PATENT CLAIM ANALYSIS

Application Number: 16017906
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["600", "424000"]

Abstract:
Systems and methods for electromagnetic field generator alignment are disclosed. In one aspect, the system includes an electromagnetic (EM) sensor configured to generate, when positioned in a working volume of the EM field, one or more EM sensor signals based on detection of the EM field, the EM sensor configured for placement on a patient. The system may also include a processor and a memory storing computer-executable instructions to cause the processor to: determine a position of the EM sensor with respect to the field generator based on the one or more EM sensor signals, encode a representation of the position of the EM sensor with respect to the working volume of the EM field, and provide the encoded representation of the position to a display configured to render encoded data.

Claim (Index 1):
A system configured to facilitate alignment of a field generator and one or more electromagnetic (EM) sensors with respect to each other, the system comprising:\n an EM sensor configured to generate, when positioned in a working volume of an EM field generated by the EM field generator, one or more EM sensor signals based on detection of the EM field, the EM sensor configured for placement on a patient; a processor; and a memory storing computer-executable instructions to cause the processor to:\n determine a position of the EM sensor with respect to the field generator based on the one or more EM sensor signals; \n encode a representation of the position of the EM sensor with respect to the working volume of the EM field; and \n provide the encoded representation of the position to a display configured to render the encoded data.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 94.0
- Lexical Diversity: 2.26984
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15729569', '13728831', '15640277', '15669258', '14363671']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4416488723853358
- 35 USC 102 Novelty (BERT): 0.5396985595844547
- Combined Prediction Score: 0.4514538411052476
- Mean Citation Score: 187.949138
- Max Citation Score: 208.9418
- Similarity Product: 155.6406945335388

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