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 13):
A method of analyzing vascular access blood flow in hemodialysis patients, the method comprising:\n collecting a first time sequence of two-dimensional video images of an arterio-venous fistula region in the hemodialysis patient using an imaging sensor including an M\u00d7N array of pixels; performing a motion amplification process on each two-dimensional video image in the first time sequence of two-dimensional video images to produce a second time series of two-dimensional motion-amplified video images; transforming the second time series of two-dimensional motion-amplified video images into a third, one-dimensional time series of amplitudes of optic flow representing the vascular access blood flow based on a pixel-by-pixel determination of changes in intensity between consecutive two-dimensional motion-amplified video images in the second time series of two-dimensional motion-amplified video images; and estimating the vascular access blood flow based on a combination of the third one-dimensional time series of amplitudes of optic flow and at least one clinical measurement of the vascular access blood 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): 0.3414987049522832
- 35 USC 102 Novelty (BERT): 0.555002562069776
- Combined Prediction Score: 0.3628490906640325
- Mean Citation Score: 257.642472
- Max Citation Score: 457.6299
- Similarity Product: 319.5169176504493

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