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Summary The real-time transmission of the electrocardiogram (ECG) in urgent situations can improve the chances of the patient. However, one of the greatest problems involving this kind of telemedicine application is the leakage of network bandwidth. ECG exams may generate too much data, which makes difficult to apply telecardiology systems in real life. This problem motivated many authors to look...
This paper presents the use of particle swarm optimization (PSO), Wavelets and neural networks for automatic detection of cardiac arrhythmias based on analysis of the electrocardiogram (ECG). The ECG signal is evaluated in time-frequency domain using wavelets. Wavelet coefficients are presented as the input of a multilayer perceptron (MLP) artificial neural network (ANN) with three layers, which is...
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