Enhanced Cardiac Sensing and Therapy Delivery System

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.

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.

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.

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 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.

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.