Detection of Epileptic Events using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{marchesi:1997:deeGP,
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author = "Bruno Marchesi and Alvaro Luiz Stelle and
Heitor Silverio Lopes",
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title = "Detection of Epileptic Events using Genetic
Programming",
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booktitle = "Proceedings of the 19th Annual International
Conference of the IEEE and Engineering in Medicine and
Biology Society",
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year = "1997",
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volume = "3",
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pages = "1198--1201",
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address = "Chicago, IL. USA",
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month = oct # " 30 - " # nov # " 2",
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organisation = "IEEE",
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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",
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ISBN = "0-7803-4262-3",
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file = "embs98.pdf",
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DOI = "doi:10.1109/IEMBS.1997.756577",
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size = "4 pages",
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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.",
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notes = "
",
- }
Genetic Programming entries for
Bruno Marchesi
Alvaro Luiz Stelle
Heitor Silverio Lopes
Citations