Intelligent Wearable Cardiac Monitoring and External Pacing System

Publication ID: 24-11857327_0005_PTD

Published: November 07, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Intelligent Wearable Cardiac Monitoring and External Pacing System,” Published Technical Disclosure No. 24-11857327_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857327_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. 11,857,327.

Summary of the Inventive Concept

A next-generation wearable medical device that integrates artificial intelligence, machine learning, and advanced sensing modalities to predict cardiac arrest risk, proactively initiate personalized external pacing protocols, and optimize cardiac health monitoring and treatment.

Background and Problem Solved

The original patent disclosed a non-invasive medical monitoring and treatment device with external pacing capabilities. However, it relied on manual adjustments and lacked the ability to predict cardiac arrest risk or adapt to individual patient needs. This new inventive concept addresses these limitations by incorporating AI-driven predictive analytics, real-time cardiac function monitoring, and personalized external pacing protocols to revolutionize cardiac health management.

Detailed Description of the Inventive Concept

The intelligent wearable cardiac monitoring and external pacing system comprises a wearable device with integrated AI, machine learning algorithms, and advanced sensing modalities such as ECG sensing electrodes, implantable sensors, and wearable biomarkers. The system predicts cardiac arrest risk by analyzing real-time cardiac activity data, medical history, and patient-specific physiological parameters. It then proactively initiates personalized external pacing protocols tailored to the patient's unique needs, adjusting pacing parameters in real-time to prevent cardiac arrhythmias. The system's modular architecture allows for seamless integration of new sensing modalities, ensuring adaptability and upgradeability.

Novelty and Inventive Step

The new claims introduce the innovative integration of AI, machine learning, and advanced sensing modalities, enabling real-time cardiac function monitoring, predictive analytics, and personalized external pacing protocols. This represents a significant departure from the original patent's manual adjustments and limited adaptability, providing a paradigm shift in cardiac health management.

Alternative Embodiments and Variations

Alternative embodiments could include a cloud-based cardiac health analytics platform for remote monitoring and personalized external pacing guidance, or a modular system for integrating new sensing modalities and AI-driven algorithms. Variations could include specialized devices for specific cardiac conditions, such as atrial fibrillation or heart failure.

Potential Commercial Applications and Market

The intelligent wearable cardiac monitoring and external pacing system has vast commercial potential in the medical device industry, targeting markets such as cardiac health monitoring, external pacing, and personalized medicine. Potential applications include remote patient monitoring, cardiac rehabilitation, and emergency medical response.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Medical device engineering, specifically non-invasive cardiac monitoring and external pacing technologies, with expertise in biomedical sensors, signal processing, and wearable medical electronics

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with advanced degree, 3-5 years experience in medical device design, familiar with cardiac monitoring technologies, signal processing algorithms, and wearable sensor integration

Obviousness Rationale

A person of ordinary skill would recognize that integrating artificial intelligence and machine learning into the existing external cardiac pacing framework represents a predictable technological evolution. The source patent's core technology of non-invasive cardiac monitoring provides a clear foundation for advanced algorithmic enhancements. Machine learning techniques for medical signal processing and adaptive treatment protocols were emerging technologies readily available to skilled practitioners at the time of invention.

Obvious Combinations & Variations

Source Patent Element

Non-invasive bodily-attached medical monitoring device with external pacing electrodes

PTD Variation

Adding AI-driven predictive analytics and machine learning algorithms for real-time cardiac risk assessment

Obviousness Reasoning

Applying machine learning to medical sensor data was a known technique in biomedical engineering, representing a predictable technological improvement with expected benefits of enhanced diagnostic capabilities

Source Patent Element

Processor configured to monitor cardiac activity and adjust pacing parameters

PTD Variation

Neural network-based algorithm for automatically detecting cardiac anomalies and dynamically adjusting pacing protocols

Obviousness Reasoning

Transitioning from manual parameter adjustment to automated algorithmic control was an obvious design optimization using standard machine learning techniques available in the field

Source Patent Element

External therapy electrodes for cardiac monitoring

PTD Variation

Modular architecture supporting integration of additional sensing modalities like implantable sensors and wearable biomarkers

Obviousness Reasoning

Designing extensible medical device platforms with interchangeable sensor modules was a common engineering approach for enhancing device flexibility and future-proofing technological capabilities

Source Patent Element

Patient movement monitoring to minimize pacing pulse discomfort

PTD Variation

Cloud-based analytics platform for remote monitoring and personalized treatment strategy optimization

Obviousness Reasoning

Extending local device functionality to cloud-connected platforms was a predictable technological progression in medical device design, leveraging emerging telecommunications and data processing technologies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857327 and the published technical disclosure, a person having ordinary skill in the art would find the claimed variations of integrating artificial intelligence, machine learning, and advanced sensing modalities into non-invasive cardiac monitoring devices to be obvious extensions of the prior art, representing incremental technological improvements achievable through standard engineering practices and emerging computational techniques.

Original Patent Information

Patent Number	US 11,857,327
Title	Medical monitoring and treatment device with external pacing
Assignee(s)	ZOLL Medical Corporation