PATENT CLAIM ANALYSIS

Application Number: 16181069
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["702", "082000"]

Abstract:
Methods for data processing and control for a medical communication system are provided, including determining a sensitivity value for each sensor of a batch of in vivo analyte sensors; determining a sensitivity variation for each sensor of the batch; determining a mean sensitivity based on the sensitivity value determined for each sensor of the batch when it is determined that the determined sensitivity variation does not exceed a tolerance threshold level; associating a sensor code with each sensor of the batch of in vivo analyte sensors when the mean sensitivity is within a predetermined sensitivity range, wherein the sensor code associated with each sensor is based on a characteristic of the associated sensor; and storing the sensor code associated with at least one sensor of the batch configured to generate signals corresponding to monitored analyte level in a memory of a data processing device associated with the sensor.

Claim (Index 16):
The method of  claim 11 , wherein each sensor of the batch of in vivo analyte sensors comprises a plurality of electrodes including a working electrode comprising an analyte-responsive enzyme bonded to a polymer disposed on the working electrode.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.42188
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15796274', '14223893', '13567038', '12152648', '15796262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2004390461618304
- 35 USC 102 Novelty (BERT): 0.5039484006008408
- Combined Prediction Score: 0.2307899816057314
- Mean Citation Score: 250.26321
- Max Citation Score: 297.39938
- Similarity Product: 264.23308434213044

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test