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“School of Nano-Sciences”

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Paper   IPM / Nano-Sciences / 12104
School of Nano Science
  Title:   Inverse statistical approach in heartbeat time series
  Author(s): 
1 . H. Ebadi
2 . A. H. Shirazi
3 . A. R. Mani
4 . Gholam Reza Jafari
  Status:   Published
  Journal: J.Stat. Mech: Theory and Experiments
  No.:  August 2011
  Vol.:  2011
  Year:  2011
  Pages:   10
  Publisher(s):   IOP Publishing Ltd and SISSA
  Supported by:  IPM
  Abstract:
We present an investigation on heart cycle time series, using inverse statistical analysis, a concept borrowed from studying turbulence. Using this approach, we studied the distribution of the exit times needed to achieve a predefined level of heart rate alteration. Such analysis uncovers the most likely waiting time needed to reach a certain change in the rate of heart beat. This analysis showed a significant difference between the raw data and shuffled data,when the heart rate accelerates or decelerates to a rare event. We also report that inverse statistical analysis can distinguish between the electrocardiograms taken from healthy volunteers and patients with heart failure.

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