Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Nikos Laskaris"'
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 15, Iss 1, Pp 1-18 (2018)
Abstract Background Phase synchrony has extensively been studied for understanding neural coordination in health and disease. There are a few studies concerning the implications in the context of BCIs, but its potential for establishing a communicati
Externí odkaz:
https://doaj.org/article/c27491707c534d2bb78343e062e8d755
Autor:
Kostas Georgiadis, Fotis Kalaganis, Ioannis Kompatsiaris, Nikos Laskaris, Vangelis Oikonomou, Spiros Nikolopoulos
Publikováno v:
Frontiers in Neuroergonomics. 2
Fueled by early success stories, the neuromarketing domain advanced rapidly during the last 10 years. As exciting new techniques were being adapted from medical research to the commercial domain, many neuroscientists and marketing practitioners have
Autor:
Iliana Lentzari, Suzanna Aligianni, Antonios Politis, Maria Skondra, Savvina Prapiadou, Eliza (Eleni-Zacharoula) Georgiou, Nikos Laskaris, Nikos Giannakis, Panagiotis Alexopoulos
Publikováno v:
International Psychogeriatrics. 33:5-6
Background:The triad of symptom groups of Alzheimer’s disease (AD) encompasses cognitive impairment (e.g. impaired memory or orientation), neuropsychiatric symptoms like apathy, depressive mood, delusions, hallucinations or anxiety, and functional
Autor:
Spiros Nikolopoulos, Nikos Laskaris, Ioannis Kompatsiaris, Dimitrios A. Adamos, Kostas Georgiadis
Publikováno v:
EUSIPCO
Optimal sensor selection is an issue of paramount importance in brain decoding. When associated with estimates of covariance, its implications concern not only classification accuracy, but also computational efficiency. However, very few attempts hav
Autor:
Dimitrios A. Adamos, Kostas Georgiadis, Nikos Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 29
Graph signal processing (GSP) provides signal analytic tools for data defined in irregular domains, as is the case of non-invasive electroencephalography (EEG). In this work, the recently introduced technique of Graph Slepian functions is exploited f
Autor:
Elisavet Chatzilari, Spiros Nikolopoulos, Nikos Laskaris, Fotis Kalaganis, Ioannis Kompatsiaris
Publikováno v:
Signal Processing to Drive Human-Computer Interaction: EEG and eye-controlled interfaces ISBN: 9781785619199
The ability of recognizing and correcting the erroneous actions is an integral part of human nature. Plenty of neuroscientific studies have been investigating the ability of human brain to recognize errors. The distinct neuronal responses that are pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d6480e53308b659ffba551009e013a2
https://doi.org/10.1049/pbce129e_ch11
https://doi.org/10.1049/pbce129e_ch11
Publikováno v:
Signal Processing to Drive Human-Computer Interaction: EEG and eye-controlled interfaces ISBN: 9781785619199
Motor imagery (MI) Brain Computer Interfaces (BCI) are considered the most prominent paradigms of endogenous BCIs, as they comply with the requirements of asynchronous implementations. As MI BCIs can be operated via the movement imagination of one li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4630b573c4971fc72b59a8d322a98f1
https://doi.org/10.1049/pbce129e_ch9
https://doi.org/10.1049/pbce129e_ch9
Autor:
Nikos Laskaris, Kostas Georgiadis, Diomidis Spinellis, Lefteris Angelis, Makrina Viola Kosti, Dimitrios A. Adamos
Publikováno v:
International Journal of Human-Computer Studies. 115:52-66
This paper provides a proof of concept for the use of wearable technology, and specifically wearable Electroencephalography (EEG), in the field of Empirical Software Engineering. Particularly, we investigated the brain activity of Software Engineers
Autor:
Kostas Georgiadis, Spiros Nikolopoulos, Ioannis Kompatsiaris, Nikos Laskaris, Dimitrios A. Adamos
Publikováno v:
EMBC
A novel decoding scheme for motor imagery (MI) brain computer interfaces (BCI's) is introduced based on the GFT concept. It considers the recorded EEG activity as a signal defined over (the graph of) the sensor array. A graph encapsulating the functi
Autor:
Ioannis Kompatsiaris, Spiros Nikolopoulos, Fotis Kalaganis, Elisavet Chatzilari, Nikos Laskaris
Publikováno v:
IEEE transactions on bio-medical engineering. 67(1)
Objective: Spatial covariance matrices are extensively employed as brain activity descriptors in brain computer interface (BCI) research that, typically, involve the whole array of sensors. Here, we introduce a methodological framework for delineatin