PATENT CLAIM ANALYSIS

Application Number: 16258442
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["345", "474000"]

Abstract:
Methods and apparatus for anonymizing neuromuscular signals used to generate a musculoskeletal representation. The method comprises recording, using a plurality of neuromuscular sensors arranged on one or more wearable devices, a plurality of neuromuscular signals from a user, providing as input to a trained statistical model, the plurality of neuromuscular signals and/or information based on the plurality of neuromuscular signals; and generating, the musculoskeletal representation based, at least in part, on an output of the trained statistical model, wherein the musculoskeletal representation is an anonymized musculoskeletal representation from which at least one personal characteristic of the user has been removed.

Claim (Index 7):
The computerized system of  claim 1 , wherein the first personal characteristic of the user comprises at least one movement pattern associated with a neurological disorder or a non-pathological idiosyncrasy.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 99.0
- Lexical Diversity: 1.88136
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16258232', '16257979', '16258409', '15974384', '15659018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7016285590801651
- 35 USC 102 Novelty (BERT): 0.5943019582364317
- Combined Prediction Score: 0.6908958989957917
- Mean Citation Score: 283.310636
- Max Citation Score: 324.94073
- Similarity Product: 229.4453322889101

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