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 26):
The non-transitory computer readable storage medium of  claim 25 , wherein the instructions, when executed, cause the at least one computing device to:\n determine a position of the EM sensor relative to the at least one additional sensor; calculate a positional displacement of the EM sensor between the inspiration and the expiration phases based on (i) the determined position of the EM sensor relative to the at least one additional sensor and (ii) the at least one magnitude of displacement of the at least one additional sensor between inspiration and expiration phases; and determine the position of the distal end of the steerable instrument relative to the preoperative model based on the calculated positional displacement of EM sensor between the inspiration and the expiration phases.

Metadata:
- Claim Count in Document: 48.0
- Percentile: 90.0
- Lexical Diversity: 1.47727
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15783903', '15669258', '15268238', '15640277', '15729569']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.508780388917682
- 35 USC 102 Novelty (BERT): 0.4858725027209543
- Combined Prediction Score: 0.5064896002980093
- Mean Citation Score: 186.800366
- Max Citation Score: 236.98486
- Similarity Product: 164.76888782164454

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