Markos G. Tsipouras
Markos G. Tsipouras
Associate Professor, Dept. of Electrical & Computer Engineering, Univ. of Western Macedonia
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Epileptic seizure detection in EEGs using time–frequency analysis
AT Tzallas, MG Tsipouras, DI Fotiadis
IEEE transactions on information technology in biomedicine 13 (5), 703-710, 2009
Automatic seizure detection based on time-frequency analysis and artificial neural networks
AT Tzallas, MG Tsipouras, DI Fotiadis
Computational intelligence and neuroscience 2007, 2007
An arrhythmia classification system based on the RR-interval signal
MG Tsipouras, DI Fotiadis, D Sideris
Artificial intelligence in medicine 33 (3), 237-250, 2005
Assessment of tremor activity in the Parkinson’s disease using a set of wearable sensors
G Rigas, AT Tzallas, MG Tsipouras, P Bougia, EE Tripoliti, D Baga, ...
IEEE Transactions on Information Technology in Biomedicine 16 (3), 478-487, 2012
Automated epileptic seizure detection methods: a review study
AT Tzallas, MG Tsipouras, DG Tsalikakis, EC Karvounis, L Astrakas, ...
Epilepsy-histological, electroencephalographic and psychological aspects, 75-98, 2012
Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling
MG Tsipouras, TP Exarchos, DI Fotiadis, AP Kotsia, KV Vakalis, KK Naka, ...
IEEE Transactions on information technology in biomedicine 12 (4), 447-458, 2008
Automatic detection of freezing of gait events in patients with Parkinson's disease
EE Tripoliti, AT Tzallas, MG Tsipouras, G Rigas, P Bougia, M Leontiou, ...
Computer methods and programs in biomedicine 110 (1), 12-26, 2013
PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease
AT Tzallas, MG Tsipouras, G Rigas, DG Tsalikakis, EC Karvounis, ...
Sensors 14 (11), 21329-21357, 2014
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
TP Exarchos, MG Tsipouras, CP Exarchos, C Papaloukas, DI Fotiadis, ...
Artificial Intelligence in medicine 40 (3), 187-200, 2007
Automatic arrhythmia detection based on time and time–frequency analysis of heart rate variability
MG Tsipouras, DI Fotiadis
Computer methods and programs in biomedicine 74 (2), 95-108, 2004
Spectral information of EEG signals with respect to epilepsy classification
MG Tsipouras
EURASIP Journal on Advances in Signal Processing 2019 (1), 1-17, 2019
An automated methodology for fetal heart rate extraction from the abdominal electrocardiogram
EC Karvounis, MG Tsipouras, DI Fotiadis, KK Naka
IEEE Transactions on Information technology in Biomedicine 11 (6), 628-638, 2007
Wearability assessment of a wearable system for Parkinson's disease remote monitoring based on a body area network of sensors
J Cancela, M Pastorino, AT Tzallas, MG Tsipouras, G Rigas, ...
Sensors 14 (9), 17235-17255, 2014
An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals
MG Tsipouras, AT Tzallas, G Rigas, S Tsouli, DI Fotiadis, S Konitsiotis
Artificial intelligence in medicine 55 (2), 127-135, 2012
A framework for fuzzy expert system creation—application to cardiovascular diseases
MG Tsipouras, C Voglis, DI Fotiadis
IEEE Transactions on Biomedical Engineering 54 (11), 2089-2105, 2007
High-throughput, machine learning–based quantification of steatosis, inflammation, ballooning, and fibrosis in biopsies from patients with nonalcoholic fatty liver disease
R Forlano, BH Mullish, N Giannakeas, JB Maurice, N Angkathunyakul, ...
Clinical Gastroenterology and Hepatology 18 (9), 2081-2090. e9, 2020
Arrhythmia classification using the RR-interval duration signal
MG Tsipouras, DI Fotiadis, D Sideris
Computers in cardiology, 485-488, 2002
A robust methodology for classification of epileptic seizures in EEG signals
KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ...
Health and Technology 9, 135-142, 2019
The use of time-frequency distributions for epileptic seizure detection in EEG recordings
AT Tzallas, MG Tsipouras, DI Fotiadis
2007 29th Annual International Conference of the IEEE Engineering in…, 2007
Alzheimer’s disease and frontotemporal dementia: A robust classification method of EEG signals and a comparison of validation methods
A Miltiadous, KD Tzimourta, N Giannakeas, MG Tsipouras, T Afrantou, ...
Diagnostics 11 (8), 1437, 2021
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