PATENT CLAIM ANALYSIS

Application Number: 15934888
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["600", "509000"]

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 with a patient button. A press of the patient button is identified within the ECG data. A button window with a segment of data prior to and after the button press is defined within the ECG data. The ECG data is divided into blocks. Noise detection analysis is applied to the data blocks. A classification of noise or valid data is assigned to each data block based on the noise detection analysis. At least one data block that overlaps the button window is assigned the noise classification. The at least one data block is trimmed to align with one of the start and end of the button window. The trimmed blocks assigned with the noise classification are removed from the data.

Claim (Index 13):
A method in accordance with  claim 11 , further comprising:\n performing the noise detection analysis, comprising:\n identifying features; \n identifying repeating patterns of the features; \n generating a matrix with the identified features and patterns; \n generating at least one matrix with weights for the identified features and patterns; and \n assigning a value for each of the noise classification and the valid classification to each block based on the weight matrix.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 90.0
- Lexical Diversity: 2.35821
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15231752', '15661362', '14488256', '14656615', '14684260']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5511878288185961
- 35 USC 102 Novelty (BERT): 0.5071842193807009
- Combined Prediction Score: 0.5467874678748066
- Mean Citation Score: 287.083752
- Max Citation Score: 290.64612
- Similarity Product: 178.46706653743743

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