- author = "Hiram Firpi and Erik Goodman and Javier Echauz",
- title = "Epileptic seizure detection by means of genetically programmed artificial features",
- booktitle = "{GECCO 2005}: Proceedings of the 2005 conference on Genetic and evolutionary computation",
- year = "2005",
- editor = "Hans-Georg Beyer and Una-May O'Reilly and Dirk V. Arnold and Wolfgang Banzhaf and Christian Blum and Eric W. Bonabeau and Erick Cantu-Paz and Dipankar Dasgupta and Kalyanmoy Deb and James A. Foster and Edwin D. {de Jong} and Hod Lipson and Xavier Llora and Spiros Mancoridis and Martin Pelikan and Guenther R. Raidl and Terence Soule and Andy M. Tyrrell and Jean-Paul Watson and Eckart Zitzler",
- volume = "1",
- ISBN = "1-59593-010-8",
- pages = "461--466",
- address = "Washington DC, USA",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2005/docs/p461.pdf",
-
DOI = "
doi:10.1145/1068009.1068082",
- publisher = "ACM Press",
- publisher_address = "New York, NY, 10286-1405, USA",
- month = "25-29 " # jun,
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming, Biological Applications, design, epilepsy, feature extraction, seizure detection, state-space reconstruction",
- size = "6 pages",
- abstract = "we describe a general-purpose, systematic algorithm, consisting of a genetic programming module and a knearest neighbour classifier to automatically create artificial features?features that are computer-crafted and may not have a known physical meaning?directly from the reconstructed statespace trajectories of the EEG signals that reveal patterns indicative of epileptic seizure onset. The algorithm was evaluated in three patients and validation experiments were carried out using 267.6 hours of EEG recordings. The results with the artificial features compare favourably with previous benchmark work that used a handcrafted feature.",
-
notes = "GECCO-2005 A joint meeting of the fourteenth
international conference on genetic algorithms
(ICGA-2005) and the tenth annual genetic programming
conference (GP-2005).
ACM Order Number 910052",
