PATENT CLAIM ANALYSIS

Application Number: 15949657
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["382", "128000"]

Abstract:
Disclosed are systems and methods for automated monitoring of the size, area or boundary of chronic wound images. The disclosure includes use of a probability map that measures the likelihood of wound pixels belonging to granulation, slough or eschar, which can then be segmented using any standard segmentation techniques. Measurement of the wound size, area or boundary occurs automatically and without user input related to outlining, filling in, or making measurement lines over the image on a display.

Claim (Index 16):
The method of  claim 1 , wherein determining the area of a wound comprises the processor of the smartphone:\n determining a maximum distance between two boundary pixel values; reporting the maximum distance as a length of the wound; determining a perpendicular maximum distance between two boundary pixels, wherein the perpendicular maximum distance is a maximum distance between two boundary pixels such that a straight line drawn between the two boundary pixels that form the perpendicular maximum distance would be perpendicular to a straight line drawn between the two boundary pixels that form the length of the wound; reporting the perpendicular maximum distance as a width of the wound; calculating pixel values of pixels that belong to the wound that are within the boundary of the wound; and reporting the total pixel values within the wound boundary as the area of the wound.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 91.0
- Lexical Diversity: 1.40323
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15078313', '15239486', '14528397', '16093902', '15645677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3726297050805485
- 35 USC 102 Novelty (BERT): 0.5835034748253048
- Combined Prediction Score: 0.3937170820550242
- Mean Citation Score: 279.82761
- Max Citation Score: 520.3692
- Similarity Product: 396.8008940600395

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