Cited by 109EEG and Brain-Computer InterfacesEpilepsy research and treatmentECG Monitoring and Analysis

A robust methodology for classification of epileptic seizures in EEG signals

Tzimourta, Katerina D., Tzallas, Alexandros T., Giannakeas, Nikolaos, Astrakas, Loukas G., Tsalikakis, Dimitrios G., Angelidis, Pantelis, Tsipouras, Markos G.·2019·Health and Technology

Integrity signals

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Crossref · 10.1007/s12553-018-0265-z

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Authors
Tzimourta, K. D., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Tsalikakis, D. G., Angelidis, P., & Tsipouras, M. G.
Affiliations
  • University of Ioannina (GR)
  • Technological Educational Institute of Epirus (GR)
  • University of Western Macedonia (GR)
Corresponding author
Tzallas, Alexandros T.
Venue
Health and Technology
Published
2018-09-18
Volume
9
Issue
2
Pages
135-142
ISSN
  • 2190-7188 (ISSN-L)
  • 2190-7196
OpenAlex
W2891590090
Cited by
109
References
0
Citations by year
2026: 8 · 2025: 10 · 2024: 12 · 2023: 18 · 2022: 24 · 2021: 17 · 2020: 11 · 2019: 8 · 2018: 1
FWCI
5.51
Type
journal article
Language
en
Open access
closed
Locations
Health and Technology (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
Keywords
seizure detection, EEG signals, discrete wavelet transform, wavelet coefficient features, random forest classification, drug-resistant epilepsy

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