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Computer Science

D-Index
37
Citations
6231
World Ranking
10707
National Ranking
81

Overview

Markos G. Tsipouras is affiliated with the University of Western Macedonia in Greece. Their research spans several interdisciplinary areas, combining insights from neuroscience, medicine, and computer science.

The main fields of study for Markos G. Tsipouras include:

  • Neuroscience
  • Medicine
  • Computer Science

More specialized subfields within their research are:

  • Cognitive Neuroscience
  • Cardiology and Cardiovascular Medicine
  • Biomedical Engineering
  • Artificial Intelligence
  • Human-Computer Interaction

The key topics addressed in their work reflect a focus on brain and health-related signal analysis:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • ECG Monitoring and Analysis
  • Blind Source Separation Techniques
  • Gaze Tracking and Assistive Technology
  • Liver Disease Diagnosis and Treatment
  • Neuroscience and Neural Engineering

Markos G. Tsipouras has contributed to several peer-reviewed publication venues. Frequent venues of publication include:

  • Sensors
  • Information
  • Applied Sciences
  • IEEE Access
  • Data

Their recent publications illustrate areas of applied neurotechnology and data analysis focused on neurological diseases and signal classification. Notable papers are:

  • A Dataset of Scalp EEG Recordings of Alzheimer's Disease, Frontotemporal Dementia and Healthy Subjects from Routine EEG (2023, Data)
  • Alzheimer's Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods (2021, Diagnostics)
  • Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review (2021, International Journal of Neural Systems)
  • EEG-Based Eye Movement Recognition Using Brain-Computer Interface and Random Forests (2021, Sensors)
  • Continuous Non-Invasive Glucose Monitoring via Contact Lenses: Current Approaches and Future Perspectives (2021, Biosensors)

Several frequent co-authors have collaborated with Markos G. Tsipouras on multiple publications, including:

  • Alexandros T. Tzallas
  • Νικόλαος Γιαννακέας
  • Katerina D. Tzimourta
  • Euripidis Glavas
  • Konstantinos Kalafatakis

Best Publications

  • Epileptic Seizure Detection in EEGs Using Time–Frequency Analysis

    A.T. Tzallas;M.G. Tsipouras;D.I. Fotiadis

  • Automatic seizure detection based on time-frequency analysis and artificial neural networks

    A. T. Tzallas;M. G. Tsipouras;D. I. Fotiadis

  • An arrhythmia classification system based on the RR-interval signal

    M. G. Tsipouras;D. I. Fotiadis;D. Sideris

  • Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors

    G. Rigas;A. T. Tzallas;M. G. Tsipouras;P. Bougia

  • Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling

    M.G. Tsipouras;T.P. Exarchos;D.I. Fotiadis;A.P. Kotsia

  • Automated Epileptic Seizure Detection Methods: A Review Study

    Alexandros T. Tzallas;Markos G. Tsipouras;Dimitrios G. Tsalikakis;Evaggelos C. Karvounis

  • Automatic detection of freezing of gait events in patients with Parkinson's disease

    Evanthia E. Tripoliti;Alexandros T. Tzallas;Markos G. Tsipouras;George Rigas

  • PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease

    Alexandros T. Tzallas;Markos G. Tsipouras;Georgios Rigas;Dimitrios G. Tsalikakis

  • A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree

    Themis P. Exarchos;Markos G. Tsipouras;Costas P. Exarchos;Costas Papaloukas

  • Automatic arrhythmia detection based on time and time-frequency analysis of heart rate variability.

    Markos G. Tsipouras;Dimitrios I. Fotiadis

  • Alzheimer's Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods.

    Andreas Miltiadous;Katerina D Tzimourta;Nikolaos Giannakeas;Markos G Tsipouras

  • High-Throughput, Machine Learning-Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease.

    Roberta Forlano;Benjamin H. Mullish;Nikolaos Giannakeas;James B. Maurice

  • Wearability assessment of a wearable system for Parkinson's disease remote monitoring based on a body area network of sensors.

    Jorge Cancela;Matteo Pastorino;Alexandros T. Tzallas;Markos G. Tsipouras

  • An Automated Methodology for Fetal Heart Rate Extraction From the Abdominal Electrocardiogram

    E.C. Karvounis;M.G. Tsipouras;D.I. Fotiadis;K.K. Naka

  • An automated methodology for levodopa-induced dyskinesia

    Markos G. Tsipouras;Alexandros T. Tzallas;George Rigas;Sofia Tsouli

  • A Framework for Fuzzy Expert System Creation—Application to Cardiovascular Diseases

    M.G. Tsipouras;C. Voglis;D.I. Fotiadis

  • Arrhythmia classification using the RR-interval duration signal

    M.G. Tsipouras;D.I. Fotiadis;D. Sideris

  • Spectral information of EEG signals with respect to epilepsy classification

    Markos G. Tsipouras;Markos G. Tsipouras

  • A robust methodology for classification of epileptic seizures in EEG signals

    Katerina D. Tzimourta;Alexandros T. Tzallas;Nikolaos Giannakeas;Loukas G. Astrakas

  • The Use of Time-Frequency Distributions for Epileptic Seizure Detection in EEG Recordings

    A.T. Tzallas;M.G. Tsipouras;D.I. Fotiadis

  • Machine Learning Algorithms and Statistical Approaches for Alzheimer's Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review.

    Katerina D. Tzimourta;Katerina D. Tzimourta;Vasileios Christou;Alexandros T. Tzallas;Nikolaos Giannakeas

Frequent Co-Authors

Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Dimitrios Tzovaras
Dimitrios Tzovaras Centre for Research and Technology Hellas

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