PATENT CLAIM ANALYSIS

Application Number: 16526401
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-11
Patent Classification: ["345", "156000"]

Abstract:
Methods and system for predicting the onset of a motor action using neuromuscular signals. The system comprises a plurality of sensors configured to continuously record a plurality of neuromuscular signals from a user and at least one computer processor programmed to provide as input to a trained statistical model, the plurality of neuromuscular signals or information based on the plurality of neuromuscular signals, predict, based on an output of the trained statistical model, whether an onset of a motor action will occur within a threshold amount of time; and send a control signal to at least one device based, at least in part, on the output probability, wherein the control signal is sent to the at least one device prior to completion of the motor action by the user.

Claim (Index 4):
The control system of  claim 3 , wherein determining the operating threshold comprises:\n determining a mean anticipation time based on the data; and determining the operating threshold based, at least in part, on the mean anticipation time.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.10606
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15659018', '16258442', '15974384', '16258232', '16257979']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6424992641986644
- 35 USC 102 Novelty (BERT): 0.5605226233538028
- Combined Prediction Score: 0.6343016001141784
- Mean Citation Score: 285.973834
- Max Citation Score: 411.3608
- Similarity Product: 405.2381814435482

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