PATENT CLAIM ANALYSIS

Application Number: 16162695
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-10
Patent Classification: ["703", "011000"]

Abstract:
A system is provided for generating a classifier for classifying electromagnetic data (e.g., ECG) derived from an electromagnetic source (e.g., heart). The system accesses a computational model of the electromagnetic source. The computational model models the electromagnetic output of the electromagnetic source over time based on a source configuration (e.g., rotor location) of the electromagnetic source. The system generates, for each different source configuration (e.g., different rotor locations), a modeled electromagnetic output (e.g., ECG) of the electromagnetic source for that source configuration. For each modeled electromagnetic output, the system derives the electromagnetic data for the modeled electromagnetic output and generates a label (e.g., rotor location) for the derived electromagnetic data from the source configuration for the modeled electromagnetic data. The system trains a classifier with the derived electromagnetic data and the labels as training data. The classifier can then be used to classify the electromagnetic output collected from patients.

Claim (Index 33):
One or more computing systems for generating a classifier for classifying electromagnetic data derived from an electromagnetic source, the electromagnetic source being a human heart and the electromagnetic data representing a cardiogram, the one or more computing systems comprising:\n one or more computer-readable storage mediums storing:\n a computational model of the heart, the computational model for modeling electromagnetic output that represents activation of the heart over time based on a source configuration of the heart; and \n computer-executable instructions for controlling the one or more computing systems to:\n for each of a plurality of source configurations for a heart, generate training data that includes a cardiogram and a label, the cardiogram being derived from the electromagnetic output of the computational model that is based on the source configuration, the label being based on the source configuration; and \n train the classifier using the training data, the classifier for identifying a label for a cardiogram collected from a target human; and \n \n one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums.

Metadata:
- Claim Count in Document: 63.0
- Percentile: 97.0
- Lexical Diversity: 2.95
- Patent Class: 703.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15389245', '15261013', '14199495', '14578205', '15320644']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2270824704870801
- 35 USC 102 Novelty (BERT): 0.4600474147528833
- Combined Prediction Score: 0.2503789649136604
- Mean Citation Score: 115.818811
- Max Citation Score: 136.49383999999998
- Similarity Product: 105.2444019417858

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

Dataset: test