the aim of this study is to evaluate how far lempel-ziv complexity (lzc) of the binary symbolic sequences resulting from static or dynamic transformation (partitioning first-order difference) of the short-term electrocardiogram (ecg) signals (only 2 seconds duration) has the  potential in discriminating normal and ventricular tachycardia/ventricular fibrillation (vt/vf) subjects. the statistica...

We introduce a general method for the study of memory in symbolic sequences based on higher-order Markov analysis. The process that best represents sequence is expressed as mixture matrices minimal orders, enabling definition so-called profile, which unambiguously reflects true order correlations. validated by recovering profiles tunable synthetic sequences. Finally, we scan real data and showc...

A new numerical characterization of symbolic sequences is proposed. The partition of sequence based on Ke and Tong algorithm is a starting point. Algorithm decomposes original sequence into set of distinct subsequences a patterns. The set of subsequences common for two symbolic sequences (their intersection) is proposed as a measure of similarity between them. The new similarity measure works w...

Signals that represent information may be classified into two forms: numeric and symbolic. Symbolic signals are discrete-time sequences which have a value at any particular index that is a member of a set of symbols. Set membership defines the only mathematical structure that symbolic sequences satisfy. Consequently, symbolic signals cannot be directly processed with existing signal processing ...