PATENT CLAIM ANALYSIS

Application Number: 15766289
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "440000"]

Abstract:
A method of mapping cardiac restitution includes: receiving a plurality of EP data points including location and restitution data; identifying a subset of the EP data points forming an EP data point cluster; fitting a restitution curve to the restitution data of the EP data points forming the cluster; and identifying at least one restitution metric for a region of the cardiac surface corresponding to the cluster from the restitution curve. The restitution curve can be an exponential function using quiescent interval data (e.g., DI and/or CL) as the independent variable and cardiac repolarization activity data (e.g., APD, ARI, and/or EGM width) as the dependent variable. The parameters of the exponential function can be determined by optimizing a cost function. A graphical representation of the restitution metric can also be output on a three-dimensional model of the cardiac surface.

Claim (Index 19):
A system for mapping cardiac restitution, comprising:\n a cardiac restitution analysis processor configured:\n to receive a plurality of EP data points, each EP data point of the plurality of EP data points comprising location data and restitution data, the restitution data comprising quiescent interval data and cardiac repolarization activity data; \n to identify a subset of the plurality of EP data points forming an EP data point cluster; \n to fit a restitution curve to the restitution data of the subset of the plurality of EP data poi s forming the EP data point cluster; and \n to identify at least one restitution metric for the EP data point cluster from the restitution curve.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.06667
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14133242', '15300684', '13586503', '15134881', '09869839']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6296785974665688
- 35 USC 102 Novelty (BERT): 0.4957187628852815
- Combined Prediction Score: 0.6162826140084401
- Mean Citation Score: 192.475718
- Max Citation Score: 242.18771
- Similarity Product: 176.04433643057706

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

Dataset: test