Epileptic high-frequency oscillations: detection and classification

High-frequency oscillations (HFOs) in intracranial electroencephalograms of patients with epilepsy are regarded as promising biomarkers of epileptogenic zones. Their detection and classification can be achieved by visual assessment or automated approaches, although manual processing of large recordi...

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Veröffentlicht in:	Multidimensional systems and signal processing 2020-07, Vol.31 (3), p.965-988
Hauptverfasser:	Wu, Shun-Chi, Chou, Chen-Wei, Chen, Chien, Kwan, Shang-Yeong, Su, Yung-Chih
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Automation Biomarkers Circuits and Systems Classification Computer simulation Electrical Engineering Electroencephalography Engineering Epilepsy Noise levels Oscillations Probabilistic models Signal,Image and Speech Processing Spikes
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