PATENT CLAIM ANALYSIS

Application Number: 16267380
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["600", "509000"]

Abstract:
Systems and methods are provided for analyzing electrocardiogram (ECG) data of a patient using a substantial amount of ECG data. The systems receive ECG data from a sensing device positioned on a patient such as one or more ECG leads. The system may include an application that communicates with an ECG platform running on a server(s) that processes and analyzes the ECG data, e.g., using neural networks for delineation of the cardiac signal and classification of various abnormalities, conditions and/or descriptors. The processed ECG data is communicated from the server(s) for display in a user-friendly and interactive manner with enhanced accuracy.

Claim (Index 1):
A system for analyzing electrocardiogram (ECG) data of a patient, the system comprising:\n a first plurality of instructions configured to, when executed, obtain ECG data of the patient over a plurality of time points, the ECG data sampled at a rate of at least 20 samples per second, the first plurality of instructions further configured to, when executed, cause transmission of the ECG data to at least one server; a second plurality of instructions configured to, when executed, cause the at least one server to:\n receive the ECG data of the patient, \n analyze the ECG data of the patient using at least one algorithm trained from a plurality of ECG data sets from different patients; \n quantify a likelihood of a presence of one or more abnormalities, conditions, or descriptors, or any combination thereof, based on the analysis of the ECG data; and \n transmit information corresponding to the presence of the one or more abnormalities, conditions, or descriptors, or any combination thereof, to a computer from the at least one server for display; and \n a third plurality of instructions configured to, when executed by the computer, cause the computer to display information corresponding the presence of the one or more abnormalities, conditions, or descriptors, or any combination thereof, based on the transmitted information from the at least one server.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.6338
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15686948', '15934888', '12090183', '10865985', '16178463']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4774613532160084
- 35 USC 102 Novelty (BERT): 0.477238543461543
- Combined Prediction Score: 0.4774390722405619
- Mean Citation Score: 204.575858
- Max Citation Score: 232.1947
- Similarity Product: 152.40323725900654

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

Dataset: test