Publications

J1. Miltiadous, A., Tzimourta, K. D., Giannakeas, N., … & Tzallas, A. T. (2023). “Machine Learning Algorithms for Epilepsy Detection based on published EEG databases: A Systematic Review,” in IEEE Access , https://doi.org/10.1109/ACCESS.2022.3232563 .

J2. Christou, V., Miltiadous, A., Tsoulos, I., Karvounis, E., Tzimourta, K. D., Tsipouras, M. G., … & Giannakeas, N. (2022). Evaluating the Window Size’s Role in Automatic EEG Epilepsy Detection. Sensors, 22(23), 9233. https://doi.org/10.3390/s22239233

J3. Glavas, K., Prapas, G., Tzimourta, K. D., Giannakeas, N., & Tsipouras, M. G. (2022). Evaluation of the User Adaptation in a BCI Game Environment. Applied Sciences, 12(24), 12722. https://doi.org/10.3390/app122412722

J4. Aspiotis, V.; Miltiadous, A.; Kalafatakis, K.; Tzimourta, K.D.; Giannakeas, N.; Tsipouras, M.G.; Peschos, D.; Glavas, E.; Tzallas, A.T. Assessing Electroencephalography as a Stress Indicator: A VR High-Altitude Scenario Monitored through EEG and ECG. Sensors 2022, 22, 5792. https://doi.org/10.3390/s22155792

J5. Christodoulides, P., Miltiadous A., Tzimourta, K. D., Peschos, D., Tzallas, A. T., “Classification of EEG Signals from Young Adults with Dyslexia combining a Brain Computer Interface and an Interactive Linguistic Software Tool”. Biomedical Signal Processing & Control, 2022, 76, 103646 https://doi.org/10.1016/j.bspc.2022.103646 (Q2)

J6. Miltiadous A., Tzimourta, K.D., Giannakeas, N., Tsipouras, M. G., Afrantou T., Ioannidis P., Tzallas, A. T. (2021). Alzheimer’s disease and Frontotemporal dementia: A robust classification method of EEG signals and a comparison of validation methods. Diagnostics. 11(8), 1437. https://doi.org/10.3390/diagnostics11081437 (Q3)

J7. Tzimourta, K.D., Christou, V., Tzallas, A.T., Giannakeas, N., Astrakas, L.G., Angelidis, P., Tsalikakis, D. and Tsipouras, M.G., (2021). “Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review”. International Journal of Neural Systems, pp.2130002-21300033. https://doi.org/10.1142/S0129065721300023 (Q1)

J8. Antoniou, E., Bozios, P., Christou, V., Tzimourta, K.D., Kalafatakis, K., G Tsipouras, M., Giannakeas, N. and Tzallas, A.T., (2021). EEG-Based Eye Movement Recognition Using the Brain–Computer Interface and Random Forests. Sensors, 21(7), p.2339. https://doi.org/10.3390/s21072339 (Q2)

J9. Zakopoulou, V., Tzimourta, K. D., Ntritsos, G., Tzallas, A. T., Tsipouras, M. G., Astrakas, L. G., … & Giannakeas, N. (2021). Towards Correct and Safe Diagnosis of Specific Learning Disorder in Preschool Age. The perspective of Early Multi-collector Diagnostic Approaches. A Pilot Study. Acta Scientific Neurology (ISSN: 2582-1121), 4(6).

J10. Tzimourta K. D., Afrantou T., Ioannidis P., Karatzikou M., Tzallas A.T., Giannakeas N., Astrakas L., Glavas E., Grigoriadis N., Angelidis P., Tsalikakis D. G., and Tsipouras M. G. (2019). “Analysis of EEG signals complexity regarding Alzheimer’s Disease”. Computers and Electrical Engineering. 76, 198-212. https://doi.org/10.1016/j.compeleceng.2019.03.018 (Q1)

J11. Tzimourta K. D., Giannakeas N., Tzallas A.T., Astrakas L., Afrantou T., Ioannidis P., Grigoriadis N., Angelidis P., Tsalikakis D. G. and Tsipouras M. G. (2019). “EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions”. Brain sciences, 9(4), 81. https://doi.org/10.3390/brainsci9040081 (Q2)

J12. Tzimourta, K. D., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Tsalikakis, D. G., Angelidis, P., & Tsipouras, M. G. (2018). A robust methodology for classification of epileptic seizures in EEG signals. Health and Technology, 9, 135-142 https://doi.org/10.1007/s12553-018-0265-z (Q3)

J13. Tzimourta, K. D., Tsoulos, I., Bilero, T., Tzallas, A. T., Tsipouras, M. G., and Giannakeas, N. (2018). Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution. Inventions, 3(3), 51. https://doi.org/10.3390/inventions3030051 (Q2)

J14. Tzimourta, K. D., Astrakas, L. G., Gianni, A. M., Tzallas, A. T., Giannakeas, N., Paliokas, I., & Tsipouras, M. G. (2018). Evaluation of window size in classification of epileptic short-term EEG signals using a Brain Computer Interface software. Engineering, Technology & Applied Science Research, 8(4), 3093-3097 https://doi.org/10.48084/etasr.2031

J15. Tzimourta, K. D., Tsilimbaris, A., Tzioukalia, K., Tzallas, A. T., Tsipouras, M. G., Astrakas, L. G., & Giannakeas, N. (2018). Eeg-based automatic sleep stage classification. Biomedical Journal of Scientific & Technical Research, 1, 6 https://doi.org/10.26717/BJSTR.2018.07.001535

C1. Prapas, G., Glavas, K., Tzallas, A. T., Tzimourta, K. D., Giannakeas, N., & Tsipouras, M. G. (2022, September). Motor Imagery Approach for BCI Game Development. In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-5). IEEE.

