PATENT CLAIM ANALYSIS

Application Number: 16407055
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["702", "085000"]

Abstract:
Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.

Claim (Index 1):
A method of calibrating an analyte concentration sensor, the sensor as a member of a manufactured lot of sensors, the lot of a given type of sensor, in which one or more operating parameters of the type of sensor of the lot have been determined, the determining of the operating parameters based on retrospective data, the operating parameters corresponding to at least a sensitivity of the sensor, the operating parameters representing in vivo values, the method comprising steps of:\n measuring one or more long term drift characteristics of sensitivity of a subset of sensors in the lot; for a subject sensor, measuring a value of an initial measurable parameter; correlating the measured value of the initial measurable parameter of the subject sensor to the measured one or more long term drift characteristics via a first set of coefficients; correlating at least a subset of the one or more determined operating parameters to the measured value of the initial measurable parameter via a second set of coefficients; and using the first and second set of coefficients to determine an estimated value of at least an in vivo final sensitivity of the subject sensor prospectively, wherein given a measured value of the initial measurable parameter of the subject sensor, an in vivo sensitivity value for the subject sensor can be estimated.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 100.0
- Lexical Diversity: 1.34884
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15394327', '15394658', '14956192', '13796642', '13827119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1854983244220066
- 35 USC 102 Novelty (BERT): 0.5539233944428945
- Combined Prediction Score: 0.2223408314240954
- Mean Citation Score: 276.055364
- Max Citation Score: 407.4938
- Similarity Product: 392.19756816906937

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test