PATENT CLAIM ANALYSIS

Application Number: 15923225
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["382", "128000"]

Abstract:
A system and method for contactless blood pressure determination. The method includes: receiving a captured image sequence; determining, using a trained hemoglobin concentration (HC) changes machine learning model, bit values from a set of bitplanes in the captured image sequence that represent the HC changes of the subject; determining a blood flow data signal; extracting one or more domain knowledge signals associated with the determination of blood pressure; building a trained blood pressure machine learning model with a blood pressure training set, the blood pressure training set including the blood flow data signal of the one or more predetermined ROIs and the one or more domain knowledge signals; determining, using the blood pressure machine learning model trained with a blood pressure training set, an estimation of blood pressure; and outputting the determination of blood pressure.

Claim (Index 24):
The system of  claim 23 , wherein determining the phase profile by the profile module comprises determining a beat profile, the beat profile comprising a plurality of beat signals based on a Doppler or an interference effect.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 2.39683
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15923242', '15761891', '16076522', '16076492', '14969300']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3503639437504814
- 35 USC 102 Novelty (BERT): 0.5361550408548837
- Combined Prediction Score: 0.3689430534609216
- Mean Citation Score: 277.991468
- Max Citation Score: 394.2462
- Similarity Product: 222.8634477303385

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