Automatic cardiac therapy advisor with hidden markov model processing
AssigneeZOLL Medical Corporation
InventorsGary A. Freeman, James E. Brewer
Life of this patent
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Abstract
A method of automatically determining which type of treatment is most appropriate for (or the physiological state of) a patient. The method comprises transforming one or more time domain 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 a spectral band representing the frequency content of the measurements within a frequency band; forming a weighted sum of the content of the spectral bands, with different weighting coefficients applied to at least some of the spectral bands; determining the type of treatment (or physiological state) based on the weighted sum.
Claims8
A method of automatically determining which of a plurality of possible types of cardiac interventions should be performed in treatment of a patient, the method comprising:
- storing first prior information representative of types of prior cardiac interventions performed on the patient;
- storing second prior information representative of the patient's reactions to the prior cardiac interventions;
- wherein the first and second prior information are other than heart rhythms or ECG waveforms;
- and
- processing the first and second prior information using a hidden Markov model to determine which of a plurality of possible further cardiac interventions should be performed.
Apparatus for automatically determining which of a plurality of possible types of cardiac interventions should be performed in treatment of a patient, the apparatus comprising:
- a processor and associated memory for storing first prior information representative of types of prior cardiac interventions performed on the patient;
- memory for storing second prior information representative of the patient's reactions to the prior cardiac interventions;
- wherein the first and second prior information are other than heart rhythms or ECG waveforms;
- and
- wherein the processor is configured to process the first and second prior information using a hidden Markov model to determine which of a plurality of possible further cardiac interventions should be performed.
Dependencies are inferred from the claim text.