Name
Title | ||
|---|---|---|
Electrocardiographic signal classification with evolutionary artificial neural networks |
Abstract | ||
|---|---|---|
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 [14], 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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-29178-4_30 | EvoApplications |
Keywords | Field | DocType |
ecg feature dataset,prepropcessing algorithm,diagnostically useful 12-lead electrocardiography,mobile phone,evolutionary ann classifier system,classification algorithm,electrocardiographic signal classification,classifier system,evolutionary artificial neural network,mobile embedded device,evolutionary approach,evolutionary neural network | Frequency domain,Signal processing,Natural computing,Crossover,Evolutionary algorithm,Computer science,Artificial intelligence,Discrete Fourier transform,Classifier (linguistics),Artificial neural network,Machine learning | Conference |
Citations | PageRank | References |
2 | 0.45 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonia Azzini | 1 | 119 | 20.38 |
| Mauro Dragoni | 2 | 250 | 46.95 |
| Andrea Tettamanzi | 3 | 667 | 84.56 |