Cardiac Beat Validation for Epilepsy Seizure Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current neurostimulation therapies for epilepsy, such as VNS, lack an efficient and effective means for detecting occurring or impending seizures, which hinders timely intervention and optimization of treatment.
Innovation Solution
A method involving the quantification of candidate heart beats through fiducial time markers, beat quality indices, and validity tests to detect epileptic seizures, enabling responsive actions like therapy delivery or warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple beat validity tests are performed to accurately detect seizures, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The validation process is divided into multiple independent beat validity tests (first beat validity test, second beat validity test, etc.), each evaluating specific aspects of heart beat quality. This segmentation allows comprehensive assessment while maintaining modular test structures that can be independently evaluated.
Solution Approach 2:
The system evaluates multiple parameters including beat quality index values, interbeat intervals, and heart rate variability across different tests. By changing and comparing multiple parameters rather than relying on a single metric, the system achieves higher measurement precision in seizure detection.
2Reliability
If comprehensive beat quality assessment is implemented, then reliability of seizure detection is improved, but processing time increases
Solution Approach 1:
The system performs preliminary beat quality assessments continuously in the background, maintaining a history of beat quality indices and validation results. This preliminary action ensures that when seizure detection is needed, the data is already processed and ready for immediate analysis, reducing decision-making time.
Solution Approach 2:
The system uses feedback from multiple beat validity tests to continuously refine the beat quality index. Each test result feeds into the overall assessment, allowing the system to adapt and improve detection reliability over time while maintaining efficient processing through learned patterns.
Data Source
AI summary
Methods, systems, and apparatus for quantifying the quality of a fiducial time marker for a candidate heart beat, quantifying the quality of a candidate heart beat, or determining a time of beat sequence of the patient's heart. A fiducial time marker is obtained for a candidate heart beat. A quality index of said candidate heart beat is set to a first value. The candidate heart beat is tested with at least one beat validity test. At least a second value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least one beat validity test. The candidate heart beat is tested with at least a second heart beat validity test. At least a third value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least second heart beat validity test. In one class of beat validity test, a constraint defining a pass is modified at one or more times after the most recent prior valid heart beat that is greater than a constraint modification time threshold.