PATENT CLAIM ANALYSIS

Application Number: 15991634
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["340", "870070"]

Abstract:
The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

Claim (Index 6):
The method of  claim 5 , wherein the quantitative data comprises at least one of sensor accuracy, sensor session length, sensor baseline, sensor sensitivity, sensor sensitivity decline over time, sensor performance vs. past performance in a same person, sensor performance vs. a population of users, sensor performance by days or wear, sensor performance by geographical location, sensor performance by external environment, sensor performance by activity level, data indicative of signal noise, time spent out of communication range, adhesive data, reliability, data capture, noise metrics, detected faults, end of life metrics, or confidence levels.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 93.0
- Lexical Diversity: 1.62264
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15224306', '15585757', '14539890', '14539956', '15362623']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7531080064798541
- 35 USC 102 Novelty (BERT): 0.5282901160334003
- Combined Prediction Score: 0.7306262174352087
- Mean Citation Score: 335.68722
- Max Citation Score: 345.63336
- Similarity Product: 344.0418436268377

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

Dataset: test