Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Vangelis P. Oikonomou"'
Autor:
Margarita Grammatikopoulou, Ioulietta Lazarou, Vasilis Alepopoulos, Lampros Mpaltadoros, Vangelis P. Oikonomou, Thanos G. Stavropoulos, Spiros Nikolopoulos, Ioannis Kompatsiaris, Magda Tsolaki
Publikováno v:
Frontiers in Aging Neuroscience, Vol 16 (2024)
IntroductionAssessing functional decline related to activities of daily living (ADLs) is deemed significant for the early diagnosis of dementia. As current assessment methods for ADLs often lack the ability to capture subtle changes, technology-based
Externí odkaz:
https://doaj.org/article/e401be20515b40b7802f1ad8eef62a86
Autor:
Kostas Georgiadis, Fotis P. Kalaganis, Kyriakos Riskos, Eleftheria Matta, Vangelis P. Oikonomou, Ioanna Yfantidou, Dimitris Chantziaras, Kyriakos Pantouvakis, Spiros Nikolopoulos, Nikos A. Laskaris, Ioannis Kompatsiaris
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-10 (2023)
Abstract Neuromarketing is a continuously evolving field that utilises neuroimaging technologies to explore consumers’ behavioural responses to specific marketing-related stimulation, and furthermore introduces novel marketing tools that could comp
Externí odkaz:
https://doaj.org/article/94d6edd2f98e40db9f5f71cf4f0cf4bb
Autor:
Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikos A. Laskaris, Ioannis Kompatsiaris
Publikováno v:
Brain Informatics, Vol 9, Iss 1, Pp 1-12 (2022)
Abstract Neuromarketing exploits neuroimaging techniques so as to reinforce the predictive power of conventional marketing tools, like questionnaires and focus groups. Electroencephalography (EEG) is the most commonly encountered neuroimaging techniq
Externí odkaz:
https://doaj.org/article/99cf26b1cf8a47c6a50d97ee93060f42
Autor:
Ioulietta Lazarou, Vangelis P. Oikonomou, Lampros Mpaltadoros, Margarita Grammatikopoulou, Vasilis Alepopoulos, Thanos G. Stavropoulos, Anastasios Bezerianos, Spiros Nikolopoulos, Ioannis Kompatsiaris, Magda Tsolaki, RADAR-AD Consortium
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
ObjectivesMeditation imparts relaxation and constitutes an important non-pharmacological intervention for people with cognitive impairment. Moreover, EEG has been widely used as a tool for detecting brain changes even at the early stages of Alzheimer
Externí odkaz:
https://doaj.org/article/8ccb1b1440f64c7bb668f9e4454f2b0a
Autor:
Ioulietta Lazarou, Spiros Nikolopoulos, Kostas Georgiadis, Vangelis P. Oikonomou, Agnes Mariakaki, Ioannis Kompatsiaris
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
We have designed a platform to aid people with motor disabilities to be part of digital environments, in order to create digitally and socially inclusive activities that promote their quality of life. To evaluate in depth the impact of the platform o
Externí odkaz:
https://doaj.org/article/15146020a5a54671b91845a74ab3bb07
Publikováno v:
IEEE Access, Vol 8, Pp 98572-98583 (2020)
The classification of Motor Imagery (MI) tasks constitutes one of the most challenging problems in Brain Computer Interfaces (BCI) mostly due to the varying conditions of its operation. These conditions may vary with respect to the number of electrod
Externí odkaz:
https://doaj.org/article/60fbede0a5354170938cd0a139579945
Autor:
Vangelis P. Oikonomou
Publikováno v:
Sensors, Vol 23, Iss 5, p 2425 (2023)
Brain biometrics have received increasing attention from the scientific community due to their unique properties compared to traditional biometric methods. Many studies have shown that EEG features are distinct across individuals. In this study, we p
Externí odkaz:
https://doaj.org/article/f15248b7757e44eb834b28acad3a2b1d
Autor:
Vangelis P. Oikonomou, Kostas Georgiadis, Fotis Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris
Publikováno v:
Sensors, Vol 23, Iss 5, p 2480 (2023)
In this work, we propose a novel framework to recognize the cognitive and affective processes of the brain during neuromarketing-based stimuli using EEG signals. The most crucial component of our approach is the proposed classification algorithm that
Externí odkaz:
https://doaj.org/article/3ff61a6f674347ee934f7e3e99e26e23
Autor:
Vangelis P. Oikonomou
Publikováno v:
Sensors, Vol 22, Iss 20, p 7715 (2022)
Steady-State Visual Evoked Potential (SSVEP) recognition methods use a subject’s calibration data to differentiate between brain responses, hence, providing the SSVEP-based brain–computer interfaces (BCIs) with high performance. However, they req
Externí odkaz:
https://doaj.org/article/6a7c8dec721e4a83a8556a30339808e0
Autor:
Spiros Nikolopoulos, Panagiotis C. Petrantonakis, Kostas Georgiadis, Fotis Kalaganis, Georgios Liaros, Ioulietta Lazarou, Katerina Adam, Anastasios Papazoglou-Chalikias, Elisavet Chatzilari, Vangelis P. Oikonomou, Chandan Kumar, Raphael Menges, Steffen Staab, Daniel Müller, Korok Sengupta, Sevasti Bostantjopoulou, Zoe Katsarou, Gabi Zeilig, Meir Plotnik, Amihai Gotlieb, Racheli Kizoni, Sofia Fountoukidou, Jaap Ham, Dimitrios Athanasiou, Agnes Mariakaki, Dario Comanducci, Edoardo Sabatini, Walter Nistico, Markus Plank, Ioannis Kompatsiaris
Publikováno v:
Data in Brief, Vol 15, Iss , Pp 1048-1056 (2017)
We present a dataset that combines multimodal biosignals and eye tracking information gathered under a human-computer interaction framework. The dataset was developed in the vein of the MAMEM project that aims to endow people with motor disabilities
Externí odkaz:
https://doaj.org/article/9fadec5bb00e4e7e814c80c3dbd6fd00