PATENT CLAIM ANALYSIS

Application Number: 15752740
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-02
Patent Classification: ["600", "532000"]

Abstract:
A sleep monitoring system ( 10 ) for monitoring the sleep of a subject is disclosed. The system comprises a CO 2  sensor ( 21 ) and a processor ( 31 ) communicatively coupled to the CO 2  sensor, wherein the processor is adapted to monitor a CO 2  concentration from sensor data produced by the CO 2  sensor; and derive sleep pattern information from the monitored CO 2  concentration, wherein the sleep pattern information comprises at least an indication that the subject is awake and an indication that the subject is asleep. A sleep monitoring method and computer program product are also disclosed.

Claim (Index 3):
The sleep monitoring system of  claim 2 , wherein the sleep pattern information further comprises an indication of the sleep efficiency, wherein the processor is adapted to calculate the indication of the sleep efficiency from:\n a first time period initiated by the indication that the subject is attempting to sleep and terminated by an indication that the subject is getting up; and a second time period initiated by an indication that the subject is asleep and terminated by an indication that the subject is awake that follows the indication that the subject is asleep.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 88.0
- Lexical Diversity: 2.03704
- Patent Class: 600.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16321754', '11463076', '13553098', '11320058', '12574631']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4468349140136229
- 35 USC 102 Novelty (BERT): 0.5185077678269718
- Combined Prediction Score: 0.4540021993949578
- Mean Citation Score: 221.602954
- Max Citation Score: 324.74994
- Similarity Product: 253.3508190622401

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