PATENT CLAIM ANALYSIS

Application Number: 15979260
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["434", "262000"]

Abstract:
Various systems and methods are provided for injection training by collecting, processing, analyzing and displaying measured information associated with the delivery of an injection. Sensor-based measurements of a syringe's position and orientation in three-dimensional space are obtained and processed to provide metrics of a trainee's injection performance. The measurements can be combined with a digital model of a training apparatus to deliver a computer-generated, graphical depiction of the training injection, enabling visualization of the injection from perspectives unavailable in the physical world. The training injection execution, as reflected in the measured sensor-based data, can be reviewed and analyzed at times after, and in locations different than, the time and location of the training injection. Additionally, injection training data associated with multiple training injections can be aggregated and analyzed for, among other things, trends in performance.

Claim (Index 1):
An injection training system configured for training of a facial injection technique, the system comprising:\n a syringe having a syringe body and a plunger, the plunger configured to move relative to the syringe body, the syringe body comprising a proximal end and a distal end, the syringe further comprising a flange portion disposed at or near the proximal end, and a needle coupled to the distal end; a training apparatus in the form of an anatomical model of a human head configured to receive a facial training injection performed by a user using the syringe, the training apparatus comprising a layer of synthetic or simulated tissue, the needle of the syringe configured to penetrate the layer of tissue; a location sensing system including a first portion and a second portion, the first portion and the second portion working together to determine a position and orientation of the syringe needle, the first portion coupled to the syringe and configured to move with the syringe, the second portion being stationary relative to the training apparatus, wherein at least one of the first or second portion is at least configured to measure information corresponding to characteristics of a magnetic field; and a processing unit in electrical communication with the location sensing system, wherein the location sensing system is configured to determine and transmit to the processing unit information related to the position and orientation of the syringe needle, the processing unit configured to calculate the position and orientation of the syringe needle relative to the training apparatus, the determined position and orientation including at least a depth and location of the injection associated with the layer of tissue of the training apparatus, and the processing unit further configured to cause a display device to display feedback on how the user performed in the facial training injection, wherein the feedback comprises a three-dimensional graphical depiction of the training injection based at least in part on the calculated position and orientation of the syringe relative to the training apparatus, wherein the three-dimensional graphical depiction comprises a digital model of the syringe and the digital model of the training apparatus, the digital model of the training apparatus comprising a plurality of different anatomical layers.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 93.0
- Lexical Diversity: 1.86585
- Patent Class: 434.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14645997', '14230294', '14067829', '15977993', '14318368']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3270920475831121
- 35 USC 102 Novelty (BERT): 0.5912392562357883
- Combined Prediction Score: 0.3535067684483797
- Mean Citation Score: 258.442938
- Max Citation Score: 374.4817
- Similarity Product: 284.1244045136452

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