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Two statistical methods for resolving healthy individuals and those with congestive heart failure based on extended self-similarity and a recursive method

Atyabi, F ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1007/s10867-006-9031-y
  3. Publisher: 2006
  4. Abstract:
  5. In this paper we introduce two methods for measuring irregularities in human heartbeat time series (HHTS). First we consider the multi-fractal structure of HHTS to distinguish healthy individuals and from those with congestive heart failure. In this way we modify the Extended Self-Similarity (ESS) method and apply it to HHTS. Our second approach is based on the recursive method, which we use to predict the duration of the next heartbeat by considering a few previous ones. We use standard physiological data and show that these approaches lead to very satisfactory methods to resolve the healthy and CHF individuals. These methods can be used potentially in portable electronic heart alarm systems. © 2007 Springer Science+Business Media, Inc
  6. Keywords:
  7. Analytical parameters ; Congestive heart failure ; Controlled study ; Electronics ; Heart beat ; Heart function ; Heart rate variability ; Human ; Priority journal ; Statistical analysis
  8. Source: Journal of Biological Physics ; Volume 32, Issue 6 , 2006 , Pages 489-495 ; 00920606 (ISSN)
  9. URL: https://link.springer.com/article/10.1007%2Fs10867-006-9031-y