Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming
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gp-bibliography.bib Revision:1.8081
- @Article{Bhardwaj:2019:ES,
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author = "Harshit Bhardwaj and Aditi Sakalle and
Arpit Bhardwaj and Aruna Tiwari",
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title = "Classification of electroencephalogram signal for the
detection of epilepsy using Innovative Genetic
Programming",
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journal = "Expert Systems",
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year = "2019",
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volume = "36",
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number = "1",
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pages = "e12338",
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month = feb,
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keywords = "genetic algorithms, genetic programming",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/es/es36.html#BhardwajSBT19",
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DOI = "doi:10.1111/exsy.12338",
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abstract = "Epilepsy, sometimes called seizure disorder, is a
neurological condition that justifies itself as a
susceptibility to seizures. A seizure is a sudden burst
of rhythmic discharges of electrical activity in the
brain that causes an alteration in behaviour,
sensation, or consciousness. It is essential to have a
method for automatic detection of seizures, as these
seizures are arbitrary and unpredictable. A profound
study of the electroencephalogram (EEG) recordings is
required for the accurate detection of these epileptic
seizures. In this study, an Innovative Genetic
Programming framework is proposed for classification of
EEG signals into seizure and non-seizure. An empirical
mode decomposition technique is used for the feature
extraction followed by genetic programming for the
classification. Moreover, a method for intron deletion,
hybrid crossover, and mutation operation is proposed,
which are responsible for the increase in
classification accuracy and a decrease in time
complexity. This suggests that the Innovative Genetic
Programming classifier has a potential for accurately
predicting the seizures in an EEG signal and hints on
the possibility of building a real-time seizure
detection system.",
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notes = "journals/es/BhardwajSBT19,",
- }
Genetic Programming entries for
Harshit Bhardwaj
Aditi Sakalle
Arpit Bhardwaj
Aruna Tiwari
Citations