Cardiac Rhythm Management Ambulatory Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cardiac rhythm management systems face complexity in programming parameters due to interactions between different programmable parameters, making it difficult for users to tailor therapy effectively without clinical assistance, and there is a need for automated optimization of pace timing parameters outside a clinical setting.
Innovation Solution
A cardiac rhythm management system with a programmable device that includes a data collection module, an optimization module to determine recommended delay values based on ambulatory patient data, and a user interface to set and adjust delay ranges within constraints, allowing for ambulatory optimization of pace timing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually program cardiac rhythm management parameters, then therapy can be tailored to patient needs, but the complexity of parameter interactions makes it difficult for users to do so effectively without clinical assistance
Solution Approach 1:
The system automatically determines optimal delay values by analyzing ambulatory patient data and applying optimization algorithms, eliminating the need for users to manually navigate complex parameter interactions. The device performs self-optimization of AV delay and other timing parameters based on collected physiological data, while still allowing users to access tailored therapy through the simplified interface.
Solution Approach 2:
The patent introduces an intermediate optimization layer that mediates between the complex parameter space and the user interface. This intermediate system processes ambulatory data, evaluates parameter interactions, and presents simplified controls to users, effectively shielding them from complexity while maintaining adaptability.
2Ease of operation
If users programmatically adjust parameters without clinical assistance, then convenience is improved, but ensuring optimal parameter settings becomes difficult due to parameter interactions
Solution Approach 1:
The system continuously collects ambulatory patient data and uses this feedback to automatically adjust and optimize delay values. The feedback loop ensures that parameter settings remain optimal by constantly monitoring physiological responses and refining parameters based on real-world performance data, thereby maintaining reliability while enabling independent operation.
Solution Approach 2:
The patent implements preliminary optimization algorithms that pre-calculate optimal parameter settings based on ambulatory data before clinical use. By performing optimization calculations in advance and presenting validated options to users, the system ensures reliability is maintained while enabling convenient independent programming.
3Loss of time
If ambulatory optimization is implemented to determine recommended delay values, then clinical visits are reduced, but automated determination of optimal values requires sophisticated algorithms
Solution Approach 1:
The optimization system is segmented into modular components: data collection modules that gather ambulatory physiological data, processing modules that apply optimization algorithms to determine recommended delay values, and presentation modules that display results to users. This segmentation manages algorithmic complexity through modular design while enabling ambulatory optimization to reduce clinical visits.
Solution Approach 2:
The system dynamically adjusts optimization complexity based on available data and clinical context. The ambulatory optimization algorithms adapt their processing intensity and computational approach according to the quality and quantity of collected data, managing computational complexity while maintaining effective reduction of clinical visit requirements.
Data Source
AI summary
A system and method for cardiac rhythm management using a programmable cardiac rhythm management device is described, wherein the method includes storing parameter interaction constraints between different programmable parameters, storing programmable parameters for the device, wherein each programmable parameter has a predefined set of possible values, wherein one programmable parameter is a delay value, and calculating initial seed values for user-set delay range input fields, wherein the seed values do not violate any parameter interaction constraints and maximize the difference between ends of the user-set delay range, wherein the user-set delay range provides the outer limits of a programmed delay value. The method further includes presenting an input screen to the user on a user display device, wherein the input screen comprises user-set delay range input fields containing the initial seed values. The method further includes receiving values from a user for the user-set delay range, collecting patient data including ambulatory patient data, and determining a recommended delay value based on the ambulatory patient data.