Unified Integration of Explicit Knowledge and Learning by Example in Recurrent Networks
IEEE Transactions on Knowledge and Data Engineering
Detection of fetal ECG with IIR adaptive filtering and genetic algorithms
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
ECG Arrhythmia Classification with Support Vector Machines and Genetic Algorithm
EMS '09 Proceedings of the 2009 Third UKSim European Symposium on Computer Modeling and Simulation
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We present a computational framework to aid in cardiovascular disease diagnosis. Our method defines a set of standard behaviours obtained by the recursive calculation of a parameterized formula, and these behaviours are used to match the electrocardiogram (ECG) recording. The advantage of this proposal is the capability to extract from the huge set of numerical values of the ECGs a characteristic reduced pattern with behavioural meaning which allows more accurate and easy matching with unknown ECGs in order to diagnose the patients.