Neural Stimulation System for Adaptive Bleeding Control

Publication ID: 24-11857788_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Neural Stimulation System for Adaptive Bleeding Control,” Published Technical Disclosure No. 24-11857788_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857788_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. 11,857,788.

Summary of the Inventive Concept

A next-generation bleeding control system that leverages AI, machine learning, and advanced neural interfaces to provide personalized, real-time bleeding control and prediction.

Background and Problem Solved

The original patent disclosed a system for reducing bleeding via coordinated trigeminal and vagal nerve stimulation. However, the original system had limitations in terms of its ability to adapt to individual patient needs, predict bleeding patterns, and provide real-time feedback. The new inventive concept addresses these limitations by incorporating advanced technologies to create a more sophisticated and effective bleeding control system.

Detailed Description of the Inventive Concept

The neural stimulation system for adaptive bleeding control comprises a wearable device that simultaneously stimulates both the trigeminal and vagal nerves. The wearable device is integrated with an artificial intelligence module that predicts and adapts to the patient's bleeding patterns. The system also includes a transcutaneous electrical nerve stimulation (TENS) device connected to a cloud-based server that provides real-time feedback and optimization of the stimulation protocol. Additionally, the system incorporates a neural interface device that reads and writes neural signals to and from the trigeminal and vagal nerves, connected to a machine learning algorithm that learns and adapts to the patient's neural response to bleeding. The system can also be connected to a genetic database that provides personalized stimulation protocols based on the patient's genetic profile.

Novelty and Inventive Step

The new inventive concept introduces several novel features that distinguish it from the original patent. These include the integration of AI and machine learning algorithms to predict and adapt to bleeding patterns, the use of advanced neural interfaces to read and write neural signals, and the connection to a genetic database for personalized stimulation protocols. These features provide a significant improvement over the original system and represent a non-obvious advancement in the field of bleeding control.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of neural interfaces, such as implantable devices or non-invasive brain-computer interfaces. The system could also be adapted for use in different medical settings, such as emergency response or surgical procedures. Additionally, the system could be integrated with other medical devices, such as blood glucose monitors or pacemakers, to provide a more comprehensive approach to patient care.

Potential Commercial Applications and Market

The neural stimulation system for adaptive bleeding control has significant commercial potential in the medical device industry. The system could be marketed to hospitals, emergency responders, and medical device manufacturers, with potential applications in trauma care, surgical procedures, and emergency response. The system's ability to provide personalized, real-time bleeding control and prediction could revolutionize the field of bleeding control and provide a significant competitive advantage in the market.

Field of Art

Biomedical engineering, specifically neural stimulation techniques for hemostasis and physiological control, requiring advanced knowledge of neurostimulation, electrical engineering, and medical device design

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with expertise in neural stimulation, electrical interface design, and advanced signal processing techniques, holding advanced degrees in bioengineering or related fields

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, AI, and personalized genetic analysis into the existing neural stimulation framework represents a predictable technological evolution. The core mechanism of trigeminal and vagal nerve stimulation remains consistent with the source patent, while the proposed enhancements represent incremental improvements using known computational and interface technologies. The systematic application of AI and machine learning to medical device optimization is a well-established approach in biomedical engineering.

Obvious Combinations & Variations

Source Patent Element
Non-invasive electrical stimulation system targeting trigeminal and vagal nerves
PTD Variation
Adding AI-driven predictive algorithms to optimize stimulation protocols
Obviousness Reasoning
Applying machine learning to medical device optimization is a known technique, and a PHOSITA would recognize the predictable benefit of dynamically adjusting stimulation parameters based on real-time patient data
Source Patent Element
Wearable device with electrical stimulation capabilities
PTD Variation
Integrating cloud-based server connectivity for remote monitoring and protocol adjustment
Obviousness Reasoning
Networked medical devices are a standard design approach, and extending the stimulation system's capabilities through cloud connectivity represents an obvious technological progression
Source Patent Element
Electrical nerve stimulation targeting specific nerve branches
PTD Variation
Incorporating genetic profile-based personalization of stimulation protocols
Obviousness Reasoning
Personalized medical interventions based on genetic data are an emerging standard in medical technology, and a PHOSITA would find the application of genetic insights to neural stimulation a predictable design choice
Source Patent Element
Non-invasive neural stimulation system
PTD Variation
Advanced neural interface capable of reading and writing neural signals
Obviousness Reasoning
Neural signal interpretation technologies are rapidly developing, and extending nerve stimulation devices to include bidirectional neural communication represents an incremental and obvious technological advancement
Source Patent Element
Periodic electrical stimulation for physiological modulation
PTD Variation
Machine learning algorithms for predicting bleeding risk based on neural activity patterns
Obviousness Reasoning
Predictive medical analytics using machine learning are a well-established approach, and applying such techniques to neural stimulation represents a straightforward technological extension
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857788 and the disclosed variations, a person of ordinary skill in the art would find the proposed neural stimulation system with AI-driven personalization, cloud connectivity, and advanced neural interfaces to be obvious variations that do not represent a non-obvious invention, thereby rendering potential claims in this domain unpatentable under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,788
TitleMethods and apparatuses for reducing bleeding via coordinated trigeminal and vagal nerve stimulation
Assignee(s)THE FEINSTEIN INSTITUTES FOR MEDICAL RESEARCH