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Signal Analysis Method

  • US 20080140403A1
  • Filed: 05/06/2005
  • Published: 06/12/2008
  • Est. Priority Date: 05/07/2004
  • Status: Active Grant
First Claim
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1. A computer-implemented method for bio-medical signal segmentation using a hidden Markov model, the model comprising a plurality of states, the method comprising the steps of:

  • specifying a minimum duration constraint dmin for at least one of the states;

    for each state in the model with a specified minimum duration, replacing the state by a set of sub-states, with the total number of sub-states equal to the value of the minimum duration constraint dmin;

    connecting together the set of sub-states to form a left-right Markov chain, wherein the first dmin

    1 sub-states each have a self-transition probability of zero, a transition probability of one of transitioning to the state immediately to their right, and a transition probability of zero of transitioning to any other state in the model; and

    applying the model to data representing the biomedical signal to obtain information on the segmentation of the signal into the states.

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