Classification of Arrhythmia Types Using Cartesian Genetic Programming Evolved Artificial Neural Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{conf/eann/AhmadKM13,
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author = "Arbab Masood Ahmad and Gul Muhammad Khan and
Sahibzada Ali Mahmud",
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title = "Classification of Arrhythmia Types Using Cartesian
Genetic Programming Evolved Artificial Neural
Networks",
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editor = "Lazaros S. Iliadis and Harris Papadopoulos and
Chrisina Jayne",
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booktitle = "Proceedings of 14th International Conference on
Engineering Applications of Neural Networks (EANN
2013), Part {I}",
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year = "2013",
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volume = "383",
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series = "Communications in Computer and Information Science",
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pages = "282--291",
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address = "Halkidiki, Greece",
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month = sep # " 13-16",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, CGPANN, artificial neural network,
neuro-evolution, CVD, cardiac arrhythmias,
classification, fiducial points, LBBB beats, RBBB
beats",
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isbn13 = "978-3-642-41012-3",
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bibdate = "2014-01-25",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/eann/eann2013-1.html#AhmadKM13",
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URL = "http://dx.doi.org/10.1007/978-3-642-41013-0",
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DOI = "doi:10.1007/978-3-642-41013-0_29",
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abstract = "Cartesian Genetic programming Evolved Artificial
Neural Network (CGPANN) is explored for classification
of different types of arrhythmia and presented in this
paper. Electrocardiography (ECG) signal is preprocessed
to acquire important parameters and then presented to
the classifier. The parameters are calculated from the
location and amplitudes of ECG fiducial points,
determined with a new algorithm inspired by
Pan-Tompkins's algorithm [14]. The classification
results are satisfactory and better than contemporary
methods introduced in the field.",
- }
Genetic Programming entries for
Arbab Masood Ahmad
Gul Muhammad Khan
Sahibzada Ali Mahmud
Citations