PATENT CLAIM ANALYSIS

Application Number: 15874991
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["702", "056000"]

Abstract:
An ultrasonic material-evaluation or classification method using spectral and envelope-statistics variables from backscattered ultrasound echo signals using an adaptive-bandwidth and combined with global variables. This classification method can be applied to any organ or tissue among biological materials and any non-biological material that produces backscattered signals as a result of microscopic internal in homogeneities such as a crystalline structure.

Claim (Index 13):
A method of classifying material comprising:\n performing an ultrasound scan of the material and receiving RF signal data, acquiring ultrasound, pulse-echo and backscattered RF signals from the material being evaluated, adapting a bandwidth over which spectral variable values are determined, wherein the bandwidth used is based on a signal to noise ratio defined as the difference between a peak amplitude of a spectral value and a noise level included in the pulse echo signals; determining spectral-variable values from the RF signals; extracting estimates of scatterer properties from said spectral-variable values; extracting additional variable values of envelope statistics of the RF signal data based on defined statistical models; applying the spectral variable values, the scatterer-property estimate values and the envelope-statistics variable values to a classifier; assigning a classifier-score value to each of a plurality of variable values, wherein each classifier-score value for each variable value combination indicates the relative likelihood of a given material property; outputting said assigned classifier score values for the material.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.27083
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14893319', '14209864', '12227697', '15511252', '11826082']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1919778788735353
- 35 USC 102 Novelty (BERT): 0.4683443148914207
- Combined Prediction Score: 0.2196145224753238
- Mean Citation Score: 175.671196
- Max Citation Score: 208.30428
- Similarity Product: 176.94632871130943

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

Dataset: test