Assessing complexity in physiological systems through biomedical signals analysis

HIGHLIGHTS

  • who: Paolo Castiglioni and colleagues from the IRCCS Fondazione Don Carlo Gnocchi, Milan, Italy Department of Information Engineering and Research Center "EPiaggio", University of Pisa, Pisa have published the research work: Assessing Complexity in Physiological Systems through Biomedical Signals Analysis, in the Journal: Entropy 2020, 22, 1005 of /2020/
  • what: The more recent trends in the analysis of biomedical signals are aimed at designing tools for extracting information on the system complexity from the derived time series, like continuous electroencephalogram and electromyogram recordings, beat-by-beat values of cardiovascular variables, or breath-by-breath measures . . .

     

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