EEG HFO Analysis for Seizure Focus Localization
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Solution Overview
Problem
Current methods for predicting preictal states and localizing seizure onset zones in epilepsy require invasive procedures and are not always accurate, leading to prolonged hospitalization and morbidity risks.
Innovation Solution
A seizure preemption system using electrodes and a controller to record EEG signals, identify high-frequency oscillation (HFO) events, extract features like connectivity, density, peak frequency, and log power, and deliver electrical stimulations to prevent seizures based on preictal state identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intracranial recordings are performed to accurately localize seizure focus, then measurement precision is improved, but device complexity and patient morbidity increase due to surgical procedures
Solution Approach 1:
The patent replaces the mechanical surgical procedure for placing intracranial electrodes with a non-invasive or minimally invasive EEG recording system that uses high-frequency oscillation analysis to localize seizure focus, thereby maintaining measurement precision while eliminating surgical complexity and patient morbidity
Solution Approach 2:
The patent changes the analysis parameter from conventional EEG frequencies to high-frequency oscillations (HFOs), which provide superior localization accuracy without requiring invasive procedures, thus resolving the contradiction between measurement precision and device complexity
2Device complexity
If conventional EEG monitoring is used for presurgical localization, then device complexity is reduced, but measurement precision deteriorates due to inability to detect HFO events
Solution Approach 1:
The patent enhances the EEG analysis by focusing on high-frequency oscillation parameters (70-500 Hz) that are not detectable with conventional EEG monitoring, thereby improving measurement precision while maintaining relative system simplicity through software-based analysis
3Measurement precision
If ictal recordings are obtained to define seizure onset zone, then measurement precision is improved, but loss of time increases due to prolonged hospitalization
Solution Approach 1:
The patent uses interictal HFO analysis to preliminarily identify the seizure onset zone before ictal recordings are needed, allowing for reduced hospitalization time while maintaining localization accuracy through the use of HFO markers that predict seizure focus
4Measurement precision
If intracranial electrodes are placed for accurate seizure focus localization, then measurement precision is improved, but object-affected harmful factors increase due to surgical risks
Solution Approach 1:
The patent substitutes the mechanical intracranial electrode placement with a safer recording system that achieves equivalent or superior measurement precision through high-frequency oscillation analysis, thereby eliminating surgical risks while maintaining diagnostic accuracy
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
This system allows for the prediction and prevention of seizures without the need for ictal recordings, potentially reducing hospitalization and morbidity, and improves the accuracy of seizure focus localization.
Implementation Method 1
The electrodes record EEG signals from a subject
Implementation Method 2
The controller is configured to sample the simultaneous EEG signals, identify HFO events in each EEG signal
Implementation Method 3
The neuromodulator is configured to deliver electrical stimulations to one or more seizure foci of the subject's brain
Data Source
AI summary
A seizure preemption system including electrodes for recording simultaneous electroencephalographic (EEG) signals from a subject, a controller electrically coupled to the electrodes, and a neuromodulator electrically coupled to the controller. The controller is configured to sample the simultaneous EEG signals, identify high frequency oscillation (HFO) events in each EEG signal, and extract one or more features from each EEG signal to yield HFO profiles for the HFOs recorded from each EEG signal. Based on the HFO profiles for the EEG signal, the controller is configured to identify each EEG signal as associated with a preictal state or an interictal state of the subject. The neuromodulator is configured to deliver electrical stimulations to one or more seizure foci of the subject's brain via one or more of the electrodes in response to identification of at least one EEG signal as associated with a preictal state of the subject.


