Near infrared blood glucose monitoring system
First Claim
1. A method for predicting blood glucose values in a patient comprising:
- (a) generating an individualized modeling equation for a patient as a function of non-invasive spectral scans of a body part of the patient and an analysis of blood samples from the patient and storing the individualized modeling equation on a central computer;
(b) receiving, from the patient, a non-invasive spectral scan generated by a remote spectral device;
(c) predicting a blood glucose value for the patient as a function of the non-invasive spectral scan and the individualized modeling equation, and transmitting the predicted blood glucose value to the patient;
(d) determining that a regeneration of the individualized modeling equation is required, and transmitting a request for a set of non invasive spectral scans and a corresponding set of blood glucose values to the patient;
(e) acquiring a set of noninvasive spectral scans from the patient using the remote spectral device and a corresponding set of blood glucose values from a remote invasive blood glucose monitor;
(f) transmitting the set of spectral scans and corresponding blood glucose values to the central computer;
(g) regenerating the individualized modeling equation as a function of the set of spectral scans and corresponding blood glucose values.
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Accused Products
Abstract
An individualized modeling equation for predicting a patient'"'"'s blood glucose values is generated as a function of non-invasive spectral scans of a body part and an analysis of blood samples from the patient, and is stored on a central computer. The central computer predicts a blood glucose value for the patient as a function of the individualized modeling equation and a non-invasive spectral scan generated by a remote spectral device. If the spectral scan falls within the range of the modeling equation, the predicted blood glucose level is output to the patient. If the spectral scan falls outside the range of the modeling equation, regeneration of the model is required, and the patient takes a number of noninvasive scans and an invasive blood glucose level determination. The computer regenerates the individualized modeling equation as a function of the set of spectral scans and corresponding blood glucose values.
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Citations
23 Claims
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1. A method for predicting blood glucose values in a patient comprising:
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(a) generating an individualized modeling equation for a patient as a function of non-invasive spectral scans of a body part of the patient and an analysis of blood samples from the patient and storing the individualized modeling equation on a central computer;
(b) receiving, from the patient, a non-invasive spectral scan generated by a remote spectral device;
(c) predicting a blood glucose value for the patient as a function of the non-invasive spectral scan and the individualized modeling equation, and transmitting the predicted blood glucose value to the patient;
(d) determining that a regeneration of the individualized modeling equation is required, and transmitting a request for a set of non invasive spectral scans and a corresponding set of blood glucose values to the patient;
(e) acquiring a set of noninvasive spectral scans from the patient using the remote spectral device and a corresponding set of blood glucose values from a remote invasive blood glucose monitor;
(f) transmitting the set of spectral scans and corresponding blood glucose values to the central computer;
(g) regenerating the individualized modeling equation as a function of the set of spectral scans and corresponding blood glucose values. - View Dependent Claims (3, 4, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17)
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2. An automated method for predicting blood glucose values using a noninvasive spectroscopic technique, comprising the steps of:
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(a) taking a plurality of measurements of a patient'"'"'s blood glucose levels using a noninvasive spectral device and an invasive glucose monitoring method;
(b) associating a constituent value measured by the invasive glucose monitoring method with the blood glucose level measured by the spectral device;
(c) dividing the plurality of spectral scans and constituent values into a calibration subset and a validation subset;
(d) transforming the spectral scans in the calibration sub-set and the validation subset by applying a plurality of a first mathematical finction to the calibration sub-set and the validation sub-set to obtain a plurality of transformed validation data sub-sets and a plurality of transformed calibration sub-sets;
(e) resolving each transformed calibration data sub-set in step (d) by at least one of a second mathematical function to generate a plurality of modeling equations; and
(f) selecting a best modeling equation of the plurality of modeling equations;
(g) storing the best modeling equation in a central computer;
(h) acquiring a spectral scan from the patient using a remote noninvasive spectral device;
(i) transmitting the spectral scan from step (h) in the central computer of step (g);
(j) predicting the patient'"'"'s blood glucose level using the best modeling equation; and
(k) regenerating the best modeling equation if the spectral scan falls outside a range for the modeling equation. - View Dependent Claims (5, 12, 13, 18, 19, 20, 21)
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22. A method for predicting blood glucose values in an individual patient, comprising
generating, on a central computer, a modeling equation for predicting blood glucose values in a patient and predicting a blood glucose value for the patient based upon a non-invasive spectral scan of the patient with a remote spectral device and the modeling equation; -
regenerating, on the central computer, the modeling equation based upon non-invasive spectral scans of the patient with the remote spectral device and corresponding constituent values for the patient based upon an invasive blood glucose measurement with a remote invasive device; and
predicting a blood glucose value for the patient based upon a subsequent non-invasive spectral scan of the patient with the remote spectral device and the regenerated modeling equation.
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23. A system for predicting blood glucose values in an individual patent, comprising
a remote non-invasive spectral device, the remote non-invasive spectral device generating a spectral scan of a body part of a patient; -
a remote invasive device, the remote invasive device generating a constituent value for the patient;
a central computer, the central computer storing a modeling equation for predicting blood glucose values in a patient, the central computer predicting a blood glucose value for the patient based upon a non-invasive spectral scan of the patient from the remote non-invasive spectral device and the modeling equation, the central computer regenerating the modeling equation based upon a plurality of non-invasive spectral scan of the patient from the remote non-invasive spectral device and a corresponding plurality of constituent values for the patient from the remote invasive device, and predicting a blood glucose value for the patient based upon a subsequent non-invasive spectral scan of the patient with the remote non-invasive spectral device and the regenerated modeling equation.
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Specification