Detection of epileptic events using genetic programming

Detection of epileptic events using genetic programming

This paper presents a method using genetic programming for automatic detection of 3 Hz spike-and-slow-wave complexes, that are a characteristic of typical absences, in electroencephalogram (EEG) signals. Training features are extracted from 1s EEG frames, randomly chosen from pre-recorded files. The...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Marchesi, B., Stelle, A.L., Lopes, H.S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automatic programming
Data mining
Diseases
Electroencephalography
Epilepsy
Event detection
Feature extraction
Genetic algorithms
Genetic programming
Signal processing
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a method using genetic programming for automatic detection of 3 Hz spike-and-slow-wave complexes, that are a characteristic of typical absences, in electroencephalogram (EEG) signals. Training features are extracted from 1s EEG frames, randomly chosen from pre-recorded files. The frames are visually classified as spike-and-slow-wave complexes (SASWC) or non-spike-and-slow-wave complexes (NSASWC). Genetic programming techniques are then applied to these data to build a program capable of recognizing such complexes.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.1997.756577