PATENT CLAIM ANALYSIS

Application Number: 16054203
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["600", "484000"]

Abstract:
In accordance with an aspect of the present invention, a system and method allows for the assessment of health and mortality based on dynamic nonlinear calculations of self-similar fluctuation patterns in a time series of QT intervals and of other physiological signals, such as RR intervals, temperature, blood pressure, respiration, saturation of peripheral oxygen, intracardiac pressures, and electroencephalogram. In order to nonlinearly determine health and mortality, time series of QT intervals and of other physiological signals (e.g., RR intervals) are simultaneously obtained, and entropy values are calculated for each signal over the same temporal interval. “EntropyX” is calculated from relative changes between moments and entropy of QT intervals and those of other physiological signals over seconds to days. The absolute and relative entropy values at a specific time point and/or subsequent changes in entropy over future time points can be used to determine a treatment plan for the subject.

Claim (Index 7):
The method of  claim 1  further comprising determining numbers of matching intervals within each segment and using a regression model to combine the numbers of matching intervals.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 1.76842
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14400408', '12594842', '15973024', '14615038', '13515477']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4303767507779368
- 35 USC 102 Novelty (BERT): 0.5248881366043482
- Combined Prediction Score: 0.439827889360578
- Mean Citation Score: 273.442732
- Max Citation Score: 330.01608
- Similarity Product: 181.9058574583626

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

Dataset: test