Real event detection and the treatment of congestive heart failure: an efficient technique to help cardiologists to make crucial decisions Metadata

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Title

  • Main Title Real event detection and the treatment of congestive heart failure: an efficient technique to help cardiologists to make crucial decisions

Creator

  • Author: Allegrini, Paolo
    Creator Type: Personal
    Creator Info: Istituto di Linguistica Computazionale del Consiglio Nazionale delle Ricerche
  • Author: Balocchi, Rita
    Creator Type: Personal
    Creator Info: Istituto di Fisiologia Clinica del Consiglio Nazionale delle Ricerche
  • Author: Chillemi, Santi
    Creator Type: Personal
    Creator Info: Istituto di Biofisica del Consiglio Nazionale delle Ricerche
  • Author: Grigolini, Paolo
    Creator Type: Personal
    Creator Info: University of North Texas; Università di Pisa; Istituto di Biofisica del Consiglio Nazionale delle Ricerche
  • Author: Hamilton, P.
    Creator Type: Personal
    Creator Info: Texas Woman's University
  • Author: Maestri, Roberto
    Creator Type: Personal
    Creator Info: Istituto Scientifico di Montescano
  • Author: Palatella, Luigi
    Creator Type: Personal
    Creator Info: Università di Pisa
  • Author: Raffaelli, G.
    Creator Type: Personal
    Creator Info: International School for Advanced Studies and INFM Unit

Date

  • Creation: 2002-09

Language

  • English

Description

  • Physical Description: 14 p.: ill.
  • Content Description: Paper discussing the treatment of congestive heart failure. Abstract: Using a method of entropic analysis of time series we establish the correlation between heartbeat long-range memory and mortality risk in patients with congestive heart failure.

Subject

  • Keyword: cardiology
  • Keyword: congestive heart failure
  • Keyword: entropic analysis

Source

  • Website: arXiv: cond-mat/0209038

Collection

  • Name: UNT Scholarly Works
    Code: UNTSW

Institution

  • Name: UNT College of Arts and Sciences
    Code: UNTCAS

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc174688

Degree

  • Academic Department: Physics
  • Academic Department: Center for Nonlinear Science

Note

  • Display Note: This is the pre-print version of the paper.