PATENT CLAIM ANALYSIS

Application Number: 15744918
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["600", "523000"]

Abstract:
The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal,identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject,and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.

Claim (Index 5):
The method as claimed in  claim 1 , wherein the said processing the ECG signal comprising fitting the ST and PQ segments of the ECG signal based on cubic spline fitting to provide fitted segment of the ECG signal.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 86.0
- Lexical Diversity: 2.67273
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11327546', '12779963', '13945657', '13092530', '14927775']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3943350813882996
- 35 USC 102 Novelty (BERT): 0.5007452543322428
- Combined Prediction Score: 0.4049760986826939
- Mean Citation Score: 191.443594
- Max Citation Score: 213.61333
- Similarity Product: 129.92709137430012

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