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Automatic therapy advisor

  • US 8,165,671 B2
  • Filed: 05/24/2005
  • Issued: 04/24/2012
  • Est. Priority Date: 05/12/2004
  • Status: Active Grant
First Claim
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1. A method of automatically determining which type of cardiac resuscitation treatment is most appropriate for a patient, the method comprising:

  • transforming one or more time domain ECG signal measurements from the patient into frequency domain data representative of the frequency content of the time domain measurements;

    processing the frequency domain data to form a plurality of spectral bands, the content of each of the spectral bands representing the frequency content of the measurements within a different frequency band;

    forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the different spectral bands, wherein the magnitudes of the weighting coefficients are not linearly proportional to the frequency of the spectral band to which they are applied;

    determining the type of cardiac resuscitation treatment based on the weighted sum.

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