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METHOD AND APPARATUS FOR DETECTION OF NERVOUS SYSTEM DISORDERS

  • US 20070249953A1
  • Filed: 12/12/2006
  • Published: 10/25/2007
  • Est. Priority Date: 04/21/2006
  • Status: Abandoned Application
First Claim
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1. A method of detecting a neurological event, comprising:

  • acquiring EEG signal data comprising a stream of data values;

    determining a short-term representation of the EEG signal data based on data values acquired over a first sample interval, the short-term representation being determined by applying the data values to a first filter, the first filter adapted to produce an intermediate output value for each block of N data values, and applying a rolling window of M intermediate output values to a second filter, the second filter adapted to produce the short-term representation;

    determining a long-term representation of the EEG signal data based on data values acquired over a second sample interval, the second sample interval being longer than the first sample interval;

    calculating a ratio of the short-term representation to the long-term representation;

    comparing the ratio to an onset threshold; and

    detecting a neurological event when the ratio exceeds the onset threshold.

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