PATENT CLAIM ANALYSIS

Application Number: 15941736
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["600", "512000"]

Abstract:
Methods and systems for evaluating the electrical activity of the heart to identify novel ECG patterns closely linked to the subsequent development of serious heart rhythm disturbances and fatal cardiac events. Two approaches are describe, for example a model-based analysis and space-time analysis, which are used to study the dynamical and geometrical properties of the ECG data. In the first a model is derived using a modified Matching Pursuit (MMP) algorithm. Various metrics and subspaces are extracted to characterize the risk for serious heart rhythm disturbances, sudden cardiac death, other modes of death, and all-cause mortality linked to different electrical abnormalities of the heart. In the second method, space-time domain is divided into a number of regions (e.g., 12 regions), the density of the ECG signal is computed in each region and input to a learning algorithm to associate them with these events.

Claim (Index 1):
A method for quantifying the risk of serious arrhythmias, sudden cardiac death, or other modes of death and all-cause mortality events in mammals, comprising:\n obtaining ECG data, processing the ECG data to detect patterns that predict a risk of sudden cardiac death, other modes of death, and all-cause mortality, the processing being performed without the use of data from other measuring devices or invasive procedures, the ECG data including at least 12 dimensional dynamical phase space densities.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.75824
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15207214', '15926290', '14620388', '15588148', '15061090']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5123729592044225
- 35 USC 102 Novelty (BERT): 0.5559232338147024
- Combined Prediction Score: 0.5167279866654505
- Mean Citation Score: 410.633744
- Max Citation Score: 481.78616
- Similarity Product: 321.66865739252086

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