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Neural network for glucose therapy recommendation

  • US 8,762,306 B2
  • Filed: 08/14/2009
  • Issued: 06/24/2014
  • Est. Priority Date: 08/14/2008
  • Status: Active Grant
First Claim
Patent Images

1. A neural network device, comprising:

  • an input layer configured to accept N input signals;

    one or more “

    i”

    hidden layers having memory;

    at least one output layer;

    at least one neuron “

    Ylayer

    within each layer, where “

    layer”

    is the layer defined as “

    input”

    , “

    hiddeni

    or “

    output”

    ; and

    one or more memory structures configured to;

    a) store a recursive memory of input signals past, and b) allow for at least one time series prediction of a response;

    wherein one or more memory structures are included in both the input and hidden layers; and

    wherein the device is configured to be a time-lagged feed forward neural network device for predicting analyte levels in a sample or a subject in need thereof.

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