Intelligent Orthopedic System with Adaptive Strap Attachment

Publication ID: 24-11857450_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Orthopedic System with Adaptive Strap Attachment,” Published Technical Disclosure No. 24-11857450_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857450_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. 11,857,450.

Summary of the Inventive Concept

The present inventive concept envisions a next-generation orthopedic system that integrates artificial intelligence, machine learning, and sensor technologies to create a personalized, adaptive, and optimized strap attachment experience for users.

Background and Problem Solved

The original patent disclosed a strap attachment assembly for orthopedic devices, which, while effective, has limitations in terms of adjustability, user comfort, and device performance. The present inventive concept addresses these limitations by introducing a dynamically adjusting strap attachment that leverages AI-driven optimization, machine learning-based personalization, and real-time sensor feedback to enhance user experience and prevent injuries.

Detailed Description of the Inventive Concept

The intelligent orthopedic system comprises a wearable device featuring a dynamically adjusting strap attachment, which is integrated with artificial intelligence to optimize strap tension based on user activity and biomechanical data. The system utilizes machine learning algorithms to predict optimal strap attachment configurations for individual users based on their anatomical features and usage patterns. Embedded sensors in the strap attachment monitor user movement and provide real-time feedback for optimizing device performance and preventing injuries. The system is modular, allowing for interchangeable strap attachments with distinct functionalities, such as adjustable tension, shock absorption, or proprioceptive feedback, to accommodate diverse user needs and preferences. A virtual reality-based training platform is also envisioned to educate users on proper strap attachment and device usage techniques.

Novelty and Inventive Step

The present inventive concept's novelty lies in the integration of AI, machine learning, and sensor technologies to create a personalized, adaptive, and optimized strap attachment experience. The inventive step is in the use of these technologies to overcome the limitations of the original patent, providing a paradigm shift in orthopedic device design and user experience.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different AI algorithms, sensor types, or modular strap attachment configurations. Variations could also include the integration of additional features, such as haptic feedback, electromyography, or biomechanical modeling, to further enhance user experience and device performance.

Potential Commercial Applications and Market

The intelligent orthopedic system has significant commercial potential in the orthopedic device market, with applications in sports medicine, physical therapy, and rehabilitation. The system's adaptability and personalization capabilities make it an attractive solution for users seeking optimized device performance and injury prevention. The market potential is substantial, with opportunities for partnerships with sports teams, medical institutions, and orthopedic device manufacturers.

CPC Classifications

SectionClassGroup
A A61 A61F5/0125
A A61 A61F2005/0144
A A61 A61F2005/0167

Field of Art

Orthopedic device design and biomechanical engineering, focusing on strap attachment systems for supportive medical devices, with expertise in mechanical design, materials science, and adaptive wearable technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or mechanical design specialist with advanced degree, 3-5 years experience in orthopedic device development, familiar with adaptive materials, sensor integration, and biomechanical optimization techniques

Obviousness Rationale

A person of ordinary skill would recognize that integrating AI and sensor technologies into the existing strap attachment framework represents a predictable technological evolution. The source patent's core mechanism of adjustable cable-based strap attachment provides a natural foundation for incorporating intelligent monitoring and adaptive capabilities. The proposed variations represent incremental improvements using well-established techniques in wearable technology and biomechanical engineering.

Obvious Combinations & Variations

Source Patent Element
Cable-based adjustable strap attachment with pivotal frame connection
PTD Variation
Adding embedded sensors to monitor cable tension and user movement
Obviousness Reasoning
Integrating sensors into existing mechanical structures is a known technique in adaptive device design, representing a predictable application of sensor technology to improve functional monitoring
Source Patent Element
Retainer mechanism for strap engagement
PTD Variation
Machine learning algorithms for dynamically adjusting strap tension based on user biomechanics
Obviousness Reasoning
Applying computational optimization to mechanical systems is a standard engineering approach, with AI representing a logical extension of existing adaptive design principles
Source Patent Element
Modular frame member design allowing strap attachment
PTD Variation
Interchangeable strap attachments with distinct functional configurations
Obviousness Reasoning
Modular design is a well-established strategy in medical device engineering, with finite predictable variations that would be obvious to a skilled practitioner
Source Patent Element
Orthopedic device with adjustable strap connection
PTD Variation
Virtual reality training platform for device usage and attachment techniques
Obviousness Reasoning
User training interfaces are a standard complementary technology in medical device ecosystems, representing an expected design enhancement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857450 and the published technical disclosure, a person of ordinary skill in orthopedic device design would find the proposed intelligent strap attachment system an obvious combination of known techniques. The incremental technological variations represent predictable applications of sensor, AI, and adaptive design principles to an existing mechanical strap attachment framework, thereby rendering potential claims of non-obviousness invalid under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,450
TitleStrap attachment and orthopedic device using the same
Assignee(s)Ossur Iceland ehf