Caracterización de series RR de pruebas de esfuerzo: Pre-condicionamiento isquémico
Keywords:
RR time series, stress test, ECG, NN, multilayer perceptronAbstract
A stress test is a cardiovascular stimulation test performed on a treadmill or bicycle monitoring the electrocardiogram. In this paper we evaluate a characterization scheme of the heart rate time series (RR time series) on an ECG database of Ischemic Preconditioning (IP). Four categories were defined: Very Good, Good, Low Quality and Useless. The methodology consists in dividing the RR series into windows and using the standard deviation of each window as the inputs of a multi-layer perceptron-type neural network. The results give a coincidence index (IC) of 63.87% with respect to manual annotations of the signals. These findings validate the characterization scheme of RR time series of effort based on the architecture of the neural network and stimulate its use for the characterization of others ECG stress test databases.
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