Adaptive Orthopedic Devices with Intelligent Strap Attachments

Publication ID: 24-11857450_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Orthopedic Devices with Intelligent Strap Attachments,” Published Technical Disclosure No. 24-11857450_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857450_0010_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

This inventive concept envisions next-generation orthopedic devices that integrate machine learning, AI, and advanced materials to create intelligent strap attachments that adapt to a user's anatomy, optimize strap tension, and self-heal.

Background and Problem Solved

Current orthopedic devices rely on manual adjustments and often fail to provide optimal support, leading to discomfort, skin irritation, and limited mobility. The original patent's strap attachment design, while innovative, has limitations in terms of adjustability, comfort, and customization. This new inventive concept addresses these limitations by introducing advanced technologies to create a more personalized, efficient, and effective orthopedic solution.

Detailed Description of the Inventive Concept

The inventive concept comprises a modular, adaptive orthopedic device with interchangeable strap attachments that learn and adapt to a user's anatomy over time through machine learning algorithms. The strap attachments are designed with self-healing capabilities, using microcapsules that release a repair agent in response to damage or wear. An integrated AI-powered coach provides personalized feedback and guidance to the user based on their anatomical data and orthopedic needs. The system optimizes strap tension using sensor data to detect changes in a user's anatomy and adjusts the strap attachment accordingly. The modular design enables easy replacement and upgrade of strap attachments, which can be 3D-printed to tailor to a user's specific anatomy.

Novelty and Inventive Step

The new claims introduce the innovative combination of machine learning, AI, and advanced materials in orthopedic devices, which is not anticipated by the original patent. The self-healing strap attachment, AI-powered coach, and modular design with 3D-printed strap attachments are non-obvious advancements that significantly improve the functionality, comfort, and customization of orthopedic devices.

Alternative Embodiments and Variations

Alternative embodiments may include orthopedic devices with integrated sensors for real-time monitoring, haptic feedback systems for enhanced user experience, or biodegradable materials for environmentally friendly designs. Variations could include applications in prosthetics, exoskeletons, or wearable devices for injury prevention and rehabilitation.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the orthopedic industry, with applications in rehabilitation, injury prevention, and sports medicine. The market for advanced orthopedic devices is growing rapidly, driven by increasing demand for personalized, efficient, and effective solutions. This inventive concept is poised to revolutionize the industry by providing a new standard for orthopedic devices that adapt to the user's needs.

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 and wearable medical technologies with expertise in mechanical design, materials science, and adaptive interface 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 interface design

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and sensor-based adaptive technologies into existing orthopedic strap attachment systems represents a predictable evolution of the source patent's core mechanical attachment principles. The fundamental structural elements of strap attachment remain consistent, with the primary innovation being the addition of intelligent sensing and adaptive capabilities. These technological extensions would be considered straightforward implementations of known sensor and machine learning techniques applied to an existing mechanical framework.

Obvious Combinations & Variations

Source Patent Element
Cable-based adjustable strap attachment with pivotal frame connection
PTD Variation
AI-powered sensor-driven strap tension optimization system
Obviousness Reasoning
Predictable application of sensor technology to existing mechanical adjustment mechanism, representing a known technique for enhancing device functionality
Source Patent Element
Retainer engagement with orthopedic device frame
PTD Variation
Modular 3D-printed strap attachments with customizable geometries
Obviousness Reasoning
Obvious design variation using additive manufacturing to create patient-specific attachment interfaces, representing a standard design optimization approach
Source Patent Element
Strap connection mechanism with angular displacement capabilities
PTD Variation
Self-healing microcapsule-embedded strap attachment materials
Obviousness Reasoning
Foreseeable materials science enhancement using known encapsulation techniques to improve structural durability of existing attachment systems
Source Patent Element
Orthopedic device frame with adjustable strap connection
PTD Variation
Machine learning algorithms for anatomical adaptation of strap interfaces
Obviousness Reasoning
Straightforward application of computational learning techniques to existing mechanical adaptation principles, representing an expected technological progression
Source Patent Element
Cable routing through retainer channel
PTD Variation
Integrated AI coaching system providing biomechanical feedback
Obviousness Reasoning
Predictable extension of existing device functionality using known sensor and computational guidance technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857450 and the disclosed technological variations, a person of ordinary skill in the art would find the proposed orthopedic device innovations obvious and lacking non-obvious inventive merit. The combination of existing mechanical strap attachment principles with contemporary sensor, machine learning, and materials technologies represents a predictable technological progression that would be readily conceived by a skilled practitioner in the field of orthopedic device design.

Original Patent Information

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