PATENT CLAIM ANALYSIS

Application Number: 16120935
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2018-12
Patent Classification: ["600", "301000"]

Abstract:
Systems and methods to detect sleep stages of a subject analyze physiological parameters of the subject in combination with a subject's reactions to stimuli of increasing intensity and/or stimuli having different modalities. Stimuli are provided until a predetermined level of probability is reached for the accuracy of an estimation of the sleep stage of the subject.

Claim (Index 1):
A system to detect sleep stages of a subject, the system comprising:\n a stimulus source configured to provide stimuli to the subject; one or more sensors that generate output signals conveying information related to one or more physiological parameters of the subject; and one or more processors configured to execute computer program modules, the computer program modules comprising:\n a reaction module configured to analyze, based on the one or more physiological parameters, reactions to the stimuli provided by the stimulus source; \n a sleep stage module configured to: i) generate a sleep stage estimation of the subject based on one or both of the analyzed reactions and/or the one or more physiological parameters, and ii) determine a probability of accuracy of the sleep stage estimation; a comparison module configured to determine whether the probability of accuracy breaches a predetermined threshold; and a stimulus control module configured to, responsive to the probability of accuracy failing to breach the predetermined threshold, control the stimulus source to provide a reassessment stimulus to the subject, wherein the reaction module is further configured to analyze a reaction to the reassessment stimulus, wherein the sleep stage module is further configured to reassess one or both of the sleep stage estimation of the subject and/or the probability of accuracy based on the analyzed reaction to the reassessment stimulus.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 97.0
- Lexical Diversity: 1.43902
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14764063', '14758579', '12210244', '12574631', '14764194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4428098769195873
- 35 USC 102 Novelty (BERT): 0.5277748684950154
- Combined Prediction Score: 0.4513063760771301
- Mean Citation Score: 206.055402
- Max Citation Score: 376.84137
- Similarity Product: 354.68472142812965

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