Synergistic Non-Invasive Flow Monitoring Systems

Publication ID: 24-11857301_0003_PTD

Published: November 07, 2025

Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Non-Invasive Flow Monitoring Systems,” Published Technical Disclosure No. 24-11857301_0003_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857301_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. 11,857,301.

Summary of the Inventive Concept

A novel, more powerful system integrating non-invasive flow monitoring with distinct technologies such as AI, IoT, blockchain, and new materials to provide enhanced real-time fluid flow analysis, secure data transmission, and personalized health recommendations.

Background and Problem Solved

The original patent disclosed a non-invasive flow monitoring device utilizing coherent illumination. However, it had limitations in terms of real-time analysis, data security, and user feedback. The new inventive concept addresses these limitations by combining the original device with AI, IoT, blockchain, and new materials to create a more comprehensive and user-centric system.

Detailed Description of the Inventive Concept

The synergistic system comprises a non-invasive flow monitoring device integrated with an AI-powered machine learning algorithm to predict flow patterns in real-time. The system also incorporates an IoT-enabled sensor network to track fluid flow patterns, a microfluidic component for real-time analysis of fluid properties, and a blockchain-enabled data encryption mechanism to ensure secure transmission of sensitive patient data. Furthermore, the system includes a wearable device with a new material-based flexible sensor, providing haptic feedback to the user. The AI algorithm utilizes historical data and sensor input to improve accuracy, while the IoT sensor network communicates with a cloud-based analytics platform to provide personalized health recommendations.

Novelty and Inventive Step

The new claims introduce novel combinations of technologies, such as AI-powered machine learning, IoT-enabled sensor networks, blockchain-enabled data encryption, and new material-based flexible sensors, which are not obvious from the original patent. The integration of these distinct technologies creates a more powerful and comprehensive system for non-invasive flow monitoring.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in the type of AI algorithm used, the specific IoT sensor network architecture, the type of new material used for the flexible sensor, or the incorporation of additional technologies such as augmented reality or 5G connectivity.

Potential Commercial Applications and Market

The synergistic non-invasive flow monitoring system has significant commercial potential in the healthcare industry, particularly in applications such as cardiovascular disease diagnosis, personalized medicine, and remote patient monitoring. The system's ability to provide real-time analysis, secure data transmission, and personalized health recommendations makes it an attractive solution for healthcare providers and patients alike.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical engineering and non-invasive medical diagnostics, specifically focused on optical flow monitoring techniques for subsurface vasculature analysis

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with expertise in optical sensing, signal processing, and medical instrumentation, holding at least a master's degree with 3-5 years of experience in developing non-invasive diagnostic technologies

Obviousness Rationale

A person of ordinary skill would recognize that integrating advanced computational and communication technologies with the foundational optical flow monitoring technique disclosed in the source patent represents a predictable extension of existing medical diagnostic approaches. The core illumination and interference detection method remains fundamentally unchanged, while the added technologies provide incremental improvements in data processing, transmission, and user interaction. These technological integrations would be considered routine optimization and combination of known techniques within the medical device engineering domain.

Obvious Combinations & Variations

Source Patent Element

Coherent light illumination for detecting subsurface vasculature flow patterns

PTD Variation

Adding AI-powered machine learning algorithm to predict and analyze flow patterns

Obviousness Reasoning

Applying machine learning to medical sensor data is a well-established technique for improving diagnostic accuracy, representing a predictable application of known computational methods to existing sensing technology

Source Patent Element

External body surface mounting of flow monitoring device

PTD Variation

Incorporating IoT-enabled sensor network and cloud-based analytics platform

Obviousness Reasoning

Extending medical devices with networked communication and remote monitoring is a standard approach in modern medical technology, offering predictable improvements in data collection and patient management

Source Patent Element

Light wavelength between 400-1000 nanometers for subsurface illumination

PTD Variation

Adding blockchain-enabled data encryption for secure patient data transmission

Obviousness Reasoning

Implementing enhanced data security protocols is a routine design choice for medical devices handling sensitive patient information, representing an obvious improvement to existing technological systems

Source Patent Element

Non-invasive flow monitoring device detecting interference patterns

PTD Variation

Integrating microfluidic component for real-time fluid property analysis

Obviousness Reasoning

Combining optical flow monitoring with microfluidic analysis represents a logical extension of medical diagnostic techniques, utilizing known methodologies to provide more comprehensive diagnostic information

Source Patent Element

Wrist-mounted flow monitoring device

PTD Variation

Developing flexible sensor with haptic feedback using advanced materials

Obviousness Reasoning

Creating more ergonomic and interactive medical devices through material science and user interface innovations is a predictable progression in medical device design

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed in this publication would be considered obvious to a person having ordinary skill in the art at the time of invention, when viewed in light of US Patent 11857301. The incremental technological integrations represent routine optimization and combination of known techniques within the medical device engineering domain, lacking the requisite non-obviousness for patent protection.

Original Patent Information

Patent Number	US 11,857,301
Title	Non-invasive flow monitoring
Assignee(s)	VERILY LIFE SCIENCES LLC