PATENT CLAIM ANALYSIS

Application Number: 15896063
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["607", "011000"]

Abstract:
Systems and methods are disclosed for physical assistance by: during a training phase, capturing muscle signals associated with a predetermined task and training a learning machine to associate the muscle signals with the task; during use, identifying a desired task to the learning machine to retrieve the muscle signals associated with the task; and applying functional electrical stimulation (FES) to actuate the muscle signals for the desired task.

Claim (Index 10):
The method of  claim 1 , wherein the learning machine learns heart nerve stimulation to control blood pressure or to reduce risk of heart failure or heart attack.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.85366
- Patent Class: 607.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13807870', '14118772', '14204829', '15885365', '12557634']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.602259187485065
- 35 USC 102 Novelty (BERT): 0.4969711317623848
- Combined Prediction Score: 0.591730381912797
- Mean Citation Score: 104.820262
- Max Citation Score: 113.08617
- Similarity Product: 58.010281144098045

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

Dataset: test