PATENT CLAIM ANALYSIS

Application Number: 15939678
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["600", "424000"]

Abstract:
Certain aspects relate to systems and techniques for luminal network navigation. Some aspects relate to incorporating respiratory frequency and/or magnitude into a navigation system to implement patient safety measures. Some aspects relate to identifying, and compensating for, motion caused by patient respiration in order to provide a more accurate identification of the position of an instrument within a luminal network.

Claim (Index 11):
An apparatus configured to determine navigation of a luminal network of a patient, the apparatus comprising:\n at least one computer-readable memory having stored thereon executable instructions; and one or more processors in communication with the at least one computer-readable memory and configured to execute the instructions to cause the apparatus to at least:\n access a model representative of the luminal network; \n access a mapping between a coordinate frame of the model and a coordinate frame of an electromagnetic (EM) field generated around the luminal network; \n receive data from an EM sensor on a distal end of a steerable instrument inserted, in use, into the luminal network; \n calculate, based on data from the EM sensor, a position of the EM sensor within the EM field based on data from the EM sensor; \n receive data from at least one additional sensor configured to detect movement of the luminal network; \n calculate, based on data from the at least one additional sensor, a frequency of cyclic movement of the luminal network; and \n determine a position of the distal end of the steerable instrument relative to the model based on the mapping, the frequency, and the position of the EM sensor within the EM field.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 90.0
- Lexical Diversity: 1.47727
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15783903', '15669258', '15268238', '15640277', '15729569']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4812141313997293
- 35 USC 102 Novelty (BERT): 0.4743017584694091
- Combined Prediction Score: 0.4805228941066973
- Mean Citation Score: 186.800366
- Max Citation Score: 236.98486
- Similarity Product: 185.77541754681232

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

Dataset: test