Adaptive Cardiac Sensing and Therapy Based on Real-time Patient Data

This inventive concept introduces an advanced cardiac sensing and therapy system that dynamically adjusts therapy parameters and electrode vectors based on real-time patient activity data, machine learning algorithms, and personalized therapy recommendations from a remote server.

The original patent disclosed a cardiac sensing and therapy system that delivered anti-tachyarrhythmia shock therapy based on a patient's heart position state. However, this system had limitations in adjusting therapy parameters in real-time and lacked personalized therapy recommendations. The new inventive concept addresses these limitations by incorporating real-time patient data, machine learning algorithms, and remote server analysis to optimize cardiac therapy delivery.

The new system comprises a processing circuitry that determines a patient's current heart position state and modifies cardiac therapy or sensing parameter values accordingly. The processing circuitry further adjusts the modified parameter values based on real-time patient activity data, such as respiratory phase, rate, or depth. Additionally, the system utilizes machine learning algorithms trained on historical patient data to optimize therapy delivery. In another embodiment, the system includes a communication module that transmits the patient's heart position state to a remote server, which analyzes the data and provides personalized therapy recommendations to the medical device system. The system can also store historical data of the patient's heart position states and corresponding therapy outcomes, allowing for adaptive adjustments to therapy delivery.

The new inventive concept introduces the use of real-time patient activity data, machine learning algorithms, and remote server analysis to optimize cardiac therapy delivery. These features are not present in the original patent and provide a significant improvement over existing cardiac sensing and therapy systems.

Alternative embodiments of the inventive concept could include the use of different types of sensors to detect patient activity, such as accelerometers or gyroscopes. The system could also be adapted for use in other medical applications, such as neurological or musculoskeletal therapy. Additionally, the remote server could be replaced with a local processing unit or a cloud-based service.

The adaptive cardiac sensing and therapy system has significant commercial potential in the medical device industry, particularly in the cardiac rhythm management market. The system's ability to provide personalized and optimized therapy delivery could improve patient outcomes and reduce healthcare costs. The market for this technology could include hospitals, clinics, and medical device manufacturers.