channel EEG signals obtained by measurements on humans, is investigated here. The three main ERPs, i.e., N170, P300, N400 were obtained a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a17ba9eacdbdd7269e7bc64b683b135a
https://doi.org/10.1007/978-3-319-32703-7_2
https://doi.org/10.1007/978-3-319-32703-7_2
