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Detection of cardiac arrhythmia using mathematical representation of standard ΔRR probability density histograms

  • US 7,146,206 B2
  • Filed: 03/06/2003
  • Issued: 12/05/2006
  • Est. Priority Date: 03/20/2002
  • Status: Active Grant
First Claim
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1. A method for detecting cardiac arrhythmia of a patient, comprising:

  • detecting RR intervals of the patient wherein each RR interval is an interval between two heart beats;

    constructing standard probability density histograms of Δ

    RRs collected during cardiac arrhythmia of a plurality of subjects, wherein Δ

    RR is a difference between two successive RR intervals;

    modeling the standard probability density histograms of Δ

    RRs by means of a suitable probability distribution calculated through at least one mathematical formulae;

    constructing test probability density histograms of Δ

    RRs of the patient from the detected RR intervals of said patient; and

    comparing the standard modeled histograms and the test histograms to detect whether the patient suffers from cardiac arrhythmia,wherein comparing the standard modeled histograms and the test histograms to detect whether the patient suffers from cardiac arrhythmia comprises performing a Kolmogorov-Smirnov test, said method further comprising eliminating premature ventricular contractions prior to performing the Kolmogorov-Smirnov test.

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