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Intelligent system for noninvasive blood analyte prediction

  • US 6,280,381 B1
  • Filed: 07/22/1999
  • Issued: 08/28/2001
  • Est. Priority Date: 07/22/1999
  • Status: Expired due to Term
First Claim
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1. A method for compensating for covariation of spectrally interfering species, sample heterogeneity, state variations, and structural variations, comprising the steps of:

  • providing an intelligent pattern recognition system that is capable of determining calibration models that are most appropriate for a subject at the time of measurement;

    developing said calibration models from the spectral absorbance of a representative population of subjects that have been segregated into classes;

    defining said classes on the basis of structural and state similarity, wherein variation within a class is small compared to variation between classes;

    classifying said subject, wherein classification occurs through extracted features of a tissue absorbance spectrum related to current subject state and structure; and

    applying a combination of one or more of said calibration models.

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