Next-Generation Diabetic Foot Care Platform

Publication ID: 24-11857303_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Diabetic Foot Care Platform,” Published Technical Disclosure No. 24-11857303_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857303_0005_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

A wearable, machine learning-driven system for predicting and preventing diabetic foot ulcers, leveraging advanced PPG signal analysis and real-time feedback to patients and healthcare providers.

Background and Problem Solved

The original patent's apparatus and method for measuring blood flow in the foot, while innovative, have limitations in detecting early signs of diabetic foot complications. The new inventive concept addresses these limitations by introducing a paradigm shift in diabetic foot care, integrating machine learning, real-time monitoring, and personalized treatment plans to prevent ulceration and improve patient outcomes.

Detailed Description of the Inventive Concept

The next-generation diabetic foot care platform comprises a wearable device with embedded PPG sensors, a machine learning module, and a notification system. The device analyzes PPG signals to identify patterns indicative of increased risk of ulceration and alerts patients or healthcare providers in real-time. The platform also integrates electronic health records, medical history, and lifestyle data to generate customized treatment plans. Additionally, the system includes a telemedicine module for remote consultations, enabling timely interventions and improved patient care.

Novelty and Inventive Step

The new claims introduce a novel combination of machine learning, real-time monitoring, and personalized treatment plans, which constitutes a significant departure from the original patent's apparatus and method. The inventive step lies in the integration of these components to create a proactive, patient-centric platform for diabetic foot care.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept may include handheld devices, smart insoles, or cloud-based analytics platforms. Variations could incorporate additional sensors, such as temperature or pressure sensors, to provide a more comprehensive picture of foot health.

Potential Commercial Applications and Market

The next-generation diabetic foot care platform has significant commercial potential in the healthcare industry, particularly in the fields of diabetes management, wound care, and telemedicine. The platform's ability to prevent ulceration, reduce healthcare costs, and improve patient outcomes positions it for widespread adoption in hospitals, clinics, and patient homes.

Field of Art

Medical device technology, specifically non-invasive blood flow measurement and diagnostic systems for diabetic foot care, requiring expertise in photoplethysmography (PPG), sensor design, machine learning, and medical signal processing

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device researcher with advanced degrees in bioengineering, electrical engineering, or medical technology, possessing knowledge of sensor integration, signal analysis, and healthcare technology development

Obviousness Rationale

A PHOSITA would recognize that extending the source patent's foot blood flow measurement apparatus to include machine learning-driven predictive analytics and personalized healthcare monitoring represents a natural technological progression. The core PPG sensing technology remains fundamentally consistent, with the primary innovation being the intelligent data processing and communication framework. The integration of electronic health records and real-time notification systems would be considered a predictable application of existing medical monitoring technologies.

Obvious Combinations & Variations

Source Patent Element
Platform with PPG sensors for measuring foot blood flow
PTD Variation
Machine learning-enabled predictive analytics platform for diabetic foot ulcer risk assessment
Obviousness Reasoning
Applying machine learning to medical sensor data is a known technique in healthcare technology, representing a predictable extension of existing diagnostic methodologies
Source Patent Element
PPG sensor sets configured to produce multiple wavelengths of light
PTD Variation
Smart insole with embedded flexible PPG sensor array for continuous monitoring
Obviousness Reasoning
Miniaturizing and integrating existing sensor technologies into wearable form factors is a standard design approach in medical device engineering
Source Patent Element
Apparatus for measuring foot blood flow with platform contact surface
PTD Variation
Telemedicine platform enabling remote consultation and data transmission
Obviousness Reasoning
Implementing wireless communication and remote monitoring for medical diagnostic devices is a well-established technological progression
Source Patent Element
Blood flow measurement method for diabetic foot complications
PTD Variation
Cloud-based analytics platform integrating PPG signals with electronic health records
Obviousness Reasoning
Aggregating and analyzing medical sensor data through cloud infrastructure represents a standard approach to enhancing diagnostic capabilities
Source Patent Element
PPG sensor configuration for measuring physiological parameters
PTD Variation
Real-time notification system alerting patients and healthcare providers
Obviousness Reasoning
Developing automated alert mechanisms for medical monitoring devices is a predictable solution for improving patient care and intervention timeliness
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857303 and the disclosed technical variations, a person of ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The combination of existing PPG sensing technologies with machine learning, telemedicine, and personalized healthcare monitoring represents a predictable application of known medical device engineering principles, thereby rendering the proposed innovations 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.