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 7):
A method to detect sleep stages of a subject, the method comprising:\n providing stimuli to the subject; generating output signals conveying information related to one or more physiological parameters of the subject; analyzing, based on the one or more physiological parameters, reactions to the stimuli; generating a sleep stage estimation of the subject based on the one or more physiological parameters; determining a probability of accuracy of the sleep stage estimation; determining whether the probability of accuracy breaches a predetermined threshold; providing, responsive to the probability of accuracy failing to breach the predetermined threshold, a reassessment stimulus to the subject; analyzing a reaction to the reassessment stimulus based on one or more physiological parameters; and reassessing one or both of the sleep stage estimation 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): 0.4438201048022148
- 35 USC 102 Novelty (BERT): 0.5274218724146507
- Combined Prediction Score: 0.4521802815634584
- Mean Citation Score: 206.055402
- Max Citation Score: 376.84137
- Similarity Product: 319.84262853184464

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

Dataset: test