PATENT CLAIM ANALYSIS

Application Number: 16306020
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["340", "575000"]

Abstract:
A system configured to determine sleep need dissipation without monitoring brain activity during a sleep session. The system comprises a sensory stimulator configured to provide repetitive visual stimulation (RVS); a sensor configured to generate output signals conveying information related to brain activity; and one or more hardware processors configured to: before the sleep session, cause the one or more sensory stimulators to provide first RVS, and determine a first steady state visually evoked potential (SSVEP) response based on the output signals during the first RVS; and after the sleep session, cause the one or more sensory stimulators to provide second RVS, determine a second SSVEP response based on the output signals during the second RVS; compare the second SSVEP response to the first SSVEP response, and determine the sleep need dissipation for the sleep session based on the comparison.

Claim (Index 8):
The method of  claim 7 , wherein the one or more sensors comprise electroencephalogram (EEG) electrodes, and wherein the method further comprises coupling the EEG electrodes with the subject before and after the sleep session, but not during the sleep session.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 98.0
- Lexical Diversity: 2.5
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15531027', '14784782', '15113104', '15100435', '15533558']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.693685367274328
- 35 USC 102 Novelty (BERT): 0.5368261810174646
- Combined Prediction Score: 0.6779994486486416
- Mean Citation Score: 286.379646
- Max Citation Score: 307.87543
- Similarity Product: 185.16654716355265

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

Dataset: test