Advanced Respiratory Monitoring System with Synergistic Technologies

Publication ID: 24-11857308_0003_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Advanced Respiratory Monitoring System with Synergistic Technologies,” Published Technical Disclosure No. 24-11857308_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857308_0003_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. 11,857,308.

Summary of the Inventive Concept

An innovative system integrating bioimpedance signal-based respiratory monitoring with AI, IoT, blockchain, and nanomaterial technologies for enhanced accuracy, security, and comprehensive health monitoring.

Background and Problem Solved

The original patent addressed the need for accurate respiratory monitoring using bioimpedance signals. However, it had limitations in terms of predicting respiratory distress events, ensuring data security, and integrating with other health-related data. The new inventive concept solves these problems by combining the bioimpedance signal-based approach with AI, IoT, blockchain, and nanomaterial technologies.

Detailed Description of the Inventive Concept

The advanced respiratory monitoring system consists of a bioimpedance measurement sensor, a processing unit, and various synergistic technology modules. The AI module predicts respiratory distress events based on the respiratory flow signal generated from the bioimpedance signal. The IoT module integrates the respiratory flow signal with other health-related data from IoT devices for comprehensive health monitoring. The blockchain-based data storage module securely stores and shares the respiratory flow signal with authorized healthcare providers. The nanomaterial-based sensor module enhances the sensitivity and accuracy of the bioimpedance measurement sensor. The system enables early detection of respiratory distress events, improved health monitoring, and enhanced data security.

Novelty and Inventive Step

The new inventive concept introduces the synergistic combination of bioimpedance signal-based respiratory monitoring with AI, IoT, blockchain, and nanomaterial technologies, which provides a non-obvious and innovative solution to the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include using different types of sensors or signal processing algorithms. Variations may include integrating the system with wearable devices or mobile applications for real-time health monitoring.

Potential Commercial Applications and Market

The advanced respiratory monitoring system has significant commercial potential in the healthcare industry, particularly in hospitals, clinics, and home healthcare settings. It can also be applied in sports medicine and fitness tracking.

Field of Art

Biomedical signal processing and respiratory monitoring technologies, with expertise in bioimpedance signal analysis, medical sensor design, and digital health monitoring systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with advanced degree, proficient in signal processing algorithms, sensor technologies, and interdisciplinary medical device integration

Obviousness Rationale

A PHOSITA would recognize that the source patent's fundamental bioimpedance respiratory monitoring framework provides a clear technical foundation for integrating advanced digital technologies. The PTD's variations represent predictable extensions of existing respiratory monitoring principles using well-known technological approaches in medical device development. The combination of bioimpedance sensing with AI, IoT, and blockchain represents incremental improvements that would be obvious to a skilled practitioner seeking enhanced medical monitoring capabilities.

Obvious Combinations & Variations

Source Patent Element
Bioimpedance measurement sensor for acquiring respiratory signals
PTD Variation
Adding AI module to predict respiratory distress events from bioimpedance signals
Obviousness Reasoning
Applying machine learning to medical signal processing is a known technique for extracting predictive insights, representing a predictable technological enhancement
Source Patent Element
Processing unit for receiving bioimpedance signals
PTD Variation
Integrating IoT module to combine respiratory data with other health monitoring metrics
Obviousness Reasoning
Interconnecting medical monitoring systems is a standard approach in digital health, representing an obvious design optimization for comprehensive patient monitoring
Source Patent Element
Respiratory monitoring system with signal acquisition capabilities
PTD Variation
Implementing blockchain-based secure data storage and sharing mechanism
Obviousness Reasoning
Applying blockchain to medical data protection is a known solution for addressing healthcare data privacy challenges, representing a straightforward technological adaptation
Source Patent Element
Bioimpedance measurement sensor configuration
PTD Variation
Enhancing sensor with nanomaterial-based sensitivity improvements
Obviousness Reasoning
Utilizing nanomaterials to improve sensor performance is a predictable technological progression in medical sensing technologies
Source Patent Element
Reference measurement sensor for respiratory effort tracking
PTD Variation
Cloud-based server integration for machine learning-driven respiratory event prediction
Obviousness Reasoning
Migrating signal processing to cloud platforms with advanced analytics represents a standard technological evolution in medical monitoring systems
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857308 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed respiratory monitoring system extensions obvious and lacking inventive step. The incremental technological combinations represent predictable applications of known medical monitoring principles, thereby rendering potential derivative claims non-patentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,308
TitleSystem and method for respiratory monitoring of a subject
Assignee(s)Stichting IMEC Nederland