PATENT CLAIM ANALYSIS

Application Number: 16362755
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-08
Patent Classification: ["340", "626000"]

Abstract:
Embodiments relates to a method and apparatus for risk stratification, monitoring, detection and prediction of adverse events in bedridden people. The method and apparatus can be used to prevent heath related conditions in people.

Claim (Index 16):
A system comprising a resting device for resting a patient, the resting device comprising:\n a substrate having a contact surface for contacting the patient, one or more sacs associated with the contact surface of the substrate and containing a matrix of voxels that are able to transmit pressure using a material, one or more sensors that are incorporated in one or more voxels, and a patient recognition algorithm; wherein the system is configured to at least (a) combine information and construct the user profile, wherein the information comprises a first data from a pressure ulcer risk scale and a second data obtained via the resting device over time, and (b) automatically perform an assessment of a risk of pressure ulcer in the patient; wherein the one or more sensor are at least configured to measure changes in the one or more voxels; and wherein the patient recognition algorithm is configured to predict a risk of pressure ulcer in the patient using at least (a) sensor data obtained from the one or more sensors and (b) a pattern recognition algorithm.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 99.0
- Lexical Diversity: 1.31034
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15595599', '15583989', '14433597', '13786975', '13799828']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.635388839114094
- 35 USC 102 Novelty (BERT): 0.5579118036364005
- Combined Prediction Score: 0.6276411355663247
- Mean Citation Score: 246.316268
- Max Citation Score: 410.32962
- Similarity Product: 281.7966280860257

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