Enhanced Cardiac Sensing and Therapy Delivery System
Legal Citation
Summary of the Inventive Concept
An adaptive cardiac sensing and therapy delivery system that utilizes machine learning algorithms to personalize therapy plans based on a patient's heart position state, activity level, and heart rate variability, ensuring more effective and efficient treatment.
Background and Problem Solved
The original patent's method for controlling delivery of anti-tachyarrhythmia shock therapy has limitations in adapting to changing patient conditions. The new inventive concept addresses these limitations by incorporating machine learning algorithms and real-time data from various sensors to optimize cardiac therapy delivery, resulting in improved patient outcomes and reduced treatment times.
Detailed Description of the Inventive Concept
The system comprises a processing circuitry that determines a patient's current heart position state using data from sensors, such as posture detectors and activity level monitors. The processing circuitry then modifies cardiac therapy or sensing parameter values based on the current heart position state. A machine learning algorithm is integrated to adaptively adjust the modification of the cardiac therapy or sensing parameter value over time, ensuring personalized and optimized treatment. The system also includes a feedback loop to adjust the modified parameter value based on the patient's response to the delivered therapy.
Novelty and Inventive Step
The new claims introduce the use of machine learning algorithms to adaptively adjust cardiac therapy or sensing parameter values, which is not present in the original patent. This novel approach enables the system to learn from patient data and optimize treatment plans, resulting in improved efficacy and efficiency.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of different types of sensors, such as ECG or blood pressure monitors, to detect heart position states. Variations of the system could also be designed for specific patient populations, such as pediatric or geriatric patients, or for use in different medical settings, such as clinics or hospitals.
Potential Commercial Applications and Market
The enhanced cardiac sensing and therapy delivery system has significant commercial potential in the medical device industry, particularly in the areas of cardiac rhythm management and electrophysiology. The system's ability to provide personalized and optimized treatment plans could lead to improved patient outcomes, reduced healthcare costs, and increased market share for manufacturers of cardiac devices.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Device Systems, Specifically Cardiac Sensing and Therapy Delivery Technologies, Requiring Advanced Biomedical Engineering and Electrical Engineering Knowledge with Expertise in Implantable Medical Device Design and Physiological Signal Processing
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer with advanced degree, specialized knowledge in cardiac medical device design, understanding of signal processing algorithms, sensor integration, and adaptive medical technology systems, with 5-7 years professional experience in medical device innovation
Obviousness Rationale
A PHOSITA would recognize that integrating machine learning algorithms into cardiac therapy delivery represents a predictable extension of existing adaptive medical device technologies. The source patent's framework of modifying therapy based on heart position states provides a clear technical foundation for introducing more sophisticated adaptive mechanisms. The proposed machine learning approach represents an incremental improvement using known computational techniques to enhance existing medical device sensing and therapy modification strategies.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,798 |
|---|---|
| Title | Modification of cardiac sensing and therapy |
| Assignee(s) | Medtronic, Inc. |