Intelligent Orthopedic Support System

Publication ID: 24-11857446_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Orthopedic Support System,” Published Technical Disclosure No. 24-11857446_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857446_0005_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,446.

Summary of the Inventive Concept

A wearable exoskeleton system that leverages AI, machine learning, and IoT technologies to provide real-time support and stabilization for users' lower backs, enabling safer and more efficient lifting.

Background and Problem Solved

The original orthopedic device patent, while providing support for the lower back, has limitations in terms of adaptability, customization, and real-time feedback. The new inventive concept addresses these limitations by integrating advanced technologies to create a more intelligent, personalized, and proactive support system.

Detailed Description of the Inventive Concept

The Intelligent Orthopedic Support System features a neural network-based control unit that predicts and adapts to the user's lifting patterns, a dynamically adjustable joint mechanism that provides real-time support and stabilization, and modular, 3D-printed structure that can be customized to a user's specific anatomy. The system also integrates sensors and haptic feedback to provide real-time feedback and guidance to users, enabling them to improve their lifting techniques and reduce the risk of injury. Additionally, the system includes a decentralized, blockchain-based platform for tracking and verifying orthopedic device usage, allowing for secure and transparent data sharing between users, manufacturers, and healthcare professionals.

Novelty and Inventive Step

The new inventive concept's integration of AI, machine learning, and IoT technologies, along with its modular, adaptive, and real-time feedback capabilities, represent a significant departure from the original patent's mechanical-only approach, providing a novel and non-obvious solution to the problem of lower back support.

Alternative Embodiments and Variations

Alternative embodiments of the Intelligent Orthopedic Support System could include variations in the type of AI algorithm used, the specific sensors and haptic feedback mechanisms employed, or the materials and manufacturing processes used for the modular structure. Additionally, the system could be adapted for use in other areas of the body, such as the knees or shoulders, or integrated with other wearable technologies, such as smart clothing or prosthetics.

Potential Commercial Applications and Market

The Intelligent Orthopedic Support System has significant commercial potential in industries such as healthcare, manufacturing, and logistics, where workers are at risk of lower back injuries. The system could also be marketed to individuals who engage in heavy lifting or bending activities, such as athletes or individuals with physically demanding hobbies. The decentralized, blockchain-based platform for tracking and verifying orthopedic device usage also opens up opportunities for secure and transparent data sharing and analysis in the healthcare and insurance industries.

CPC Classifications

SectionClassGroup
A A61 A61F5/0102
A A61 A61F2005/016
A A61 A61F2005/0158
A A61 A61F2005/0165

Field of Art

Orthopedic support systems and biomechanical assistive devices, with expertise in mechanical joint design, ergonomic support structures, and adaptive wearable technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or mechanical design specialist with advanced knowledge of orthopedic device engineering, familiar with mechanical joint mechanisms, materials science, and emerging assistive technology trends

Obviousness Rationale

A PHOSITA would recognize that integrating digital intelligence and adaptive technologies into mechanical orthopedic support represents a predictable evolution of existing joint-based support systems. The source patent's fundamental mechanical joint design provides a clear technological foundation for incorporating advanced sensing, machine learning, and real-time adaptation. The technical variations disclosed in the PTD represent incremental improvements that would be obvious to a skilled practitioner seeking to enhance orthopedic device functionality through contemporary digital technologies.

Obvious Combinations & Variations

Source Patent Element
Mechanical joint with positive-locking elements and adjustable joint arms
PTD Variation
Neural network-based control unit dynamically adjusting joint configuration
Obviousness Reasoning
Predictable application of machine learning to existing mechanical joint systems, representing a known technique for introducing adaptive intelligence to mechanical structures
Source Patent Element
Orthopedic device configured for body region support
PTD Variation
3D-printed modular structure customizable to individual user anatomy
Obviousness Reasoning
Obvious design optimization using emerging manufacturing technologies, applying known personalization techniques to existing orthopedic device frameworks
Source Patent Element
Mechanical joint with safety mechanisms
PTD Variation
Integrated sensors and haptic feedback for real-time user guidance
Obviousness Reasoning
Logical extension of safety mechanisms through electronic monitoring, representing a finite and predictable solution for improving user interaction and device performance
Source Patent Element
Orthopedic device with mechanical locking mechanisms
PTD Variation
Blockchain-based platform for tracking device usage and performance
Obviousness Reasoning
Obvious data management approach using contemporary digital technologies, applying known blockchain tracking methods to medical device performance monitoring
Source Patent Element
Joint mechanism for body support
PTD Variation
AI-driven predictive algorithms for lifting pattern analysis
Obviousness Reasoning
Predictable application of machine learning to biomechanical movement analysis, representing a standard approach to enhancing device intelligence
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857446 and the disclosed technical variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the integration of digital intelligence, adaptive technologies, and personalized design represents a predictable and obvious evolution of existing orthopedic support mechanisms, thereby rendering subsequent claims of novelty invalid under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,446
TitleOrthopedic device
Assignee(s)Ottobock SE & Co. KGAA