PATENT CLAIM ANALYSIS

Application Number: 15908217
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["607", "046000"]

Abstract:
A method of operating an implantable neuromodulator includes calculating an index for each of a plurality of modulation parameter sets, wherein each modulation parameter set includes a respective plurality of modulation parameters from which the respective index is calculated, serially conveying electrical modulation energy to a patient in accordance with each of the plurality of modulation parameter sets, causing the patient to perceive paresthesia in response to the conveyance of the electrical modulation energy to the tissue in accordance with one of the plurality of modulation parameter sets, identifying the calculated index for that one modulation parameter set as a perception threshold index based on the perceived paresthesia, and storing the identified perception threshold index. The method may also include determining a new modulation parameter set based on the identified perception threshold index, and conveying electrical modulation energy to the tissue in accordance with the new modulation parameter set.

Claim (Index 18):
The system of  claim 15 , wherein each of the first perception threshold index, the second perception threshold index and the modulation signal index are energy indices determined by multiplying respective amplitudes, pulse widths, and frequencies.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 88.0
- Lexical Diversity: 2.57377
- Patent Class: 607.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15480033', '14569155', '14296056', '15481237', '14316538']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6995448462401729
- 35 USC 102 Novelty (BERT): 0.5612236638774747
- Combined Prediction Score: 0.685712728003903
- Mean Citation Score: 390.76548
- Max Citation Score: 478.42648
- Similarity Product: 335.04387859338766

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

Dataset: test