PATENT CLAIM ANALYSIS

Application Number: 16081850
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-03
Patent Classification: ["385", "013000"]

Abstract:
Methods, systems, and techniques for determining whether an event has occurred from dynamic strain measurements involve determining, using a processor, at least one event parameter from a signal representing the dynamic strain measurements, and then having the processor use the at least one event parameter to determine whether the event has occurred. The at least one event parameter is any one or more of a measure of magnitude of the signal, frequency centroid of the signal, filtered baseline of the signal, harmonic power of the signal, and time-integrated spectrum flux of the signal.

Claim (Index 21):
The method of  claim 5  wherein the processor determines whether the event has occurred by:\n (a) for each of the event threshold windows, comparing each of the at least one event parameter to an event parameter threshold specific to each of the at least one event parameter; \n (b) determining a percent activity for each of an event parameter window comprising at least one of the event threshold windows, wherein the percent activity is a percentage of the event threshold windows in the event parameter window for which each of the at least one event parameters satisfies the event parameter threshold; \n (c) comparing the percent activity to an activity threshold; and \n (d) when the percent activity satisfies the activity threshold, determining that the event has occurred for the portion of the signal in the event parameter window.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 96.0
- Lexical Diversity: 2.08
- Patent Class: 385.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15323937', '15323932', '15575981', '14775815', '10766306']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.798529931076002
- 35 USC 102 Novelty (BERT): 0.5024872081519036
- Combined Prediction Score: 0.7689256587835922
- Mean Citation Score: 179.98625199999995
- Max Citation Score: 202.11865
- Similarity Product: 117.30963836092351

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

Dataset: test