PATENT CLAIM ANALYSIS

Application Number: 15926290
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["600", "509000"]

Abstract:
Methods to identify and risk stratify disease states, cardiac structural defects, functional cardiac deficiencies induced by teratogens and other toxic agents, pathological substrates, conduction delays and defects, and ejection fraction using single channel biological data obtained from the subject. A modified Matching Pursuit (MP) algorithm may be used to find a noiseless model of the data that is sparse and does not assume periodicity of the signal. After the model is derived, various metrics and subspaces are extracted to characterize the cardiac system. In another method, space-time domain is divided into a number of regions (which is largely determined by the signal length), the density of the signal is computed in each region and input to a learning algorithm to associate them to the desired cardiac dysfunction indicator target.

Claim (Index 9):
The method of  claim 1 , further comprising determining a utility of patient therapies.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 1.52632
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14620388', '15207214', '13970580', '15061090', '15588148']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5374927790358078
- 35 USC 102 Novelty (BERT): 0.5589112862565515
- Combined Prediction Score: 0.5396346297578822
- Mean Citation Score: 394.052474
- Max Citation Score: 491.51477
- Similarity Product: 342.96068663843386

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