Katerina Tzimourta

Postdoctoral Researcher
University of Western Macedonia

I'm

About

Personal Information

  • Expertise: Medical Informatics
  • City: Ioannina, Epirus, Greece
  • CV: here
  • Age: 30
  • Email: ktzimourta@uoi.gr
  • Phone: +302651020663

Katerina D. Tzimourta is currently a Postdoctoral Researcher in the Department of Electrical & Computer Engineering, University of Western Macedonia, Greece. She is also an Academic Scholar in the Department of Informatics and Telecommunications, University of Ioannina, Greece. She is an Informatics & Telecommunications Engineer by education (University of Western Macedonia, 2015). During her PhD she received a scholarship from the State Scholarships Foundation (IKY) to elaborate her doctoral thesis. She has worked on research projects and she has published 8 articles in peer-reviewed international scientific journals, and 4 papers on peer-reviewed international conferences in the biomedical field, focusing on EEG analysis. She serves as a Reviewer in MDPI and Elsevier journals and also as a Guest Editor in two Special Issues (Telecom and Diagnostics MDPI open-access journals). She is currently focused on biosignal processing methods, Brain-Computer Interfaces and wearable devices for movement and brain disorders' analysis. Her research interests are also towards rare genetic disorders and she is personally involved with the extreme rare Kleefstra Syndrome.;

Facts

10

PUBLICATIONS IN SCIENTIFIC JOURNALS

5

PUBLICATIONS IN CONFERENCE PROCEEDINGS

7

REVIEWER IN INTERNATIONAL JOURNALS

2

REVIEWER IN INTERNATIONAL CONFERENCES

Resume

Education

Postdoctoral Researcher

08/2020 – Current

Postdoctoral Researcher, Department of Electrical and Computer Engineering, Polytechnic School, University of Western Macedonia, Kozani, Greece
Title: «Analysis of Electroencephalographic (EEG) Signals from Wearable Sensors for the Development of a Brain-Computer Interface System»

Doctorate

11/2016 – 07/2020

Doctorate, Medical Physics Laboratory, School of Medicine, University of Ioannina, Ioannina, Greece
Dissertation title: “Electroencephalographic (EEG) signal analysis acquired from clinical EEG recordings and data acquired from wearable devices for brain and cognitive disorders’ analysis”

Engineer’s Diploma (Integrated Master)

10/2009 – 11/2015

Engineer’s Diploma (Integrated Master), Department of Informatics and Telecommunications Engineering, Polytechnic School, University of Western Macedonia, Kozani, Greece (Grade 7.27/10.0)
Thesis title: “Data mining in Electroencephalographic (EEG) recordings for the development of an automated seizure detection method

Work Experience

Freelancer

4/5/2018 - 21/12/2018

Contract staff in the framework of the research program entitled

Academic Scholar (part time)

19/3/2020 – 31/7/2020

Academic Scholar (part time) – “Operating Systems”, “LAN-MAN Networks”, Department of Informatics and Telecommunication, University of Ioannina

Academic Scholar (full time)

14/10/2020 – Current

Academic Scholar (full time) – “Real-Time Digital Signal Processing Systems” and

Postdoctoral Researcher

12/11/2020 – Current

Postdoctoral Researcher in the framework of the research program entitled: «Intelli-WheelChair: Intelligent electric wheelchair exclusively driven by mental and voice commands» funded by the Ministry of Development and Investment and the Action: « Research- Create – Innovate (2nd Cycle)»

Publications

Disclaimer: The documents distributed from this page have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.



A/A Paper
J1 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.
J2 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, 1437. https://doi.org/10.3390/diagnostics11081437
J3 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).
J4 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.
J5 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. (Q1)
J6 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. (Q2)
J7 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 (Q3)
J8 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 (Q3)
J9 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.
J10 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.


A/A Paper
C1 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
C2 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
C3 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 (CBMS), 2017
C4 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 (CBMS), 2017

Social Media

Modified by Konstantinos Sakkas

Supported by the Department of Informatics and Telecomunication