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Inte rn a ti o na l Jo urnal of S w a r m In tellig enc e an d E v ol utionary C om p ut at ion Abstract The study of Heart rate variability is recently gained momentum for an estimation of heart health. This paper suggests a new approach for enhancement of the prediction accuracy of Multi-Layer Perceptrons (MLP) neural network using improved Particle Swarm Optimization (IPSO) technique. The IPSO computes the weights and biases of MLP for the more accurate prediction of the cardiac arrhythmiadoi:10.4172/2090-4908.1000156 fatcat:mpt46fqek5cxvadlybxewioz4u