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Machine-based patient-specific seizure classification system

  • US 9,848,793 B2
  • Filed: 02/18/2014
  • Issued: 12/26/2017
  • Est. Priority Date: 02/15/2013
  • Status: Active Grant
First Claim
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1. A device, comprising:

  • an analog front-end (AFE) to generate at least one analog signal representative of electroencephalography (EEG) information;

    a digital back end (DBE) including a feature extraction (FE) engine and a non-linear support vector machine (NL-SVM) classification engine comprising circuitry configured to perform an antilog function on a summation of a first input and a log conversion of a second input to determine onset of a seizure based on at least one digital signal corresponding to the at least one analog signal; and

    an analog-to-digital converter (A/D) stage to convert the at least one analog signal provided by the AFE to the at least one digital signal for use by the DBE.

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