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6篇 您的检索式:作者名="Athanasios Alexiou"
    题名 作者 年代 出处 被引量
1Diffusion tensor and dynamic susceptibility contrast MRI in glioblastoma显示文摘Anastasia K. Zikou George A. Alexiou Paraskevi Kosta Ann Goussia Loukas Astrakas Periklis Tsekeris Spyridon Voulgaris Vasiliki Malamou-Mitsi Athanasios P. Kyritsis Maria I. Argyropoulou 2011Clinical Neurology and Neurosurgery2011,,6:1
2Diagnostic value of anti-cyclic citrullinated peptide antibodies in Greek patients with rheumatoid arthritis显示文摘Ioannis Alexiou Anastasios Germenis Athanasios Ziogas 2007BMC Musculoskeletal Disorders2007,8,:1
3Comparison of Sanger Sequencing, Pyrosequencing, and Melting Curve Analysis for the Detection of KRAS Mutations显示文摘Athanasios C. Tsiatis Alexis Norris-Kirby Roy G. Rich Michael J. Hafez Christopher D. Gocke James R. Eshleman Kathleen M. Murphy 2010The Journal of Molecular Diagnostics2010,,4:1
4Genetic and molecular alterations in meningiomas显示文摘George A. Alexiou Sofia Markoula Pinelopi Gogou Athanasios P. Kyritsis 2010Clinical Neurology and Neurosurgery2010,,4:1
5A Stochastic Model for Protein Synthesis and Activation through RNA-Protein Interaction in BioAmbients Calculus显示文摘Athanasios Alexiou Maria Psiha Panayiotis Vlamos 2011Computer Technology and Application2011,2,7:0
6Design and Development of Low-cost Wearable Electroencephalograms (EEG) Headset显示文摘Electroencephalogram(EEG)is a method of capturing the electrophy-siological signal of the brain.An EEG headset is a wearable device that records electrophysiological data from the brain.This paper presents the design and fab-rication of a customized low-cost Electroencephalogram(EEG)headset based on the open-source OpenBCI Ultracortex Mark IV system.The electrode placement locations are modified under a 10–20 standard system.The fabricated headset is then compared to commercially available headsets based on the following para-meters:affordability,accessibility,noise,signal quality,and cost.First,the data is recorded from 20 subjects who used the EEG Headset,and signals were recorded.Secondly,the participants marked the accuracy,set up time,participant comfort,and participant perceived ease of set-up on a scale of 1 to 7(7 being excellent).Thirdly,the self-designed EEG headband is used by 5 participants for slide changing.The raw EEG signal is decomposed into a series of band sig-nals using discrete wavelet transform(DWT).Lastly,thesefindings have been compared to previously reported studies.We concluded that when used for slide-changing control,our self-designed EEG headband had an accuracy of 82.0 percent.We also concluded from the results that our headset performed well on the cost-effectiveness scale,had a reduced setup time of 2±0.5 min(the short-est among all being compared),and demonstrated greater ease of use.Riaz Muhammad Ahmed Ali M.Abid Anwar Toufique Ahmed Soomro Omar AlShorman Adel Alshahrani Mahmoud Masadeh Ghulam Md Ashraf Naif H.Ali Muhammad Irfan Athanasios Alexiou 2023Intelligent Automation & Soft Computing2023,,3:0
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