Zobrazeno 1 - 10
of 270
pro vyhledávání: '"P Asvestas"'
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1708-1736 (2024)
This study harnesses EEG signals to enable the real-time control of servo motors, utilizing the OpenBCI Community Dataset to identify and assess brainwave patterns related to motor imagery tasks. Specifically, the dataset includes EEG data from 52 su
Externí odkaz:
https://doaj.org/article/4ced32df34a94d4bbb36e0d2db2fcd79
Autor:
Stylianos Tzeis, MD, PhD, Sandro Brusich, MD, PhD, Šime Manola, MD, PhD, Dejan Kojić, MD, Andrej Pernat, MD, PhD, Dimitrios Asvestas, MD, Theodoros Xenos, Ana Lanča Bastiančić, MD, Milosav Tomović, MD, Martin Rauber, MD, PhD, Panos Vardas, MD, PhD, Nikola Pavlović, MD, PhD
Publikováno v:
Hellenic Journal of Cardiology, Vol 72, Iss , Pp 1-8 (2023)
Introduction: Acute pulmonary vein (PV) reconnection is frequently encountered in patients undergoing PV isolation (PVI) procedure for the treatment of atrial fibrillation. In this study, we investigated whether the identification and ablation of res
Externí odkaz:
https://doaj.org/article/61264cf770d64922b8c6f3b761cded06
Autor:
Georgios P. Mastrotheodoros, Anastasios Asvestas, Theofanis Gerodimos, Dimitrios F. Anagnostopoulos
Publikováno v:
Heritage, Vol 6, Iss 2, Pp 1903-1920 (2023)
Macroscopic X-ray fluorescence analysis (MA-XRF) is a non-destructive analytical technique that allows for the rapid and thorough investigation of paintings; therefore, it is nowadays increasingly involved in relevant studies. In the present work, a
Externí odkaz:
https://doaj.org/article/e19d3ddaaec54d09916d00accb9d3cd0
Autor:
Theofanis Gerodimos, Ioanna Vasiliki Patakiouta, Vassilis M. Papadakis, Dimitrios Exarchos, Anastasios Asvestas, Georgios Kenanakis, Theodore E. Matikas, Dimitrios F. Anagnostopoulos
Publikováno v:
Journal of Imaging, Vol 10, Iss 4, p 95 (2024)
Scanning micrο X-ray fluorescence (μ-XRF) and multispectral imaging (MSI) were applied to study philately stamps, selected for their small size and intricate structures. The μ-XRF measurements were accomplished using the M6 Jetstream Bruker scanne
Externí odkaz:
https://doaj.org/article/526189e660c14783bbffb92ffe0461c8
Evaluation of Integrals Related to the Magnetic Field Integral Equation Over Bilinear Quadrilaterals
Autor:
Asvestas, John S.
We present a new method for computing the impedance matrix elements in the method of moments for geometries described by bilinear quadrilaterals (BQ) and for higher-order basis functions (HOBF). Our method is restricted to the Magnetic Field Integral
Externí odkaz:
http://arxiv.org/abs/1703.02333
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
Autor:
Panteleimon Koudounas, Efthymios Koniaris, Ioannis Manolis, Panteleimon Asvestas, Spiros Kostopoulos, Dionisis Cavouras, Dimitris Glotsos
Publikováno v:
Sensors, Vol 23, Iss 23, p 9344 (2023)
(1) Background: Reviewing biological material under the microscope is a demanding and time-consuming process, prone to diagnostic pitfalls. In this study, a methodology for tomographic imaging of tissue sections is presented, relying on the idea that
Externí odkaz:
https://doaj.org/article/3c78a5986d6543799f6f2d1674f22ba1
Autor:
Spiros Kostopoulos, Nada Boci, Dionisis Cavouras, Antonios Tsagkalis, Maria Papaioannou, Alexandra Tsikrika, Dimitris Glotsos, Pantelis Asvestas, Eleftherios Lavdas
Publikováno v:
Journal of Imaging, Vol 9, Iss 11, p 252 (2023)
Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim to identify textural changes in knee lesions based on bone marrow edema (BME), injury (INJ), and osteoarthritis (OST). One hundr
Externí odkaz:
https://doaj.org/article/8bc0db75868e4486ad50ceabccbf00db
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Akademický článek
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