PATENT CLAIM ANALYSIS

Application Number: 16221340
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["600", "549000"]

Abstract:
One variation of a method for detecting inflammation in a foot includes: accessing a first temperature measured through a left temperature sensor and a second temperature measured through a right temperature sensor at approximately a first time, the left temperature sensor arranged in a left sock and the right temperature sensor arranged in a right sock worn on the user's feet; calculating a baseline difference between the first and second temperatures based on confirmation of absence of inflammation in the user's left and right feet at the first time; accessing a third temperature measured through the left temperature sensor and a fourth temperature measured through the right temperature sensor at approximately a second time; and in response to a second temperature difference between the third and fourth temperatures differing from the baseline difference by more than a threshold difference, issuing an alarm through the user interface.

Claim (Index 22):
The method of  claim 21 , further comprising receiving an indication from one or more proximity sensors that at least one of the first garment is removed from the first foot and the second garment is removed from the second foot.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 2.67241
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15382248', '15151557', '13799828', '13803866', '12674405']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4154638733818953
- 35 USC 102 Novelty (BERT): 0.5206636599850877
- Combined Prediction Score: 0.4259838520422145
- Mean Citation Score: 135.43807800000002
- Max Citation Score: 252.92642
- Similarity Product: 157.40618894425631

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

Dataset: test