Adaptive Orthopedic Systems for Real-Time Biomechanical Support
Legal Citation
Summary of the Inventive Concept
A next-generation orthopedic device that leverages AI, machine learning, and advanced materials to provide real-time, adaptive support and stabilization to users, revolutionizing the field of orthopedics and beyond.
Background and Problem Solved
The original patent, 'Orthopedic device', addresses the need for support during lifting and bending. However, it has limitations in terms of adaptability, user interface, and predictive capabilities. The new inventive concept addresses these limitations by introducing AI-powered, modular, and neural interface-enabled orthopedic systems that can adapt to a user's real-time biomechanical needs, preventing injuries and optimizing performance.
Detailed Description of the Inventive Concept
The new inventive concept comprises a wearable orthopedic system featuring a modular, AI-powered spine support module that adapts to a user's real-time biomechanical needs. This is achieved through a neural interface for seamless communication with the user's nervous system. Additionally, the system incorporates machine learning algorithms and real-time user data to generate personalized, 3D-printed orthopedic devices with dynamic, self-adjusting support structures. The system also includes an intelligent, soft-exoskeleton orthopedic device utilizing advanced, electroactive polymers to provide real-time, adaptive support and stabilization to a user's joints. Furthermore, the system integrates with a biomechanical, predictive analytics platform that forecasts and prevents injuries, providing personalized, real-time recommendations for optimal user performance. The system can also be modular, comprising a swarm of micro-robots that collectively provide dynamic, real-time support and stabilization to a user's joints, powered by advanced, energy-harvesting technology.
Novelty and Inventive Step
The new claims introduce a paradigm shift in orthopedic devices by incorporating AI, machine learning, and advanced materials to provide real-time, adaptive support and stabilization. The inventive step lies in the integration of these technologies to create a wearable, modular, and neural interface-enabled system that can adapt to a user's real-time biomechanical needs, making the original inventive concept obsolete.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include variations in the type of AI algorithms used, the materials employed for the orthopedic devices, or the integration with different wearable technology ecosystems. Additionally, the system could be adapted for use in various industries, such as healthcare, sports, or manufacturing.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the orthopedic device market, estimated to reach $10.2 billion by 2025. The system's adaptability, predictive capabilities, and real-time support make it an attractive solution for industries such as healthcare, sports, and manufacturing, where worker safety and performance are critical. Furthermore, the system's integration with wearable technology ecosystems and AI-powered analytics platforms opens up opportunities for partnerships and collaborations with leading technology companies.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61F5/0102 |
| A | A61 | A61F2005/016 |
| A | A61 | A61F2005/0158 |
| A | A61 | A61F2005/0165 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Orthopedic biomechanical support systems, focusing on wearable devices for spine and joint stabilization, requiring expertise in mechanical engineering, biomechanics, materials science, and adaptive medical technologies
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or mechanical engineer with advanced degrees, specialized knowledge in orthopedic device design, familiarity with adaptive materials, neural interfaces, and biomechanical support technologies
Obviousness Rationale
A PHOSITA would recognize that the source patent's foundational orthopedic joint support design naturally invites technological enhancement through emerging AI, machine learning, and adaptive materials technologies. The fundamental mechanical principles of joint support established in US 11857446 provide a clear technological framework that would motivate incremental innovations in real-time biomechanical adaptation. Given the rapid convergence of medical device technologies with computational intelligence, a skilled practitioner would find the PTD's neural interface and machine learning extensions a predictable evolutionary step in orthopedic device design.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,446 |
|---|---|
| Title | Orthopedic device |
| Assignee(s) | Ottobock SE & Co. KGAA |