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Rotors are rotating electrical waves that may sustain atrial fibrillation (AF); thereby providing therapeutic targets for catheter ablation. We propose a method for identifying rotors from circular catheter recordings of bipolar intracardiac electrograms (EGM) during AF. We use dominant frequency-based periodicity detection along with a graph search algorithm to identify the most dominant periodic...
In this paper, improved differential evolution (IDE) algorithm with variable 'del' parameter is presented. Recently developed IDE algorithm is used for global optimization of non-linear complex problems. The 'del' parameter is a predetermined level of tolerance for predefined allowable number of iterations which triggers the different mutation schemes in restart mechanism phase of IDE algorithm. The...
A novel method for automatic detection of peaks corresponding to the periodic activations in complex periodic signals is proposed. The approach involves dominant frequency-based periodicity detection combined with a graph search algorithm to identify periodic activations or peaks of interest. The performance of the proposed method is demonstrated in human atrial fibrillation electrograms with simulated...
In this paper, artificial neural network (ANN) based approach is used to quickly estimate the margin to voltage collapse. A new index “Post Contingency Loading Margin” (PCLM) has been proposed to estimate the loadability margin of the system leading to evaluation of critical contingencies and identification of weak buses under any operating condition. The proposed method has been applied and tested...
This paper describe a general scheme to design all the uni-polar codes characterized by parameter (n, w). The binary sequence of length `n' (`n' bits) and weight `w' (number of bit `1's in the sequence) with its n-1 circular shifted versions represent the same code. These codes can be further put in different subsets characterized by (n, w, λa, λc), where λa and λc are auto-correlation and cross-correlation...
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