PATENT CLAIM ANALYSIS

Application Number: 16378312
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["600", "382000"]

Abstract:
A system and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders is provided. ECG data is obtained via an electrocardiography monitor shaped for placement on a patient's chest. The ECG data is divided into segments and noise detection analysis is applied to the ECG data segments. A noise classification or a valid classification is assigned to each segment of the ECG data. At least one ECG data segment assigned the noise classification and that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor is identified. The ECG data that corresponds with the patient feedback is removed from the identified ECG data segment with the noise classification. The ECG data segments assigned the noise classification are removed from further analysis.

Claim (Index 1):
A system for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders, comprising:\n a database to store ECG data obtained via an electrocardiography monitor shaped for placement on a patient's chest; and a server comprising a central processing unit, memory, an input port to receive the ECG data from the database, and an output port, wherein the central processing unit is configured to:\n divide the ECG data into segments; \n apply noise detection analysis to the ECG data segments; \n assign one of a noise classification and a valid classification to each segment of ECG data; \n identify at least one ECG data segment assigned the noise classification that includes ECG data that corresponds with feedback from the patient via the electrocardiography monitor; \n remove the ECG data that corresponds with the patient feedback from the identified ECG data segment with the noise classification; and \n removing the ECG data segments assigned the noise classification from further analysis.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 100.0
- Lexical Diversity: 2.33898
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15934888', '16178463', '15231752', '15682242', '15162489']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5176717695794061
- 35 USC 102 Novelty (BERT): 0.552233753730795
- Combined Prediction Score: 0.521127967994545
- Mean Citation Score: 325.3395440000001
- Max Citation Score: 454.23047
- Similarity Product: 368.2973552823616

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

Dataset: test