- author = "Bruno Marchesi and Alvaro Luiz Stelle and Heitor Silverio Lopes",
- title = "Detection of Epileptic Events using Genetic Programming",
- booktitle = "Proceedings of the 19th Annual International Conference of the IEEE and Engineering in Medicine and Biology Society",
- year = "1997",
- volume = "3",
- pages = "1198--1201",
- address = "Chicago, IL. USA",
- month = oct # " 30 - " # nov # " 2",
- organisation = "IEEE",
- keywords = "genetic algorithms, genetic programming, signal processing, EEG, 3 Hz, Darwinian survival and reproduction, EEG signals, automatic detection, complexes recognition, epileptic events detection, genetic algorithm, ictal period, pattern recognition, spike-and-slow-wave complexes, training features, typical absences, visually classified frames, electroencephalography, evolutionary computation, learning (artificial intelligence), medical expert systems, medical signal processing, pattern classification",
- ISBN = "0-7803-4262-3",
- file = "embs98.pdf",
-
DOI = "
doi:10.1109/IEMBS.1997.756577",
- size = "4 pages",
- abstract = "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 recognising such complexes.",
-
notes = "
",
