Micro Electrode Array Weighted Matrix for Neural Signal Resolution
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Solution Overview
Problem
Traditional neural signal recording methods using disk electrodes suffer from low spatial resolution due to high mutual signal levels between adjacent electrodes, and existing solutions like spatial filters and ring electrodes are not scalable or optimized for varying neural recording conditions.
Innovation Solution
A micro electrode array with an optimized weighting matrix applied within a moving window, allowing for adjustable spatial resolution and selectable current density distribution, which can be configured for two or three dimensions and applied to existing or new electrode arrays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional disk electrodes are used for neural signal recording, then the recording system is simple and easy to manufacture, but the spatial resolution is low due to high mutual signal levels between adjacent electrodes
Solution Approach 1:
The patent divides the electrode array into multiple sub-arrays, where each sub-array processes signals independently with its own weighting matrix. This segmentation allows complex signal processing to be distributed across multiple simpler units, improving spatial resolution while managing device complexity through modular architecture.
Solution Approach 2:
The patent applies optimized weighting matrices locally to each electrode or sub-array, allowing each region to have customized signal processing parameters tailored to its specific recording conditions. This local optimization improves spatial resolution by adapting to local tissue properties and electrode configurations without requiring complete redesign of the entire system.
2Measurement precision
If spatial filters are used to improve spatial resolution, then the spatial resolution improves, but the system is not optimized for different neural recording conditions, resolutions, and electrode configurations
Solution Approach 1:
The patent implements dynamic weighting matrices that can be adjusted in real-time based on recording conditions, electrode configuration, and desired spatial resolution. This dynamic adaptation allows the system to optimize performance for different neural recording scenarios without requiring fixed filter designs, thereby improving both spatial resolution and versatility.
Solution Approach 2:
The patent allows modification of weighting matrix parameters including electrode size, pitch, and weighting coefficients to match different recording conditions and target resolutions. By changing these parameters, the system can be optimized for various electrode configurations and neural signal types, achieving high spatial resolution across diverse applications.
3Measurement precision
If surface Laplacian ring electrodes are used to improve spatial resolution, then the spatial resolution improves in certain areas, but the ring structure has limited scalability
Solution Approach 1:
The patent develops a universal weighting matrix framework that can be applied to various electrode geometries including but not limited to ring electrodes. This universal approach allows the same mathematical framework to optimize spatial resolution for different electrode types and configurations, greatly enhancing scalability while maintaining high spatial resolution performance.
Solution Approach 2:
The patent extends the weighting matrix approach from two-dimensional surface Laplacian calculations to three-dimensional volume-constrained optimization. This dimensional extension allows the system to achieve high spatial resolution while providing scalability to different electrode densities and configurations by incorporating depth information and volume constraints.
4Measurement precision
If dense electrode arrays are used for large channel-count neural sensing, then the spatial resolution improves, but high mutual signal levels arise in adjacent electrodes
Solution Approach 1:
The patent converts the harmful mutual signal levels between adjacent electrodes into useful information by applying weighting matrices that deliberately combine signals from multiple electrodes. The weighting scheme is designed to cancel out mutual interference while preserving and enhancing the desired neural signal, transforming the problem of high mutual signals into an opportunity for improved spatial resolution through cooperative signal processing.
Data Source
AI summary
Neural signal recording apparatus and method is described, in which a micro electrode array is utilized for performing a weighted matrix as a moving window providing superpositioning of electrode signals. A voltage distribution across the electrode array is determined as a Laplacian. The apparatus and method can be utilized in a variety of electrode sensing applications involving registering neural activity, and for electrode stimulation applications, or combinations thereof.