Adaptive Cardiac Therapy with Real-time Heart Position State Detection

Publication ID: 24-11857798_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Adaptive Cardiac Therapy with Real-time Heart Position State Detection,” Published Technical Disclosure No. 24-11857798_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857798_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. 11,857,798.

Summary of the Inventive Concept

This inventive concept envisions a next-generation cardiac sensing and therapy system that dynamically adjusts therapy parameters based on real-time heart position state data, leveraging machine learning and artificial intelligence to optimize patient outcomes.

Background and Problem Solved

The original patent disclosed a method for controlling delivery of anti-tachyarrhythmia shock therapy based on heart position states. However, this approach has limitations in terms of real-time adaptability and personalization. The new inventive concept addresses these limitations by integrating machine learning engines, wearable devices, and neural networks to provide a more adaptive and effective cardiac therapy system.

Detailed Description of the Inventive Concept

The system comprises a cardiac sensing module, a therapy delivery module, and a machine learning engine that dynamically adjusts cardiac therapy parameters based on real-time heart position state data and patient-specific machine learning models. The system can utilize wearable devices to track patient heart position states and wirelessly transmit the data to an implantable medical device, which adjusts cardiac therapy parameters in real-time. Additionally, the system can employ neural networks trained on patient heart position states, cardiac therapy outcomes, and patient-specific characteristics to predict optimal cardiac therapy parameters for a given heart position state.

Novelty and Inventive Step

The new inventive concept introduces the use of machine learning engines, wearable devices, and neural networks to provide real-time adaptability and personalization in cardiac therapy, which is not present in the original patent. The integration of these technologies enables a more effective and efficient cardiac therapy system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of swarm intelligence, where multiple micro-sensors implanted in the patient's heart collectively provide real-time heart position state data to an external controller. Another variation could involve the use of genetic algorithms to optimize cardiac therapy parameters for each heart position state.

Potential Commercial Applications and Market

The adaptive cardiac therapy system has significant commercial potential in the medical device industry, particularly in the areas of cardiac rhythm management and cardiovascular disease treatment. The system's ability to provide personalized and real-time cardiac therapy could lead to improved patient outcomes, reduced healthcare costs, and increased market share for companies that adopt this technology.

Field of Art

Medical Device Systems, Cardiac Sensing and Therapy, Implantable Medical Devices (IMDs), Biomedical Engineering with specialization in Cardiac Monitoring and Intervention Technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, expertise in cardiac sensing technologies, familiarity with adaptive medical device systems, understanding of signal processing, machine learning applications in medical contexts, and knowledge of implantable medical device design principles

Obviousness Rationale

A PHOSITA would recognize that the PTD's machine learning and adaptive cardiac therapy approach represents a predictable technological evolution of the source patent's cardiac sensing methodology. The core concept of dynamically adjusting cardiac therapy parameters based on patient state is inherently present in the source patent, with the PTD merely introducing contemporary machine learning techniques as an implementation strategy. The integration of wearable devices and neural networks represents an incremental technological advancement that would be obvious to a skilled practitioner seeking to enhance cardiac therapy precision.

Obvious Combinations & Variations

Source Patent Element
Method for controlling delivery of anti-tachyarrhythmia shock therapy based on heart position states
PTD Variation
Using machine learning neural networks to predict and adjust cardiac therapy parameters for different heart position states
Obviousness Reasoning
Known technique of applying machine learning to medical device optimization, predictable result of improved therapy personalization
Source Patent Element
Implantable medical device system with multiple electrodes for cardiac sensing
PTD Variation
Incorporating wearable external devices to wirelessly transmit heart position state data to the implantable device
Obviousness Reasoning
Predictable extension of existing telemetry technologies, design choice for enhanced data collection
Source Patent Element
Cardiac sensing method considering patient posture and respiratory characteristics
PTD Variation
Implementing genetic algorithms to optimize therapy parameters across different heart position states
Obviousness Reasoning
Known optimization technique in medical device design, finite set of potential improvement strategies
Source Patent Element
Implantable cardioverter-defibrillator with lead-based electrode configuration
PTD Variation
Micro-sensor swarm providing distributed real-time heart position state monitoring
Obviousness Reasoning
Predictable technological progression in sensor miniaturization and distributed sensing technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857798 and the published technical disclosure, a person of ordinary skill in the art would find the claimed variations of adaptive cardiac therapy using machine learning, wearable devices, and neural network optimization to be obvious extensions of existing cardiac sensing and therapy methodologies. The disclosed variations represent predictable technological improvements utilizing known techniques in signal processing, machine learning, and medical device design.

Original Patent Information

Patent NumberUS 11,857,798
TitleModification of cardiac sensing and therapy
Assignee(s)Medtronic, Inc.