Automatic Cardiac Therapy Advisor With Hidden Markov Model Processing

摘要

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.

主权项

1. A method of automatically determining which of a plurality of possible cardiac interventions should be performed in treatment of a patient, the method comprising:
storing prior information representative of prior cardiac interventions performed on the patient; storing prior information representative of the patient's reactions to the prior cardiac interventions; and processing the information using a hidden Markov model to determine which of a plurality of possible further cardiac interventions should be performed.