PATENT CLAIM ANALYSIS

Application Number: 15993897
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["607", "002000"]

Abstract:
A method for implanting a neurostimulation lead within a patient includes measuring impedances of electrodes on the lead in order to correctly position the lead relative to a target tissue region. The electrodes are circumferentially segmented electrodes that are spaced from each other about the longitudinal axis of the lead. When the difference between the impedances of the electrodes exceeds a threshold value, the lead is in the correct position. In accordance with another embodiment, impedance measurements are used to select which one of the electrodes is closest to the target tissue region. By determining which electrode has the highest impedance and which electrode has the lowest impedance, the type of tissue adjacent to each electrode can be determined based on the conductivity properties of the tissue. The target tissue region may be a spinal cord, a posterior longitudinal ligament, white matter, or gray matter.

Claim (Index 17):
The system of  claim 16 , wherein the information related to electrode position with respect to the target volume includes information regarding at least one of the at least two electrodes positioned closest to the target tissue region.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.89157
- Patent Class: 607.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15363557', '13533532', '14805979', '15860460', '15361602']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7248723124625938
- 35 USC 102 Novelty (BERT): 0.5585638323781187
- Combined Prediction Score: 0.7082414644541463
- Mean Citation Score: 398.167314
- Max Citation Score: 468.9838
- Similarity Product: 371.1739410756826

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

Dataset: test