Next-Generation Non-Invasive Flow Monitoring System

Publication ID: 24-11857301_0010_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Non-Invasive Flow Monitoring System,” Published Technical Disclosure No. 24-11857301_0010_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857301_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. 11,857,301.

Summary of the Inventive Concept

A wearable, multi-spectral, and machine learning-based system for non-invasive flow monitoring, enabling real-time tracking of fluid flow properties in subsurface vasculature with unprecedented accuracy and convenience.

Background and Problem Solved

The original non-invasive flow monitoring patent, while innovative, has limitations in terms of sensor sensitivity, data processing, and user convenience. The next-generation system addresses these limitations by incorporating advanced multi-spectral sensing, machine learning-based processing, and wearable design, enabling more accurate and convenient flow monitoring in various applications.

Detailed Description of the Inventive Concept

The next-generation non-invasive flow monitoring system comprises a laser-based illumination source emitting a beam of coherent, monochromatic light, a multi-spectral sensor array detecting patterns of constructive and destructive interference in light emitted from a portion of subsurface vasculature, and a machine learning-based processing unit analyzing the detected interference pattern to determine a flow property of fluid in the portion of subsurface vasculature. The system can be integrated into a wearable device, allowing for real-time tracking of fluid flow properties in various environments. The machine learning-based processing unit enables more accurate and efficient analysis of the interference patterns, while the multi-spectral sensor array provides enhanced sensitivity and specificity.

Novelty and Inventive Step

The new claims introduce a paradigm shift in non-invasive flow monitoring by combining advanced multi-spectral sensing, machine learning-based processing, and wearable design, which is not anticipated by the original patent. The inventive step lies in the integration of these components to achieve unprecedented accuracy, convenience, and versatility in flow monitoring.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in sensor design, illumination sources, and processing algorithms. For example, the system could be adapted for use in different environments, such as in-hospital or at-home monitoring, or integrated with other sensing modalities, such as electrocardiography or photoplethysmography.

Potential Commercial Applications and Market

The next-generation non-invasive flow monitoring system has significant commercial potential in various industries, including healthcare, sports medicine, and biomedical research. The system's wearable design and real-time tracking capabilities make it an attractive solution for monitoring fluid flow properties in various applications, such as athletic performance tracking, cardiovascular disease management, and wound healing monitoring.

Field of Art

Biomedical optical sensing and non-invasive flow monitoring technologies, with expertise in laser-based interference detection, optical sensing systems, and physiological measurement techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or optical sensing specialist with advanced degree, proficient in laser optics, signal processing, machine learning, and medical device design, with knowledge of interference-based measurement techniques

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning processing and multi-spectral sensing into the existing laser-based flow monitoring framework represents a predictable technological enhancement. The core interference detection principle remains consistent with the source patent, while the proposed variations represent incremental improvements in sensing accuracy and data processing. The wearable design and machine learning analysis are natural extensions of existing non-invasive monitoring technologies.

Obvious Combinations & Variations

Source Patent Element
Coherent light beam illumination of subsurface vasculature for interference pattern detection
PTD Variation
Multi-spectral sensor array with machine learning-based processing unit for enhanced interference pattern analysis
Obviousness Reasoning
Integrating machine learning for signal processing is a known technique in optical sensing, representing a predictable improvement in data interpretation accuracy
Source Patent Element
External body surface mounting of flow monitoring device
PTD Variation
Flexible, conformable substrate enabling more adaptable wearable design
Obviousness Reasoning
Developing more ergonomic and conformable wearable devices is an obvious design optimization for medical monitoring technologies
Source Patent Element
Wavelength-specific illumination between 400-1000 nanometers
PTD Variation
Multi-spectral sensor array enabling broader wavelength range and more sophisticated interference pattern detection
Obviousness Reasoning
Expanding sensing capabilities through multi-spectral approaches is a standard engineering approach to improving measurement precision
Source Patent Element
Non-invasive flow monitoring of blood flow rate
PTD Variation
Cloud-based processing unit providing real-time feedback and remote monitoring capabilities
Obviousness Reasoning
Integrating cloud computing and remote monitoring is a predictable technological progression in medical sensing technologies
Source Patent Element
Single-wavelength interference pattern detection
PTD Variation
Calibration method using interference pattern analysis across multiple wavelengths and conditions
Obviousness Reasoning
Developing more sophisticated calibration techniques is an obvious extension of existing measurement principles
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this Published Technical Disclosure would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention, when considered in light of US Patent 11857301. The incremental technological enhancements, including multi-spectral sensing, machine learning processing, and wearable design, represent predictable variations that would be readily conceived by a skilled practitioner without requiring inventive insight beyond the existing technological framework.

Original Patent Information

Patent NumberUS 11,857,301
TitleNon-invasive flow monitoring
Assignee(s)VERILY LIFE SCIENCES LLC