Electrode Array Layout Estimation for Low-Load Excitation Wave Detection
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Solution Overview
Problem
Existing methods require multiple electrodes on biological tissue for excitation wave detection, which can apply a load and are inefficient.
Innovation Solution
A method using deep learning to estimate the optimal arrangement and number of electrodes by generating multiple electrode arrays, learning a relationship between detection signals and excitation wave images, and selecting the best-matched electrode array for detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple electrodes are placed on biological tissue to detect excitation wave at respective positions, then detection precision is improved, but the load applied to biological tissue increases
Solution Approach 1:
The patent creates virtual electrode data by copying and interpolating signals from actual electrodes to generate synthetic signals at positions where no physical electrodes are placed. This allows the system to simulate a denser electrode arrangement without adding more physical electrodes, thereby maintaining measurement precision while reducing the load on biological tissue.
Solution Approach 2:
The patent replaces the mechanical approach of adding more physical electrodes with a computational approach using signal processing and deep learning algorithms. Instead of mechanically increasing electrode density, the system uses virtual electrode technology to achieve the same measurement precision through software-based signal generation and analysis.
2Measurement precision
If more electrodes are used for excitation wave detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent generates virtual electrode signals by copying and processing data from existing electrodes, creating synthetic measurement points without requiring additional physical electrodes. This computational copying approach maintains measurement precision while avoiding the complexity associated with installing, wiring, and managing a larger number of physical electrodes.
Solution Approach 2:
The patent makes the existing electrode array serve multiple functions: it acts as both the physical sensing element and the basis for generating virtual electrode signals. This multi-functionality allows the same hardware to provide both direct measurements and synthesized measurements, reducing the need for additional specialized components and simplifying the overall device architecture.
Data Source
AI summary
A method for estimating an arrangement of electrodes obtains detection signals when an initial electrode array having a sufficient number of electrodes for detection of excitation wave arranged and arrayed in a plane is attached to biological tissue. The method uses a plurality of input data based on detection signals obtained in a plurality of second electrode arrays generated by eliminating a predetermined number of electrodes at random from the initial electrode array, and uses an image of excitation wave in a process of obtaining the detection signals by using the initial electrode array, as teacher data, obtaining a learned model by deep learning. The method selects a second electrode array corresponding to an analysis image that is best matched with the image of the teacher data, among a plurality of analysis images obtained by applying the plurality of input data to the learned model, as a selective electrode array.