PATENT CLAIM ANALYSIS

Application Number: 16034793
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-06
Patent Classification: ["600", "014000"]

Abstract:
Methods for treating a patient using time varying magnetic field are described. The treatment methods combine various approaches for aesthetic treatment. The methods are focused on enhancing a visual appearance of the patient.

Claim (Index 39):
A method for increasing apoptotic index, reducing adipose cells, cellulite treatment, a muscle toning, shaping, strengthening effect, and/or a muscle volume increase of a patient using a time-varying magnetic field applied to a muscle of the patient comprising:\n placing a first magnetic field generating device proximate to a body region including a first muscle; placing a second magnetic field generating device proximate to a body region including a second muscle wherein the second muscle is a pair or cooperating muscle of the first muscle; providing energy to at least one of the first and/or the second magnetic field generating devices having an inductance in a range of 1 nH to 1 H in order to generate the time-varying magnetic field with an impulse duration in a range of 3 to 3000 \u03bcs; and applying the time-varying magnetic field to the patient's muscle in the body region including at least one of thigh, saddlebags, buttock, abdomen, hips, love handles, torso and/or arm of the patient in at least two trains wherein each of said trains lasts at least 4 ms and wherein at least one train causes a contraction of the patient's muscle and a relaxation of the patient's muscle follows after the contraction of the patient's muscle.

Metadata:
- Claim Count in Document: 70.0
- Percentile: 95.0
- Lexical Diversity: 1.33333
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15954783', '15862410', '16034752', '15860443', '15677371']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.501311886786909
- 35 USC 102 Novelty (BERT): 0.5572610010425096
- Combined Prediction Score: 0.5069067982124691
- Mean Citation Score: 402.465038
- Max Citation Score: 452.95374
- Similarity Product: 363.9725459157586

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