PATENT CLAIM ANALYSIS

Application Number: 15998491
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["600", "301000"]

Abstract:
Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Claim (Index 20):
The system of  claim 14 , wherein the instructions when executed further cause the system to:\n extract a low-frequency component of first sensor data, generated by a red PPG sensor, and a low-frequency component of second sensor data, generated by an infrared PPG sensor; determine processed sensor data based on dividing the low-frequency component of the first sensor data by the low-frequency component of the second sensor data; and classifying at least one of a plurality of temporal windows for the sleep period using the processed sensor data.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 1.67742
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15043330', '15413130', '14750389', '15207924', '14929144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4953936736962938
- 35 USC 102 Novelty (BERT): 0.4970218764753822
- Combined Prediction Score: 0.4955564939742026
- Mean Citation Score: 202.877476
- Max Citation Score: 227.10559
- Similarity Product: 140.4006158047879

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

Dataset: test