PATENT CLAIM ANALYSIS

Application Number: 16405931
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["340", "604000"]

Abstract:
Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Claim (Index 17):
A system for measuring an analyte, the system comprising sensor electronics configured to be operably connected to a continuous analyte sensor, the sensor electronics configured to:\n apply a time-varying signal to the analyte sensor; measure a signal response to the applied signal; determine a sensitivity of the analyte sensor, the determining comprising correlating at least one property of the signal response to a predetermined sensor sensitivity profile; and generate estimated analyte concentration values using the determined sensitivity and sensor data generated by the analyte sensor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.78205
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16405887', '13446848', '13446977', '13446983', '14956192']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7533547329304884
- 35 USC 102 Novelty (BERT): 0.5537335496252871
- Combined Prediction Score: 0.7333926145999683
- Mean Citation Score: 371.370564
- Max Citation Score: 396.31378
- Similarity Product: 378.4329523109149

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