Published Technical Disclosure Archive

Neurostimulation Systems with Advanced Flexible Circuit Assemblies

Publication ID: 24-11857148_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Neurostimulation Systems with Advanced Flexible Circuit Assemblies,” Published Technical Disclosure No. 24-11857148_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857148_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. 11,857,148.

Summary of the Inventive Concept

This inventive concept discloses next-generation neurostimulation systems that integrate advanced flexible circuit assemblies with nanoscale materials, 3D-printed substrates, and machine learning algorithms to optimize treatment outcomes for neurological disorders.

Background and Problem Solved

The original patent addressed sympathetic nerve modulation using medical devices with flexible circuit assemblies. However, these devices have limitations in terms of their size, material properties, and ability to adapt to real-time neural activity feedback. The new inventive concept solves these problems by introducing advanced flexible circuit assemblies that enable more precise and personalized neural stimulation.

Detailed Description of the Inventive Concept

The neurostimulation system comprises a neural interface module, a flexible circuit assembly, and a control unit. The flexible circuit assembly integrates a nanoscale material and a 3D-printed substrate, allowing for increased precision and adaptability. The control unit adjusts stimulation parameters based on real-time neural activity feedback from the neural interface module. The system can be implanted or worn externally, and can be powered wirelessly using a power harvesting module. The system's adaptability is further enhanced by machine learning algorithms that optimize treatment outcomes.

Novelty and Inventive Step

The new inventive concept introduces several novel features, including the use of nanoscale materials, 3D-printed substrates, and machine learning algorithms to optimize treatment outcomes. These features provide a significant improvement over the original patent, enabling more precise and personalized neural stimulation.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different nanoscale materials, substrate designs, or machine learning algorithms. Additionally, the system could be adapted for use in other medical applications, such as cardiac rhythm management or neuromuscular therapy.

Potential Commercial Applications and Market

The neurostimulation system has significant commercial potential in the medical device industry, particularly in the areas of neurological disorder treatment and neural modulation. The system's adaptability and precision make it an attractive solution for patients and healthcare providers seeking more effective treatment options.

CPC Classifications

SectionClassGroup
A A61 A61B18/1492
A A61 A61F7/007
A A61 A61F7/123
H H05 H05K1/028
A A61 A61B2018/0016
A A61 A61B2018/0022
A A61 A61B2018/00404
A A61 A61B2018/00434
A A61 A61B2018/00511
A A61 A61B2018/00577
A A61 A61B2018/00797
A A61 A61B2018/00815
A A61 A61B2018/1465
A A61 A61B2018/1467
A A61 A61B2018/1475
A A61 A61F2007/126

Field of Art

Medical device engineering, specifically neural interface technologies, neurostimulation systems, and flexible circuit assemblies for biomedical applications. Requires expertise in electrical engineering, materials science, biomedical engineering, and advanced circuit design

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in biomedical engineering or electrical engineering, experienced in medical device design, flexible circuit technologies, neural interface development, and familiarity with miniaturized electronic systems for medical interventions

Obviousness Rationale

A PHOSITA would recognize that the PTD's neurostimulation system represents a predictable extension of the source patent's flexible circuit assembly technology. The core technical elements of flexible circuits, electrode configurations, and medical device integration are fundamentally consistent between the source patent and PTD. The additional machine learning and nanoscale material innovations represent incremental improvements using known techniques in neural interface design.

Obvious Combinations & Variations

Source Patent Element
Flexible circuit assembly with multiple electrodes positioned on a medical device
PTD Variation
Integrating nanoscale materials and 3D-printed substrates into flexible circuit assemblies for neural interfaces
Obviousness Reasoning
Material substitution and substrate manufacturing techniques are well-known design choices in medical electronics, representing predictable variations that a PHOSITA would find obvious
Source Patent Element
Catheter-based medical device with configurable electrode positioning
PTD Variation
Neural interface module with dynamically adjustable stimulation parameters using machine learning algorithms
Obviousness Reasoning
Adaptive stimulation protocols are a known technique in neural modulation, and integrating machine learning represents an obvious technological progression for medical device optimization
Source Patent Element
Flexible circuit assembly with bipolar electrode configurations
PTD Variation
Wireless power harvesting and cloud-based analytics platform for neural data processing
Obviousness Reasoning
Wireless power transfer and cloud-based medical data analytics are established technologies that a PHOSITA would find straightforward to integrate with existing neural interface designs
Source Patent Element
Medical device with configurable electronic components
PTD Variation
Mobile application for patient-controlled stimulation settings and treatment tracking
Obviousness Reasoning
Patient interface technologies and personalized medical device control are predictable extensions of existing medical electronics design principles
Source Patent Element
Flexible circuit assembly for medical interventions
PTD Variation
Artificial intelligence algorithms for predicting neurological disorder onset
Obviousness Reasoning
Predictive diagnostic techniques using machine learning are a known approach in medical technology, representing an obvious application of existing computational methods
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857148 and the comprehensive technical disclosure herein, a person having ordinary skill in the art would find the claimed neurostimulation system variations obvious and anticipated. The disclosed innovations represent predictable combinations of known medical device design techniques, material substitutions, and computational methodologies that do not rise to the level of non-obvious technological advancement.

Original Patent Information

Patent NumberUS 11,857,148
TitleMedical devices with flexible circuit assemblies
Assignee(s)Boston Scientific Scimed, Inc.