PATENT CLAIM ANALYSIS

Application Number: 15956086
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["382", "131000"]

Abstract:
Systems and methods are provided for assessing patient blood flow using video image processing. According to one aspect, a method of analyzing at least one blood flow characteristic of a patient includes capturing a video including a plurality of frames of an arterio-venous (AV) fistula on the patient; amplifying motion in the video to produce a motion-amplified video; determining a difference in intensity between consecutive frames in the motion-amplified video to produce a time-function of an amplitude of the optic flow representing movement in an area of interest on the patient; and determining the at least one blood flow characteristic of the patient based on the time-function.

Claim (Index 16):
A medical imaging system for analyzing at least one blood flow characteristic of a patient comprising:\n an imaging sensor constructed to capture video comprising a plurality of frames of an arterio-venous (AV) fistula on the patient; at least one processor coupled to the imaging sensor, the at least one processor configured to:\n receive the video from the imaging sensor; \n amplify motion in the video to produce a motion-amplified video; \n determine a difference in intensity between consecutive frames in the motion-amplified video to produce a time-function of an amplitude of optic flow representing movement in an area of interest on the patient; and \n determine the at least one blood flow characteristic of the patient based on the time-function of the amplitude of optic flow.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 1.94915
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15340490', '12399792', '14023383', '12303137', '11425106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3422662950339774
- 35 USC 102 Novelty (BERT): 0.5532169969862575
- Combined Prediction Score: 0.3633613652292054
- Mean Citation Score: 257.642472
- Max Citation Score: 457.6299
- Similarity Product: 307.1011148740947

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

Dataset: test