Advanced Ultrasonic Detection System for Next-Generation Device Distraction
Legal Citation
Summary of the Inventive Concept
A novel system utilizing machine learning and neural networks to detect device distraction in real-time, enabling personalized and precise treatment of skeletal system disorders.
Background and Problem Solved
The original patent disclosed systems and methods for ultrasonic detection of device distraction, but it relied on manual detection and lacked real-time analysis. This new inventive concept addresses these limitations by introducing advanced machine learning algorithms and neural networks to detect anomalies indicative of device distraction, providing a more accurate and efficient solution.
Detailed Description of the Inventive Concept
The advanced ultrasonic detection system consists of a handheld ultrasonic probe, a processing unit, and a database of subject-specific ultrasonic signal patterns. The probe transmits ultrasonic signals and receives echoes, which are then analyzed by the processing unit using machine learning algorithms to detect anomalies indicative of device distraction. The system can generate 3D point clouds of a subject's skeletal system, enabling real-time analysis and personalized treatment. The neural network is trained on a dataset of ultrasonic signals to detect anomalies, ensuring high accuracy and efficiency.
Novelty and Inventive Step
The use of machine learning algorithms and neural networks to detect device distraction in real-time, combined with the ability to generate 3D point clouds and perform personalized analysis, represents a significant departure from the original patent and provides a novel solution to the problem of device distraction detection.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, such as deep learning or reinforcement learning, or the integration of additional sensors, such as accelerometers or gyroscopes, to enhance the accuracy of the system. Variations could also include the development of specialized probes for specific skeletal system disorders or the creation of a cloud-based platform for remote analysis and treatment.
Potential Commercial Applications and Market
The advanced ultrasonic detection system has significant commercial potential in the medical device industry, particularly in the treatment of skeletal system disorders such as limb lengthening and osteogenesis. The system's ability to provide real-time analysis and personalized treatment could revolutionize the field, offering a more accurate and efficient solution for patients and healthcare professionals alike.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B17/7216 |
| A | A61 | A61B17/68 |
| A | A61 | A61B17/7016 |
| A | A61 | A61B90/06 |
| A | A61 | A61B17/702 |
| A | A61 | A61B17/7008 |
| A | A61 | A61B17/7068 |
| A | A61 | A61B2017/681 |
| A | A61 | A61B2090/061 |
| A | A61 | A61B2090/3925 |
| A | A61 | A61B2090/3929 |
| Y | Y10 | Y10T29/49963 |
| Y | Y10 | Y10T29/49966 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device engineering, specifically orthopedic surgical technologies focused on skeletal system interventions and diagnostic imaging techniques
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in ultrasonic imaging, machine learning applications in medical diagnostics, and orthopedic surgical technologies, holding advanced degrees in bioengineering or medical engineering with 3-5 years of specialized experience
Obviousness Rationale
A PHOSITA would recognize that applying machine learning techniques to ultrasonic detection of device distraction represents a predictable extension of existing medical imaging technologies. The combination of neural network analysis with ultrasonic imaging provides a natural progression in diagnostic precision, leveraging well-established machine learning approaches to enhance existing medical device monitoring techniques. The technical variations disclosed demonstrate incremental improvements that would be obvious to a skilled practitioner seeking more advanced diagnostic capabilities.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,226 |
|---|---|
| Title | Systems and methods for ultrasonic detection of device distraction |
| Assignee(s) | NuVasive Specialized Orthopedics, Inc. |