Recently, swarm intelligence algorithms have received much attention because of their flexibility for solving complex problems in the real world. a new algorithm called colony predation (CPA) has been proposed, taking inspiration from predatory habits groups nature. However, CPA suffers poor exploratory ability and cannot always escape solutions known as local optima. Therefore, to improve glob...

Abstract Significant advances in deep learning techniques have made it possible to offer technologically advanced methods detect cardiac abnormalities. In this study, we proposed a new based Restricted Boltzmann machine (RBM) model for the classification of arrhythmias from Electrocardiogram (ECG) signal. The work is divided into three phases where, first phase, signal processing performed, inc...

Empirical mode decomposition (EMD) is an adaptive method for nonlinear, non-stationary signal analysis. However, the upper and lower envelopes fitted by cubic spline interpolation (CSI) may often occur overshoots. In this paper, a new envelope fitting method based on the flattest constrained interpolation is proposed. The proposed method effectively integrates the difference between extremes in...

conclusions supervised in-hospital exercise training was associated with improvements in saecg-measured electrical activity post-mi. results cardiac rehabilitation led to significant improvements in qrs duration (p < 0.001), square root of amplitude in the last 40 ms (p < 0.001) and duration of terminal signal with low amplitude (p < 0.001). cardiac rehabilitation also resulted in amelioration ...