PATENT CLAIM ANALYSIS

Application Number: 15743282
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["600", "515000"]

Abstract:
The invention is designed to diagnose cardiovascular system (CVS) based on at least 148 quantitative ECG parameters including Heart Rate Variability (HRV) ones. Parameters are rated to 100 points, divided into 7 groups with close physiological nature, 4 diagnostic criteria (evaluation of CVS regulation, myocardium state, emotion state, HR disorders) and complex index of functional state (CIFS) are calculated. Aggregated diagnostic and prognostic decision are made about the functional CVS state and psycho-emotional state by combining CIFS, Hannover (or other similar algorithm), Minnesota code, myocardial abnormalities codes, and prediction codes of serious cardiovascular events. The method increases the accuracy and reliability of diagnostics.

Claim (Index 1):
Method of ECG evaluation based on universal scoring system, comprising recording electrocardiogram (ECG) at least within 6 leads,\n calculating quantitative parameters of ECG signal under various mathematical methods, including heart rate variability (HRV), calculation of diagnostic criteria (DC) and their deviations from the norm by using 4-value rule: normal range, minor, moderate, severe damages, and evaluation of abnormalities in cardiovascular system (CVS) and emotional state of person characterized in that the hierarchical 5-level diagnostic algorithm is made, in which each next level is formed by averaging the indicators or combining the decisions obtained at the previous level, Level 1\u2014calculation of normalized ECG indicators via scaling of quantitative ECG parameters according to range from 0 to 100 points, Level 2\u2014dividing above ECG indicators at least onto 7 groups of relative indicators with close physiological nature, including:\n Group 1 of amplitude-time ECG indicators to current control of myocardium state, \n Group 2 of HRV indicators to current control over CVS regulation, \n Group 3 of HR disorder indicators to control of the CVS state, \n Group 4 of amplitude-time ECG indicators for evaluation of myocardial reserves, \n Group 5 of HRV indicators for evaluation of reserves of the CVS regulation, \n Group 6 of HRV indicators to evaluate human psycho-emotional state, \n Group 7 of HR disorder indicators for evaluation of CVS reserves, \n calculating at least 7 general indicators 1, 2, 3 . . . 7 by averaging the values of the respective Groups 1, 2, 3 . . . 7, Level 3\u2014calculating 4 integral DCs, which include:\n DC1 for evaluation of myocardium state as the average out of general indicators 1 and 4, \n DC2 for evaluation of CVS regulation as the average out of general indicators 2 and 5, \n DC3 for evaluation of HR disorders as the average out of general indicators 3 and 7, \n DC4 for evaluation of emotional state as a general indicator 6, \n calculation of the complex index of functional state (CIFS) of the CVS as the average value out of 4 integral indicators DC1-DC4,calculating the known ECG scores based on syndrome-based analysis by Hannover algorithm and Minnesota code, calculating the known ECG scores based on the following:\n myocardial abnormalities codes, such as Silvester code, Q-code, CIIS code, and Aldridge code, \n prediction codes of serious cardiovascular events such as Froelicher code, 1st lead code, AVR lead code, and code of sudden cardiac death, \n Level 4\u2014making an intermediate diagnostic decision that CVS functional state is in normal range (minor, moderate or severe damages) if CIFS values are in range of 76\u2264CIFS\u2264100 (51\u2264CIFS\u226475, 26\u2264CIFS\u226450 or 0\u2264CIFS\u226425),\n making intermediate diagnostic decision according to mentioned 4-value rule based on Hannover algorithm, Minnesota code, and myocardial abnormalities codes, \n making intermediate prognostic decisions according to mentioned 4-value rule based on prediction codes of serious cardiovascular events, \n Level  5 \u2014making the final aggregated diagnostic and prognostic decision about CVS functional state and psycho-emotional state by combination of intermediate decision based on CIFS with at least one intermediate decision based on Hannover algorithm, Minnesota code, myocardial abnormalities codes, or prediction codes of serious cardiovascular events, performing all above steps in computer-based manner with subsequent visualization onto PC monitor and hard-copy printing of evaluation results.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 86.0
- Lexical Diversity: 1.5
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12916559', '10423474', '13643114', '13868605', '14049001']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3884329454289965
- 35 USC 102 Novelty (BERT): 0.4801978629876159
- Combined Prediction Score: 0.3976094371848584
- Mean Citation Score: 135.504888
- Max Citation Score: 154.13255
- Similarity Product: 102.14717748923898

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