PATENT CLAIM ANALYSIS

Application Number: 16248302
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["348", "077000"]

Abstract:
A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

Claim (Index 27):
The method of  claim 22 , wherein step (c3) includes:\n when a number of the white connected components is less than a first predefined threshold and a ratio of a median size of the white connected components to a size of the wound area is greater than a second predefined threshold, the moisture level of the wound is estimated to be low; and when the moisture level of the wound is not estimated to be low, and when a standard deviation of a spatial distribution of centroids locations of the white connected components is greater than a third predefined threshold and the number of white connected components is greater than a fourth predefined threshold, the moisture level of the wound is estimated to be high.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 99.0
- Lexical Diversity: 2.06667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15394846', '15251968', '15949657', '15078313', '15645677']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5764960487062116
- 35 USC 102 Novelty (BERT): 0.5117121072827854
- Combined Prediction Score: 0.5700176545638691
- Mean Citation Score: 183.357872
- Max Citation Score: 300.98627
- Similarity Product: 276.5490183336305

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