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 22):
A non-transitory computer readable storage medium having stored thereon instructions that, when executed, cause at least one computing device to at least:\n receive first data from an electromagnetic (EM) sensor on an instrument inserted, in use, in a tissue site of a patient and second data from at least one additional sensor configured to detect movement of the tissue site; calculate, based on the first data, a position of the EM sensor within an EM field disposed around the tissue site; calculate, based on second data, a frequency of cyclic movement of the tissue site; and determine a position of the instrument relative to the tissue site based on (i) the frequency of cyclic movement of the tissue site and (ii) the position of the EM sensor within the field.

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): 0.5103509486502021
- 35 USC 102 Novelty (BERT): 0.4790742196878645
- Combined Prediction Score: 0.5072232757539684
- Mean Citation Score: 186.800366
- Max Citation Score: 236.98486
- Similarity Product: 180.1573934691882

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