Next-Generation Ventilation Mask System with Adaptive Oxygen Delivery and Real-Time Respiratory Data Analysis

Publication ID: 24-11857710_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Ventilation Mask System with Adaptive Oxygen Delivery and Real-Time Respiratory Data Analysis,” Published Technical Disclosure No. 24-11857710_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857710_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. 11,857,710.

Summary of the Inventive Concept

A futuristic ventilation mask system that integrates advanced gas manifold assemblies, real-time respiratory data analysis, and modular design to optimize oxygen delivery and patient care.

Background and Problem Solved

The original ventilation mask patent (FIELD OF THE INVENTION) addressed the need for supplemental gas delivery to patients with respiratory difficulties. However, the patent's design limitations, such as fixed vent openings and gas manifolds, restrict its ability to adapt to individual patient needs and real-time respiratory data. The new inventive concept addresses these limitations by introducing modular gas manifold assemblies, neural network-powered gas flow optimization, and real-time data analysis to provide personalized oxygen therapy.

Detailed Description of the Inventive Concept

The next-generation ventilation mask system comprises a modular gas manifold assembly with interchangeable gas ports, each having unique geometry and fluid dynamics profiles. The system integrates real-time respiratory data analysis using sensors and neural networks to optimize oxygen delivery based on individual patient needs. The gas manifold assembly is dynamically reconfigurable, allowing for adjustments to gas flow rates and pressures in real-time. Additionally, the system includes a wearable ventilation module, portable oxygen generator, and wireless communication module to transmit real-time data to a remote server for personalized therapy recommendations.

Novelty and Inventive Step

The new inventive concept introduces a paradigm shift in ventilation mask design by incorporating modular gas manifold assemblies, real-time data analysis, and neural network-powered optimization. These advancements provide a significant improvement over the original patent, enabling personalized oxygen therapy and real-time adaptability to patient needs.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include varying gas manifold geometries, sensor types, and neural network architectures. Additionally, the system could be integrated with other medical devices, such as ventilators or pulse oximeters, to provide a comprehensive respiratory care solution.

Potential Commercial Applications and Market

The next-generation ventilation mask system has significant commercial potential in the medical device industry, particularly in the fields of respiratory care, critical care, and emergency medicine. The system's ability to provide personalized oxygen therapy and real-time data analysis could revolutionize patient care, making it an attractive solution for hospitals, clinics, and healthcare providers.

CPC Classifications

SectionClassGroup
A A61 A61M16/085
A A61 A61B5/082
A A61 A61B5/6803
A A61 A61M16/06
A A61 A61M16/0611
A A61 A61M16/0683
A A61 A61M16/22
A A61 A61M2202/0208
A A61 A61M2205/6081
A A61 A61M2230/43

Field of Art

Respiratory medical devices, specifically ventilation masks and oxygen delivery systems, involving biomedical engineering, medical device design, and respiratory care technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or respiratory device designer with expertise in medical mask design, fluid dynamics, sensor integration, and adaptive medical technologies, typically holding a master's or doctoral degree with 3-5 years of industry experience

Obviousness Rationale

A PHOSITA would recognize that the published technical disclosure represents predictable technological extensions of the source patent's ventilation mask design, utilizing standard engineering techniques of sensor integration, modular design, and adaptive control systems that are well-established in medical device development.

Obvious Combinations & Variations

Source Patent Element
Mask body with vent opening and gas manifold assembly
PTD Variation
Adding sensor-based real-time respiratory data analysis and neural network optimization
Obviousness Reasoning
Integrating sensors and adaptive control into medical devices is a known technique for improving device performance, representing a predictable application of existing technological capabilities
Source Patent Element
Fixed gas port geometry in ventilation mask
PTD Variation
Implementing dynamically reconfigurable gas ports with interchangeable geometries
Obviousness Reasoning
Modular design and adjustable component configurations are standard design approaches in medical device engineering, representing an obvious variation to improve device flexibility
Source Patent Element
Basic ventilation mask with static oxygen delivery
PTD Variation
Adding wireless communication and remote therapy recommendation system
Obviousness Reasoning
Telemedicine and remote monitoring are well-established technological trends, making their integration into medical respiratory devices an obvious design evolution
Source Patent Element
Mask body with patient cavity and vent opening
PTD Variation
Incorporating breath analysis sensors to detect biomarkers in exhaled air
Obviousness Reasoning
Non-invasive diagnostic techniques using breath analysis are known in medical technology, representing a predictable extension of existing mask design principles
Source Patent Element
Gas manifold assembly with vectored gas ports
PTD Variation
Neural network-powered gas flow rate and pressure adjustment
Obviousness Reasoning
Adaptive control systems using machine learning are standard engineering approaches for optimizing complex technological processes, representing a predictable technological improvement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857710 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations obvious, as they represent predictable technological extensions utilizing standard engineering techniques of sensor integration, adaptive control, and modular design in medical respiratory technologies.

Original Patent Information

Patent NumberUS 11,857,710
TitleVentilation mask
Assignee(s)SunMed Group Holdings, LLC