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 31):
A method for increasing apoptotic index, reducing adipose cells, cellulite treatment, and/or circumferential reduction in a patient using a time-varying magnetic field, comprising:\n placing at least one magnetic field generating device proximate to a body region of the patient; providing energy to the at least one magnetic field generating device in order to generate at least one time-varying magnetic field; and a) applying a magnetic fluence of between 60 and 40,000 T\u00b7cm 2  to the body region of abdomen between costae and pelvis; or b) applying a magnetic fluence of between 60 and 40,000 T\u00b7cm 2  to the body region of a buttock between gluteal sulcus and iliac crest of the patient; or c) applying a magnetic fluence of between 60 and 40,000 T\u00b7cm 2  to the body region of thigh between gluteal sulcus and popliteal fossa of the patient; wherein the at least one time-varying magnetic field is applied to the body region with a magnetic flux density sufficient to cause a muscle contraction in order to cause a contraction of a 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): 0.5026646367048665
- 35 USC 102 Novelty (BERT): 0.5544814545506218
- Combined Prediction Score: 0.5078463184894421
- Mean Citation Score: 402.465038
- Max Citation Score: 452.95374
- Similarity Product: 343.7235578624153

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