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 1):
A system configured to navigate a luminal network of a patient, the system comprising:\n a field generator configured to generate an electromagnetic (EM) field; a set of one or more EM sensors at a distal end of a steerable instrument; a set of one or more respiration sensors; 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 system to at least:\n access a preoperative model representative of the luminal network; \n access a mapping between a coordinate frame of the EM field and a coordinate frame of the preoperative model; \n calculate at least one position of the set of EM sensors within the EM field based on a data signal from the set of EM sensors; \n calculate a frequency of respiration of the patient based on a data signal from the set of respiration sensors; and \n determine a position of the distal end of the steerable instrument relative to the preoperative model based on the registration mapping, the frequency of the respiration, and the at least one position of the set of EM sensors 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): 0.4800179500406208
- 35 USC 102 Novelty (BERT): 0.4794808732986325
- Combined Prediction Score: 0.479964242366422
- Mean Citation Score: 186.800366
- Max Citation Score: 236.98486
- Similarity Product: 174.04144909805416

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