This work presents an evolutionary ANN classifier system as an heart beat classification algorithm suitable for implementation on the PhysioNet/Computing in Cardiology Challenge 2011, whose aim is to develop an efficient algorithm able to run within a mobile phone, that can provide useful feedback in the process of acquiring a diagnostically useful 12-lead Electrocardiography (ECG) recording. The method used in such a problem is to apply a very powerful natural computing analysis tool, namely evolutionary neural networks, based on the joint evolution of the topology and the connection weights together with a novel similarity-based crossover. The work focuses on discerning between usable and unusable electrocardiograms tele-medically acquired from mobile embedded devices. A prepropcessing algorithm based on the Discrete Fourier Trasform has been applied before the evolutionary approach in order to extract the ECG feature dataset in the frequency domain. Finally, a series of tests has been carried out in order to evaluate the performance and the accuracy of the classifier system for such a challenge.
Electrocardiographic signal classification with evolutionary artificial neural networks / A. Azzini, M. Dragoni, A.G.B. Tettamanzi - In: Applications of evolutionary computation: EvoApplications 2012 : Málaga, Spain, april 11-13, 2012 : proceedings / [a cura di] C. Di Chio ... [et al.]. - Berlin : Springer, 2012. - ISBN 9783642291777. - pp. 295-304 (( convegno EvoApplications tenutosi a Málaga nel 2012.
|Titolo:||Electrocardiographic signal classification with evolutionary artificial neural networks|
AZZINI, ANTONIA (Primo)
TETTAMANZI, ANDREA GIOVANNI BATTISTA (Ultimo)
|Parole Chiave:||Signal processing ; Heartbeat classification ; Evolutionary algorithms ; Neural networks|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||2012|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-642-29178-4_30|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|