Uncertainty in multiscale possibilistic nonlinear dynamical analysis of biosignals

A multiscale possibilistic nonlinear dynamical analysis method and its measure of uncertainty are presented in this paper. The proposed approach can be utilised for understanding complex mechanisms underlying the healthy and control of biomedical or physiological systems. As a focus on an example model system, the proposed method is applied to studying major adverse cardiac events using mass spectrometry signals.