Novel characterization method of impedance cardiography signals using time-frequency distributions.

ABSTRACT: The purpose of this document is to describe a methodology to select the most adequate time-frequency distribution (TFD) kernel for the characterization of impedance cardiography signals (ICG). The predominant ICG beat was extracted from a patient and was synthetized using time-frequency variant Fourier approximations. These synthetized signals were used to optimize several TFD kernels according to a performance maximization. The optimized kernels were tested for noise resistance on a clinical database. The resulting optimized TFD kernels are presented with their performance calculated using newly proposed methods. The procedure explained in this work showcases a new method to select an appropriate kernel for ICG signals and compares the performance of different time-frequency kernels found

SUBMITTER: Escriva Munoz J 

PROVIDER: S-EPMC6153686 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature