Enhanced Blood Flow Measurement System for Diabetic Foot Care

Publication ID: 24-11857303_0006_PTD
Published: November 07, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Blood Flow Measurement System for Diabetic Foot Care,” Published Technical Disclosure No. 24-11857303_0006_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857303_0006_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. 11,857,303.

Summary of the Inventive Concept

An innovative system for measuring blood flow in the foot, incorporating advanced features to improve accuracy, efficiency, and patient comfort, particularly for diabetic patients.

Background and Problem Solved

The original patent disclosed an apparatus for measuring blood flow in the foot, which, although useful, had limitations in terms of accuracy and individual patient variability. The new inventive concept addresses these limitations by introducing temperature sensors, machine learning algorithms, multi-wavelength light sources, vibration generators, and neural networks to enhance blood flow measurement accuracy and provide more comprehensive insights into cardiovascular disease risk.

Detailed Description of the Inventive Concept

The enhanced system comprises a platform with a temperature sensor to correct for temperature-related variations in blood flow measurements. Additionally, the system incorporates a machine learning algorithm to correct for individual patient variability in blood flow measurements. The system also features a plurality of light sources with different wavelengths to measure blood flow and oxygen saturation simultaneously. Furthermore, a vibration generator is integrated into the platform to stimulate blood flow in the foot, operating at a frequency optimized for enhancing blood flow measurement accuracy. The system's neural network analyzes patterns in blood flow measurements to identify indicators of cardiovascular disease risk.

Novelty and Inventive Step

The new inventive concept introduces novel features that significantly improve the accuracy and efficiency of blood flow measurement in the foot, particularly for diabetic patients. The incorporation of temperature sensors, machine learning algorithms, multi-wavelength light sources, vibration generators, and neural networks provides a non-obvious solution to the limitations of the original patent, offering a more comprehensive and accurate assessment of blood flow and cardiovascular disease risk.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of sensors, such as pressure sensors or accelerometers, to further enhance blood flow measurement accuracy. Additionally, the system could be adapted for use in other parts of the body, such as the hand or arm, or integrated into wearable devices or mobile applications.

Potential Commercial Applications and Market

The enhanced blood flow measurement system has significant commercial potential in the healthcare industry, particularly in the context of diabetic foot care. The system could be marketed to hospitals, clinics, and medical research institutions, offering a more accurate and efficient means of assessing blood flow and cardiovascular disease risk. Additionally, the system could be integrated into wearable devices or mobile applications, providing a convenient and accessible means of monitoring blood flow and cardiovascular health.

Field of Art

Medical device technology for non-invasive blood flow measurement, specifically focused on diagnostic systems for diabetic foot assessment, requiring expertise in photoplethysmography (PPG), sensor integration, and biomedical signal processing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, expertise in medical instrumentation, signal processing algorithms, sensor design, and understanding of physiological measurement techniques for cardiovascular diagnostics

Obviousness Rationale

A person having ordinary skill would recognize that the published technical disclosure represents predictable variations and enhancements to the source patent's blood flow measurement apparatus. The additional features like temperature correction, machine learning algorithms, multi-wavelength sensing, and neural network analysis are logical extensions of the foundational PPG measurement technique disclosed in the original patent. These variations represent standard engineering approaches to improving medical diagnostic instrumentation through incremental technological refinements.

Obvious Combinations & Variations

Source Patent Element
Platform with PPG sets for measuring foot blood flow
PTD Variation
Adding temperature sensor to correct measurement variations
Obviousness Reasoning
Temperature compensation is a known technique in physiological measurement to improve signal accuracy, representing a predictable solution for enhancing measurement precision
Source Patent Element
Multiple PPG sets with different light wavelengths
PTD Variation
Simultaneous blood flow and oxygen saturation measurement using multi-wavelength approach
Obviousness Reasoning
Extending spectroscopic techniques to derive additional physiological parameters is a standard design approach in medical sensing technologies
Source Patent Element
Platform contact surface for foot measurement
PTD Variation
Integrating vibration generator to stimulate blood flow
Obviousness Reasoning
Mechanical stimulation to enhance physiological response is a known technique in medical diagnostics, representing an obvious method to improve measurement sensitivity
Source Patent Element
PPG measurement technique
PTD Variation
Machine learning algorithm to correct patient variability
Obviousness Reasoning
Applying statistical correction methods to medical sensor data is a standard engineering approach for improving diagnostic accuracy across variable patient populations
Source Patent Element
Blood flow measurement system
PTD Variation
Neural network analysis to identify cardiovascular disease risk patterns
Obviousness Reasoning
Implementing machine learning for pattern recognition in medical diagnostics represents a predictable technological progression in signal processing techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857303 and the published technical disclosure, a person having ordinary skill in medical device technology would find the claimed variations obvious and anticipated. The incremental enhancements represent standard engineering approaches to improving physiological measurement techniques, utilizing known methods of sensor integration, signal processing, and diagnostic algorithm development. Consequently, any patent claims substantially similar to the disclosed variations would be rendered obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,857,303
TitleApparatus and method of measuring blood flow in the foot
Assignee(s)Podimetrics, Inc.