Adaptive Triple Flexion System

Publication ID: 24-11857395_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Triple Flexion System,” Published Technical Disclosure No. 24-11857395_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857395_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. 11,857,395.

Summary of the Inventive Concept

A wearable device that dynamically adjusts flexion assistance for individuals with lower extremity paralysis, incorporating real-time gait pattern detection, haptic feedback, and neural interface control to enhance joint stability and proprioception.

Background and Problem Solved

The original triple flexion device, while providing a wearable solution for facilitating hip, knee, and ankle flexion, has limitations in adapting to individual users' needs and gait patterns. The new inventive concept addresses these limitations by integrating advanced sensors, machine learning algorithms, and haptic feedback to provide a more personalized and effective flexion assistance system.

Detailed Description of the Inventive Concept

The adaptive triple flexion system consists of a wearable device with a sensor module for detecting a user's gait patterns, a controller for adjusting the tension of at least three elastic bands in response to the detected patterns, and a haptic feedback system for providing tactile cues to the user. The system may also incorporate a neural interface system for detecting the user's neural signals and translating them into flexion assistance commands. Additionally, the device may include interchangeable flexion modules for different joints and a universal control system for coordinating the modules and providing personalized flexion assistance.

Novelty and Inventive Step

The new claims introduce a paradigm shift in wearable flexion assistance devices by incorporating advanced sensors, machine learning algorithms, and haptic feedback to provide real-time adaptive assistance. The neural interface system and interchangeable flexion modules further distinguish the new inventive concept from the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the adaptive triple flexion system may include using different types of sensors, such as electromyography or inertial measurement units, or incorporating additional features like muscle stimulation or electrical stimulation therapy. Variations of the device may also be designed for specific user groups, such as athletes or individuals with neurological disorders.

Potential Commercial Applications and Market

The adaptive triple flexion system has significant commercial potential in the healthcare and rehabilitation industries, particularly in the treatment of lower extremity paralysis. The device may also be marketed to athletes and individuals seeking to improve their joint stability and proprioception.

CPC Classifications

SectionClassGroup
A A61 A61F5/0113
A A61 A61F5/0102
A A61 A61F5/0106

Field of Art

Assistive medical devices for joint mobility, specifically wearable orthotic systems for lower extremity mobility assistance, focusing on biomechanical engineering and rehabilitation technology

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or rehabilitation technology specialist with expertise in orthotic design, biomechanical analysis, sensor integration, and adaptive assistive technologies, holding at least a master's degree with 3-5 years of practical experience

Obviousness Rationale

A PHOSITA would recognize that adding sensor-based adaptive control and neural interface technologies to a basic triple flexion assistance device represents a predictable technological evolution. The core mechanical principles of joint assistance remain consistent, with the primary innovation being the integration of intelligent control systems to enhance device responsiveness and personalization. These modifications represent incremental improvements using known techniques in sensor integration and adaptive control systems.

Obvious Combinations & Variations

Source Patent Element
V-shaped belt with adjustable elastic bands for joint flexion assistance
PTD Variation
Adding sensor-based tension adjustment for dynamic elastic band control
Obviousness Reasoning
Predictable application of sensor feedback to modify existing mechanical flexion assistance mechanism, representing a known technique in adaptive assistive technologies
Source Patent Element
Static joint flexion device for lower extremity mobility
PTD Variation
Incorporating machine learning algorithms for personalized gait pattern recognition and assistance
Obviousness Reasoning
Applying well-established machine learning techniques to improve biomechanical assistance represents an obvious design optimization using known computational methods
Source Patent Element
Wearable joint flexion device with mechanical components
PTD Variation
Neural interface system for translating brain signals into flexion assistance commands
Obviousness Reasoning
Integrating brain-computer interface technologies with existing assistive devices is a foreseeable technological progression in rehabilitation engineering
Source Patent Element
Fixed configuration joint assistance device
PTD Variation
Modular design with interchangeable flexion modules for different joint configurations
Obviousness Reasoning
Developing modular medical devices is a standard design approach for increasing adaptability and user customization, representing an obvious engineering solution
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857395 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed adaptive triple flexion system obvious, as the proposed modifications represent predictable technological extensions utilizing known sensor integration, machine learning, and neural interface techniques within the established framework of joint mobility assistance devices.

Original Patent Information

Patent NumberUS 11,857,395
TitleTriple flexion device