Abstract:
The paper considers the methodology of quasiperiodic time series structure analysis for solving diagnostic problems, that has been developed on the basis of the expert-ranging data analysis methods. The methodology has been implemented and applied practically on the base of using radial artery pulse signal analysis for complex medical diagnostic problem solving. The results of investigation, presented in the paper, proved the fundamental possibility of complex disease diagnostics based on quasiperiodic bioelectric signal (pulsograms) analysis.
Keywords:expert-ranging methods, quasiperiodic signals, radial artery pulse signal (pulsogram), pulsogram form typology, pulsogram spectral density typology, medical diagnostics.