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 27):
The non-transitory computer readable storage medium of  claim 25 , wherein the at least one additional sensor comprises a first additional EM sensor positioned, in use, at a first position on the patient and a second additional EM sensor positioned, in use, at a second position of the patient, wherein the second position is spaced apart from the first position such that a first magnitude of displacement of the first additional EM sensor is greater than a second magnitude of displacement of the second additional EM sensor between the inspiration and the expiration phases, and wherein the instructions, when executed, cause the at least one computing device to:\n determine a position of the EM sensor relative to the first and second additional EM sensors; and interpolate between the first and second magnitudes of displacement based on the determined position of the EM sensor relative to the first and second additional EM sensors, wherein the calculation of the positional displacement of the EM sensor between the inspiration and the expiration phases is based on the interpolated magnitude.

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): 0.5111748196770934
- 35 USC 102 Novelty (BERT): 0.4755103933635806
- Combined Prediction Score: 0.5076083770457422
- Mean Citation Score: 186.800366
- Max Citation Score: 236.98486
- Similarity Product: 188.23107568201303

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