Implantable Device Arrhythmia Assessment Using Statistical Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Patients with heart failure face challenges in accurate diagnosis due to limitations in data collection from implantable medical devices, such as pacemakers and monitors, which can lead to uncertainty in identifying arrhythmic events and worsening heart conditions.
Innovation Solution
The use of statistical analysis modes, including 'criteria mode', 'ratio mode', and 'variability mode', to assess arrhythmic events by determining upper and lower percentile values, median values, and calculating ratios from heart rate and pressure data, aiding medical professionals in diagnosing cardiac conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed storage memory size of the IMD is used, then device simplicity is maintained, but measurement precision and reliability of arrhythmia identification deteriorate
Solution Approach 1:
The IMD performs preliminary actions by automatically collecting, storing, and analyzing cardiac parameters (heart rate, pressure, temperature) and generating arrhythmia assessments before clinical review. The device pre-processes data using statistical algorithms to identify arrhythmic events, reducing the complexity of subsequent medical analysis while improving identification accuracy through continuous monitoring and pattern recognition.
2Measurement precision
If limited data collection from IMD electrode is used, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The IMD electrode serves multiple functions: it collects electrical signals for heart rate monitoring, measures pressure parameters, and detects temperature changes. By making the electrode multi-functional, the device achieves comprehensive parameter collection without adding separate sensors, thereby maintaining ease of operation while improving measurement precision through diverse data sources from the same implantable component.
3Reliability
If statistical analysis modes are implemented, then reliability of arrhythmia assessment is improved, but device complexity increases
Solution Approach 1:
The IMD performs self-service by automatically conducting statistical analysis of collected cardiac parameters using integrated algorithms. The device independently calculates arrhythmia assessments, generates diagnostic recommendations, and stores analysis results without requiring external computational resources. This self-contained approach improves assessment reliability while managing complexity through embedded processing capabilities.
Data Source
AI summary
Apparatus using one or more modes of statistical analysis with one or more monitored parameters of a patient's heart to identify and/or assess arrhythmias. Through use of the one or more modes of statistical analysis, a medical professional can be aided during evaluation of patient data for diagnosis of the patient. At least one of the monitored parameters may include one or more values used representatively for storage intervals of a selected length. As such, for each storage interval, a value may be determined for the one monitored parameter occurring at an upper percentile and a lower percentile. In addition, a median value may be determined for the one monitored parameter for each storage interval. Over a plurality of the storage intervals, these determined values can be used in one or more modes of statistical analysis to better identify and assess the arrhythmias.