PATENT CLAIM ANALYSIS

Application Number: 15965706
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["600", "449000"]

Abstract:
The hand-held device detects the distance between a muscle and an outer skin layer in a body by impacting the outer surface of the skin and detecting the distance to the muscle from that point of engagement. The device includes a first end including a force sensor configured to detect the force of an impact of the first end to an associated body part. The device further includes a distance sensor provided at the first end configured to detect the distance between a skin outer layer and a muscle; and a main body configured to receive a hand. The detection device includes a controller and processor to detect the impact force and distance between the skin outer layer and muscle at engagement. The device may be used to determine muscle depth and/or location in connection with the prescription and/or administration of anaphylaxis medications by auto injector.

Claim (Index 2):
The method of  claim 1 , further comprising:\n prescribing needle length of an injection device, comprising:\n comparing the calculated depth to muscle (d m ) to a distance (d s ) corresponding to a value for a pre-selected needle length and, \n selecting a needle length or injection device.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 91.0
- Lexical Diversity: 2.4127
- Patent Class: 600.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14564793', '16071203', '14067829', '14595972', '14318368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4739127451752833
- 35 USC 102 Novelty (BERT): 0.5082722026270975
- Combined Prediction Score: 0.4773486909204647
- Mean Citation Score: 177.73368000000005
- Max Citation Score: 295.95148
- Similarity Product: 183.0379624488616

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