C2. Sakkas, K., Tsogka, A., Gkimitzoudis, A., Giannakeas, N., Tzimourta, K. D., Tsipouras, M., … & Tzallas, A. T. (2022, September). Analysis of Emotions through the Use of Physiological Signals. In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-7). IEEE.

C3. Sakkas, K., Tsogka, A., Giannakeas, N., Tzimourta, K. D., Tzallas, A. T., & Glavas, E. (2022, September). Applied Virtual Reality in 3D Geometry. In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-5). IEEE.

C4. Sakkas, K., Ntagka, N. E., Vinni, P., Artemi, P., Anagnostakis, A., Giannakeas, N., Tzimourta, K.D., Tzallas, A.T. & Glavas, E. (2022, September). A survey on the awareness on Virtual Reality, Internet of Things and Blockchain in the 4 th IR era. In 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-6). IEEE.

C5. Misirlis, Y., Tzimourta, K.D., Angelidis, P., Giannakeas, N., Tzallas, A.T., Tsipouras, M.G. “Pediatric epilepsy assessment based on EEG analysis”. In 2022 45th International Conference on Telecommunications and Signal Processing (TSP) (pp. 377-380). IEEE., 2022

C6. Glavas, K., Prapas, G., Tzimourta, K.D., Tzallas, A.T., Giannakeas, N., Tsipouras, M.G. “ Intra-User Analysis Based on Brain-Computer Interface Controlled Game”. In 2022 45th International Conference on Telecommunications and Signal Processing (TSP) (pp. 386-390). IEEE., 2022

C7. Aspiotis, V., Peschos, D., Tzimourta, K. D., Tsipouras, M. G., Antoniou, E., Giannakeas, N., … & Glavas, E. “Active touch classification using EEG signals”. In 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-5). IEEE., 2021

C8. Christodoulides, P., Zakopoulou, V., Tzimourta, K. D., Tzallas, A. T., Peschos, D., “The Contribution of EEG Recordings to the Audiovisual Recognition of Words in University Students with Dyslexia”. In Psychological Applications and Trends 2021 (InPACT 2021), (pp.374-378). inScience Press, Portugal, 2021

C9. Tzimourta, K. D., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Tsalikakis, D. G., and Tsipouras, M. G. “Epileptic Seizures Classification Based on Long-Term EEG Signal Wavelet Analysis”. In Precision Medicine Powered by pHealth and Connected Health (pp. 165-169). Springer, Singapore., 2018

C10. Tzimourta K. D., Astrakas L. G., Tsipouras M. G., Giannakeas N., Tzallas A. T. and Konitsiotis S., “Wavelet based classification of epileptic seizures in EEG signals”, 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

C11. Tzallas A.T., Giannakeas N., Zoulis K., Tsipouras M.G., Glavas E., Tzimourta K.D, Astrakas L.G., Konitsiotis S., “EEG classification and Short-Term Epilepsy Prognosis using Brain Computer Interface Software”, 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

ΕΑ1. Θεοδωρίδου Ν., Βλάικου ΑΜ., Παπαγεωργίου Κ., Χονδρού Β., Ζακοπούλου Β., Χριστοδουλίδης Π., Τζημούρτα Κ., Τζάλλας Α., Τσάμης Κ., Πέσχος Δ., Σγουρού Α., Σύρρου Μ., Μιχαηλίδης Θ., (2021, 20-21 Νοεμβρίου) ΑΝΑΠΤΥΞΙΑΚΗ ΔΥΣΛΕΞΙΑ: ΗΛΕΚΤΡΟΕΓΚΕΦΑΛΟΓΡΑΦΗΜΑ (ΗΕΓ) ΚΑΙ ΜΟΡΙΑΚΑ ΕΥΡΗΜΑΤΑ [poster presentation], 4^ο Πανελλήνιο Συνέδριο “Διερευνώντας το γονιδίωμα του ανθρώπου, αντιμετωπίζοντας τα γενετικά νοσήματα”, διαδικτυακό συνέδριο

EA2. Tzimourta K. D., Giannakeas N., Tzallas A.T., Afrantou T., Ioannidis P., Grigoriadis N., Tsalikakis D. G., and Tsipouras M. G. (2021, May 09-10), “ALZHEIMER’S DISEASE SEVERITY ASSESSMENT FROM EEG” [poster presentation],, 8th Panhellenic Conference on Biomedical Engineering, Athens, Greece, https://www.elevit.org.gr/images/elevit_2019/proceedings_elebit_2019.pdf