Automatic cardiac therapy advisor with hidden markov model processing
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United States of America Patent
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Dec 1, 2020
Grant Date -
Mar 15, 2018
app pub date -
Nov 20, 2017
filing date -
May 12, 2004
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Abstract
Apparatus for automatically determining which type of resuscitation treatment is most appropriate for a patient. The apparatus comprising at least one processor, circuitry for delivering time-domain signal measurements to the processor(s), which transforms the time-domain signal measurements into frequency domain data representative of a frequency content of the time-domain signal measurements, processes the frequency domain data to form a plurality of spectral bands, a content of each of the plurality of spectral bands representing the frequency content of the time-domain signal measurements within a different frequency band, form a weighted sum of the content of the plurality of spectral bands, with different weighting coefficients applied to the plurality of spectral bands, wherein magnitudes of the weighting coefficients are non-linearly proportional to frequencies of the plurality of spectral bands to which the weighting coefficients are applied, and determines the type of resuscitation treatment based on the weighted sum.
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