Intracranial Seizure Detection via Voltage Difference Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for detecting intracranial brain wave abnormalities, such as epilepsy, struggle to precisely determine the spatial position of abnormal electricity discharges inside the skull and lack a scientific approach for identifying the precise location of intracranial brain wave abnormalities.
Innovation Solution
A system and method involving an electrode unit with multiple electrodes and a processing unit that includes modules for original electrical voltage collection, voltage difference processing, frequency separation, wave envelope processing, and correlation processing to generate a correlation table for determining the spatial position of intracranial brain wave abnormalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional brain wave detection is used, then detection simplicity is maintained, but measurement precision of abnormal electricity discharge position deteriorates
Solution Approach 1:
The detection system is segmented into multiple electrode collection sub-units, each containing multiple electrodes that correspond to multiple detection points. This segmentation allows precise spatial localization of abnormal brain waves by detecting voltage variations at multiple discrete locations simultaneously, resolving the contradiction between measurement precision and device complexity through structured modular design.
Solution Approach 2:
The patent transitions from single-point detection to multi-dimensional spatial detection by arranging electrodes in specific geometric patterns (such as regular polygons or grids). This dimensional expansion enables the system to determine not only the presence but also the precise spatial coordinates of abnormal electricity discharges, achieving high measurement precision while maintaining manageable device complexity through systematic geometric arrangement.
2Measurement precision
If multiple electrodes are used for spatial detection, then measurement precision improves, but device complexity increases
Solution Approach 1:
Each electrode collection sub-unit is designed with specific local quality characteristics, where electrodes within a sub-unit are arranged in particular geometric patterns (such as regular polygons with specific side lengths or angles). This local quality design allows each sub-unit to independently contribute to spatial localization accuracy, reducing overall system complexity by making each local component self-contained and functionally specific.
Solution Approach 2:
The electrode collection sub-units are designed to be universal and interchangeable, with each sub-unit capable of performing the same detection function. This multi-functionality approach allows the system to maintain high measurement precision through multiple detection points while reducing device complexity by using standardized, reusable components rather than custom-designed electrode arrangements for each detection location.
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 approach allows for precise temporal and spatial detection of seizure onset, reducing noise and external interference, and providing a reliable, scientific method to visualize the position of intracranial brain wave abnormalities, aiding medical professionals in identifying abnormality locations.
Implementation Method 1
an electrode unit for positioning inside or on an outer surface of a brain portion, the electrode unit including at least one electrode collection sub-unit, each electrode collection sub-unit containing a plurality of electrodes for corresponding a plurality of detection points
Implementation Method 2
the electrical voltage difference processing module which connects with the original electrical voltage collecting module being configured to get all the electric voltage variation wave information having the quantity of M and then to compute a subtract operation between two neighboring electrical voltage variation wave information respectively
Implementation Method 3
the frequency separating processing module which connects with the electrical voltage difference processing module be configured to conduct a frequency separating process for every electrical voltage difference wave, so that each electrical voltage difference wave being filtered out and separated into a first band wave signal and a second band wave signal
Data Source
AI summary
Many electrodes are positioned inside a skull for obtaining several electric voltage variation wave information. A processing unit computes subtract operation between two neighboring electrical voltage variation wave information respectively and then can obtain electrical voltage difference waves. Furthermore, each electrical voltage difference wave is separated into a first band wave signal and a second band wave signal. After which, several first band wave envelope signals and second band wave envelope signals are obtained. It conducts a co-relation processing about the first band wave envelope signals and the second band wave envelope signals. So, a co-relation table is obtained for determining a position where an intracranial brain wave abnormality occurs. In this invention, a unique scientific approach to determine the spatial position of seizure onset occurred inside the brain. In addition, the position of intracranial brain wave abnormality can be concretized and visualized by the co-relation table.