Next-Generation Personalized Prosthetic Sleeves
Legal Citation
Summary of the Inventive Concept
A paradigm-shifting approach to prosthetic sleeve manufacturing, integrating AI-driven design optimization, adaptive materials, and real-time feedback to create bespoke, high-performance prosthetics that adapt to individual patients' needs.
Background and Problem Solved
The original patent disclosed a method for manufacturing customized sleeves for prostheses, but it has limitations in terms of material properties, design flexibility, and patient-specific adaptability. The new inventive concept addresses these limitations by introducing advanced technologies and algorithms to create a new generation of prosthetic sleeves that better meet the complex needs of patients.
Detailed Description of the Inventive Concept
The next-generation prosthetic sleeve system comprises a neural network-based design optimization module, a swarm intelligence-driven material selection algorithm, and a modular, adaptive sleeve architecture. The system uses patient-specific data, real-time sensor feedback, and machine learning to generate customized sleeve geometries, optimize material properties, and adapt to changes in the patient's limb morphology over time. The sleeve core is made of a shape-memory alloy, allowing for tunable stiffness and adaptability. The system enables remote consultation and reduces the need for in-person fittings through a virtual reality-based prosthetic fitting platform.
Novelty and Inventive Step
The new claims introduce a radical departure from the original patent by incorporating AI-driven design optimization, adaptive materials, and real-time feedback. The inventive step lies in the integration of these advanced technologies to create a holistic, patient-centric prosthetic sleeve system that surpasses the limitations of the original patent.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of other AI algorithms, such as genetic programming or fuzzy logic, to optimize sleeve design and material selection. Variations of the modular sleeve architecture could include interchangeable modules with distinct material properties and geometries, allowing for real-time reconfiguration and adaptation to changing patient needs.
Potential Commercial Applications and Market
The next-generation prosthetic sleeve system has significant commercial potential in the orthopedic and prosthetic industries, offering a competitive advantage through its adaptability, high-performance materials, and patient-centric design. The system could be marketed as a premium product, targeting high-end clinics and hospitals, as well as individual patients seeking bespoke prosthetic solutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61F2/5046 |
| B | B29 | B29C45/0053 |
| B | B29 | B29C45/14065 |
| B | B29 | B29C45/14336 |
| B | B29 | B29C65/48 |
| B | B29 | B29C66/729 |
| A | A61 | A61F2002/5053 |
| A | A61 | A61F2002/5056 |
| A | A61 | A61F2002/7837 |
| B | B29 | B29C2045/0079 |
| B | B29 | B29C2045/14155 |
| B | B29 | B29K2083/00 |
| B | B29 | B29K2105/0061 |
| B | B29 | B29L2031/7532 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical prosthetics manufacturing, specifically focusing on customized prosthetic sleeve design and fabrication, involving materials engineering, biomechanical adaptation, and advanced manufacturing techniques
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with expertise in polymer processing, prosthetic design, and advanced manufacturing techniques, possessing knowledge of materials science, computer-aided design, and medical device fabrication methods
Obviousness Rationale
A person having ordinary skill would recognize that the PTD's AI-driven design and adaptive material approaches are logical extensions of the source patent's customized sleeve manufacturing method. The fundamental process of creating patient-specific prosthetic sleeves remains consistent, with the PTD introducing predictable technological enhancements using known machine learning and materials engineering principles. The core manufacturing concept of creating a customized mold and injecting material around a preform remains substantially unchanged, with the PTD merely introducing more sophisticated optimization techniques.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,439 |
|---|---|
| Title | Method for manufacturing a customized sleeve for a prosthesis |