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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...
Real-time monitoring of vital physiological signals is of significant clinical relevance. Disruptions in the signals are frequently encountered and make it difficult for precise diagnosis. Thus, the ability to accurately predict/recover the lost signals could greatly impact medical research and application. In response to the PhysioNet/CinC Challenge 2010: Mind the Gap, we develop an algorithm based...
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