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Akademický článek

Autor: Michail Zorzos, Evgenios Avgerinos

Publikováno v: Journal of Research in Science, Mathematics and Technology Education, Vol 6, Iss 3, Pp 149-173 (2023)

The appeal of probability theory in everyday activities has resulted in its incorporation into the curricula of most countries. However, confusion persists within the international scientific community regarding the suitable age for introducing stude

Externí odkaz: https://doaj.org/article/b909cb6378b8423eb97adfea5c34209b

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Akademický článek

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Akademický článek

Unraveling Imaginary and Real Motion: A Correlation Indices Study in BCI Data

Autor: Stavros T. Miloulis, Ioannis Zorzos, Ioannis Kakkos, Aikaterini Karampasi, Errikos C. Ventouras, Ioannis Kalatzis, Charalampos Papageorgiou, Panteleimon Asvestas, George K. Matsopoulos

Publikováno v: Engineering Proceedings, Vol 50, Iss 1, p 11 (2023)

The efficient translation of brain signals into an output device is an essential characteristic to establish a Brain-computer Interface (BCI) link. This research investigates the applicability of diverse correlation indices for the differentiation of

Externí odkaz: https://doaj.org/article/067335cd11dd4cd485ce494323b2e4d3

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Akademický článek

Advances in Electrical Source Imaging: A Review of the Current Approaches, Applications and Challenges

Autor: Ioannis Zorzos, Ioannis Kakkos, Errikos M. Ventouras, George K. Matsopoulos

Publikováno v: Signals, Vol 2, Iss 3, Pp 378-391 (2021)

Brain source localization has been consistently implemented over the recent years to elucidate complex brain operations, pairing the high temporal resolution of the EEG with the high spatial estimation of the estimated sources. This review paper aims

Externí odkaz: https://doaj.org/article/65446a80215e495c80fb0741198ca09b

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Akademický článek

Functional analysis screening for inappropriate mealtime behavior.

Autor: Saini, Valdeep, Broto, Joan, Robbins, Meaghan, Totino, Micaela, Zorzos, Carobeth

Publikováno v: Behavioral Interventions; Jul2024, Vol. 39 Issue 3, p1-14, 14p

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Akademický článek

Applying Neural Networks with Time-Frequency Features for the Detection of Mental Fatigue

Autor: Ioannis Zorzos, Ioannis Kakkos, Stavros T. Miloulis, Athanasios Anastasiou, Errikos M. Ventouras, George K. Matsopoulos

Publikováno v: Applied Sciences, Vol 13, Iss 3, p 1512 (2023)

The detection of mental fatigue is an important issue in the nascent field of neuroergonomics. Although machine learning approaches and especially deep learning designs have constantly demonstrated their efficiency to automatically detect critical fe

Externí odkaz: https://doaj.org/article/a7205937bd69479c8b60a4ab5a4d69c5

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