V Congreso Latinoamericano de Ingeniería Biomédica (CLAIB2011)

Electrocardiographic waveforms generator with multiples morphologies
Suárez León Alexander Alexeis, Vázquez Seisdedos Carlos Román, Evangelista Neto Joao, Romero Paz Manuel, Limao Oliveira Roberto Celio

##manager.scheduler.building##: Palacio de Convenciones de La Habana
##manager.scheduler.room##: Sala 12
Fecha: 2011-05-19 12:00  – 01:30
Última modificación: 2011-04-14 11:39

Resumen


In this paper is presented, a computational tool, to generate (in a controlled way) multiple morphologies of quasi-artificial electrocardiogram (ECG) beats, starting from the configuration and concatenation of six (6) default segments of an ECG beat. The tool allows: to add noises and line base drifts, to convolve the signal with up to three mathematical functions, and to introduce artefacts in any time position of a beat. The tool could be used for the training and evaluation of ECG patterns classifiers such as neural networks (NN), support vector machines (SVM) and others based on Artificial Intelligence techniques.