AI-Integrated Wearable Medical Device System for Enhanced Cardiac Event Prediction and Management
Legal Citation
Summary of the Inventive Concept
The present disclosure integrates wearable medical devices with AI, IoT, blockchain, and machine learning technologies to create a more powerful system for cardiac event prediction, notification, and treatment.
Background and Problem Solved
The original patent disclosed a modular garment for a wearable medical device, but it lacked the capabilities for real-time cardiac event prediction, secure patient data management, and personalized treatment recommendations. The present inventive concept addresses these limitations by synergistically combining distinct technologies to create a more comprehensive and effective system.
Detailed Description of the Inventive Concept
The inventive concept comprises a wearable medical device system integrating a modular garment with an AI-powered ECG analysis module for real-time cardiac event prediction and notification. The system further includes an IoT-enabled physiological sensor network for real-time patient monitoring and data analytics, a machine learning-based cardiac event risk assessment algorithm for personalized treatment recommendations, and a blockchain-based health data storage platform for secure and decentralized patient data management. The system also features a notification module for alerting the patient to wear a secondary wearable portion in response to an impending cardiac event.
Novelty and Inventive Step
The inventive concept's novelty lies in the synergistic integration of AI, IoT, blockchain, and machine learning technologies with a wearable medical device, enabling real-time cardiac event prediction, secure patient data management, and personalized treatment recommendations. The inventive step resides in the unique combination and configuration of these technologies to create a more powerful and effective system.
Alternative Embodiments and Variations
Alternative embodiments may include integrating the AI-powered ECG analysis module with other wearable medical devices, such as insulin pumps or pacemakers. Variations may also include using different machine learning algorithms or blockchain platforms to achieve similar results.
Potential Commercial Applications and Market
The inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of cardiac care, patient monitoring, and personalized medicine. The target market includes hospitals, clinics, and healthcare providers seeking to improve patient outcomes and reduce healthcare costs.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical device technology, specifically wearable cardiac monitoring and treatment systems, requiring expertise in biomedical engineering, electronic sensor design, and medical device integration
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with advanced degree, 3-5 years experience in medical device design, familiar with sensor technologies, data analytics, and medical device regulatory requirements
Obviousness Rationale
A PHOSITA would recognize that integrating AI, machine learning, and blockchain technologies with existing wearable medical device architectures represents a predictable technological evolution. The source patent's modular cardiac monitoring system provides a clear foundation for expanding functionality through emerging digital technologies. The PTD's variations represent logical extensions of existing medical device design principles using well-understood computational and networking approaches.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,329 |
|---|---|
| Title | Modular garment for a wearable medical device |
| Assignee(s) | ZOLL Medical Corporation |