Seizure Detection Using Adaptive Work Level Excursion Thresholds
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting epileptic seizures, particularly distinguishing between convulsive and non-convulsive seizures, and differentiating them from normal physiological activity levels.
Innovation Solution
A medical device system that measures work level through arterio-venous differences in oxygen saturation, pressure, or kinetic activity to detect extreme work levels exceeding thresholds, and performs confirmation tests to identify epileptic seizures, including convulsive and partial seizures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If work level measurement is used to detect seizures, then seizure detection capability is improved, but false detection from normal physiological activity increases
Solution Approach 1:
The patent applies dynamics by making the work level threshold adaptive rather than fixed. The threshold dynamically adjusts based on the patient's baseline activity patterns and physiological state, allowing the system to distinguish between normal physiological variations and pathological seizure activity. This resolves the contradiction by enabling reliable seizure detection while adapting to normal activity variations that would otherwise cause false positives.
Solution Approach 2:
The patent changes the parameter of work level threshold from a static value to a dynamically adjusted value based on multiple factors including baseline activity, time of day, and patient state. By modifying this critical parameter adaptively, the system maintains high detection reliability while reducing false alarms from normal physiological activity, thus resolving the measurement precision issue.
2Measurement precision
If confirmation tests are implemented to reduce false detections, then detection accuracy is improved, but response time increases
Solution Approach 1:
The patent applies partial action by implementing selective confirmation testing rather than requiring full confirmation for all detected events. When work level exceeds the adaptive threshold with high confidence, the system can proceed directly to seizure detection without additional confirmation tests, reducing response time. Confirmation tests are only triggered when the detection confidence is lower, thus improving accuracy only when necessary and minimizing time loss.
3Reliability
If multiple body signals are monitored to improve seizure classification, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing a work level measurement system that can serve multiple functions: detecting seizures, classifying seizure types (convulsive vs. non-convulsive), and monitoring general physiological activity. By making the core work level measurement multi-functional, the system achieves reliable seizure classification without proportionally increasing device complexity, as the same measurement infrastructure supports multiple diagnostic purposes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively distinguishes between convulsive and non-convulsive seizures by detecting work level excursions and incommensurateness with activity levels, providing timely warnings and therapies.
Implementation Method 1
determining a work level of the patient's body or a part thereof, based on arterio-venous differences in oxygen saturation, pressure, or kinetic activity
Data Source
AI summary
We report a method of determining an occurrence of an epileptic convulsive seizure in a patient, comprising: receiving body data from a patient during a first time period, determining a work level relating to said first time period at least based partially upon said body data; determining whether said work level exceeds an extreme work level threshold; performing a responsive action, in response to a determination that said work level exceeds said extreme work level threshold. We also report a medical device system configured to implement the method. We also report a non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.