Intelligent Cardiopulmonary Resuscitation Optimization System

Publication ID: 24-11857488_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Cardiopulmonary Resuscitation Optimization System,” Published Technical Disclosure No. 24-11857488_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857488_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. 11,857,488.

Summary of the Inventive Concept

A next-generation CPR system that leverages machine learning, real-time sensors, and dynamic support to optimize head and thorax elevation for maximizing cerebral and coronary perfusion pressures, revolutionizing the efficiency and effectiveness of CPR.

Background and Problem Solved

The original patent, 'Systems and methods for head up cardiopulmonary resuscitation', introduced a novel approach to CPR by elevating the head and thorax to improve blood flow. However, this method is limited by its reliance on manual adjustments and lack of real-time feedback. The new inventive concept addresses these limitations by integrating advanced technologies to create a more efficient, effective, and personalized CPR system.

Detailed Description of the Inventive Concept

The Intelligent Cardiopulmonary Resuscitation Optimization System comprises a wearable device with sensors to monitor vital signs and detect cardiac arrest, a control unit that adjusts the angle of elevation of the head and thorax based on real-time data, and a dynamic support system that adapts to the patient's needs. Machine learning algorithms analyze the patient's medical history to predict optimal head and thorax elevation angles, ensuring maximum cerebral and coronary perfusion pressures during CPR. The system can also be integrated with remote monitoring capabilities, allowing for real-time guidance and optimization.

Novelty and Inventive Step

The new claims introduce a paradigm shift in CPR technology by integrating machine learning, real-time sensors, and dynamic support to create a personalized and optimized CPR system. This is a significant departure from the original patent, which relied on manual adjustments and lacked real-time feedback.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include variations in sensor types, machine learning algorithms, and dynamic support systems. For example, the system could be adapted for use in different medical settings, such as ambulances or hospitals, or integrated with other medical devices, such as defibrillators or ventilators.

Potential Commercial Applications and Market

The Intelligent Cardiopulmonary Resuscitation Optimization System has significant commercial potential in the medical device industry, particularly in the fields of emergency medicine and cardiology. The system could be marketed to hospitals, ambulances, and other medical facilities, as well as to emergency medical services (EMS) providers.

CPC Classifications

SectionClassGroup
A A61 A61H31/007
A A61 A61G13/122
A A61 A61G13/129
A A61 A61G13/1215
A A61 A61G13/1225
A A61 A61G13/1255
A A61 A61G13/1285
A A61 A61H31/004
A A61 A61H31/005
A A61 A61H31/006
A A61 A61H31/008
A A61 A61H2031/001
A A61 A61H2201/0103
A A61 A61H2201/0192
A A61 A61H2201/1619
A A61 A61H2201/1623
A A61 A61H2201/1676
A A61 A61H2201/5007
A A61 A61H2201/5097
A A61 A61H2230/208
A A61 A61H2230/305

Field of Art

Medical Device Technology, Specifically Emergency Resuscitation Systems and Patient Support Platforms, requiring advanced knowledge of biomechanical engineering, medical device design, sensor integration, and machine learning applications in healthcare

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in emergency medical technologies, proficient in sensor systems, control mechanisms, and adaptive medical support platforms, holding advanced degrees and practical experience in developing patient positioning and resuscitation technologies

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and real-time sensor feedback into the existing head-up CPR elevation device represents a predictable technological evolution. The source patent's fundamental design of adjustable patient positioning provides a clear technological foundation for implementing intelligent, data-driven optimization. The proposed variations represent incremental improvements using standard engineering techniques and readily available technological components.

Obvious Combinations & Variations

Source Patent Element
Elevation device with adjustable upper support for positioning patient's head and thorax
PTD Variation
Adding real-time sensor monitoring and machine learning algorithms to dynamically adjust patient positioning
Obviousness Reasoning
Predictable application of known sensor and machine learning technologies to existing medical device platform, representing an obvious design optimization
Source Patent Element
Manual positioning of patient in specific elevation configuration
PTD Variation
Automated positioning based on real-time physiological data and predictive algorithms
Obviousness Reasoning
Routine implementation of computer-assisted control systems to replace manual interventions, using standard control engineering principles
Source Patent Element
Static elevation device for CPR support
PTD Variation
Dynamic support system with continuous adjustment capabilities based on sensor feedback
Obviousness Reasoning
Obvious extension of existing device concept using well-established adaptive control methodologies in medical device engineering
Source Patent Element
Manual chest compression techniques
PTD Variation
Integrating remote monitoring and guidance systems for CPR optimization
Obviousness Reasoning
Natural technological progression utilizing telecommunications and data transmission technologies commonly applied in medical contexts
35 U.S.C. § 103 Summary: Based on US Patent 11857488's fundamental disclosure of head-up CPR elevation techniques, the present publication demonstrates that a person of ordinary skill in the art would find the proposed machine learning-enhanced, sensor-integrated CPR optimization system an obvious technological variation, rendering potential claims in this domain anticipated and non-patentable under standard obviousness analysis.

Original Patent Information

Patent NumberUS 11,857,488
TitleSystems and methods for head up cardiopulmonary resuscitation