Personalized Thermal Stimulus Treatment System

Publication ID: 24-11857784_0005_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Personalized Thermal Stimulus Treatment System,” Published Technical Disclosure No. 24-11857784_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857784_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. 11,857,784.

Summary of the Inventive Concept

A next-generation thermal stimulus treatment system that leverages wearable devices, machine learning, and artificial intelligence to provide personalized, real-time optimized treatment protocols for individual subjects, revolutionizing the field of thermal stimulus treatment.

Background and Problem Solved

The original patent disclosed a method for conducting stimulus treatments, including thermal stimulus treatment, in a stimulation treatment institution. However, this approach has limitations, such as relying on pre-defined treatment schedules and lacking real-time adaptability. The new inventive concept addresses these limitations by introducing a wearable device-based system that can adapt treatment parameters in real-time, providing more effective and personalized treatment outcomes.

Detailed Description of the Inventive Concept

The system comprises a wearable device that measures physiological responses to thermal stimuli and adapts treatment parameters in real-time to optimize therapeutic efficacy for an individual subject. The wearable device is equipped with a miniaturized laser Doppler tissue blood flowmeter and machine learning-based analytics for providing personalized feedback and treatment recommendations. The system also includes a predictive modeling component that uses machine learning algorithms to forecast treatment efficacy for new subjects. Furthermore, the system incorporates a non-invasive, optically-based sensor array to measure blood flow and other physiological responses to thermal stimuli, providing real-time feedback for treatment optimization.

Novelty and Inventive Step

The new claims introduce a paradigm shift in thermal stimulus treatment by leveraging wearable devices, machine learning, and artificial intelligence to provide personalized, real-time optimized treatment protocols. This is a significant departure from the original patent, which relied on pre-defined treatment schedules and lacked real-time adaptability. The inventive step lies in the integration of these technologies to create a wearable device-based system that can adapt treatment parameters in real-time, providing more effective and personalized treatment outcomes.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different types of wearable devices, such as smartwatches or fitness trackers, or the integration of additional sensors to measure other physiological responses to thermal stimuli. Variations could also include the use of different machine learning algorithms or artificial intelligence models to optimize treatment protocols.

Potential Commercial Applications and Market

The personalized thermal stimulus treatment system has significant commercial potential in the healthcare industry, particularly in the areas of pain management, physical therapy, and wellness. The system could be marketed to hospitals, clinics, and private practices, as well as to individual consumers seeking personalized treatment options.

Field of Art

Medical technology and physiological monitoring systems, specifically thermal stimulus treatment and biometric data analysis, requiring expertise in biomedical engineering, sensor technologies, and machine learning applications in healthcare

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical technology researcher with advanced knowledge of physiological monitoring techniques, wearable sensor technologies, machine learning algorithms, and adaptive treatment protocols

Obviousness Rationale

A person of ordinary skill would recognize that integrating machine learning and real-time adaptive technologies with existing thermal stimulus treatment methods represents a predictable technological evolution. The source patent's foundational approach of measuring physiological responses during treatment naturally suggests opportunities for technological enhancement through advanced sensing and predictive analytics. The PTD's variations represent logical extensions of the existing technological framework by applying well-established machine learning and sensor miniaturization techniques to improve treatment personalization and monitoring.

Obvious Combinations & Variations

Source Patent Element
Laser Doppler tissue blood flowmeter mounted at wrist joint for measuring blood flow
PTD Variation
Miniaturized wearable device with integrated laser Doppler sensor and machine learning analytics
Obviousness Reasoning
Miniaturization of medical sensors is a known technique, and integrating machine learning with existing measurement technologies represents a predictable technological improvement
Source Patent Element
Treatment schedule based on accumulated examination data
PTD Variation
AI-driven personalized treatment protocol generation using medical history and real-time physiological responses
Obviousness Reasoning
Adaptive treatment protocols are a natural progression from static treatment schedules, utilizing machine learning to dynamically optimize patient care
Source Patent Element
Obtaining normal examination data information including heartbeat and blood flow measurements
PTD Variation
Non-invasive optical sensor array for comprehensive physiological response monitoring with real-time feedback
Obviousness Reasoning
Expanding sensor capabilities to provide more comprehensive physiological monitoring is an obvious technological enhancement within the field of medical sensing technologies
Source Patent Element
Notification system for tracking patient examination data
PTD Variation
Predictive modeling system using machine learning algorithms to forecast treatment efficacy
Obviousness Reasoning
Applying machine learning to existing data tracking and notification systems represents a straightforward technological evolution with predictable results
Source Patent Element
Stimulus treatment method with physiological monitoring
PTD Variation
Wearable device-based system for real-time treatment parameter adaptation
Obviousness Reasoning
Implementing real-time adaptive technologies in medical treatment systems is a natural progression of existing monitoring methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857784 and the disclosed technological variations, a person of ordinary skill in the art would find the claimed innovations of personalized thermal stimulus treatment systems using wearable technologies and machine learning to be obvious extensions of existing medical monitoring and treatment methodologies. The incremental technological improvements represent predictable applications of known sensor, machine learning, and adaptive treatment techniques within the medical technology domain.

Original Patent Information

Patent NumberUS 11,857,784
TitleMethod for conducting stimulus treatment