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 17):
A method in accordance with  claim 15 , further comprising:\n removing the noise classification from one such segment of ECG data when the window is the same length as or longer than the segment.

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): 0.5195971231138659
- 35 USC 102 Novelty (BERT): 0.5482426360701798
- Combined Prediction Score: 0.5224616744094972
- Mean Citation Score: 325.3395440000001
- Max Citation Score: 454.23047
- Similarity Product: 339.6610337855697

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